MC Project

Everything we know about the 'Girls' revival

support@mycoding.id (Katherine Li) — Wed, 14 Oct 2026 05:02:01 +0700

Lena Dunham, the creator of "Girls," and four of her first castmates are returning for five new episodes of the show. Jim Spellman/WireImage

Millennials are getting older and “Girls” is coming rear to see how that’s going.

HBO announced Tuesday that Lena Dunham’s wit volition come back for a constricted five-episode run, alongside its four foremost women and Andrew Rannells reprising their roles.

The first sequence followed aspiring author Hannah Horvath and her allies through the jobs, relationships, and financial doubt of their 20s in New York. It ran for six seasons from 2012 to 2017, becoming a lightning rod for debates concerning millennial life, feminism, and who gets to conversation for a generation.

Now, Dunham is returning to the characters alongside another decade of perspective.

Here’s everything we cognize concerning the “Girls” revival.

Lena Dunham, Allison Williams, Jemima Kirke, Zosia Mamet, and Andrew Rannells are returning

HBO announced that the four chief characters of "Girls" volition all come back in the revival. Ben Gabbe/Getty Images

According to HBO's announcement, Dunham volition reprise her function as Hannah Horvath, alongside Williams as Marnie Michaels, Kirke as Jessa Johansson, and Mamet as Shoshanna Shapiro.

Rannells is additionally returning as Elijah, Hannah’s ex-boyfriend and friend. All four of Dunham’s returning castmates volition assist as co-executive producers.

The revival volition commerce the anarchy of their 20s for the milestone of turning 40

Amy Gravitt stated the revival episodes volition revisit the characters as they act center age. Jesse Grant/Getty Images for HBO

HBO hasn’t revealed a storyline synopsis, but its wit chief, Amy Gravitt, offered a clue concerning the new episodes’ focus.

“We’re thrilled to have Lena rotate her regard from the tumult of one’s twenties to the milestone of turning forty,” Gravitt stated in a statement.

“To say the earth has changed since we final saw Hannah, Marnie, Shoshanna, Jessa, and Elijah is a enormous understatement," Gravitt added, "but we cognize fans — old and new — volition be blessed to see how they’ve grown and relieved to see that they’re motionless the ‘Girls’ we knew way rear when.”

Details concerning their careers, relationships, and anywhere they’re living remain under wraps.

Dunham stated the idea came to her about her 40th birthday

Lena Dunham stated the idea of a "Girls" revival came to her on her 40th birthday. Jim Spellman/WireImage

The creator stated nostalgia solitary wasn’t adequate to bring the sequence back.

“We continually stated we would lone come back to 'Girls' if there was a particular narrative we were burning to tell,” Dunham stated in a statement. “I’ve missed these characters, but for a lengthy period I couldn’t fairly image them in the current day. Then, correct about my 40th birthday, they started talking to me in the shower.”

“And, as you may remember, formerly this fivesome starts talking it’s beautiful difficult to get them to stop,” Dunham said.

Adam Driver’s come back hasn’t been confirmed

It is unidentified if Adam Driver, who played Hannah’s on-and-off partner Adam Sackler, volition be part of the revival. Alessio Botticelli/GC Images

Driver, who played Hannah’s on-and-off partner Adam Sackler, wasn’t included in HBO’s mold announcement.

That leaves his involvement an open question. His deficiency from the notice doesn’t established whether Adam volition appear in the new episodes.

Driver has multiple movie projects on his slate. He is set to celebrity contrary Anne Hathaway in Ron Howard’s armed forces perform “Alone at Dawn,” scheduled for theatrical publish on Christmas Day 2027. He’s additionally been mold as the villain Mr. Sinister in Marvel’s “X-Men” reboot, due in May 2028.

Judd Apatow is returning, but erstwhile co-showrunner Jenni Konner isn’t confirmed

Jenni Konner, who ran the first sequence alongside Dunham, isn’t confirmed to be part of the revival. Sylvain Gaboury/Patrick McMullan via Getty Images

Dunham volition write, direct, and administrator create the revival. Apatow, an administrator manufacturer on the first series, is additionally returning, alongside administrator producers Ilene S. Landress and Michael P. Cohen.

Konner, who ran the first sequence alongside Dunham, was not listed in HBO's announcement. The brace earlier announced the end of their producing alliance in 2018.

Dunham offered a additional individual document of the separation in her memoir “Famesick,” published this year, describing the breakdown of a association that blended near companionship alongside imaginative collaboration.

Production starts in 2027, but there’s no premiere date yet

HBO announced that filming for the new "Girls" is scheduled to commencement in 2027. J. Countess/Getty Images

According to the HBO announcement, filming is scheduled to commencement next year, a decade after the first series finale.

“Latching,” which aired on April 16, 2017, remaining Hannah adjusting to motherhood in upstate New York, alongside Marnie assisting her lift her son, Grover. Jessa and Shoshanna didn’t appear in the final episode.

HBO has ordered five episodes. HBO has not announced a premiere date or publish schedule.

Is 'Attention' the Essence of Intelligence?

support@mycoding.id (Doris Putra) — Wed, 14 Oct 2026 04:10:25 +0700

Everything that’s swept the earth since the 2022 publish of ChatGPT — “the AI economy”; data centers; chatbots acting as finest friends, doctors, and mathematicians; conversation of existential hazard — it all starts, in several sense, alongside an intern in a University of Montreal lab named Dzmitry Bahdanau.

It was 2014. The 23-year-old Belarusian, who had been coding competitively since he was a kid but hadn’t done scholarly investigation before, was asked to assistance fig out how to get a device to translate sentences from English to French. Bahdanau was operating alongside synthetic neural networks, which had already shown commitment in pattern-recognition tasks specified as deciphering handwriting and identifying objects in photos. The networks study to acknowledge patterns by strengthening and weakening connections between nodes in reply to training data. Bahdanau quietly doubted their possible to accomplish item akin human-level intelligence, but his adviser, the device researcher Yoshua Bengio, and the postdoc on the project, Kyunghyun Cho, were believers. And translation was extensively seen as a formidable and engaging issue for neural networks to try to solve.

Translation is not as uncomplicated as swapping all English term for a French one. Languages have distinct grammatical structures and are riddled alongside idioms and connotations, all of which had lengthy stymied attempts to automate the process. You can’t merely execute rules of translation since there are none. But neural networks seemed promising since they study by example. They can be trained on huge databases of paired English and French sentences to, eventually, assimilate the quasi-rules, exceptions, and subtleties.

Results had been mediocre, though; the longer the sentence, the worse neural networks performed. That’s since researchers were trying to cram all sentence’s data into a fixed amount of recollection before decoding the declaration in the mark language. It was a bottleneck that constricted how complex and advanced translations could be. The network architecture fair wasn’t right.

So Bahdanau tried item different. “It was fair evidently the correct item to do — one of these things that happens formerly in a during in discipline anywhere it’s fair extremely apparent to person who is not extremely informed in the field,” he recalled, speaking to me from Montreal, anywhere he motionless plant in AI. “And it fair worked. From the extremely archetypal attempt.”

Bahdanau’s trick, a mathematical procedure that he, Cho, and Bengio referred to as “attention,” enabled their neural network to translate lengthy sentences fair as fine as abbreviated ones. That meant the method was scalable. Other AI researchers at the period quickly unified notice into their neural network designs. Then, in 2017, a squad at Google devised a new benevolent of neural network architecture called a transformer that supercharged the notice method and stripped distant everything else. The team’s paper, “Attention Is All You Need,” reported that transformers achieved state-of-the-art translation during requiring a fraction of the computation needed to train previous models. The paper, which has since been cited additional than 250,000 times, was a watershed instant in AI. Large tongue models specified as ChatGPT and Claude followed.

Given the staggering power that’s been unleashed, it’s value asking what this notice scheme is exactly, why it is “all you need,” and why device translation was the project that unlocked it all. Attention is a way for us to comprehend how a sole AI example can converse alongside us, diagnose diseases, create realistic videos, solve long-standing math problems, and more. Is it somehow at the bosom of intellect — synthetic and otherwise?

Sentences alongside pronouns specified as “it” in them exemplify the difficulty that notice overcomes. Consider: “The animal didn’t cross the street since it was too tired.” And: “The animal didn’t cross the street since it was too wide.” To translate these sentences correctly into French, an AI example must decide that, in the archetypal one, “it” refers to the animal, which is a masculine term in French, so the translation should use that form of the pronoun, il. But in the second sentence, “it” refers to the street, a feminine term that requires a distinct pronoun, elle. How can the device fig this out?

Bahdanau remembered doing translation exercises whenever he was learning English in school. To compose all next term of his translated sentence, he’d have to glance all about the origin content to fig out what should arrive next. “Literally you have your origin declaration on the remaining and your penning on the right, and you’ll be, like, turning your head, left-right, left-right,” he said. “That procedure is what I expressed as a neural mechanism.” The tool of notice that he gave to his neural network was a mathematical way for the network to acknowledge the term or words anyplace in a declaration that would most communicate the next term of the translation. In the case of our ambiguous pronoun, “it,” the scheme navigates the remainder of the declaration to decide which words power its definition the most.

A transformer consists of many layers of nodes connected to nodes in neighboring layers. When a declaration is fed into a transformer, all term is archetypal converted into a numerical depiction called a vector, which we can ideate as an arrow pointing in a certain direction. These vectors continue through the network, and numbers called weights (determined by the model’s training) dictate how they are transformed in all layer. The weights rotate all word’s current vector depiction into three new vectors particular to that term — a “query,” “key,” and “value” — that all assist a distinct intent in the notice operation.

The network performs this procedure multiple times in parallel through systems called notice heads. An notice caput compares all word’s query alongside the keys of all the another words in the sentence. How fine these vectors equivalent up — how much they item in the identical direction — determines how powerfully the value of all another term contributes to a new, updated vector for the term at hand. Information concerning another words in the declaration exactly becomes unified into all word’s representation. The scheme is converting environment into math.

When “The animal didn’t cross the street since it was too tired” enters a transformer, the archetypal stack of layers in the network, known as the encoder, uses the notice procedure to build up a contextual understanding of the sentence. In all layer, all notice caput generates a query (along alongside a key and value) for “it.” This query vector can be idea of as a petition for data that exists elsewhere in the sentence. For instance, in a profound tier (after the network has already accumulated data concerning words), the query for “it” power be interpretable as: “I need an before noun that could plausibly be the item that is tired.” Meanwhile, the key connected alongside “animal” power efficiently advertise itself as a noun that’s capable of being tired, among many another features. Its key hence matches the query improved than the key for “street.” And that causes the value connected alongside “animal” to contribute additional heavily to the updated depiction of “it.”

That new, context-enriched depiction of “it” passes into the next layer. There, the network performs notice all complete again. Successive rounds provision the words increasingly affluent representations of themselves.

Experts say it’s frequently difficult to construe what any stated notice caput is doing, but collectively they choice up on many kinds of relationships, from the alliance between nouns and verbs to the affiliation between living beings and feelings. Later layers build on associations established by before layers, so that by the period the declaration emerges from the encoder, “it” is imbued alongside item resembling meaning.

After that, the second part of the transformer, the decoder, produces the French translation one term at a time, using notice to diagram on the encoder’s numerical representations of the English words as it decides which French term to spit out next. The contextual data encoded in the English declaration helps translate “it” as the masculine il.

Crucially, no one had to inform a transformer that animals get tired and streets may be wide. The neural network discovers specified associations during training, by learning from huge numbers of English sentences paired alongside their French translations. These associations get built into the weights. The network starts out alongside random weights that create unhelpful queries, keys, and values, and thus mediocre translations. But all translation error sends a correction indication backward through the network that slightly alters the weights that produced it. Through trillions of these adjustments, the network eventually generates helpful vectors that output accurate translations, equal whenever it processes sentences it has never seen before.

Attention turned out to be the correct mathematical procedure for linking words and construction environment — the fundamentals of translation. And whenever you can translate blocks of content of unlimited size, it seems you can do anything.

A neural network that has learned adequate concerning tongue to translate sentences from English into French can additionally complete sentences in either language. Predicting the next term of a translation is, in another words, a subtask of the additional broad project of “predicting the next word,” period. And that’s what ample tongue models do. They’re trained on the contents of the complete internet, learning which words should act to which another words in all sorts of contexts. They procedure and reprocess the entire dataset and try trillions of times to foretell the next term in any part of the web they happen to be in at any item during training. The connections between neurons in these models are gradually tweaked in a way that produces patterns of notice between words that are always additional helpful for predicting the next term in any environment — or for producing an suitable reply to a immediate from a human.

From the capability to translate the term “it,” we somehow got a revolution.

“That’s fairly a leap, isn’t it?” stated Llion Jones, among the authors of “Attention Is All You Need,” who is now the chief innovation authoritative of Sakana AI.

Jones and others doubtful that predicting the next word, which is known as tongue modeling, is “AI-complete”: a project so difficult that solving it method you have arguably solved AI in general. The logic it may be AI-complete is that this project includes, as a subtask, practically item humans do in written form. “The net has translations,” Jones notes. “So if I stated ‘“The animal didn’t cross the street since it was too tired” in French is [blank],’ afterward in command to complete that sentence, the transformer needs to be capable to translate into French. If I say ‘2 + 3 is [blank],’ it needs to do arithmetic. If it sees a bunch of mathematical symbols in a row and wants to cognize what comes next, it needs to comprehend high-level mathematics. If I say ‘The chairman of the United States is [blank],’ it needs to cognize facts. So being capable to foretell the next term requires you to be capable to do all these things. And since it’s AI-complete, tongue modeling is benevolent of the closest definition that we have to intelligence.”

It power not be apt to say that an LLM “knows” or “understands” item — not in the way that a individual does — but that’s fair how we’re acquainted to talking concerning the abilities they display. Regardless, notice is the tool by which synthetic neural networks admission and communicate meaning, association, and context, frequently fine adequate to astonish us alongside their fluency. (For tasks specified as advanced mathematics, today’s frontier AI models frequently have additional definitive ceremonial reasoning and evidence verification systems layered on top of their tongue modeling to inspect their work.)

But what concerning individual intelligence? Might our brains employ a scheme akin to the mathematical procedure Bahdanau invented? After all, we, too, do item akin to “producing the finest imaginable next word” whenever we speak, write, and equal think. Perhaps our form of intellect is tantamount to tongue modeling, too?

Cognitive scientists have begun to study this inquiry — a new type of the ancient inquiry of how tongue relates to thought. To be sure, the achievement of LLMs shows how much data concerning the earth is encoded in the statistical patterns of tongue alone. The inquiry is: When we expert language, does intellect arrive for free?

Recent research persuades me that individual idea is not purely linguistic (and most another animals’ intellect is not linguistic at all): When we are thinking, additional brain regions ray up than fair the specialized networks in the cerebral cortex that are connected alongside language. Language is how we communicate concerning the world, but our thoughts appear to diagram on sensory impressions, bodily and social experiences, memories, and reasoning abilities that be at smallest partially outside the brain’s tongue networks. So tongue modeling seems to be merely a mighty component of individual cognition, not its equal or source.

As for how we do “it” — how I immediately comprehend that it’s the animal fairly than the street that is tired — no one yet knows. Jones, for his part, now thinks that notice is not all you need to really expert tongue modeling. After all, the brain evidently accomplishes this project far additional efficiently than transformers do. We converse fluently without having peruse the entire net equal once, and without burning as much energy. “The current paradigm won’t resolve this [efficiency] problem,” Jones said. “You appear to have to jump to item very, extremely different.”

Regardless of what our own neural mechanisms power be, it makes awareness to me in hindsight that solving translation unlocked AI. Whether you’re individual or machine, the capability to translate efficiently method you have understood, in several sense. Now the machines comprehend so much — effectively, at smallest — that we barely cognize what to think anymore.

I built a tool to track what AI leaders say and how their views change on video

support@mycoding.id (Doris Putra) — Wed, 14 Oct 2026 02:09:13 +0700

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High-speed video reveals how honey bee stingers pump venom

support@mycoding.id (Doris Putra) — Wed, 14 Oct 2026 02:05:23 +0700

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Do Frameworks Matter Anymore?

support@mycoding.id (Doris Putra) — Wed, 14 Oct 2026 02:01:08 +0700

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2026-09-16

I'm not trying to be facetious. I really desire regard whether or not, in 2026, in the age of vibe coding, agentic programming, iteration or chart or any diagrammatic metaphor-based engineering is most popular, does it matters what web example you use? More considerably (to me and my particular interests), and at the hazard of Betteridge-ing myself: should we create new frameworks?

React won, so do we always try item new?

Is there now fair additional area for niches? Nobody cares concerning the implementation details. Nobody cares what's in a .tsx file. Does that open up new opportunities to try item new, or, since it doesn't matter, does the industry as a entire fair decide to use the most stable thing, forever?

In this period of awesome disruption, we get the chance to rethink finest practices (or in Remix's case, re-rethink), and lay everything on the array again. That doesn't average everything stays on the table, fair that we'll obtain the good, depart the bad, and modify the ugly. The inquiry of this part isn't one that needs refuting, it's one value considering seriously.

As person who has worked on open origin frameworks in a full-time capability for 3 years, I'm deeply curious in this question. I'm not curious in protecting myself/my craft, I'm curious in bettering my accomplishment and having a fine career. I am considering and additionally trying to foretell (and make) the future. It's humbling to recall "I could be wrong", and it's encouraging to recall most everyone alternatively volition be.

In this article, I desire to interrupt the inquiry and its implications downward into their additional essential elements, so I can rebuild a type of actuality value following and building. To do that, it would be value archetypal considering what a web example is. I discover this really hard, since it's a extremely nebulous and broad term, and you end up comparing Flask to jQuery to React to Next.js. Instead, I think it's additional helpful to regard what value frameworks provide. I think this declaration is sufficient:

Frameworks provision abstractions, structure, and constraints for construction your website.

Imagine

Imagine there's no React
It's uncomplicated if you try
No Svelte below us
Above us, lone bi(nary)
Imagine all the people
Prompting for today

(Sorry, Svelte, for replacing you alongside the term "hell". It's not since I comprehend a resemblance, I fair liked the way it sounded.)

So let's come back to the argument, and enchantment it out a bit more. This is the accepted knowledge I am hearing correct now:

Since the models got fine (circa Winter '25-'26) for agentic programming, I attention small and small concerning the code (and you should too). This is particularly true alongside any frontend code, since it's all mostly presentational. Therefore, if it looks good, it is good.
Given the province of the models, and stated that React is already the most foremost UI framework, alongside the extremely famous meta-framework Next.js (plus a few another fine choices akin React Router and TanStack Start), there really is no need or value in trying item alternatively out. Plus, since there is vastly additional React code out there in the wild, the models are trained additional heavily on it and are hence improved (or at smallest additional familiar) alongside React. The React singularity has already happened, obtain it.

Obviously (I hope) I am now being a bit facetious. The disagreement is motionless value considering, mostly since I see group cargo culting this opinion and React alongside alongside it into their vibe-coded apps. There are, however, several much additional grave folks specified as the Cursor squad who do appear to be convinced that in the age of agentic programming using React is an advantage.

I'm tempted to dig into all of these claims:

You don't need to concern concerning frontend code
Models are finest alongside React since of their training data
Models would be bad alongside a new example since of a deficiency of training data

I'm not really certain of the value, though, particularly in arguing concerning React. I have a much bigger matter alongside the logic, and it stems from my first question: Do frameworks matter anymore?

Here's what I don't get concerning the argument: why React? Why any example or UI archive at all?

If LLMs have gotten so fine at frontend code, and if group attention small and small concerning the particulars of their HTML, JavaScript, and CSS and lone attention that it looks and behaves properly, afterward why equal put a tier of idea between the LLM and the website? If always there were a period to clasp Web Components, certainly it's now.

React no longer have to be one's personality. Disclaimer: I say this as person alongside a YouTube conduit named "React Tips alongside Brooks Lybrand". Plus, we already have AI labs to create our new personality, so we'll be fine.

Let me throw the disagreement differently:

Since the models got fine (circa Winter '25-'26) for agentic programming, it's easier than always to build a beautiful and interactive website without having to concern concerning what we earlier called DX (Developer Experience). My delegate doesn't attention concerning things akin file-based routing, and why should I annoy it alongside correctly environment up a useEffect?
Plus, models are really fine trained on JavaScript, HTML, and CSS (sort of), so there's really no need or value in adding any additional layers of complexity.

I think there are several logical leaps and mistakes in this sentiment, but no additional than in the first, additional extensively accepted one.

Either:

Frameworks do not matter, in which case you have no logic to use React.
You are apt motionless at an advantage using React, in which case frameworks do matter.

What is the value of a web framework?

Ah, the web framework. Where does it start, anywhere does it end? What's its purpose? Do we equal need any at all? After all, what was so bad concerning jQuery? Has anyone made the disagreement yet that we should fair let the delegate use jQuery since it's fine represented in its training data? If not, they should. An delegate doesn't attention concerning spaghetti code, right?

I'm old adequate to recall the "framework wars" of the 2010s. When I did my own evaluation for my business at the time, I was picking between React, Angular, and Vue. Those were the "frameworks" we talked about. Gatsby existed, but wasn't general-purpose adequate (static-site generation only). Next.js was beautiful cool, but additionally beautiful constricted (no fine mutation story). For the most part, if you were in the React ecosystem, you fair used create-react-app (CRA) and maybe you ejected if you really had person on your squad who idea SSR was precious and wanted to set it up.

I ultimately picked React, and many another group did too. But why? What made React so compelling as a framework?

If you ask the React squad why React won or why it's so great, they volition apt say "composition". I discover it extremely difficult to encapsulate exactly what made React so special, but I think this is a big part of it. I didn't really comprehend what "composition" meant first in my occupation and React usage. I fair knew that:

React was really uncomplicated to plug into an existing site
React had a really nice way to encapsulate logic and markup into contained and possibly reusable components
React had a sturdy and continually expanding ecosystem of libraries that helped inhabit in additional pieces I needed: routing, styling, head/meta tag management, etc.

I would study afterward that React additionally provided server-side rendering (SSR) out the gate, making it appearance and awareness a fine bit akin PHP alongside its HTML-in-your-scripting-language kind of experience. Setting this up was a bit additional involved, particularly for folks akin myself who were additional frontend-focused. This led to the increase of the "backend-for-frontend engineer" and the meta-frameworks akin Next.js and Remix (the old one, sorry).

React was solving a figure of problems. Despite what Mr. Rauch thinks (and ordinarily, he is beautiful much on the money), React didn't "win" since it came alongside a component archive that wraps a awesome manner scheme and lower-level accessible components and utilities that you can own and morph to your own needs. shadcn/ui is awesome, don't get me wrong. But equal inside the component-library/design scheme story, it's the latest development in a lengthy row of successors from Radix to Reach UI to Material UI to Bootstrap and many, many additional that I'm skipping, forgetting, or unaware of. The beingness of shadcn/ui on top of many another famous incumbents is a testament to what makes React great, not the another way around.

This lengthy but concise amusement of why React "won" barely does fairness to the complete history, and it certainly doesn't equal contact on what makes another web frameworks interesting. Despite React's predominance, plentifulness of another frameworks and meta-frameworks get millions of weekly downloads and are loved by many a developer. It additionally entirely glosses complete the fame of non-JavaScript-based frameworks specified as Laravel and Ruby on Rails.

I don't cognize a improved way to regard value frameworks provision without introspecting what made my archetypal love, React, so particular to me. React made it easier to build energetic websites without ending up alongside spaghetti code, and spaghetti code was bad since it was costly to alter and keep in the lengthy term. React enabled me, elevated me as an engineer, solved problems I didn't desire to solve, and opened me up to an ecosystem of another developers who were making it improved and construction additional helpful tools on top of it.

As I stated at the top of this post, I think the value-add of a example is beautiful simple: frameworks provision abstractions, structure, and constraints for construction your website.

This isn't equal really a distinctive asset of frameworks, this is true for all libraries, modules, classes, and functions. Code is a sequence of abstractions that province definition and intent to computers and item alternatively that volition manipulate or study from that code. Previously, that meant humans, and we called it "reading the code", and so we cared a lot concerning things akin changeable names. These days the flat of item we attention concerning is shifting and resettling. Maybe we're on several infinite curve and we'll attention small and small concerning the trees until we don't equal attention concerning the forest. Personally, I'm doubtful, but I could certainly be wrong.

Either way, I think I motionless desire a framework. I desire code that's fine tested, secure, uncomplicated to logic about, and that gets my delegate in the grooves it needs to be in to create results I like.

Everyone uses a framework

Alright, the jig is up, I'm being a little facetious whenever I ask "Do frameworks matter anymore?"

I recall that during a Q&A alongside the Core Team at React Conf 2024, Ricky Hanlon made this point:

You're either using a framework, or construction a framework, and construction a example is really hard.

This wasn't the archetypal period I'd heard this. In fact, at a previous job as an engineer on the web phase squad of a Texas market store, we ran into the identical thing. We built our own meta-framework about React to grip server-side rendering for first requests, following which the use would hydrate the entire document and hand off routing on the client using React Router (v5?).

While we did have a adorable name for this small meta-framework we made (exo, I believe, and no one could concur why it was called that), most engineers didn't think of it as a framework. I accuse that mostly on the blend of a deficiency of features and a deficiency of promotion (why would we market an inner framework?). Nevertheless, we had motionless built our own framework, and it came alongside a lot of care disbursal and burden, affirmative extremely few engineers really understood how it worked, making it a beautiful decent-sized liability.

Long narrative short, they started the procedure of moving off of this home-grown meta-framework and switching to Next.js. I didn't get to see the passage through since this was about the period I went to activity alongside the Remix squad at Shopify (of way we "joked" that it was this decision that drove me away).

The timeline of this anecdote is beautiful definitively correct before agentic programming would git gud. Assuming you're starting a greenfield project correct now, and assuming it's not fair for display purposes or a 1-off presentational website, I think Ricky's declaration is the two additional true now than ever, and a small bit wrong.

Let's commencement alongside the wrong: "building a example is really hard". It's really not anymore. I mean, it depends on what you want. If you desire a good, robust, bug-free, secure, full-stack framework, it's gonna obtain a lot additional than a brace of prompts to really tissue out. And afterward whenever you commencement using it, you may discover that LLMs can't really create it activity for all the things you ask it to do, so they fair quietly build hacks about your framework, and depending on how you're construction this example those hacks end up becoming part of the framework. Avoiding bolting on hacky workarounds and deciding on good, robust, and extensible abstractions necessitate a bit of activity and iteration, equal alongside frontier models, in my experience.

However, construction a framework, not equal a shitty one, fair an fine one, is not really hard. I cognize this since if you don't use a example and you commencement construction a website alongside an LLM, it volition build a example for you. The LLM power not have the characteristic breadth and certainly not the promotion dollars or ambition to market you on its framework, but it motionless builds a framework. It'll create a example fair akin it'll create functions, and classes, and all the representative abstractions we used to create whenever we programmed "by hand". Just since you're looking at it small doesn't average the delegate isn't basically doing the exact identical item we're doing. I don't equal attention to call it slop, it's advancing characteristic adding alongside no cleanup, that's how I built all of my archetypal projects. This is nothing new, the biggest item that's changed is speed.

An delegate can now build your website faster. It can appearance up data and ideas faster. It can create a disorder faster. We were capable of all of these things before, this is not a "humans > AI at programming" take. My item is merely that you are either using an definitive framework, or generating an implied one. If you don't think it matters at all, afterward to my before point, why equal use React? You may not comprehend your bespoke framework, but your delegate does and it wrote it and it likely likes it. You ask the LLM concerning its example and it knows additional concerning it than you cognize concerning React's internals, and it's fair one stage additional alongside the inevitable pathway of merely having LLMs container binaries alternatively of human-readable code. If that's what you believe, at smallest be honest concerning it and throw distant React, certainly it's lone slowing you down.

If you do somehow, for several reason, think it's improved that an LLM use a example akin React or a meta-framework akin Next.js, my conjecture is it's since you favor the LLM to use item battle-tested, well-abstracted, and well-documented. You likely additionally akin that it sets up guardrails for the agent, it avoids reinventing the rotor anywhere the current rotor gets you anywhere you desire to go. You may additionally akin that a entire squad and many another companies that depend on that example are thinking concerning safety issues, not fair you and (fingers crossed) your agent. You may have another reasons, but current are mine:

What I desire (and don't want) in a framework

These days, I am much additional curious in the "shape" of code, item abstractions and construction assistance alongside tremendously. I'm additionally curious in constraining my delegate (tests, linting, Skills, scalable patterns to replicate). There are many things that used to be crucial to me whenever I was the one immediately typing the characters of the code, things mostly tagged as Developer Experience (DX). Some of that material is motionless helpful to me, several of it is no longer extremely helpful to me (but is to the agent), and several of it doesn't appear to be helpful to either of us. Let's appearance at several anecdotal examples.

Take Hot Module Replacement.

HMR allows me to create changes to a website and immediately see updates in my browser without having to refresh the screen. When this plant reliably, it is incredibly helpful, particularly whenever tweaking the scheme of item that involves a person stream (like error messages on a form, accordions that commencement out collapsed, and complete positioning of a decorative element). This isn't a make-it-or-break-it feature, but I have established that equal whenever operating alongside agents (maybe particularly since operating alongside them), HMR is extremely helpful if I am operating on complex person interactions and really trying to dial in the design.

Take TypeScript.

TypeScript used to be excellent precious to me since it created constraints. My JavaScript now had to be typed (and C# devs rejoiced, so I'm told). Additionally, it made it much easier to detect the sectors and methods accessible in an object, since I could fair hover or command+. on stated entity and see what was available. TypeScript was a big part of creating the built-in records that helped create me remain productive during I was in the code. These days I beautiful much don't attention at all concerning discovering particular methods on an object, and the category constraints don't immediately assistance me.

However, many others and I motionless appear to discover that for complex applications (not fair 1-shot vibed material you'll throw away), having the constraints of types really dials in the LLMs' capability to iterate on code without accidentally breaking everything. Plus, as far as I can tell, having admission to the LSP seems to assistance it alongside finding whenever encountering a function, object, or component it's not deeply acquainted alongside (such as bequest code or code generated by a previous agent).

Take useEffect.

I cognize it's benevolent of the poster kid for shitting on React, and I cognize the React squad has supplied new APIs that are expected to assistance alongside its shortcomings. The item is, though, I was a useEffect wizard whenever I was personally slinging the React (at smallest I felt akin I was). I didn't intellect useEffect so much, I trusted myself alongside it. It was a dependable, quirky, and extremely mighty hook that I felt comfortable wielding, chiefly since I felt assured I knew whenever not to use it. With LLMs, I discover useEffect to be worse than quirky, and no matter how astute the example is I don't awareness comfortable at all alongside them wielding that abstraction. In fact, Grok Bot's betterment apparently bans useEffect outright.

Let's recall the example value-add. I desire a example alongside a abbreviated skirt and a lengthy coat that provides abstractions, structure, and constraints for construction a website.

I discover that if an abstraction doesn't exist, an LLM volition create it. Sometimes that doesn't really matter, sometimes it's fair a one-off abstraction. Sometimes it does matter, though, sometimes an idea is built about an genuine web primitive (the Navigation API for client navigations). Sometimes an idea plays fine alongside another abstractions (using fetch and the Request/Response example throughout the router). Sometimes an idea encapsulates behavior that's extremely difficult to get correct consistently and bug-free the archetypal period (React's Server Components if you akin 'em, Remix's Frame if you don't).

I've already talked concerning how I motionless akin to see the shape, or structure of code. Maybe Mr. Musk is correct and we're fair accelerating to a superhuman flat of coding, and me trying to comprehend the code is ultimately a drag. For now, I discover I get the finest results whenever I activity alongside the agent, create a fine center architecture for it to build off of, and continually refine the architecture whenever I discover it generating difficult-to-follow code (not equal for me, for the agents; I notice whenever they get confused).

And finally, constraints. I desire it to be incredibly apparent how to do the correct item the correct way. I desire escape hatches to be possible, but mostly unnecessary and continually apparent to me and the device whenever they're taken. I desire evaluation and tooling that inspect the agent's activity built into the framework. I desire fine docs accessible immediately, preferably in my node_modules, so the delegate isn't continually wasting period abrasion the net and possibly bringing in bad advice.

So do frameworks matter anymore?

I have been penning this blog article for 3 weeks at this point. I've spent the final 3 years of my occupation operating on open-source web frameworks. I akin this work, and I'd akin this to be what I activity on for the foreseeable future. Answering the inquiry "do frameworks matter anymore?" is incredibly crucial to me, since additional than I affection operating on frameworks, I dislike the idea of operating on item that doesn't matter.

Through penning this part and multiple conversations alongside peers in the industry, I awareness beautiful assured concerning a few things:

AI is entirely reshaping how application is made, the two individually and at scale.
Until proven otherwise, distinct group and approaches output varying degrees of quality, equal whenever using the identical model/harness. Thus, I volition treat an LLM as a tool I can improve.
No one really knows the long-term effect AI volition have on application development, let solitary the world.
AI is currently the industry's chief focus.

I think the Framework Wars of ~2013-2019, followed by the sequel Framework Wars: The Rise of the Meta-Frameworks ~2020-2024, are over. Clearly, by putting the end twelvemonth of 2024, I accept they've been complete for a small bit. People can halt being fatigued by JavaScript, and appreciate goodness since we all cognize we're fatigued by the AI hype/doomer cycle.

I've accepted, or am accepting, that group do not yearn for frameworks the way they used to, and in many ways that's likely a really fine thing. It got a small insane there for a second, and I, of course, was extremely much bought in.

But item doesn't have to be the center of the hype sequence to be crucial or useful. There wasn't a entire lot of conversation concerning the achievement of git or finding an substitute to GitHub until swaths of OpenClaws and another agents on the free stress-tested the entire scheme and identified new bottlenecks. Now there's a lot of concentration here.

Technological betterment is dynamic, and new tools, ideas, patterns, and libraries beget equal additional of the same. Instead of sitting about moping concerning how group don't desire to combat on Xwitter concerning Next.js vs Remix anymore, I'd fairly really obtain part in construction what I think I and another group could advantage from.

So again: do frameworks matter anymore? Let me explain my "yes" by summarizing my points so far:

The industry seems to think so, alternatively why use React?
If you don't use a framework, your delegate volition create a framework, so you're using one whether you akin it or not.
Frameworks provision abstractions, structure, and constraints for construction your website. These are fine whenever shaping application alongside an agent. Using a well-thought-out, open-source, battle-tested, and well-documented one apt has benefits complete the homegrown one your example created.

As I sit current and lay out the summary of my thoughts so far, I acknowledge that it may appearance akin I'm fighting a straw man. "Of way group think frameworks matter and assistance your agent, that's already a solved issue alongside React and Next.js (or any of the another existing frameworks that are fine enough)."

Fair enough. I conjecture the inquiry is: Do new frameworks matter anymore?

I think we're in a sad location in individual and scientific betterment if we think all problems are solved. That benevolent of decadence is not for me. To me, if item is good, afterward you can likely create it better. Maybe the existing landscape is "good enough", and that's fine if it is for you, but it's not for me.

I desire a JavaScript example that is full-stack, actually. Maybe we'll never get there, previous attempts did not obtain off (👋 Meteor, we all loved you). So lengthy as I (or my agent) have to cobble together a bunch of packages to collect a complete full-stack applicatio, from repository to routing to styling, animations, and accessible components, there's area for improvement.

I desire it to be built on web standards and APIs, so that it speaks the tongue of the web, not the tongue of Node.js or any sole JavaScript runtime. I desire it to be a example that feels worldwide and akin an apparent expansion of the phase it's built for, not an esoteric investigation project by a PhD candidate.

I additionally desire a example that AI can activity alongside easily, and that results in code I can logic about. I don't desire the end outcome to be a disorder I don't understand. I'm not construction the car, but dammit, I desire to open the hood and really cognize what I'm looking at. I have yet to see a fine empirical way to really build a language/framework "for agents". So far, my sensation (which fair method my subjective, biased cognition operating alongside these models) matters so much more to me than any benchmark or inspection of how many tokens were used to create a TODO app. I'm not saying we shouldn't try, I'm saying the difficulty of creating a definitive, goal measure of which example is finest for agents is evidence adequate to me that there is area to keep improving.

Do new frameworks matter anymore? There's lone one way to really discover out. Let's build some.

Thank you to Alex Anderson, Moishi Netzer, Elijah F. Hopp, and Braydon Coyer for study an first outline of this article and providing precious feedback. Thank you additionally to my colleagues Matt Brophy, Mark Dalgleish, and Michael Jackson for endless debates and sharing their own thoughts on this topic. 🙏

Built from Markdown alongside a tiny Node.js script.

Bing Webmaster Tools Sorts AI Search Queries Into Topics

support@mycoding.id (Matt G. Southern) — Wed, 14 Oct 2026 01:19:30 +0700

Microsoft announced a beta characteristic called Topics Portfolio inner the AI Performance study in Bing Webmaster Tools. It groups the queries your location is cited for in AI answers into broader topics and lists queries in those topics anywhere another sites appear and yours doesn’t.

Bing calls those grounding queries, which are the hunt conditions that Bing’s AI uses to find satisfied (and cite) in its answers using the two Copilot and Bing’s AI summary alongside alongside choose partner integrations. The new perspective volition lone display up if Bing has adequate data on your website. Topics alongside too small location existence or ecosystem action won’t be displayed by Bing, hence smaller websites power get small items listed or perchance not see this characteristic at all.

What Topics Portfolio Shows

Topics Portfolio resides inside a new tab to the correct of Citations & Pages in the AI Performance section. The archetypal display of Topics Portfolio provides you alongside topics anywhere the business refers to your location as having a “meaningful” presence. Three metrics escort all listed topic.

The Topic Size metric represents an estimated total citation figure throughout all sites for the topic during the period example you have specified; this is described by the business as a way to gauge petition for searches through their AI. Sites Cited indicates the approximate figure of sites that appear for queries in the topic. Queries shows the approximate figure of distinct grounding queries that be inside the topic.

Immediately below the array showing your topics is a catalog called Top Opportunity Queries. This catalog pulls opportunities from throughout your topics and includes queries in which another websites are cited but your website is not. All numbers representing citation quantity in this catalog are provided in range form.

Clicking a topic opens a item leaf alongside the topic’s size, your citations inside it, and its query count. One array underneath lists the topic’s queries anywhere your location already appears. The another lists the topic’s chance queries, again alongside citation ranges.

You can perspective the data complete a one-, two- or three-month window.

What’s Different From June

Compared to the June release, Topics Portfolio can provision a total throughout all sites at the topic level. It can additionally catalog queries your location is not being cited on. Microsoft has stated that the portfolio view, ecosystem environment and chance queries are the items the study couldn’t display before.

AI Performance went into public preview in February; I wrote concerning the June updates that included Topics, Intents, Citation Share and Compare. Those Topics labels were groupings of the grounding queries anywhere your location was already cited.

Citation Share, which was introduced in June as well, provides your percent of all citations for a grounding query. Bing states on their AI Performance assistance page that Citation Share does not disclose competitor domain names and is intended to exemplify your existence related to others without showing any data connected to others.

Beta Limits

Topics Portfolio’s topics are generated by Artificial Intelligence (AI) hence it is imaginable to district a query that would be categorized under a distinct tag than how you would tag it. In addition, tagged searches may appear as opportunities. An example of this from Microsoft was a footwear website which had their competitor’s brand hunt on the Running Shoes topic as an opportunity.

Microsoft wrote:

“Treat the numbers as directional signals for planning, not as a exact ledger.”

Each chance query or topic row has a “thumbs up” and “thumbs down” choice for feedback.

Why This Matters

Opportunity queries hand satisfied teams a catalog of queries concerning their own topics anywhere AI answers citation another sites, but do not citation theirs. That makes Bing’s beta a starting item for finding safety gaps, although the catalog can contain rival-brand queries that aren’t applicable to your site. The topic measurements provided through Topics Portfolio are estimates. The chance volumes arrive as ranges, so these numbers volition provision an approximate difference among assorted topics; however, they volition not authorize you to track particular citation counts.

Looking Ahead

Bing’s AI Performance assistance leaf didn’t shield Topics Portfolio as of this writing, so the limits division of Bing’s article is the chief written direction for now. Bing’s notice gives no date for Topics Portfolio to depart beta. Microsoft says ratings from the feedback controls go to the squad handling classification and chance selection, and form what it fixes first.

Featured Image: Mamun_Sheikh/Shutterstock

Category News AI Search

Show HN: Pulse Local, a Mac budgeting app whose AI models run on your machine

support@mycoding.id (Adi Gunawan) — Wed, 14 Oct 2026 00:13:23 +0700

“Local” normally method your data.
Not your question.

Your ledger sits on your disk. Then you ask something, and the inquiry affirmative the rows that answer it go to a hosted model.

Ask concerning your money.
Keep the conversation private.

Find out anywhere your prosperity went, difference months, or inspect what is remaining in your budget. Supported spending answers are calculated from your transactions and peruse twice before a fig is shown.

Check the duration and category. Labels complete spending answers display what Pulse included. Select one to alter it.

Keep the conversation going. Ask “by merchant” for a breakdown, or name another duration to compare.

Your decisions remain yours. Pulse explains your figures and mundane budgeting terms. What to do concerning them is up to you.

Know the limits. Pulse can misunderstand a question. When its two readings differ it says it is not certain alternatively of guessing, and AI answers are labelled.

See what you can ask.
Then create it your own.

These are genuine replies from the app, run on example transactions. The follow-up questions display how to interrupt an amount downward or difference it alongside another month.

AskSeptember 2026

Pick a inquiry on the right. The replies are real: all one came out of the app, answered against a example ledger.

0 asked0 double-checked0 written by the model0 B sent

A complete budgeting app.
Not a privacy demo.

Plans and targets, rules, rollover, splits, prosperity flow, forecast. It covers the dirt the most used budgeting apps cover, and does all of it on your machine.

Spending. One fig for the month, and all category against its plan. Sample data.

The prosperity maths was checked against six months of a genuine ledger, duration by month, and matched to the cent.

Local manner is global.

Pick your nation formerly and the ledger is kept in your currency, any of the world’s. Every fig is written the way you compose it, 1.234,56 € in Berlin and ¥1,311 in Tokyo, and a financial institution document from anyplace imports: day-first dates, decimal commas, a header in your own tongue picked by hand. Nothing is converted, ever. The app answers in English.

Same app. Any price.
You pick.

We are a small squad of ML practitioners and merchandise people. Once Pulse Local is on your device it expenses us nothing to run, so you can assistance us keep doing this, or use it for free. Every feature, either way.

Use it free

Every feature, no account, no nagging.

Help us build

$20

A thank-you that pays for the next release.

Keep it going

$40

For the group who desire this to be for years.

Your call

Any

Type the figure yourself. One dollar counts.

Every clasp ends at the identical download; the paid ones arrive direct rear current alongside it ready. One payment, not a subscription, and nothing in the app checks which one you chose. Bank sync is the one item alongside a operating disbursal on our side, so it is the one item alongside a cost of its own: the Sync Pass, $29 a year.

Beta for Mac alongside Apple Silicon, signed and notarised by Apple, so it opens akin any another app and keeps itself up to date. On Windows? Tell us and we volition compose whenever it is ready.

Once it is on your machine

What you provision up.

No financial institution connection

Bank sync is a pass

You import a CSV, from any financial institution in any currency. A live nourish method a server holding your credential.

Through Plaid, US banks lone for now: three institutions on the annual Sync Pass and additional at $8 each. Transactions continue through our server without being stored; it keeps the association token and the connection’s status.

One machine. Your ledger exists nowhere else.

Sync brings transactions in. It never copies your ledger out.

Mac first, in English

Windows is next. The app answers in English. Older Intel Macs are not supported.

Small models, careful answers

On open questions they are worse than a frontier model, so code does most of the work. With the inspect on, a prosperity answer takes 12 to 14 seconds, and whenever its two readings differ Pulse says it is not sure.

Art of Play co-owner says Kelly Clarkson's post was 'like she threw a Molotov cocktail at us'

support@mycoding.id (Ben Shimkus) — Tue, 13 Oct 2026 23:36:26 +0700

Kelly Clarkson's grievance went viral. The store's owner told Business Insider that group in his existence are hearing from her fans. Weiss Eubanks/NBCUniversal via Getty Images - Ben Shimkus/Business Insider

Adam Rubin stated he wasn't expected to arrive into activity on Tuesday.

The co-owner of Art of Play — a small Brooklyn-based shop alongside tarot cards, funky residence decor, magic trick books, and a wooden animal named Molly — stated he was expected to get several stitches removed. Instead, he came in to answer questions concerning Kelly Clarkson's viral social-media complaint.

"It's akin she threw a Molotov cocktail at us," Adam Rubin told Business Insider. "And we're fair current to choice up the pieces."

On Saturday, Clarkson wrote on X that she had driven to Brooklyn to sojourn Art of Play and was treated as if she could not oversee an item she wanted to buy. She compared the cognition to the "Pretty Woman" scene, whenever Julia Roberts' character is dismissed by salespeople at a luxury store.

Art of Play has an altogether distinct story.

The shop stated Clarkson had asked to buy Molly, a one-of-a-kind animal automaton that was not for sale. Clarkson responded by calling the shop liars. On Tuesday, Rubin told USA Today the animal is now for transaction for $15 million.

Internet sleuths have been attempting to kind out the drama, mostly to no avail. Investigative newsman Pablo Torre is additionally on the case — an update Rubin declined to comment on.

The back-and-forth has pushed an alternatively sleepy obstacle of Brooklyn into a amazingly ample online drama. Art of Play sits neighboring to a hospital and throughout from the Brooklyn-Queens Expressway, in what Rubin called a "Robert Moses-abandoned" extend of old buildings that had fallen into decay before businesses akin his arrived.

On Tuesday, furious Clarkson fans showed up exterior the shop, Rubin said.

"It's lone a matter of period until a individual carrying a Samurai blade and an 'American Idol' T-shirt shows up exterior our store," he said.

Several nearby businesses told Business Insider they didn't see the protests. The neighborhood's older residents were mostly unaware of the extremely online drama, they said.

The another businesses stated the disagreement lone came up in conversations alongside group who worked in the area. They mostly talked concerning the absurdity of their small neck of the woods getting national media attention.

The fight, Rubin said, has gotten ugly online — and he stated Clarkson's global stardom plays a big role. Her X post, as of publication, has additional than 45 myriad views, during Art of Play is a local retailer alongside 172,000 Instagram followers.

"We had no idea what would happen to us," Rubin said. "She did. She's the superstar."

Rubin stated the shop has received threats and a barrage of online hate. He's additionally gotten a ton of in-person love, he said, including from common customers and strangers who came to visit. A female he doesn't acknowledge came by to provision him a hug, he said.

The disagreement is particularly different for Art of Play, Rubin said, since the endeavor is built about in-person interaction. During Business Insider's visit, he noted that shoppers inner were talking fairly than scrolling on their phones.

Rubin stated he would greeted Clarkson back, but he stated she should anticipate the identical care as anyone alternatively who walks in.

"We treated her akin any another customer," Rubin said. "She wasn't blessed since she wanted to be treated akin a star."

Clarkson's representatives did not react to a petition for comment.

Recreational Programming

support@mycoding.id (Adi Gunawan) — Tue, 13 Oct 2026 23:33:33 +0700

You guys are getting paid?

Show of hands:

How many of you learned programming since it was fun?

What is Recreational Programming?

Definition

Programming for the joy of programming itself - not for work, not for money, not for external requirements.

What it looks like:

Building things since you're inquisitive how they work
Exploring new languages fair to see what they awareness like
Solving problems that lone be in your head
Creating tools for problems you don't really have
Writing code that makes you smile

What it's NOT:

Side hustles or possible startups
Skill construction for occupation advancement
Following tutorials step-by-step
Grinding through coding challenges for interviews
Building what others anticipate you to build

The key distinction: Internal motivation vs. external pressure

Why it matters:

Prevents burnout by reconnecting alongside intrinsic motivation
Develops intuition through low-stakes exploration
Maintains long-term enthusiasm for the craft
Often leads to unexpected breakthroughs and learning

The Recreational Programming Spectrum

Style 1: The Live Explorer

Builds in community through streams or blogs
Shows the messy process: deceased ends, bugs, restarts
Community becomes accountability and energy source
Projects range from applicable tools to clean experiments

Style 2: The Deep Diver

Obsesses complete understanding how things really work
Builds toy versions of complex systems
Values learning complete shipping
Often has multiple "educational" implementations

Style 3: The Creative Technologist

Uses code as imaginative medium
Generative art, music synthesis, interactive installations
Technology serves imaginative vision
Often blends programming alongside another disciplines

Style 4: The Problem Solver

Scratches individual itches alongside code
Tools that resolve small annoying problems
"Good enough" solutions that activity for them
Often accidentally builds helpful things

Style 5: The Language Explorer

Constantly trying new languages and paradigms
Implements identical concepts throughout distinct languages
Drawn to different or experimental languages
Code as intelligent curiosity

Common Patterns Across All Styles

Permission to Build "Useless" Things

No endeavor case required
Curiosity is adequate justification
Failed experiments motionless instruct precious lessons

Key insight: ROI doesn't use to recreational programming

Follow Energy, Not Plans

Switch projects whenever excitement fades
Multiple abandoned repos are exploration, not failure
Boredom is data concerning what interests you

Key insight: Boredom is data, not defeat

Document the Journey

Share process, not fair results
Teaching forces deeper understanding
Creates association alongside others on akin paths

Key insight: Narrate your decisions

Embrace the Learning Process

Beginner's intellect in new domains
Comfortable alongside not knowing
Process complete product

Key insight: Progress complete perfection

Your Personal Programming Playground

The Environment

Dedicated "experiments" folder/repo
No manufacturing concerns: minimal setup, no CI/CD pressure
Quick project initialization scripts
Version authority optional

Approaches You Can Try

Weekly Experiments (2-4 hours exploring one new thing)
Scratch-Built Challenges (Build toy versions of tools you use)
Itch-Scratching Projects (Solve your own annoying problems)
Teaching Projects (Build item during explaining it)
Cross-Language Challenges (Same problem, distinct languages)

The Mindset Shifts

"What if..." alternatively of "I should..."
Progress complete perfection
Learning complete shipping
Curiosity complete productivity

Real Examples in the Wild

Zikani Nyirenda - The Practical Experimenter

Creates random but helpful tools: browser automation, document organizers, Git utilities
Experiments throughout Go, Rust, Python, Vue, and React
"What small issue can I resolve today?" method to coding
Perfect example of scratching individual itches through code

github.com/zikani03

Jeremiah Chienda - The Full-Stack Experimenter

Explores distinct architectural patterns and frameworks
Builds tools that resolve genuine problems during learning new technologies
Shows how recreational programming can extend the complete tech stack

github.com/liwoo

Tsoding Daily - The Live Explorer

Streams 4+ hours regular construction random projects from scratch
Built his own content editors, programming languages, ray tracers
Shows complete procedure including failures and debugging
"Let's see what happens if..." method to everything

ThePrimeagen - The High-Energy Problem Solver

Creates CLI tools and Neovim plugins for individual workflow optimization
Infectious enthusiasm for dev tools and performance
Reacts to and critiques another developers' code/approaches
Makes optimization and tooling awareness akin extreme sports

Casey Muratori - The Systems Deep Diver

Handmade Hero: Building a complete equivalent from scratch on stream
Explains all sole row of code and scheme scheme decision
No libraries, understanding everything from archetypal principles
Demonstrates that you can build contemporary application without frameworks

Ben Eater - The Educational Builder

Builds computers on breadboards, explains all component
Creates video sequence on how CPUs, memory, and networks really work
Takes months to build what you could buy for $5
Makes hardware fundamentals accessible and fascinating

Dan Luu - The Deep Technical Investigator

Writes detailed blog posts examining achievement mysteries
Benchmarks everything: keyboards, terminals, programming languages
Turns curiosity concerning "why is X slow?" into multi-thousand term research
Demonstrates how recreational inquiry can reveal industry-wide issues

Each represents a distinct way rear to programming joy

Closing Challenge

Pick one experiment:

Build the worst imaginable type of a tool you use daily
Spend 2 hours alongside a tongue you've been inquisitive about
Document yourself solving a small problem
Fork an engaging project and disorder alongside it
Try live coding or streaming your process

The lone rule: Stop if it stops being fun.

Final Thought

"The goal isn't to rotate into any of these programmers. It's to recall why you started coding and keep that curiosity living alongside your career."

Apple’s HomeView ad is confusing to everyone except parents

support@mycoding.id (Allison Johnson) — Tue, 13 Oct 2026 23:10:00 +0700

Apple’s ad introducing its new HomeView astute display is a small unusual. It’s fast-paced and unruly, depicting a family of five as they hurry through the dawn routine. There’s yelling and mess, misplaced keys and abandoned eggshells. Apple’s representative vibe is clean, simple, orderly; this business is chaos.

But the place has parents — those alongside adolescent children in particular — emotion seen.

I’ll acknowledge that it stressed me out the archetypal period I watched it, too. Mornings getting my five-year-old out the entrance are a particular breed of chaos, and normally culminate in us playing any ad-libbed equivalent volition get him to put his shoes on. But it’s not quite as serious as this one, which features dad making french toast, mom losing and finding keys in her pocket, a proxy battle complete the thermostat, a teenage boy assisting himself to whipped lotion from a can, and an unexpected video call. There’s additionally a microdrama concerning the daughter’s journey to academy alongside a partner nobody knew concerning that ends alongside everyone gathered about the HomeView observing the safety camera nourish of the two of them departing the porch. It’s a lot for fair complete three minutes of display time.

If I cognize item though, I cognize to rely my colleague, elder reviewer and genitor to two teens, Jen Tuohy on matters of the home. Her take? “The most unrealistic part of the video is that no one is holding an iPhone.”

Other parents of teens shared akin reactions on Threads. When tech expert Benedict Evans posted concerning the ad emotion stressful and confusing, CNET publishing company at ample Bridget Carey chimed in to defend it, saying “It was exactly what my dawn is akin and it was the most genuine ad I’ve always seen from Apple.” Others agreed, calling it “accurately captured” and that it “hit home,” no pun intended, at smallest I think.

Even if Apple didn’t need to do much to enhance the stakes of a family getting out the door, there is of way plentifulness of sleight-of-hand at activity whenever it comes to making the HomeView appear so essential. The family has apparently drilled a gap immediately into the center of their galley isle to modify the charging cable, for one. And what brother or sister is going to inspect a content communication from a concealed partner on the common galley display alongside their brother sitting at arm’s length? I don’t accept any adolescent trusts Apple’s privacy features that far.

The disturbance concerning the business is understandable. This is a far cry from the quiescent luxury manner everyone seems to bask in Apple’s Vision Pro ads. There’s additionally Evans’ study that the HomeView doesn’t really resolve any of the problems that arrive up throughout the coarse of the video. In the case of a spontaneous FaceTime call from the grandparents, the display in the center of the galley seems to create things worse.

But perchance dawn anarchy isn’t the issue that’s being solved. If the substitute is five group all interacting alongside their own phones, afterward the HomeView presents a distinct image anywhere everyone gets the essential data they need from one shared display and stays additional present.

A display that makes you be additional current is a beautiful idea, but the genuine test volition arrive whenever it’s in in genuine households. Is the HomeView going to be adequate to convince families to put their individual devices down? Will everyone fair disregard it and keep scrolling on their own iPhones? These are questions value answering before you commencement drilling holes in your galley island! In any case, an ungovernable dawn regular is likely a characteristic of a occupied household, not a bug. Just ask a parent.

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Allison Johnson

AlphaNIST

support@mycoding.id (Putri Silvia) — Tue, 13 Oct 2026 22:57:29 +0700

The gathering challenge

NIST Assembly Task Board #1, shown completely assembled.

The NIST board has twenty gathering tasks, alongside parts as small as 4 mm. Fitting one part can obtain multiple changes of grasp and orientation. Tight clearances depart small area for error: a tilted nut can jam or cross-thread.

With multiple parts, the robot additionally has to choose an order. An installed component may obstacle the gripper’s next move.

Robots can be creative—if we provision them room.

Trying to prescribe all maneuver method anticipating how the robot should react as contacts and obstructions change. A two-finger gripper may additionally need solutions fairly distinct from those that arrive naturally to a individual hand.

Perhaps the answer is to halt telling the robot how we think the project have to be done, and let it study how to get there. We provision it a binary project reward for achievement and train it through huge amounts of varied experience. That leaves area for the robot to detect solutions we power never have idea to teach.

Experience diversity:
heterogeneous resources and first states

One guideline trains throughout twenty heterogeneous assemblies, starting from free parts, in-hand grasps, and partial assemblies cached in simulation.

Near-complete starts let the robot custom finishing an gathering before it can resolve the entire task. The cache supplies starting states, not demonstrations.

Examples of varied training starting states

Success-guided sampling

Beta sampling favors starting states the guideline solves concerning fractional the time, during giving all province a chance. Progress on one province can create another solvable; its sampling importance afterward changes alongside new outcomes.

Starting states obtain distinct amounts of custom as the guideline learns. SGS project ↗

Single-component gathering experiment

One guideline performs all twenty gathering tasks, alongside one component to collect in all run.

Emergent gathering behavior

Citation

@misc{zhang2026alphanistemergentassemblyskills, title={AlphaNIST: Emergent Assembly Skills from Binary Task Rewards}, author={Octi Zhang and Iretiayo Akinola and Rosario Scalise and Mateo Guaman Castro and Patrick Yin and Tobias Widmer and Miles Macklin and Chris Amevor and Dylan Turpin and Dirk Van Gelder and Jan Carius and Ankur Handa and Gavriel State and Yunrong Guo and Yashraj Narang}, year={2026}, eprint={2610.13354}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2610.13354}, }

Physical Intelligence API Beta: Frontier Models for Every Robot

support@mycoding.id (Putri Silvia) — Tue, 13 Oct 2026 22:55:25 +0700

Published

October 13, 2026

We are making our latest models accessible for training and conclusion through the Pi API beta.

Deploying robots is challenging. Besides identifying the correct use case and construction the correct hardware, developers need models intelligent adequate to execute the project at hand. General-purpose robotic basis models specified as π₀ and π_0.5 recommendation a promising way to tackle this challenge. They provision a powerful basis of bodily cognition and capabilities, substantially reducing the data and attempt needed to modify to new tasks, environments, or robots. But adapting them motionless requires ML infrastructure, compute, and complex data pipelines, which are difficult in their own right. What if the latest and most mighty robotic basis models could be adapted to all use through a uncomplicated and ready-made API?

The Pi API does that for you. You upload data, initiate fine-tuning on compute and infrastructure we manage, and admission fine-tuned models via a hosted gateway to run inference. The latest example accessible through the API already provides additional data-efficient fine-tuning and improved capability for our partners. Since Pi can update the models underpinning the API rapidly, we scheme to continue enabling admission to our latest and most capable models. Launching the beta is our archetypal stage in providing the bodily intellect basis the community can build upon and enabling end-to-end autonomy.

To justify that the API supports varied applications, we sought to answer two key questions. First, do our models assistance a broad range of applications and robotic hardware in varied industries? Second, how effortlessly does the API allow developers to iterate toward useful, applicable autonomy?

Supporting a broad range of applications in varied industries

To detect how broadly our models can adapt, we activity closely alongside companies deploying robots to build autonomy systems for their applications. These collaborations let us validate how fine our models execute throughout distinct tasks, hardware, and functioning environments.

Actor

Actor deploys autonomous dense machinery. Their autonomous rotor loader scoops matter and loads it into a dump truck during a genuine business deployment without any controller inner the machine.

Enabling autonomous repeat towards applicable autonomy

Across these first collaborations, a average form emerged. The challenges differ from project to task: an inside-out garment, an component that wouldn’t remain in a scoop, a manufacturing part that landed in the incorrect position. But the procedure for improving achievement was much the same: collect demonstrations, train a model, test it on the robot, and use the failures to decide what data to collect next. We built the API to let developers run this repeat iteration themselves, using our latest models.

API workflow: Upload your data, fine-tune a π model, and run it on your robot through hosted inference. Use evaluation data to guide the next iteration.

We gave a small figure of companies first admission to the API to test whether they could enhance autonomy on their own. We were impressed by how quickly they got started and began making progress. Their experiences recommendation a glance of what you could do alongside your own robots and data.

Almond

Almond builds Axol, a dual-arm robot for bodily AI builders. Their goal is for Axol to build itself. Here, Axol deburrs spacers used in its own assembly, operating a example the squad obtained following iterating alongside the Pi API for four days.

Most applications shown above, from Japan to Switzerland to deployments throughout the United States, ran alongside cloud-hosted conclusion through the API. These first deployments spanned a range of environments and tasks and highlighted areas for improvement, including network connectivity challenges for some.

Improving from feedback

The additional our models are used, the additional we study how to enhance them: by understanding the possible and restrictions of our current models in real-world applications, we can create the next generation of models additional broadly applicable, and create tangible advancement toward really broad bodily intelligence. But the range of real-world tasks is enormous, and understanding the broad range of tasks that robots could do requires making our models accessible for these tasks. Real-world robotic applications are not easy: tackling robotic construction, robotic surgery, or storage automation all requires an complete company. If all specified use requires solving the bodily intellect issue from scratch, the challenges rotate into insurmountable. By making our models accessible through the API, we accelerate the growth of the robotics ecosystem and, in the process, advancement our own understanding of bodily intelligence.

The examples complete display that the models we create can be used for real, helpful applications, and that our partners are capable to use the API to independently iterate on policies and enhance autonomy on their tasks. We’re motionless early, and feedback from developers volition assistance form forthcoming releases.

If you would akin to act in the beta, delight tell us what you desire to build.

If you would akin to assistance create the models and tools rearward this work, we’re hiring throughout research, infrastructure, hardware, people, and operations.

Character.AI owes Google and Big Law firms nearly $7M, court filings show

support@mycoding.id (Natalie Musumeci) — Tue, 13 Oct 2026 22:49:09 +0700

Character.AI submitted for Chapter 11 bankruptcy protection. Illustration by Algi Febri Sugita/SOPA Images/LightRocket via Getty Images

Court filings display that synthetic intellect startup Character.AI owes nearly $7 myriad in blended amounts to Google and a collection of Big Law firms, shedding several ray on the financial strain rearward the chatbot's bankruptcy.

Character.AI, which lets users create personalized AI bots, submitted for Chapter 11 bankruptcy safety in Delaware on Monday and plans to complete a court-supervised transaction of the business by the end of the year.

The AI platform's bankruptcy petition shows that it owes its 20 largest unsecured creditors additional than $10.6 million, including complete $4 myriad to Google and $2.6 myriad to a collection of five notable law firms.

Hogan Lovells was due the largest amount among the law firms, at concerning $2.1 million. White & Case was listed as being due concerning $189,000, during the firms Munger, Tolles & Olson; Skadden, Arps, Slate, Meagher & Flom; and Quinn Emanuel Urquhart & Sullivan were due approximately $137,000, $126,000, and $64,000, respectively.

Representatives for Google and the law firms did not immediately react to requests for comment.

The court filing does not item the nature of the debts. However, Character.AI, founded by erstwhile Google researchers, named Google Cloud its preferred haze infrastructure in 2023. The startup has additionally faced a motion of lawsuits alleging its chatbots harmed or encouraged harmful behavior among young users. Character.AI accepted to resolve multiple lawsuits before this year.

The AI company's bankruptcy filings propose that those lawful troubles were part of a broader financial squeeze.

Character.AI's bankruptcy petition estimated resources value $50 myriad to $100 myriad and estimated liabilities in the identical range.

"The burgeoning and evolving site of AI entertainment, however, has proven to be costly to create and grow," a filing in the case reads. "These elevated costs, coupled alongside possible litigation connected liabilities and regulatory involvement have contributed to the Debtor's inability to create adequate prosperity flows to assistance its endeavor in the current form."

A Character.AI spokesman told Business Insider that complete the former year, the startup has "taken meaningful steps to prolong and enhance our endeavor amid important legal, regulatory, and operational headwinds."

Google Adds Experimental Soft Navigation Metrics To CrUX

support@mycoding.id (Matt G. Southern) — Tue, 13 Oct 2026 22:31:39 +0700

Chrome has announced experimental versions of all three Core Web Vitals in the Chrome User Experience Report (CrUX). These metrics figure gentle navigations, which mention to the in-app leaf changes a single-page use (SPA) makes without a complete reload. They’re accessible in BigQuery, the CrUX API, and the History API as of the publish published October 13, and CrUX Vis now includes a toggle to display them.

About 70% of origins in CrUX have small or no gentle navigation traffic, so most sites likely won’t notice much of a difference. Sites that depend heavily on gentle navigations are most apt to see a change, and their experimental scores lean to be higher.

Google’s stable scores are unchanged at this time. Chrome aims to decide the metrics’ experimental position in May 2027, topic to the feedback it receives. Chrome says Search Console volition clasp the new data formerly that happens.

What’s In The Release

There have been three new sectors added to CrUX, experimental_largest_contentful_paint_with_softnavs alongside alongside one all for INP and CLS. They track the exact identical measurements as the stable versions of those fields; however, they figure the two difficult loads and detected gentle navigation events.

Prior to the inclusion of gentle navigation tracking, CrUX lone measured an SPA’s archetypal load. Subsequent in-app changes were grouped together alongside that archetypal load, all interactions and layout shifts attributed rear to the landing URL. With the capability to detect and document gentle navigation events, all period a user’s actions logic a alter in the two satisfied and URL it is tracked individually, and the connected metrics are provided under the destination URL topic to the normal eligibility criteria.

This data has arrive from the Soft Navigations API which has been turned on by default since the publish of Chrome Version 151 on July 28. When a person takes an act that results in the two a apparent alter to the URL and a apparent paint, afterward Chrome considers this a “soft navigation”. I wrote about the base test in August 2025 previous to the notice that CrUX would be integrating this.

Which Sites See A Change

Google’s article sorts CrUX origins by the portion of their leaf views that are gentle navigations. Between 66% and 75% of origins have small than 5%, depending on platform. Only 7.0% on Android and 10.6% on desktop have additional than half.

Among the top 1,000 sites, 35% on Android and 42% on desktop depend on gentle navigations for additional than fractional of their leaf views.

Annie Sullivan, who wrote the post, puts it this way:

“If your location doesn’t use JavaScript to dynamically toggle out leaf satisfied and update the URL without a complete browser reload, you shouldn’t anticipate to see any changes in your metrics.”

How The Scores Move

For sites anywhere additional than fractional of leaf views are gentle navigations, all three metrics improve. Among Android origins alongside 75% to 100% gentle navigations, the portion alongside fine LCP is 26% on the stable metric and 87% on the experimental one. Sullivan writes:

“This isn’t since SPAs are faster than multi-page websites (MPAs) overall, but since follow-up clicks are faster on any site, bringing SPAs alongside many follow-up visits in row alongside MPAs alongside many follow-up visits.”

INP improves by measuring responsiveness per leaf perspective alternatively of using the slowest communication throughout a session. The article says this approximately doubles Android continue rates for sites relying chiefly on gentle navigations. SPA-heavy sites motionless lag rearward multi-page sites on INP, so dense JavaScript during leaf changes can power it.

The changes made to CLS have improved things as well, since all of the layout change events are now grouped by perspective alternatively of session. The author states that this puts SPA-heavy desktop sites on par alongside multi-page sites; Android is motionless slightly behind.

The release notes for the September dataset province that 55.9 percent of all origins worked fine on the Core Web Vitals test whenever gentle navigations were not counted. When they were, that figure was 59.5 percent.

Why This Matters

Chrome’s new metrics display how an SPA performs by measuring all gentle navigation separately, fairly than charging the landing leaf for everything that happens afterward.

On an SPA-heavy site, you can rotate on the new “Include gentle navigations” toggle in CrUX Vis to difference the two versions of all metric flank by side. This makes it easier to see whether your location meets Google’s thresholds on the experimental numbers and which metrics alter the most. Just keep in intellect that these numbers may motionless alter before Search Console picks them up. On a location that reloads alongside all click, turning on the toggle shouldn’t create any difference.

Looking Ahead

Every metric is motionless experimental, and Chrome welcomes your feedback through the web-vitals feedback collection and the gentle navigations spec repository on GitHub. It advises readers to “expect several shifts from duration to duration as the measure improves,” so it’s finest to construe the new numbers carefully until they stabilize.

The November CrUX publish volition be the next checkpoint, alongside soft-navigation versions of FCP and navigation types expected. In the Web Vitals lifecycle, metrics move from experimental to pending for at smallest six months before becoming stable. Google says it volition toggle Search Console formerly the metrics depart the experimental stage, although the article doesn’t say which phase comes next. Check the publish notes for updates to the May 2027 mark or changes in how advancement is described.

Featured Image: Tetiana Yurchenko/Shutterstock

Category News Tools

My friends suggested a GLP-1 for my weight gain. I found my answer on the dance floor.

support@mycoding.id (Leslie Vooris) — Tue, 13 Oct 2026 22:05:01 +0700

The author (not pictured) stated dancing has reinvigorated her fitness routine. FG Trade Latin/Getty Images

I'm petite, have a small frame, and have never had to battle alongside weight issues.

I regularly went to the gym six days a week, and have done so for years taking a blend of power training and footwear camp-style classes in supplement to walking. Despite my efforts, I started adding on weight — fair complete 10 pounds in concerning 24 months.

I didn't cognize why or what to do concerning about the importance gain. I was operating out nearly all day, but I felt exhausted and defeated. Others suggested I rotate to medication. "Don't stress, fair get on a GLP-1, and if your doctor won't provision it to you, fair catch it online," one companion told me.

My BMI wasn't elevated adequate for my doctor to prescribe medication, and I didn't desire to override my provider's advice. But notwithstanding all of my effort, I wasn't seeing the results I wanted.

The author stated she started getting uninterested and the gym and washing pushing herself. She returned to dance, which she loved as a child, and transformed her intellect and body. Courtesy of Leslie Vooris.

I was uninterested at the gym

Then, during a gym class, I realized I had rotate into lazy. I was picking up the easiest weights and would go through the motions, never pushing myself too difficult during workouts. The repetitive movements were fair so boring.

After that class, I tried to think of an action that power bring me additional joy. Wasn't there item alternatively that could be additional fun? That's whenever I decided to obtain additional dance classes, alternatively of fair the one I was already taking on Saturdays.

I was hesitant to dancing akin I used to years ago

I was a danced into elevated school, but I had to depart the program since of difficulties at home.

The author, second from left, stated she enjoys the awareness of community that comes from dancing. Courtesy of Leslie Vooris.

I continually felt sadness and frustration concerning quitting. I had continued dancing on and off as an adult, but I had never really returned to it in a meaningful way. I idea concerning how much I loved to dancing as a small girl, grinning ear to ear equal whenever I forgot all the steps. Research has shown that the amazing benefits of dancing broaden beyond physical fitness.

Now I obtain four to five dancing classes a week, a blend of modern, and West African.

It's fun and doesn't awareness akin the identical drag that the gym was to me. And I eventually misplaced those stubborn pounds I had gained. When I obtain classes all week, I mix up levels to keep challenging myself and track my progress. Dance has additionally stated me a community anywhere we clasp one another accountable and empower one another as we cheer one another on.

Dance was the true exercise I really needed

Returning to dancing has helped me shed those few additional pounds, but it has additionally helped me nexus to a part of me that is additional accepting of myself and others. I'm happier and healthier than I've been in years, and no longer affiliate item I affection alongside failure.

I've learned that the exercise that keeps me coming rear is the one I enjoy, and it's never too delayed to try again.

This part is not a substitute for expert medicinal advice, diagnosis, or treatment. Always consult your qualified doctor or healthcare provider.

Trump’s new press secretary was asked where she passed the bar. Her answer raised more questions.

support@mycoding.id (Natalie Musumeci) — Tue, 13 Oct 2026 22:01:46 +0700

White House media administrator Katie Zacharia held her archetypal media briefing Tuesday. Win McNamee/Getty Images

Newly minted White House media administrator Katie Zacharia has often described herself as an attorney.

The traditional commentator is now facing scrutiny concerning her lawful qualifications following she was pressed to explain them following her archetypal White House briefing alongside the media.

As President Donald Trump said to reporters following the briefing on Tuesday, one asked him anywhere Zacharia had passed the bar exam.

"What province did she continue the bar exam in? You stated she is an attorney. Where did she continue the bar exam? Which state?" the newsman asked.

Trump afterward turned to Zacharia, position rearward him, and asked, "Which state?"

"When I moved to China," Zacharia answered.

Her reply added to the disturbance complete anywhere she may be licensed to custom law in the United States. State bar exams are mostly administered in individual inside the jurisdiction.

In a statement, Zacharia stated she "practiced global transaction law, alongside all the suitable credentials." She did not say if she'd passed the bar in any state.

"Katie is a fabulous and fantastic supplement to the team," Steven Cheung, White House communications director, said. "She is uniquely qualified and whip astute to assistance communicate the American group concerning all the awesome things President Trump and his Administration have been doing, and she volition do an amazing job as Press Secretary."

Zacharia does not appear to be listed in the State Bar of California's attorney database, notwithstanding living and operating in the state. She additionally does not appear to be listed in the D.C. Bar's associate directory.

The Substack publication, Popular Information, reported before on Tuesday that it searched records in all 50 states and Washington, DC, and turned up no evidence that Zacharia is licensed to custom law.

President Trump on White House Press Secretary Katie Zacharia: "I idea she was extremely good." Q: "You stated she's an attorney. Where did she continue the bar exam? Which state?" Zacharia: "When I moved to China." Q: "Where did you continue the bar exam?" https://t.co/5xiwyEsVSs
— CSPAN (@cspan) October 13, 2026

Zacharia graduated from California's Pepperdine University in 2007 alongside a bachelor's flat in governmental discipline and government. She afterward received a law flat from the university's Caruso School of Law in 2011, according to the college.

A White House authoritative stated following she graduated, Zacharia moved to China alongside her hubby for his job at an American personal equity firm. She worked in global transaction law in China, according to the official.

Her LinkedIn leaf says she served as broad advise for the California-based nonprofit Fix California from January 2024 to March 2025. More than a decade earlier, according to her LinkedIn, Zacharia worked as an affiliate at the Beijing-headquartered Zhong Lun Law Firm.

Trump announced Zacharia's project to the White House in a Truth Social article final week, saying she has an "unblemished document of support, and has been a loyal and brilliant supporter, correct from the beginning." He additionally referred to her as an attorney in the post.

In her own article that followed, Zacharia called serving Trump and the American group the "honor of a lifetime."

"I desire to appreciate President Trump for his rely that he has placed in me. I have wanted to activity for him for a extremely lengthy time," Zacharia stated during Tuesday's White House media briefing.

PostEra (YC W20) Is Hiring AI Researchers for Drug Discovery

support@mycoding.id (Riki Setiawan) — Tue, 13 Oct 2026 22:01:12 +0700

PostEra is construction an AI-first biotech. We use Proton, our AI phase for medicinal chemistry, to accelerate the finding of new medicines for patients. PostEra is advancing an inner pipeline focused on Women's Health and Fertility, and has used Proton to nominate multiple medicinal candidates throughout PMOS and Fertility. PostEra additionally advances small molecule programs through partnerships alongside pharma. We've closed complete $1B in AI partnerships including 4 multi-year agreements alongside Pfizer and Amgen. PostEra is additionally foremost an antiviral medication finding center for pandemic preparedness, funded by among the largest grants in NIH history.

PostEra's Organizational Structure

We accept period spent navigating complex hierarchies in organizations is improved invested in the chase of novel innovation and specialized discoveries. As such, our organizational construction is intentionally minimalist.
We advance a civilization anywhere idiosyncratic accomplishment is celebrated through proportional compensation and inner recognition, including meaningful promotions.
Ultimately, our company concentration is delivering cures to patients, which we accept needs a huge amount of cross-disciplinary collaboration, so we've fitted our organizational construction to assist that end.

Role Overview

In this role, you volition create the agentic investigation vertical at PostEra, using agentic systems to automate the betterment of mechanistic models for biochemical and physiological processes, and analyze biologic data for mark validation. You volition engage closely alongside chemists and biologists to use these models to run medication finding decisions.

You volition additionally create device learning methods that can quickly modify to new medication finding problems from constricted tagged data. A particular concentration is molecular and tabular in-context learning and construction basis models from PostEra’s proprietary multimodal data. You volition build models that use the environment of medication finding effectively, decide which previous examples and tasks are relevant, quantify whenever transfer is helpful or harmful, and provision dependable predictions under allocation shift.

You volition assistance run the complete investigation loop: defining tasks, constructing datasets and evaluation episodes, evolving powerful baselines, training and scaling models, performing rigorous ablations, and translating prosperous methods into capabilities used by PostEra’s scientists. Prior medication finding cognition is not required, but you have to be motivated to study the domain and activity closely alongside medicinal chemists, computational chemists, and another scientists.

Key Responsibilities

Agentic Research for Chemistry and Biology: Develop and benchmark agentic systems to automate the betterment of quantitative models to simulate biologic and physiological processes, and the inspection of biologic data.
Research Direction and Execution: Independently identify, formulate, and guide investigation projects involving in-context learning, agentic systems, few-shot adaptation, tabular basis models, and molecular device learning.
In-Context Learning for Molecules: Design and train models that modify to new assays, endpoints, targets, or chemic sequence using constricted tagged environment and heterogeneous historic data.
Benchmarking: Rigorously difference new approaches against powerful baselines, curating test cases that deconfounds effect of distinct sources of bias.
Cross-Functional Collaboration: Work alongside scientists to nexus modeling objectives and evaluation metrics to applicable decisions in potency modeling, ADME prediction, selectivity, guide optimization, and the scheme of first medicinal studies.
Model Training and Scaling: Develop productive training and data pipelines and, anywhere appropriate, measure models throughout ample collections of molecular and tabular tasks.
Research Engineering: Produce readable, reproducible investigation code; keep well-tracked experiments; and contribute through code review, documentation, and shared modeling infrastructure.
Scientific Dissemination: Publish results in foremost device learning, medicinal chemistry, or computational existence discipline venues. You volition be an ambassador of PostEra to the specialized community.

Key Requirements

PhD flat in device learning, or STEM investigation involving the betterment of novel device learning approaches
Track document of high-quality research, specified as publications and open-source contributions
Strong investigation or engineering cognition in contemporary device learning, profound learning, or statistical modeling, backed by understanding of the theory rearward device learning algorithms
Demonstrated ability in at smallest one applicable area: agentic workflows for science, device learning approaches to bioinformatics and medicinal data modelling, in-context learning, tabular learning, few-shot learning
Hands-on cognition training, debugging, and evaluating ML models in Python using frameworks specified as PyTorch or JAX
Ability to independently translate ambiguous specialized or specialized problems into well-defined ML projects, including datasets, project definitions, baselines, metrics, and validation schemes
Ability to scheme careful experiments, benchmarks, and ablations that differentiate improvements from biases, and comprehend which aspects of the example led to the improvements
Comfort operating in a startup surroundings anywhere priorities evolve, data is imperfect, and high-quality judgement matters as much as raw example complexity

Nice to Haves

Candidates are additional apt to win in this function if they additionally have cognition alongside one or additional of the following:

Training tabular basis models, particularly for sparse, heterogeneous, small-data, or high-missingness settings
Developing molecular in-context learning systems or adapting general-purpose in-context models to molecular or specialized data
Large example training, including 1B+ indicator models, distributed training, sharding, data parallelism, example parallelism, and large-scale data pipelines
The betterment of AI “co-scientist” systems for bodily or biologic problems
Hands-on cognition in modelling biological, biochemical or medicinal data using device learning approaches
Moving investigation models into manufacturing specialized application or computational workflows

Salary: 200k - 300k

Equity: 0.05 - 0.1%

Visa Sponsorship: Not at this time

We use recruiting application to assistance the hiring process, specified as collecting, organizing, and managing applications. Applications are reviewed by our recruiting team, and we do not use synthetic intellect or automated decision-making tools to measure candidates or create hiring decisions. Human judgement is used throughout the hiring process, and all final decisions are made by our hiring team. If you would akin additional data concerning how your individual data is processed, or concerning your entitlements under applicable data safety laws, delight communication us.

I know my mom is getting older. Seeing it is different from knowing it.

support@mycoding.id (Ashley Franzen) — Tue, 13 Oct 2026 21:49:01 +0700

The author has lived abroad fractional her life. Courtesy of the author

Time is a comic thing, mostly since it's a construct, but it has a way of forcing group to see things differently, equal whenever they power not desire to.

I hadn't spent lengthy stretches of period alongside my mom until her latest visit. After she left, I began to indicate on how the years — and extend — have changed us both. The image I have of her has stayed mostly the identical complete the years, but this sojourn shifted something: I'm now more conscious of her aging, and of my own.

I'm seeing her for who she is

It's difficult to see your parents one way as a kid and afterward realize, as an adult, that that belief of them was based solely on a child's perspective and lone knowing them relationally as a parent, not completely knowing them as an grownup from an adult's perspective.

The association I had alongside her as a kid and adolescent may be lengthy gone, and the association I have alongside her now has evolved beyond item my youthful viewpoint could have imagined. During this most latest visit, I awareness akin I'm eventually seeing the truest type of her from a healed, grownup perspective. She's human. I'm human. We all fair have to fig out how we connect to one another and affect in one another's lives.

I'm in my hinge generation years

The phase of existence anywhere I am correct now as a millennial has sometimes been referred to as the sandwich generation, but I lately peruse item concerning it additionally being called the hinge generation. I'm approaching this item called "middle age," and I'm reluctant to acknowledge as such. I'm old adequate to have aging parents and be a genitor myself, but motionless young adequate that center age merely appears akin a historic period period.

Watching my mother's age rotate into additional apparent — the two as her kid and as a genitor myself — has me contemplating the actuality of position in the center as part of the hinge generation. Seeing her alternatively has additionally made me deeply conscious that my own female is old adequate to comprehend me alternatively from how she saw me as a toddler and young child. I'm small infallible and additional effortlessly capable to be critiqued, as my individual nature is additional apparent to her evolving mind.

What does this average for my own daughter, who's observing me age? How does she awareness concerning our relationship, equal in her archetypal decade of life? She may be young, but I vividly recall being that age and equal recall what I idea concerning my mom. While I don't cognize exactly how my female sees me, I have to recall that she is her own person, alongside her own views and perspectives shaped by everything in her life. While my association alongside my mother may never alter from what it is now, the memories I have of it from younker have at smallest influenced me as a mom. I desire to keep the lines of communication open alongside my female and display up — for the two her and my son — alongside affectional preparedness and empathy."

I see myself in my mom and additionally my daughter

Wherever we are in the "line" of time, we can recall all the places we've already been, ages, and experiences survived. We can appearance at all the group about us and see them as children who have grown up alongside varied experiences that have brought them to their current province and status.

The author sees herself the two in her mom and in her daughter. Courtesy of the author

Human beings volition never be perfect. Neither volition any category of association — familial, romantic, friendship, or otherwise. Time changes people, and period changes perspectives. Where we discover ourselves in our thoughts and between relationships is lone a transitive place, one that is everlastingly changing as we change throughout area and period into the future. Who we volition be is shaped by our self-talk and how we see ourselves, and additional cast by period and existence experiences. How we treat ourselves and others actively plays a function in how relationships create and end — or how they create and thrive.

Looking 30 years into my future, I see the two my mom and myself; looking 30 years back, I see myself and my daughter. We're a connected row of women and lives that have interrelated and interdependent on one another. And all new instant of all new day volition form the mutual direction, depth, and desire to continue onwards. As I akin to inform my children: They are the final arbiters in their lives, and they can build their actuality — and relationships — through their thoughts, behaviors, and actions. What we all build is up to us.

This Ultra-Slim Robot Vacuum and Mop Is $700 Off Right Now

support@mycoding.id (Naima Karp) — Tue, 13 Oct 2026 21:45:52 +0700

If you’re looking to outsource as much of your flat cleaning as possible, a blend robot vacuum and mop is your finest bet abbreviated of hiring regular home cleaners. The Roborock Saros 10R Robot Vacuum and Mop is a awesome option, alongside mighty suction, a slim silhouette that gets into tight spaces, and a bevy of automated features that provision a mostly hands-off experience—especially at its current 44% off cost of $899.99 (originally $1,599.99).

Roborock Saros 10R Robot Vacuum and Mop

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$899.99 at Amazon

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Though it comes in at under $1,000, it motionless delivers dependable obstacle avoidance, a super-slim design, and mighty hard-floor vacuuming and mopping, alongside up to 22,000 Pa of suction. According to Mashable, it’s improved at mopping than competitors akin the Saros 10, and comes alongside dual rotating mop pads and an extending arm to enter nooks and crannies, as fine as a divided brushroll to decrease tress or fur tangles. Its slim 3.14-inch overview method it additional effortlessly fits under low-profile furnishings than bulkier robot vacuums, which are typically concerning an inch taller.

While it excels at cleaning difficult floors, it’s additionally additional productive than older Roborock models at managing rugs, thresholds up to 4 centimeters high, and rooms alongside assorted obstacles, including furniture. The low-maintenance dock empties the dustbin, refills the Saros 10R’s h2o tank, and washes and dries the mop pads. While it accomplishes fairly a lot, the self-cleaning position does necessitate dedicated flat space, as the dock is on the larger side.

What do you think so far?

If you desire an mundane cleaner that excels at navigation and hands-off routines, the Roborock Saros 10R Robot Vacuum and Mop is among the most dependable “set it and ignore it” vacuum-and-mop combos available. And at a lower-than-ever $700 off, it offers a awesome value correct now.

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This Former Engineer and Preschool Teacher Teamed Up to Start a Creative Business: ‘Haven’t Regretted Choosing a Franchise.’

support@mycoding.id (Sherin Shibu) — Tue, 13 Oct 2026 21:40:55 +0700

Key Takeaways

Antima Jain and Pooja Choudhary met 11 years ago through a mutual companion at a gathering in Minnesota.
They were the two immigrants from India, had a lot in common and lived three minutes distant from all other.
They ultimately pooled their individual finances to open their own Color Me Mine paint-your-own pottery studio franchise in March 2025.

A few months ago, a client walked into Antima Jain and Pooja Choudhary’s Edina, Minnesota pottery-painting studio, Color Me Mine, alongside a scheme to propose to his girlfriend.

Color Me Mine allows customers to choice a part of pottery akin a mug, dish or bowl, and coat it. The studio afterward glazes and fires it, and the client can choice up in concerning a week.

The client wanted to coat a jewelry tray alongside the question, “Will you wed me?” and use it to propose. Usually it took concerning seven days for Jain and Choudhary to procedure a customer’s pottery following they painted it. This time, they accepted to have his part prepared sooner.

Antima Jain (left) and Pooja Choudhary (right). Credit: Color Me Mine Edina, MN

Jain and Choudhary additionally helped create the ambiance that the client wanted in the studio. Later, the brace brought them a save-the-date cardstock that mentioned the studio. For Jain and Choudhary, it was a reminder of their impact. They were creating a area anywhere customers could nexus and build enduring memories.

A lot in common

That awareness of association is additionally the basis of their partnership. Jain and Choudhary met 11 years ago through a mutual companion at a gathering in Minnesota. Both had moved to the United States from India, were raising children and enjoyed imaginative projects.

“We started talking and realized we have so many things in common, and fair akin all other’s company,” Choudhary tells Entrepreneur in a new interview. “We started gathering up.”

They lived a three-minute run from all other. As their children grew additional independent, the allies began imagining construction a endeavor together. When they started their hunt in 2023, they explored franchises and visited a nearby Color Me Mine studio.

“We fair loved the entire vibe,” Jain says. “It was specified a spotless environment, extremely organized, extremely colorful. It fair felt calming. We the two had the identical impression.”

They ultimately pooled their individual funds and spent concerning $300,000 to open their own Color Me Mine location in March 2025. But before becoming endeavor partners, they made a pact: Friendship would arrive first. Whatever challenges arose, they would keep talking fairly than let the endeavor distinct them.

The following discussion has been edited for dimension and clarity.

Pooja Choudhary (left) and Antima Jain (right). Credit: Color Me Mine Edina, MN

Their immigrant stories

Tell me concerning your backgrounds before you became franchise owners.
Jain: I archetypal came to the United States in 2003 since of my husband’s activity project. We went rear and onward between India and the U.S. a few times, and afterward we came current in 2012 and have been current since.

I have a bachelor’s flat in commerce from India. I taught preschool there, and current I worked at Kumon. I was operating part-time during my kids were expanding up. Now they’re the two in college, so this seemed akin the ideal period to enter item we would bask and have period to allocate in.

Choudhary: My hubby was already current whenever we got married, and I moved to the United States afterward. I completed my master’s in electric engineering. We lived in distinct states before coming to Minnesota about the identical period Antima did.

I have an funding asset endeavor on the side, which I motionless continue. I have two girls: one in elevated academy and one finishing center academy at the period of this interview.

Deciding to franchise

Why choose a franchise fairly than create an autonomous studio?
Choudhary: We didn’t have cognition operating this benevolent of business, and that was the scary part: How were we going to do it?

A franchise felt akin a balance between owning an autonomous endeavor and operating in a company environment. They provision the platform, but we motionless have independence in operating the studio.

Jain: Everything was laid out for us. The direction and assistance have helped a lot. Even following our archetypal year, they were motionless introducing things to create the endeavor easier to operate, including a new point-of-sale scheme throughout Color Me Mine studios. We haven’t regretted choosing a franchise.

How did you discover your location and prosperity the business?
Choudhary: The franchisor gave us a territory, and we hired a genuine asset delegate to assistance discover a space. We looked at many places before choosing our location in Edina. There are parks and buying nearby. The franchise squad helped us shortlist locations and think concerning what to appearance for, including visibility.

Jain: The startup disbursal was approximately in the low-$300,000 range. We the two invested from our individual accounts fairly than taking out a loan. Being partners made it easier to divided that investment.

Acquiring customers

How have you worked to bring in customers and grow?
Jain: We joined the local area of commerce, which helped dispersed the word. We participated in an art celebration near our location and held Mother’s Day and Father’s Day events. We run recurring promotions and contain discount cards alongside completed pieces to advance group to come back inside a month. We additionally advertise through a phase the franchise recommended.

Choudhary: We’ve donated to local organizations and participated in academy fundraising, too. That has helped.

The realities of ownership

What amazed you most concerning functioning the studio?
Jain: Hiring. I never idea keeping a complete personnel would be specified a challenge. It’s a changeless procedure of hiring and rehiring since most of our workforce activity part-time.

We provision opportunities to elevated academy and university students. Their learning comes first, and whenever they complete elevated school, they may depart for college. We comprehend that, but before opening, we hadn’t really idea concerning how continuously we would need to activity on staffing.

What does a representative day appearance akin for you?
Choudhary: It’s busy. We don’t currently have a full-time manager, so we grip staffing ourselves. Sometimes we’re the two at the studio; sometimes we substitute days. There’s additionally glazing, payroll, social media, the calendar and another online work. Every day, item needs attention.

Beyond staffing, what has been difficult?
Jain: Calling customers whenever item happens to their pottery in the kiln. They may have spent hours creating a piece, and afterward it doesn’t arrive out perfectly. Telling them that is hard. It happens extremely rarely — we evaluation small than 1% of pieces — but we motionless dread those calls.

Choudhary: We recommendation a replacement part and waive the studio fee so they can arrive rear and coat again. We try to do any we can to create the cognition better.

Planning onward and protecting the partnership

How do you keep endeavor disagreements from affecting your friendship?
Choudhary: We knew things would happen since we were new to this. We accepted to keep an open conversation and conversation if item wasn’t working. We’re doing this because we’re friends. If we weren’t going to remain friends, there would be no item in having the endeavor together.

Jain: We’re akin sisters. There volition be disagreements; we can’t continually agree. But I wouldn’t have chosen anyone alternatively to do this endeavor with. If I open another studio, I’ll do it alongside Pooja.

What are your goals for the business?
Jain: We would affection to open another studio. We additionally desire to attain the top five in the franchise’s revenue rankings. We’ve been in the top 25 and reached sixth location for one month, but we haven’t made the top five yet.

Choudhary: We have akin goals and the identical imagination for the studio. That alignment is what makes the alliance special. Most of the time, we’re thinking alongside the identical lines.

OpenAI says it found a 'hidden' recording device planted in its office

support@mycoding.id (Lloyd Lee,Stephen Council) — Tue, 13 Oct 2026 21:31:40 +0700

OpenAI stated it established a record equipment "hidden" in one of its offices and reported the matter to the FBI. Bloomberg/Getty Images

OpenAI stated it established a "sophisticated record device" hidden in one of its offices and used its own AI to acknowledge who planted the device.

"We used our models to comprehend the equipment and anywhere it had arrive from, identifying that a particular employee had planted it a few days earlier," OpenAI wrote in an X article on Tuesday. "We referred the matter to the FBI, and we're grateful to the agents and prosecutors who moved quickly to create an arrest. The FBI's inquiry is ongoing and we volition continue to assistance their work."

The business stated that it established no evidence that the employee improperly accessed or manipulated example weights, origin code, or client data. The employee was fired, OpenAI said.

It's unclear exactly how OpenAI's models were used to acknowledge the employee. The business stated that the case was an example of how AI can assistance location "sophisticated safety threats."

A spokesman for OpenAI did not immediately react to a petition for comment.

The notice comes on the heels of a collection of firings at OpenAI unrelated to the record device. In the previous case, the business let go of three safety and alignment workforce who it alleged had "violated apparent policies on handling delicate information."

The workers, Jasmine Wang, Mikita Balesni, and Tomek Korbak, published a letter disputing several of the claims circulating concerning their conduct. They wrote that they were concerned concerning the deficiency of clarity about their firings, as fine as the way they power chill transparency at the company.

OpenAI stood by the dismissals. The business published an inner note that said, "Our inner inquiry uncovered a important breach of rely beyond what's outlined in the letter they published and we remain by the decision to not continue their employment."

This Massive Ultra-Thin QLED TV Is 43% Off Right Now

support@mycoding.id (Daniel Oropeza) — Tue, 13 Oct 2026 21:30:00 +0700

Daniel is Lifehacker's Shopping Editor covering tech deals and reviewing TVs, headphones, speakers, and projectors. He earned his master’s in reporting from Columbia University and has reported for the Miami Herald. He lives in Atlanta.

QLEDs are a awesome mid-tier TV option, sandwiched firmly between cheaper LEDs and premium OLEDs—but there's a broad range inside that QLED category, too. The Hisense E7SF QLED is in the low to mid-range of that category, but alongside its 46% discount, the cost is much lower. Amazon currently has the 100-inch Hisense E7SF QLED for $1,697.99 (originally $2,999.99), a new record-low price, according to price-tracking tools. The another sizes are all additionally seeing discounts, akin the 65-inch E7SF QLED, which is downward to $599.99 (originally $999.99). These discounts are particularly notable stated this TV came out in April of 2026.

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Get Deal SEE 3 MORE

The archetypal item you'll notice concerning the Hisense E7 is how lean and lightweight it is. It comes alongside four HDMI ports, including one alongside eARC assistance for connecting a soundbar and two that assistance a native 144Hz refresh charge for smoother gaming. Like most new TVs these days, it'll be 4K and have AI modes that enhance image quality. This volition be most noticeable whenever observing sports; the TV volition acknowledge the satisfied and automatically toggle the image settings to sports mode. Because this is a Fire TV, it'll arrive alongside built-in Alexa+, which is a nice contact for those already in the Alexa ecosystem. You can additionally install Kodi to observe practically item for free.

What do you think so far?

Another standout characteristic is the assistance for Dolby Vision IQ and Dolby Atmos, which can create your streaming much additional immersive as your TV adapts its image in genuine period to its surroundings and gives you a 3D surround-sound cognition (if you have a audio system). For its price, this is an outstanding choice for person looking to upgrade their TV to a new 2026 QLED without breaking the bank.

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Covering tech deals and reviewing TVs, headphones, speakers, and projectors.

OpenAI engineer arrested in bugging of executive conference room

support@mycoding.id (Riki Setiawan) — Tue, 13 Oct 2026 21:23:55 +0700

An OpenAI engineer has been arrested on suspicion of hiding an audio record equipment in an administrator gathering area at the company’s San Francisco headquarters, national prosecutors stated Tuesday.

Abdulrahman Alfozan, 35, a Saudi national, was arrested Friday and charged alongside using or attempting to use a equipment to obstruct oral communications. He made his first appearance in national court Tuesday and remains in custody.

An unattended bag established in the company’s offices contained Alfozan’s wallet and identification, as fine as a record device, according to the U.S. attorney’s agency in San Francisco.

Alfozan has worked as an engineer at OpenAI since July 2025, prosecutors said.

OpenAI personnel established the equipment Sept. 30. It was plugged into a USB harbor on the rear of a tv in an administrator gathering area and had been hidden in toilet paper, the grievance says. The business resolute it was installed about Sept. 28, and its contents were encrypted.

Surveillance footage shows Alfozan near the area on multiple dates before the discovery, although he was not authorized to act the area or act meetings there, prosecutors said. Meetings in the area frequently engaged confidential technical, commercial, and strategic information, including proprietary research, merchandise plans, and authorities engagements, according to the complaint.

Prosecutors say this depiction shows Alfozan looking rearward a tv in an OpenAI gathering room. | Source: Courtesy U.S. Attorney's Office for the Northern District of California

Before the equipment was installed, Alfozan used a efficiency tool to ask concerning OpenAI’s construction addresses, gathering rooms, area capacities, and calendars, as fine as the locations of guidance and exterior partner meetings, the grievance alleges.

A chatbot document tied to Alfozan’s spouse, which shared identifiers alongside his own account, submitted prompts between Sept. 24 and Sept. 30 concerning building, installing, obscuring, and remotely accessing a record device, prosecutors said. Queries included how to “build a uninterrupted audio recorder” and “encrypt the SD card,” prosecutors claimed. On Sept. 27 and 28, the document asked concerning the particular equipment that was afterward found, including its distinctive MAC address.

On Oct. 5, the grievance says, Alfozan entered the gathering area and appeared to appearance rearward the television. That identical day, he allegedly remaining a bag unattended in a distinct room. Security personnel who opened it established his wallet and ID, alongside alongside a second record equipment akin to the first.

“For us it is a matter of national security,” U.S. Attorney Craig Missakian stated in a statement.

A record equipment alongside encrypted contents was allegedly discovered at an OpenAI agency in San Francisco. | Source: Courtesy U.S. Attorney's Office for the Northern District of California

FBI Director Kash Patel stated protecting U.S. AI innovation is among the bureau’s highest counterintelligence priorities. Scott Schelble, particular delegate in accusation of the FBI’s San Francisco site office, stated the agency is committed to protecting delicate investigation and proprietary technology.

If convicted, Alfozan faces up to five years in jail and a $250,000 fine, followed by three years of supervised release.

The case is being prosecuted by the National Security, Cyber & Special Prosecutions Section of the U.S. attorney’s agency for the Northern District of California.

OpenAI said on X (opens in new tab) that following discovering the device, workforce used the company’s AI models to decide what it was and anywhere it came from, and referred the matter to the FBI. The business thanked the agents and prosecutors who “moved quickly to create an arrest.”

According to OpenAI, its specialized surveillance countermeasures squad established the equipment during a clear of a gathering room.

OpenAI described the equipment as advanced and designed to evade detection, saying it had advanced encryption, audio monitoring capabilities, and a scheme for transferring data in a way meant to evade monitoring. The business stated investigators used its models to analyze forensic images of the device’s retention and measure changes in the underlying data.

The business stated it has evidence that Alfozan intended to location another record devices in delicate spaces to secretly document meetings.

According to OpenAI, Alfozan was a associate of the merchandise team. The business stated it coordinated the timing of his firing alongside the FBI to evade disrupting the investigation, and he was terminated Friday, the day he was arrested. Between Sept. 30 and that date, OpenAI said, it gradually restricted his admission to systems and spaces, afterward suspended his bodily and network access, placed him on leave, and secured his company-issued equipment.

A YouTube video final duration touted him as the lone Saudi employee at OpenAI.

“Honestly, this one twelvemonth felt akin five years anyplace else,” he stated in reply to a inquiry concerning his experience.

“The idea of AI is that it handles things one power not desire to do, so they can concentration on tasks or hobbies they bask additional or activity they obtain pleaseure in and let it do the tedious tasks,” Alfozan stated afterward in the video.

A LinkedIn overview that matches Alfozan’s name lists his OpenAI function as engineering guide on the company’s AI agents phase

Before joining OpenAI, he was a founding engineer at Nash, an AI infrastructure business for logistics, from 2022 to August 2025, according to the LinkedIn profile. From 2017 to 2022, he was a elder systems engineer at Meta. His before experience, according to the profile, includes a stint as a systems engineer at Reach Labs, a wireless power startup in Y Combinator’s summer 2015 batch, and internships at Microsoft, SAP in Berlin and Akamai Technologies.

He has a master’s flat in data discipline from UC Berkeley, the LinkedIn overview says.

A man in the passenger place of a car at Alfozan’s Millbrae residence stated that the family did not desire to conversation to reporters.

OpenAI stated it has no sign that Alfozan improperly accessed or took example weights, origin code, or client data and has not seen action that compromised the safety of its products or customers’ information. The business stated it volition continue to assistance the FBI’s investigation.

OpenAI stated it treats protecting its technology, data and group “as a matter of national importance” and called the case an example of how AI can oppose advanced safety threats.

A detention hearing before U.S. Magistrate Judge Alex G. Tse is set for Oct. 19.

After 20 years at IBM, I changed careers and started a side gig. Now it's a 7-figure company — here’s how I grew it.

support@mycoding.id (Robin Madell) — Tue, 13 Oct 2026 21:16:13 +0700

Becky DeGrossa spent 20 years in Big Tech before beginning her business, CounselingWise. Matthew DeFeo for BI

This as-told-to composition is according to a conversation alongside Becky DeGrossa, a 66-year-old who is originator of CounselingWise from Boulder, Colorado. It's been edited for dimension and clarity.

I earned a flat in device discipline from Cal Poly and afterward spent 20 years in total at IBM, leaving the business in 2003. When I left, I was a adviser and managing principal, and I was expected to be foremost the squad up the elevation — but I fair really wasn't passionate concerning it at all anymore.

I spent a twelvemonth thinking, "I'm going to go do item else. I've been current forever. What do I cognize how to do? What do I akin doing?"

When I idea concerning what I liked concerning my Big Tech job, it was being a manager. The most meaningful part of my job was gathering one-on-one alongside workforce to assistance them out alongside a issue or trainer them along. I'd additionally been in therapy and had established it extremely helpful, so I idea I'd alter careers to become a therapist.

I earned a Master's flat in behavioral discipline from 2003 to 2006 and afterward worked as a practicing therapist. While doing this, I started a side gig from my therapy office, organizing small groups of therapists to display them what they needed to do to create their own Google endeavor overview and advance their website. This was the commencement of what became my promotion agency CounselingWise, which helps therapists get established by clients through these services as fine as tradition websites, SEO, and Google Ads.

As I spent additional and additional period on my business, I didn't have period to be a therapist and build my business. So I closed my therapy custom four years following I started it to prosecute my endeavor complete time, combining my technical, marketing, and behavioral discipline backgrounds.

DeGrossa stated the most meaningful part of her tech occupation was gathering alongside workforce to assistance them out alongside a issue or trainer them along. Matthew DeFeo for BI

It was difficult to halt my therapy practice — I felt honored to stroll alongside my clients through several extremely difficult things in their lives, and I didn't obtain leaving lightly. I stopped taking new clients correct away, but I gave my existing clients six months' notice.

We've been a seven-figure business since 2022 and hit $2 myriad in June 2026. The endeavor has made about $300,000 in gain all twelvemonth for the former five years. About 99% of our income is generated from done-for-you services, including satisfied writing, website development, Google endeavor overview optimization, and Google Ads.

Here are the key strategies that helped me build it.

1. I helped group do what they didn't desire to do themselves

When I started working as a therapist, it took me a during to fig out how to create my website visible. I idea it'd be uncomplicated to fair put up a endeavor location and get my phone to ring, but I established that Google's local algorithm was really a particular way of promotion I knew nothing about.

So I took classes to study hunt motor optimization (SEO) and satisfied writing. I archetypal took a way in copywriting, afterward learned concerning ranking in Google Places, and afterward learned concerning on-page SEO.

Once I started implementing what I learned in these classes for my own website, my phone started ringing. At that time, all my allies were therapists since we went to academy together, so I started instruction a category to another therapists concerning online promotion strategies. I held the classes in my therapy office. We brought in chairs and sat in a circle and I taught them what I was doing alongside my website.

She learned concerning SEO and satisfied penning before launching her business. Matthew DeFeo for BI

I idea they'd do it themselves formerly I taught them, but most of them didn't awareness specialized adequate or akin they were fine adequate writers, and I realized there was a petition for these services. It was exactly one stage at a time, realizing, "Oh, group don't desire to do this — I could do it for them."

2. I systematized what I learned

What helped my business's growth was putting my period likewise into learning the specialized side, and afterward focusing on administration and systematizing techniques to scale.

I learned that in a small nimble market akin mine, whenever I discover a fine idea, I test it out a figure of times to see if it works, and afterward I systematize it and employ group to do it. And afterward I go rear about — cleanse rinse, reiterate — to discover the next hopeful item that I can test.

So I have a small endeavor betterment squad that does all this evaluation on SEO techniques to rotate into apparent in Google and AI search. This consists of on-page optimizations to the website, off-page link-building, and optimizations of Google endeavor profiles. If a particular SEO method works, afterward we systematize it, measure it, and rotate it out. We're continually changing our scheme to remain up to date.

One example of evaluation a new idea happened in May 2024, whenever a important Google Search records leak occurred. Based on that records and our testing, we added schema to our residence and specialty pages. We tested this alongside multiple of our clients and it helped them position better, so we rolled it out as a new part of our strategy.

3. I created a civilization anywhere my squad cares concerning my clients.

The another part of administration I concentration on is creating a civilization anywhere my team — which fluctuates between 40 to 50 contractors who I pay hourly rates depending on their function and cognition flat — cares concerning my clients. In my world, our clients are therapists who are extremely delicate to individual interactions, so we don't fair employ astute group who can crank out code.

"Our clients are therapists who are extremely delicate to individual interactions, so we don't fair employ astute group who can crank out code," she says. Matthew DeFeo for BI

We employ project managers, for instance, who have extremely fine group skills. They can activity alongside a non-technical client to reassure them the entire way that we have their finest involvement at heart, and we're going to portray them fine on their website.

Because of my administration cognition in corporate, I have a viewpoint of what it takes to be capable to build a really fine position as a therapist. So I importune on this entire client attention part for our clients, since they do fantastic activity in the world, and I desire to obtain attention of them.

The key is making certain that my specialized scheme and systematizing go hand-in-hand alongside client care, to create certain we obtain attention of our clients in the procedure and create them awareness held by us. Those are the three legs of the stool that have allowed us to continue to grow.

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Robin Madell has spent complete two decades as a company author and communications adviser in New York and San Francisco, serving as a copywriter, ghostwriter, and speechwriter for executives, entrepreneurs, and idea leaders throughout varied industries, alongside a concentration on productivity, work-life balance, emphasis management, and women's leadership. As a endeavor journalist, Robin contributes to Business Insider's Strategy section, and her activity has additionally been published in Harvard Business Review, Fortune, Forbes, US News & World Report, and many another endeavor publications. Robin is the author of "Surviving Your Thirties: Americans Talk About Life After 30" and has contributed to many endeavor books including "Ditch Your Inner Critic at Work: Evidence-Based Strategies to Thrive in Your Career," "Rise to the Top: How Women Leverage Their Professional Persona to Earn More," and "Be Your Own Mentor: Strategies from Top Women on the Secrets of Success," published by Random House. Before starting her own endeavor as a company writer, Robin held administrator positions in communications, journalism, and advertising, including as vice chairman and managing director at Draftfcb in New York, as managing publishing company at Cline Davis & Mann, and as director of communications at Catalyst, Inc., on Wall Street; she has additionally served on the Board of Directors of the Healthcare Businesswomen's Association in New York and San Francisco. An avid runner and two-time Boston Marathon qualifier, Robin graduated summa cum laude and Phi Beta Kappa alongside honors from University of Oregon, a.k.a. TrackTown USA, anywhere she majored in English — sojourn her on her website.

I've been to Iguazú Falls countless times. Seeing them under a full moon was something else.

support@mycoding.id (Conz Preti) — Tue, 13 Oct 2026 21:08:46 +0700

The author went on a full-moon stroll at Iguazú Falls at night. Courtesy of the author

I'm originally from Argentina and grew up in Brazil, so I've been to the Iguazú Falls — which sit between the two countries — plentifulness of times.

This year, I decided to obtain my hubby and kids to see the world's largest waterfall system, since they had never been before. And during their minds were blown during our daytime visit, it was the night stroll I took alongside my hubby through the falls that, honestly, took my respiration away.

The complete moon tour is small and private

The night tour is lone accessible during a full moon, and you can choose distinct period slots. We were there alongside allies for a wedding and chose the 9:25 pm slot to justify it'd be really dreary out. While kids are allowed on the full-moon tour, we decided to depart ours at the inn alongside my mom so we could completely bask the experience.

The author walked in the dreary through the Iguazú Falls. Courtesy of the author

Our tour had 120 people, which is comparatively small compared to the thousands you can encounter strolling alongside the metal element walkway foremost to the falls during the day. The cognition felt close since we were specified a small group, which gave us area and period at all stop.

The stroll starts correct before the falls, alongside a small achievement by the Guaraní, the indigenous group of that part of Argentina. There, our guide additionally explained what certain words meant, for example, Iguazú method "big water" in Guaraní.

The moon guided our way

After the performance, we started strolling through a thick timber in the dark. The guides told us to use all our senses to cognition the national park in a way extremely few always do, and they were right. We started noticing distinct chirps and squawks from insects, birds, and monkeys. There were additionally distinct smells coming from the forest.

But one audio was undeniable. Even before we reached the falls, the audio they made was so noisy that it was difficult to ignore, and it grew equal louder as we approached.

The author heard the waterfalls before she saw them. Courtesy of the author

Throughout the tour, we weren't allowed to use flashlights or flash photography. The entire item was to let your eyes modify to strolling in the dreary and to let the moon guide you. It was beautiful mind-blowing to see how your imagination changed the additional we went into the park; it didn't awareness akin nighttime.

The waterfalls are breathtaking

As shortly as we approached the archetypal fall, you could comprehend everyone gasp and halt to obtain photos. The enormity of the falls is beautiful breathtaking, but additionally emotion their power at night is indescribable. Even as a writer, I deficiency the words to explain how mighty it felt.

There are two circuits to the falls: top and bottom. Because the h2o levels are currently so elevated since of El Niño (so much so that Argentina had to near several parts of the park), we were lone capable to cognition the top circuit during our visit. We missed out on the Devil's Throat, which gets you incredibly near to the falls. Our path let us see the waterfalls from complete and the elevated jumps the h2o makes before it reaches the dirt again.

Argentina had to lately near parts of the tour the author took since the h2o is so high. Courtesy of the author

At times, I fair stood there, mesmerized by the appears of the h2o spraying alongside all its intensity, surrounded by mist, under a sky covered in stars.

My husband, who was experiencing it all for the archetypal time, kept saying "wow" complete and over. At one point, it was fair him and me on a lengthy metal element construction overlooking the stream correct before the falls. It felt akin we had the entire park to ourselves, and it was the most affectionate item we've done following many years of parenting small kids. We made it rear to the entrance of the park about midnight.

We brought our kids during the day

The next day, we took a trip to the Brazilian side of the falls, which offers a panoramic perspective of this natural beauty. We rode a container alongside our kids and allies near to the falls, anywhere we got soaked and saw plentifulness of rainbows. On the way rear to our car, we saw coatís and monkeys.

After that, we took our kids to cognition the identical stroll we had taken under the brilliant complete moon, but during the day. Seeing the difference between what a daytime and a nighttime tour offers, I was remaining wishing we had taken the kids on the full-moon trip.

Before we equal remaining Iguazú, my oldest was already asking us whenever we were coming back.

MC Project

Everything we know about the 'Girls' revival

Lena Dunham, Allison Williams, Jemima Kirke, Zosia Mamet, and Andrew Rannells are returning

The revival volition commerce the anarchy of their 20s for the milestone of turning 40

Dunham stated the idea came to her about her 40th birthday

Adam Driver’s come back hasn’t been confirmed

Judd Apatow is returning, but erstwhile co-showrunner Jenni Konner isn’t confirmed

Production starts in 2027, but there’s no premiere date yet

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Is 'Attention' the Essence of Intelligence?

I built a tool to track what AI leaders say and how their views change on video

Who should we prosecute next in AI?

High-speed video reveals how honey bee stingers pump venom

Do Frameworks Matter Anymore?

Imagine

What is the value of a web framework?

Everyone uses a framework

What I desire (and don't want) in a framework

So do frameworks matter anymore?

Bing Webmaster Tools Sorts AI Search Queries Into Topics

What Topics Portfolio Shows

What’s Different From June

Beta Limits

Why This Matters

Looking Ahead

Show HN: Pulse Local, a Mac budgeting app whose AI models run on your machine

“Local” normally method your data.Not your question.

Ask concerning your money.Keep the conversation private.

See what you can ask.Then create it your own.

A complete budgeting app.Not a privacy demo.

Local manner is global.Local is global. Sync is US, for now.

Same app. Any price.You pick.

Once it is on your machine

What you provision up.

Art of Play co-owner says Kelly Clarkson's post was 'like she threw a Molotov cocktail at us'

Read next

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Business Insider tells the innovative stories you desire to know

Recreational Programming

Show of hands:

What is Recreational Programming?

Definition

What it looks like:

What it's NOT:

Why it matters:

The Recreational Programming Spectrum

Style 1: The Live Explorer

Style 2: The Deep Diver

Style 3: The Creative Technologist

Style 4: The Problem Solver

Style 5: The Language Explorer

Common Patterns Across All Styles

Permission to Build "Useless" Things

Follow Energy, Not Plans

Document the Journey

Embrace the Learning Process

Your Personal Programming Playground

The Environment

Approaches You Can Try

The Mindset Shifts

Real Examples in the Wild

Zikani Nyirenda - The Practical Experimenter

Jeremiah Chienda - The Full-Stack Experimenter

Tsoding Daily - The Live Explorer

ThePrimeagen - The High-Energy Problem Solver

Casey Muratori - The Systems Deep Diver

Ben Eater - The Educational Builder

Dan Luu - The Deep Technical Investigator

Closing Challenge

Final Thought

Apple’s HomeView ad is confusing to everyone except parents

AlphaNIST

The gathering challenge

Robots can be creative—if we provision them room.

“Local” normally method your data.
Not your question.

Ask concerning your money.
Keep the conversation private.

See what you can ask.
Then create it your own.

A complete budgeting app.
Not a privacy demo.

Local manner is global.

Same app. Any price.
You pick.

Experience diversity:
heterogeneous resources and first states