MC Project

Travis Kalanick shares 'struggle session' guide amid Jensen Huang scandal

support@mycoding.id (Natalie Musumeci) — Tue, 10 Nov 2026 18:54:27 +0700

Justin Sullivan/Getty Images; Joel Saget/AFP/Getty Images Travis Kalanick has shared several direction amid Jensen Huang's matter scandal.

Uber cofounder and ex-CEO Travis Kalanick has shared a guide for combating what he called a "modern-day coup/psyop/struggle session" following Nvidia CEO Jensen Huang became embroiled in scandal.

Kalanick did not name Huang or Nvidia in his X article Monday, but his communication appeared as scrutiny intensified complete Huang's admission that he had an extramarital affair.

At the center of the saga is Alice Huang, whom The New York Times reported final duration was believed by US intellect officials to be acting as a spy for the Chinese government.

In his X post, Kalanick detailed a 12-point catalog of "practical principles to counter" a reputational crisis.

"Own what you did but fiercely oppose accommodating the mob, oppose owning half-truths or actions/behaviors you didn't do," Kalanick wrote as the archetypal regulation on his list.

He followed that with, "The op is not concerning your former actions, it's concerning your enemies and this event as their opportunity."

Kalanick additionally suggested that any fallout may not be as dire as you think, writing, "No matter how bad it gets, nothing is as bad as it seems."

Had a small period on my hands this dawn to do several writing… dispatch alongside to person you cognize who may benefit --- “Practical principles to oppose a modern-day coup/psyop/struggle session” 1) Own what you did but fiercely oppose accommodating the mob, oppose owning half-truths or actions/behaviors you didn’t do. 2) The op is not concerning your former actions, it’s concerning your enemies and this event as their opportunity 3) No matter how bad it gets, nothing is as bad as it seems. 4) Find the enemies at the extremely base of the op and discover all imaginative problem-solving tool at your disposal to neutralize them. 5) People volition throw their grandma under the bus if they accept doing so volition defend their reputation. They can rotate into extremely helpful idiots in the op. Their power and admission must be fiercely and quickly cut off. 6) Do not hesitate in cutting off anyone you doubtful of disloyalty. 7) Build a squad of near and loyal patriots and have one of them run a dedicated, well-resourced war area to put the rebellion to rest. 8) Use your patriots and regular meditation to buoy your mental opposition to the op. 9) Your enemies aren’t as astute or difficult operating as you. Outsmart and outwork them as a way of existence until the op is over. 10) Think concerning the op as if it were in the past. What are the difficult things you procrastinated on or avoided that would have stopped the op? Do them. 11) Never be ashamed of the op. Business as usual. Continue on alongside optimism and joy in your mundane activity and its mission. 12) Download telegram and use it as your messaging use for all delicate communications.
— travis kalanick (@travisk) November 9, 2026

The Uber cofounder's direction included finding the "enemies at the extremely base of the op," cutting off anyone suspected of disloyalty, and construction a squad of "close and loyal patriots" alongside one who can run a "well-resourced war room."

"Your enemies aren't as astute or difficult operating as you," Kalanick wrote in item nine. "Outsmart and outwork them as a way of existence until the op is over."

He additionally urged those facing specified a circumstance to transport on alongside "business as usual," adding, "Continue on alongside optimism and joy in your mundane activity and its mission."

Additionally, Kalanick advised downloading the encrypted messaging app Telegram for "all delicate communications."

At the top of the post, Kalanick stated he had "a small period on my hands this dawn to do several writing" and encouraged followers to "send alongside to person you cognize who may benefit."

Kalanick did not immediately react to a petition for comment concerning whether he may have had Jensen Huang in mind.

Uber investors pressured Kalanick to resign as the ride-hailing company's CEO in 2017 following a sequence of scandals roiled the company.

Meanwhile, Jensen Huang's admission that he was "unfaithful" to his spouse of complete 40 years has prompted Nvidia to initiate an autonomous inquiry into whether he was the "target of a abroad intellect effort."

Nvidia's commission has stated it has confidence in his leadership, although the controversy has raised questions concerning whether he volition remain CEO of the $4.5 trillion AI chipmaker.

I attempted to make Aldi's under-$39 Thanksgiving dinner that serves 10 people

support@mycoding.id (Savannah Born) — Tue, 10 Nov 2026 18:44:01 +0700

Savannah Born I tried preparing Aldi's $39 Thanksgiving meal for 10. It felt akin a fine value, and we had plentifulness of food, although it disbursal me additional than $39 to make.

My family continually hosted Thanksgiving, which meant cooking our complete meal from scratch, from stuffing to gravy to pie crust. One year, we equal made our own rolls.

But everyone is busier these days, and purchasing specialty ingredients adds up. So whenever I heard concerning Aldi's Thanksgiving market plan that, according to the retailer, includes everything you need for a complete, no-fuss, home-cooked feast for 10 for under $39, I knew I had to try it.

A few weeks before the holiday, I visited Aldi, bought the ingredients, and attempted to create its Turkey Day spread.

Here's how the shopping, cooking, and tasting experiences stacked up — and whether the budget-friendly list felt value it.

The 12-item catalog was accessible on the Aldi app and website.

I kept the catalog pulled up on my phone as I shopped. Savannah Born

To create things easy, I took a screenshot of the catalog before shopping. It was additionally accessible on Aldi's website and app.

The catalog featured mostly ingredients, a few ready-to-prepare items, and one ready-to-serve food, all inspired by the American Farm Bureau Federation's Thanksgiving Dinner Cost Survey.

A few essentials seemed to be missing from the list, which amazed me.

Aldi's catalog this Thanksgiving was beautiful distinct from final year's. Savannah Born

I'd never eaten a Thanksgiving meal without mashed potatoes, so I was amazed potatoes weren't on this year's list.

For reference, last year's list had 21 distinct products, including russet potatoes, green beans, gravy mix, marshmallows, and boxed mac and dairy merchandise for a $40 cost tag.

Comparatively, the 2026 lineup, alongside 12 products, felt a small meager — equal if it was $1 less.

I'd have to get imaginative to pine up my saccharine potatoes without marshmallows, discover another way to create gravy, and skip the two mashed potatoes and green beans.

I headed to Aldi on November 4, the day it began marketing its turkeys.

I was capable to discover most of the items on my catalog at Aldi. Savannah Born

By November 4, everything apart from the pumpkin-pie mix had hit Aldi shelves. (It was set to be released a week following I shopped, so I decided to catch a can of pumpkin purée instead.)

I imagined there'd be a dedicated Thanksgiving division inner the store. Instead, items remained in their customary aisles.

Even as a common Aldi shopper, I motionless took a during to discover everything.

Some items in my shop were marked alongside a small turkey; others were not. Savannah Born

Luckily, I sojourn my local Aldi frequently adequate to cognize the broad layout.

However, since the items were beautiful scattered, I ended up scanning nearly all sole aisle to discover everything on my list.

A adorable turkey icon was expected to grade Aldi Thanksgiving items; however, lone concerning fractional the cost signs in my shop really seemed. to have it.

I enjoyed picking out my turkey.

There were many of turkeys at my local Aldi. Savannah Born

Aldi's $39 fig assumed a 16-pound turkey, so I scoured the well-stocked freezer to discover the closest match.

At $0.99 per pound, a 16-pound animal would have disbursal $15.84, but a 15.52-pound turkey called my name. It came to $15.36.

The 12 ingredients did disbursal me small than $39.

The items from Aldi's catalog disbursal me small than $40. Savannah Born

For all 12 items on Aldi's Thanksgiving market list, my command totaled $35.96.

Had I bought the soon-to-be-released pumpkin-pie mix for $1.99 alternatively of the pumpkin puree for $0.99, my command would have disbursal $36.96 — motionless under $39, though.

A few items had recipes on their packaging that I could follow.

When possible, I followed the recipes on the packaging for a few items. Savannah Born

As mentioned, the stuffing mix and pumpkin purée had recipes on their labels, as did the cranberries and dense whipping cream.

I followed all apart from for the whipped-cream recipe. The carton suggested using powdered sugar and vanilla extract, but I used regular sugar alternatively since I had it in my pantry. I omitted vanilla since I didn't have any on hand.

For items without recipes, I leaned on my own cognition and online tips.

I used one box of stuffing mix for the turkey and served the another two as a side.

The stuffing from a boxed mix was beautiful tasty. Savannah Born

Making homemade stuffing is a time-consuming venture, so I appreciated the stovetop shortcut. It took lone 10 minutes from commencement to finish.

I cooked one box to material the turkey, afterward waited a few hours to create the another two boxes.

I desperately wanted to add onions and herbs to the stuffing. I equal considered using the carrots and celery, but per Aldi's Q&A for this Thanksgiving offer, they were meant for a veggie tray.

Plus, I wanted to sensation the stuffing as-is, prepared as instructed on the package. So, I remaining it alone.

The turkey had essential cooking instructions.

My turkey came frozen. Savannah Born

The turkey's packaging provided cooking times and tips. To my delight, the turkey was additionally already brined, so it wouldn't need much additional salt.

I rubbed the skin alongside oliva oil, bulb powder, ail powder, dried rosemary, and dried thyme, added the stuffing inside, and popped it into the oven for concerning four hours.

The tag on the bag of saccharine potatoes felt akin a tease.

A lot of those ideas echoed nice, but I wasn't capable to do much to the saccharine potatoes alongside the ingredients I had from this list. Savannah Born

The tag listed 22 mouthwatering saccharine and savory ways to top the saccharine potatoes. Unfortunately, lone cranberries were feasible according to my uncomplicated Thanksgiving buying list.

I don't intellect plain mashed saccharine potatoes alongside a small cranberry sauce, but I cognize many group favor honey, pecans, marshmallows, or all of the complete as toppings.

I baked and afterward mashed the sweet potatoes alongside several of the gallon of dairy from my catalog to keep them free and moist.

I used small than a cup, though, so purchasing a smaller carton would've made additional sense. I'm not certain what the remainder of the dairy was meant for.

I was capable to create gravy using pantry staples and recipes I established online.

Gravy is a Thanksgiving must-have. Savannah Born

Aldi's catalog this twelvemonth didn't contain gravy mix, so I turned to the net to see if I could drag one together using pantry staples and items I had on hand.

I was capable to use the turkey drippings, several margarine I'd bought for stuffing, and the flour in my pantry to create a quick gravy.

Overall, the turkey and pumpkin pie were highlights — particularly the whipped cream.

The turkey, pumpkin pie, and whipped lotion were beautiful good. Savannah Born

Turkey is what you create of it, and alongside yummy seasonings and crispy skin, I'd say I did beautiful well.

The beautifully spiced pumpkin pie was nostalgic; however, the genuine showstopper was the dollop of whipped lotion on top.

Homemade whipped cream made all the difference and was silky smooth. The lone item that could have made it better? Vanilla extract.

I'd attire up the stuffing and the saccharine potatoes next time.

Next time, I'd fountain for caller herbs. Savannah Born

The stuffing amazed me alongside its pleasantly herbaceous flavor, but in my opinion, you can't overdo herbs. I would have loved to add caller sage and rosemary, affirmative cut bulb and celery.

I enjoyed the essential mashed saccharine potatoes. However, if I were serving them to a group, I think they'd need a small item additional — equal fair butter. Any of the suggested toppings on the sweet-potato bag's tag would have added a nice touch.

The identical held for green peas. I didn't intellect them plain, but a dab of margarine turned them into additional of a crowd-pleaser.

The cranberry sauce, which I made by simmering the berries in sugar and water, afterward letting it set, turned out decent. The Hawaiian saccharine rolls, which were ready-to-eat, were additionally firm — although again, they'd brace fine alongside several butter.

The veggie tray was a miss.

I wasn't certain what to assist the carrots and celery with. Savannah Born

Honestly, a veggie tray felt akin a left-field Thanksgiving pick. It seemed equal additional random without item to dip the veggies in.

This might've made awareness if a ranch mix or dressing was additionally on the Thanksgiving list. Ultimately, I served them plain.

Instead of spending $1.84 on carrots and celery, I would've preferred to buy an bulb and herbs to pine up the stuffing instead.

The final meal didn't awareness akin it was lacking much … apart from mashed potatoes.

I was beautiful blessed alongside my Thanksgiving meal. Savannah Born

Some power young female mac and dairy merchandise or green-bean casserole, which were the two not included in this year's list. Personally, I fair missed mashed potatoes.

Every Thanksgiving table needs creamy, buttery mashed potatoes. That's the lone dish I'm motionless craving. If I had to toggle them for one item, it would be the saccharine potatoes — which pains me, since I do affection them.

The value was current — but I desire the necessary ingredients were all on the list.

My Aldi Thanksgiving meal turned out beautiful good. Savannah Born

Ultimately, though, this felt akin a awesome value for 10, equal following I purchased additional ingredients. As Aldi promised, the disbursal per individual came to concerning $4 for a entire Thanksgiving feast.

The meal had the ideal amount of turkey, pumpkin pie, cranberries, and rolls; plentifulness of stuffing; and fair adequate saccharine potatoes and peas for a 10-person party.

Even the veggie tray, different as it seemed, felt adequate for a big group.

Overall, I desire Aldi's Thanksgiving under $39 catalog was a small additional transparent concerning the additional items needed, or at smallest clearer concerning what customers should have on hand.

Spending a few additional bucks wasn't a huge deal, but had I not checked the recipes in-store, I would've needed to create another trip to Aldi.

Business Insider reached out to Aldi for comment.

Ableton Live 13 announced with a step sequencer, new drum synth, and more

support@mycoding.id (Terrence O’brien) — Tue, 10 Nov 2026 18:43:49 +0700

Terrence O'Brien

is the Verge’s weekend editor. He’s covered the tech industry for complete 18 years and knows a item or two concerning synths.

Today, Ableton announced Live 13, which is expected to attain in first 2027 alongside a slew of new features. Most of the changes are apparently insignificant on paper, but whenever combined, they create for the biggest update to the digital audio workstation (DAW) in years.

The characteristic most apt to diagram notice is the supplement of a appropriate stage sequencer. While Ableton’s Push controller had a dedicated stage sequencer, and you could efficiently use the keyboard rotate as one, the desktop app never included one. Ableton didn’t phone this characteristic in either — it’s a mighty sequencer. You can alter velocity, timing, chance, length, and repeats for all stage in the grid. Each track can have its own length, playback rate, and direction, letting you create item complex and evolving.

The supplement of ARA plugin assistance volition additionally apt excite pro producers and vocalists. This method compatible plugins can now be used immediately on audio in the DAW. For example, throw correction and time-stretching tool Melodyne earlier required you to import audio from Ableton into Melodyne, afterward render it rear out to a track in your DAW. Now it can spotless up messy vocal takes immediately in Live’s UI.

Ableton has additionally added a new mixer perspective that lets you see all the loaded devices on a track in a compact vertical view. Here you can drag and autumn them between tracks, or copy and paste them. It additionally makes it much easier to navigate a sprawling 30-track meeting quickly at a glance.

My individual favorite new supplement is Looplet, an experimental looping device alongside four playheads and a ton of options for manipulating your audio. It offers granular processing, filtering, throw and speed control, and all playhead can be routed to idiosyncratic tracks for additional processing. It’s a mighty tool for ambient and soundtrack work.

The complete catalog of new features is sprawling, so current are fair a few additional highlights:

A new drum synth alongside additional than 20 distinct models throughout nine categories spanning traditional drum machines and experimental theoretical percussion.
Capture now includes not fair MIDI notes but automation as well.
Contextual browsing lets you toggle instruments and presets immediately in the equipment view, reducing the need to open the chief browser.
Multiband racks for handling distinct frequencies through distinct consequence chains.
A bread-and-butter transient maker for tightening up drum sounds.
Envelope clips on come back tracks for automating effects.
Racks can now have up to 32 macros and tradition mapping curves.
Custom layouts on Push 3 for combining mixers, note grids, stage sequencers, and more.

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Terrence O'Brien

Google Fi is bringing back multiple cell network support for better coverage

support@mycoding.id (Stevie Bonifield) — Tue, 10 Nov 2026 18:32:39 +0700

Stevie Bonifield

is a news author covering all things person tech. Stevie started out at Laptop Mag penning news and reviews on hardware, gaming, and AI.

Google Fi is launching a new “super network” that can automatically toggle users between two distinct 5G networks depending on which one has improved connectivity. The characteristic is rolling out starting today on Pixel 9 and newer phones that have Google Fi energetic on eSIM and have any non-Fi SIMs disabled.

When Google Fi archetypal launched in 2015, users were originally capable to toggle between T-Mobile and Sprint’s networks. But those two networks eventually became one whenever T-Mobile acquired Sprint in 2020, and so the network switching stopped there. Jane Harnett, Google Fi Wireless elder merchandise manager, told The Verge that Fi stopped offering the characteristic since “the wireless landscape consolidated via mergers and constricted our capability to recommendation multiple networks inside the US.” (Networking switching has continued to be available internationally.)

Now the characteristic is returning to the US, alongside Fi formerly again hopping between two networks. Harnett declined to portion which networks Fi volition be operating alongside to create this happen. Google Fi’s FAQs say it currently provides safety through T-Mobile’s network.

According to Harnett, Google Fi’s new method to network switching is faster than what it offered before, and uses eSIMs’ capability to connect to multiple carriers at once:

“Previously Fi’s switching was single-SIM switching which could lone nexus to one network at a time, so your phone had to delay until assistance dropped entirely before performing a dilatory SIM overview toggle into another network without knowing if safety was really improved there. Fi additionally tried dual-SIM iterations that required the two a bodily SIM and eSIM which could be slower to transition.
Now we are rear alongside added networks domestically. We have rebuilt the cognition from the dirt up for the contemporary era. With our new switching on newer Pixel devices, your phone keeps two eSIM network profiles on standby at the identical period (via MEP technology) and uses the Android OS to detect live association quality. It additionally lets your phone passage faster and additional fluidly alongside minimal power division impact—knowing a improved association is accessible before it switches.”

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Stevie Bonifield

The Verge Daily

A liberated regular digest of the news that matters most.

Read the memo Boeing sent staff announcing 2,500 job cuts in its airliner business

support@mycoding.id (Pete Syme) — Tue, 10 Nov 2026 18:09:26 +0700

The Boeing 737 Max is its most famous plane, but efforts to addition manufacturing have stalled. Jason Redmond / AFP via Getty Images

Boeing announced Monday that it volition cut 5% of personnel in its business division, which makes the 737 and another airplanes used by millions of travelers worldwide.

The layoffs stem from Boeing's inability to addition manufacturing as quickly as hoped, definition it is "overstaffed," the division's CEO, Stephanie Pope, stated in an inner memo obtained by Business Insider.

Boeing has been ramping up manufacturing of its most famous aircraft, the 737 Max, as it recovers from a norm and safety emergency sparked by the Alaska Airlines blowout in January 2024.

While it had hoped to create 47 of the 737 Max a duration this year, Boeing CEO Kelly Ortberg told investors on an earnings call in October that expanding manufacturing was taking longer than expected.

That sent the company's portion cost downward 10.7%. The inventory is 25% lesser so far in 2026.

Boeing volition create the cuts through "a blend of attrition and involuntary layoffs," Pope stated in the memo. Affected personnel volition be told commencement in December.

The business airplanes division, known as BCA, is Boeing's largest business, employing concerning 50,000 people, definition the planned 5% decrease is equal to approximately 2,500 employees.

BCA accounted for 44% of the company's income final fourth but made a $697 myriad loss. Boeing's Defense & Space and Global Services divisions were profitable in that period.

In a declaration released following the cuts were announced, Boeing stated it is operating alongside personnel to "minimize the impact" of the layoffs by "supporting their occupation passage through company-sponsored outplacement services, layoff benefits, and employee aid program support."

Read Pope's complete memo to personnel below:

Team,Over the former two years, we have made important investments in talent, training, and infrastructure throughout BCA to stabilize our endeavor and fortify our basis for the future.In supplement to your difficult activity and dedication, these investments have contributed to meaningful improvements in our improvement including norm and shipment performance, 737-7 and 737-10 certification, and affirmative changes to our culture.While we have made significant progress, we have not yet completely recovered.As shared in our third-quarter earnings, we need to reset the gait of our manufacturing charge ramps to provision our factories and provision sequence partners additional period to accomplish stability. Adjusting our manufacturing schedules and reducing airplane output puts us in an overstaffed position.Unfortunately, that method we need to align our staffing levels to our revised endeavor plan, resulting in a decrease of about 5% through a blend of attrition and involuntary layoffs, alongside notifications commencement in December.I cognize how difficult these actions are and the effect they volition have on all of us, our families, and our communities. We volition never obtain that lightly. We volition do everything we can to minimise the effect by supporting occupation transitions through company-sponsored outplacement services, layoff benefits, and Employee Assistance Program support.Throughout this process, we volition remain true to our Values & Behaviors, including our resolute dedication to safety and norm and our duty to justify that everyone is treated alongside dignity and respect.Thank you for everything you do to assistance all another and our customers. The advancement we have made demonstrates what is imaginable whenever we remain focused, resilient, and committed to one another. By continuing to attention for one another, uphold our standards, and activity together alongside purpose, we volition complete our improvement and build a stronger forthcoming for BCA.Stephanie

From Brief to Portfolio Proof: A Repeatable Tripo Workflow for Reviewable 3D Assets

support@mycoding.id (Board Infinity) — Tue, 10 Nov 2026 18:06:18 +0700

A polished render may capture a recruiter's eye, but it does not display how a learner
made decisions. A stronger portfolio case explains what was uncertain, why one
input path was chosen, how the outcome was inspected, and what would be changed
next. That decision trail matters since content prompts and approved idea images
should not be judged by the identical standard.

The test topic current is a stylized expedition airship. Its lotion envelope, broad
forest-green band, compass emblem, copper ribs, wood-and-metal gondola, angular
tail fins, and rear propeller provision reviewers multiple landmarks to follow. The case is
useful for a pupil portfolio, game-asset concept, visualization exercise, or
previsualization study. It does not demonstrate that the scheme is aerodynamically sound,
mechanically buildable, or prepared for animation.

Choose the path before beginning the generator

Text prompts, sole images, and matched multi-view references are distinct starting
points for example generation. In this exercise, Text to 3D is used during the airship's
form is motionless open to interpretation. Image to 3D comes later, following a ocular direction
has been approved and similarity becomes the assessment target.

The operating set is intentionally small: two generation routes, inspection in the 3Dviewer, one controlled retry, and export following review. This keeps the exercise
teachable and makes the logic of all alter easier to explain in a portfolio assessment or interview.

Both routes need the identical destination. A storyboard asset chiefly needs a readable
silhouette and helpful camera angles. A nearer asset assessment puts additional force on
part placement, hidden surfaces, and color blocking. If the destination changes
halfway through, the difference no longer proves much.

Step 1: Define the decision before choosing an input

Start by separating what is fixed from what is motionless negotiable. For the archetypal review, only
the airship's role, broad silhouette, and important assemblies are locked. Envelope
length, gondola scale, rib spacing, tail-fin geometry, and propeller institution may
still move. Later, the approved depiction turns those identical features into fidelity checks.
Writing this difference downward demonstrates issue framing, not fair tool use.

The airship plant for the two routes since its character does not depend on one small
ornament. Reviewers can track the envelope-to-gondola proportion, green band,
compass emblem, copper ribs, rear fins, and rear propeller from the archetypal test to
the final inspection. Keep the reference, camera assumptions, and acceptance
criteria unchanged during the comparison.

Portfolio evidence to save: grasp the one-page decision rubric, including the
intended use, fixed features, negotiable features, and assessment criteria.

Step 2: Explore an open scheme alongside Text to 3D

Tool investigation frequently starts alongside a query specified as ai 3d example generator free,
especially whenever a learner wants to test a workflow before choosing a production
stack. For this exercise, open Tripo's Text to 3D workflow and enter: "Steampunk
airship alongside striped balloon, wooden hull and metal braces, compass sign on
balloon, orange propeller, detailed rigging and cargo deck." Record the visible
generation choice and applicable settings, afterward choose Generate.

Busy exterior item is not a logic to endorse a candidate. The helpful outcome is the
one that says plainly as an airship, keeps the chief assemblies understandable, and
gives the learner a tangible next question. Continue whenever those basics are present.
Retry lone if the conveyance function or center construction is missing.

Portfolio evidence to save: grasp the complete prompt, apparent generation option,
relevant settings, and archetypal generated applicant in one readable screenshot.

Step 3: Approve one ocular direction

Now treat the supplied airship depiction as the approved direction fairly than loose
inspiration. Preserve the cream-and-green envelope, compass emblem, copper
bands, wood-and-metal gondola, dreary braces, angular rear fins, and rear propeller.
The image is a idea input, not evidence of a generated result.

Before moving on, compose a abbreviated character list: silhouette, envelope-to-gondola
proportion, cream-and-green split, compass emblem, rear assembly, and rear
propeller. That catalog becomes the rubric for the image-driven run. If the far side, rear, or
underside volition power the decision, prepared matching views alternatively of asking one
image to define hidden geometry.

Portfolio evidence to save: annotate the approved citation alongside the six visual
landmarks that volition be checked in the next step.

Step 4: Generate from the approved image

Open Image to 3D and upload the approved reference. Keep the destination from
Step 1, note the generation way and apparent settings used, and choose Generate.
When the outcome appears in the 3D viewer, rotate and zoom before making a
judgment.

The inquiry has changed. The learner is no longer looking for an interesting
variation; the project is to inspect whether the example preserves the envelope-to-gondola
proportion, green band, compass emblem, copper rib layout, rear fins, and rear
propeller. An additional fin or a detached gondola is drift, not imaginative range. Fidelity is the
review mark here, not a guaranteed outcome of depiction input.

Portfolio evidence to save: grasp the uploaded citation beside the generated
result, alongside the identical six landmarks apparent anywhere possible.

Step 5: Inspect doubt and retry one variable

The two routes depart distinct uncertainties. Text input leaves additional area for
interpretation. A sole depiction leaves degree and unseen views unresolved. Check the
far side, gondola underside, suspension struts, tail-fin thickness, and propeller hub
rather than judging lone the forefront view.

Use White Model whenever texture distracts from the form. Turn on Wireframe when
topology allocation or exterior density needs inspection. Switch to Texture View for
the cream-and-green border and compass emblem. If a retry is necessary, change
one variable: explain the gondola proportion in the prompt, or substitute the sole image
with cleaner matching views for the rear and underside. Changing multiple inputs and
scoring rules together makes the second outcome difficult to interpret.

Portfolio evidence to save: grasp front, side, rear three-quarter, and rear views in
the identical display mode. Add one abbreviated note identifying the sole changeable changed
for the retry.

Step 6: Record the outcome and prepared the handoff

Save a abbreviated assessment document before export. Include the input route, exact immediate or
reference file, apparent generation option, date, chosen candidate, rejected-candidate
count, assessment notes, and apt corrections. Export lone following the asset fits its stated
use.

For a portfolio, brace the final example alongside one rejected outcome and a abbreviated reflection:
what the archetypal attempt revealed, what changed, what improved, and what motionless needs
manual work. A example accepted for storyboarding should not quietly become
"animation-ready" merely since the first assessment norm was forgotten.

Portfolio evidence to save: contain the final four-view sheet, the assessment record, export
settings, and a plainly tagged restrictions note.

Where this case fits

This case is fine suited to a pupil portfolio, stylized conveyance review, storyboards,
previsualization, and hard-surface game-asset ideation. Its silhouette is distinctive,
and the repeated landmarks create disagreements easier to resolve. It is not a
substitute for engineering validation, animation-readiness testing, or manufacturing QA.

Practical evaluation checklist

Input purpose: exploration or fidelity
Destination: storyboard, idea review, or game-prop ideation
Silhouette and stance
Part layout and distinctive features
Color blocking and exterior read
Hidden surfaces that necessitate inference
Reason for all retry
Estimated downstream correction effort
Prompt, reference, apparent settings, and date needed to reiterate the test
One declaration explaining what the project proves concerning the learner's judgment

What the final assessment should contain

At handoff, nobody should have to conjecture why one outcome was selected. Keep the
approved reference, rotatable model, route-specific notes, correction list, and step
screenshots together. Text input earns its location during scheme choices are open.
Image input earns its location whenever a citation needs to be matched. Neither route
wins by default.

In an interview, explain the case in four moves: the decision, the chosen input, the
review evidence, and the limitation. That answer shows additional expert judgment
than presenting a attractiveness render without a document of how it was made.

The base line

Text and depiction input resolve distinct moments in the identical job. Begin alongside the brief
while form is unsettled, move to the approved depiction whenever similarity matters, and keep the destination fixed throughout. For a learner, the strongest outcome is not
merely a generated airship. It is a repeatable case study that another individual can
inspect, question, and reproduce.

AMD's Zen 6 Family: Feeding the Beast

support@mycoding.id (Doris Putra) — Tue, 10 Nov 2026 18:02:32 +0700

Hello you fine Internet folks,

Today we’re looking at AMD’s next-generation Zen 6 CPU center family. We’ll examine the changes from Zen 5 and what the differences between Zen 6 and Zen 6c inform us concerning AMD’s method to microarchitecture.

Hope y’all enjoy!

From a bird's eye view, Zen 6 is the natural development of Zen5, alongside the enlargement of many OoO structures and iterative improvements established throughout the core.

Digging in deeper nevertheless tells a distinct story, alongside AMD heavily re-working multiple parts of the core, reminding me of the changes from Zen 1 to Zen 2.

At a elevated flat the changes AMD made to the entire figure schedules remain out, returning to a layout reminiscent of Zen 3 and Zen 4.

Zen 5 had the finest direction predictor of any center we have measured and Zen 6 apparently builds upon that identical direction predictor.

The biggest difference we do see is in what happens formerly the direction predictor gets overwhelmed. Both cores hit that partition in concerning the identical location and former it, the predictor is remaining guessing at random data, so the period per branch mostly reflects how lengthy the center takes to regain from a incorrect guess.

That plateau sits at approximately 3.5 to 4 ns of additional period per branch on Zen 5 and approximately 3 to 3.5 ns on Zen 6 so Zen 6 is paying small for all branch it gets wrong, which speaks to AMD reducing the latency of a branch mispredict compared to Zen 5.

Zen 6 has additionally improved the capability of the center to do 2 branches per sequence alongside Zen 6 capable to do 2 branches per sequence inside the L1 education cache.

When the footprint exceeds the L1i, afterward it falls to fair a sole branch per sequence for the remainder of the BTB apart from for the 64B test which goes up to 4 cycles per branch for the L2 BTB.

When comparing the BTB of Zen 6 to Zen 5, Zen 6 appears to have focused on improving the speed of the BTB compared to beefing up the capacity.

The accuracy of Zen 6’s Branch Predictor Unit is extremely akin to Zen 5’s during additionally being faster which is a fine item considering that Zen 5 already had a extremely exact Branch Predictor.

Zen 6 carries onward the identical dual decode collection schema that Zen 5 introduced but, dissimilar Zen 5 anywhere a sole thread could lone efficiently use a sole decode cluster, now alongside Zen 6 a sole thread can use the two decode clusters.

Outside of the L1i, Zen 6 looks extremely akin to Zen 5’s behavior on the education flank of things.

The implementation motor of Zen 6 is general extremely akin to Zen 5, but there are several crucial differences to be mindful of.

On the entire figure side, Zen 6 brings rear Zen 4’s NOP pairing behavior, retiring up to 16 NOPs per cycle. Zen 6 additionally comes nearer to theoretical highest throughput for uncomplicated entire figure instructions than Zen 5, sustaining 5.96 64-bit adds per sequence against Zen 5’s 5.25 alongside the identical six ALUs.

AMD has reduced the figure of entire figure multiply units from three to two, alongside PDEP and PEXT throughput additionally falling from three instructions per sequence to two. According to AMD, Zen 5’s third entire figure multiply component did not validate its area cost.

On the vector side, the floating-point units are unchanged, alongside Zen 6 motionless handling two 512-bit FADDs, FMULs, or FMAs per cycle. The alter is in VNNI, anywhere Zen 6 doubles the figure of units from two to four and our 512-bit VNNI test goes from 1.99 to 3.88 instructions per cycle, alongside Zen 6c matching it. VNNI instructions are helpful for operations akin calculating the inner iteration of quantized conclusion as fine as for video codecs using them for video filters as well.

Moving complete to the another notable change, Zen 5 could already execute four per cycle, but our test shows lone two of them could be vector loads, despite of if they were 256 or 512 bit loads. Zen 6 raises 256-bit loads to four per sequence on the two cores during leaving 512-bit loads at two, so the two widths now attain the identical 128 bytes per sequence which matters since most shipped vector code motionless targets AVX1/2.

In the former the difference between the Classic cores and the Dense cores in conditions of the architecture were, for all intents and purposes, functionally identical alongside the biggest changes being in the figure of cores on a CCD and the amount of L3 cache per core. With the Zen 6 family, that has changed.

Starting inner of the core, the changes happen following micro-op dispatch and apparently end following the burden queue.

The chief differences between Zen 6 and Zen 6c lie in the capacities of their out-of-order structures. Several of these structures are larger on Zen 6c, allowing it to keep additional activity in escape and assimilate additional latency than Zen 6. The reorder buffer grows from 576 to 640 entries, the entire figure enroll document from 288 to 352, the vector scheduler from 138 to 180, and the burden queue from 280 to 330.

The differences propose that AMD is specializing the two designs. Zen 6 appears tuned for elevated frequency, during Zen 6c has additional capability to tolerate comparatively elevated recollection latency.

Zen 6 and Zen 6c use 12-core and 32-core CCDs, respectively, but the two provision 4 MB of L3 cache per core. That gives the 12-core CCD 48 MB of L3 cache and the 32-core CCD 128 MB.

L3 latency has risen from concerning 47 cycles on Zen 5 to 55 cycles on Zen 6 and 66 cycles on Zen 6c. The larger caches and greater figure of mesh stops apt contribute to the increase. In nanoseconds, Zen 6’s higher clock hides most of the increase, at 10.7 ns against 10.3 ns on the Zen 5-based EPYC 9355P, during Zen 6c’s lesser clock and larger CCX put it at 16.4 ns.

Moving complete to bandwidth, we see that Zen 6 fixes Zen 5’s odd L2 bandwidth behavior, anywhere a center pulled lone concerning 42 bytes per sequence throughout most of the L2’s capacity, in Zen 6 the peruse way now reliably delivers 64 bytes per cycle. The remainder of the cache ranking is mostly unchanged in bandwidth per cycle.

Store-to-load forwarding is apparently unchanged from Zen 5 and is anywhere the behavior of Zen 6 and Zen 6c re-unify.

EPYC 9686F (Zen 6) STLF test

EPYC 9996 (Zen 6c) STLF test

Zen 5 STLF test

A 32-bit burden from the identical location as a 64-bit shop completes alongside efficiently zero latency which lets Zen 6 grip two reliant store-load pairs per cycle. Loads completely contained inside the shop complete in 7 cycles despite of alignment alongside partial overlaps costing 14 cycles, matching Zen 5.

The EPYC 9686F is near the top of our estimated single-threaded SPEC CPU 2026 results. It approximately matches the Ryzen 9 9950X3D2, AMD’s highest-end client CPU from the former generation, in entire figure charge and strikes it in floating-point rate. At a matched 4.1 GHz, the 9686F leads the 9950X3D2 by concerning 4% in entire figure and 11% in floating point, notwithstanding the X3D part’s much larger L3.

The EPYC 9996 is no slouch either. It approximately matches the previous-generation EPYC 9575F in single-threaded performance, notwithstanding operating at lesser clocks and having four times as many cores. It additionally edges out NVIDIA’s Vera in entire figure and leads it by concerning 20% in floating point.

The EPYC 9686F leads on nearly all subtest and finishes concerning 18% onward of the EPYC 9996 in the two suites. It scores 6.20 versus 5.25 in entire figure and 10.6 versus 8.99 in floating point, alongside several of its largest leads in 714.cpython, 766.femflow, and 772.marian.

Against the Zen 5-based EPYC 9575F, the 9996 scores 5.25 versus 5.13 in entire figure and 8.99 versus 9.01 in floating item during operating concerning 900 MHz slower. The 9996 additionally edges out the 9686F in 721.gcc and 765.roms, two subtests anywhere the 9686F’s higher clock provides no advantage.

Top-down breakdowns of pipeline slots on the two Zen 6 chips display anywhere the 9686F’s guide comes from. The integer-rate profiles appearance nearly identical in core-bound subtests. In 750.sealcrypto, 710.omnetpp, 735.gem5, and 753.ns3, retiring slots document for nearly the identical portion on the two chips, alongside differences of small than one percent point.

Memory-heavy subtests display larger gaps. Moving from the EPYC 9996 to the EPYC 9686F, backend recollection booths increase from 37.9% to 50.0% of pipeline slots in 729.abc, from 19.0% to 34.1% in 723.llvm, and from 24.8% to 33.2% in 708.sqlite. The portion of retiring slots falls accordingly. Zen 6c’s lesser clock and larger shared L3 cache may assistance explain its lesser memory-stall share.

The floating-point profiles appearance akin for most subtests. The retiring portion in 731.astcenc, 772.marian, and 767.nest differs by concerning one percent item or less, and 709.cactus spends complete fractional its slots stalled on front-end bandwidth on the two chips.

The larger gaps again appear in memory-heavy subtests. Moving from the EPYC 9996 to the EPYC 9686F, backend recollection booths increase from 42.5% to 55.3% of slots in 765.roms, from 60.9% to 67.6% in 749.fotonik3d, and from 17.8% to 33.8% in 782.lbm. These are additionally tests anywhere the 9686F’s higher clock helps least: it trails the 9996 in 765.roms, approximately ties in 749.fotonik3d, and leads by concerning 11% in 782.lbm, notwithstanding clocking up to approximately 29% higher.

Running the 9686F at 4.1 GHz to equivalent the 9996 removes the clock advantage, and the general image flips: the 9686F scores 4.92 and 8.64 at that clock, putting Zen 6c concerning 6.7% onward per clock in entire figure and 4% in floating point. At the identical clock speed, Zen 6 and Zen 6c appearance nearly identical in core-bound entire figure subtests. In 750.sealcrypto, retiring slots document for 67.3% of the total on the EPYC 9686F versus 67.6% on the EPYC 9996.The floating-point profiles additionally appearance akin in multiple subtests at matched clocks. Both chips expend complete fractional their pipeline slots stalled on frontend bandwidth in 709.cactus. Their retiring shares differ by concerning two percent points in 722.palm and 766.femflow.

The 9686F motionless spends a larger portion of its pipeline slots stalled on memory. Backend recollection booths document for 50.3% versus 42.5% on the 9996 in 765.roms, 24.9% versus 17.8% in 782.lbm, and 63.3% versus 60.9% in 749.fotonik3d. Zen 6c’s 128 MB L3 cache is apt serving additional of these requests than Zen 6’s 48 MB cache, reducing the need to admission chief memory.

The clearest difference is in frontend latency stalls, which document for a much larger portion of slots on the 9686F in subtests alongside ample codebases. In 727.cppcheck, that portion is 35.2% versus 16.6% on the 9996; in 721.gcc, it is 25.8% versus 10.0%. With clock speed matched and the two designs sharing the identical frontend, those booths most apt indicate differences in the cache and recollection hierarchy.

The floating-point profiles additionally appearance akin in multiple subtests at matched clocks. Both chips expend complete fractional their pipeline slots stalled on frontend bandwidth in 709.cactus. Their retiring shares differ by concerning two percent points in 722.palm and 766.femflow.

The Zen 6 Family improves upon its predecessor in assorted ways, an upgraded frontend allows one thread to utilize the two decoders, during a faster branch predictor makes it additional forgiving on misses, all tied together alongside larger OoO structures allowing it to improved conceal recollection stalls. All of this coming together to provision a generational uplift from Zen 5.

However, I think the additional engaging alter is the divided between Zen 6 and Zen 6c. The traditional and compact cores now differ inside the out-of-order engine, alongside Zen 6 appearing tuned for higher clocks and Zen 6c providing additional capability to assimilate latency. The shared basis is motionless clear, but those differences create the choice between them additional reliant on workload behavior.

The achievement results are encouraging as fine alongside the estimated single-threaded SPEC CPU 2026 scores, the EPYC 9686F leads the Zen 5-based EPYC 9575F by concerning 21% in entire figure and 18% in floating point. The EPYC 9996 approximately matches the 9575F notwithstanding operating concerning 900 MHz slower which are powerful results for the two center designs.

AMD’s answer to the classic-versus-dense inquiry used to be the identical center at two densities but now alongside Zen 6 it is two cores, all shaped for anywhere it volition run. That now leaves me wondering what AMD volition do alongside the Zen 7 Family and if we volition see equal additional specialization of the identical essential center scheme or if we volition see a larger divided of the designs.

Google Releases Modern Web Guidance 1.0 For AI Coding Agents

support@mycoding.id (Matt G. Southern) — Tue, 10 Nov 2026 18:00:00 +0700

Google issued type 1.0 of Modern Web Guidance, which is a liberated accomplishment set that web betterment teams may use as an enhancement to their AI coding tools, in command for those tools to compose code according to current browser features. The skills are in the form of packaged guidelines that the delegate volition appearance at during penning the code. The code generated by the delegate volition additionally be sent to the identical pages that are evaluated for metrics specified as Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and accessibility.

Philip Walton, a elder personnel developer relations engineer at Google, announced the publish in a Chrome for Developers post. Version 1.0 adds an audit for existing code, and Firefox and Edge are joining the project. Chrome archetypal released the direction as an early preview at Google I/O in May.

Teams can instal it by operating npx modern-web-guidance@latest instal in a project directory. It’s additionally accessible through the plugin marketplaces of most famous coding agents, according to the post.

What’s New In Version 1.0

Version 1.0’s audit volition go through a project’s HTML, CSS, JavaScript records as fine as its package.json to acknowledge areas anywhere developers are capable to safely update their code, afterward stroll the delegate through the changes. This archetypal repeat of the audit uses fixed inspection to appearance at a constricted figure of code patterns, according to the post.

The article says the archive now targets “hundreds of verified AI cognition gaps” throughout its guides. Additionally, current coding models continue to autumn abbreviated in Google’s tests of accessibility, safety headers, and loading precedence for scripts and images.

According to Google, all of the guides is now reviewed and approved by a domain tech lead. For user-facing characteristic guides there is a dedicated accessibility assessment done by experts who use assistive technologies daily.

A governance document was uploaded to the project’s GitHub repository on Nov. 9 which outlines six owner seats for the project. Two of those seats pertain to Chrome, Microsoft Edge and Mozilla all have one, and two are stated to autonomous web phase experts. There is currently one open autonomous place and no place belongs to Apple.

What Google’s Evals Measure

Google’s notice links to a community eval dashboard anywhere coding agents from Anthropic, OpenAI and Google run the identical set of tasks all night, alongside and without the guidance. A genuine browser afterward checks the DOM, styles and origin code of all completed app.

When I checked Tuesday morning, guided runs were passing 88% of the automated checks, whereas unguided runs were passing 56%. These figures are based upon all agent’s blended results for nightly runs completed Nov. 8; the range is 199 to 215 tasks per agent. The dashboard provides a constricted assessment (not a complete WCAG audit, it says) of accessibility features specified as assistance for keyboards, focus, and form labels.

Its project prompts don’t citation the guidance, so all delegate has to activity out on its own whenever a guide applies. In most of the latest suites listed, guided runs ran slower and burned additional tokens.

Accessibility adviser Adrian Roselli evaluated the preview in May by giving Antigravity (Google’s AI coding tool) an animated accordion immediate established in the documentation. However, according to Roselli, the output did not comply alongside WCAG and its animation was not functional in Firefox. He additionally established no assurance that agents would be capable to prosecute the guidelines. This was for the preview, not v1.0.

What Early Users Reported

The new guidelines were tested by Japan’s creator platform, note inc. using two coding agents that ran through six person interface (UI) tasks throughout 180 test runs on copy versions of note inc.’s manufacturing code base. As explained in a Chrome blog, the two agents’ scores on 19 browser checks rosy following installing the accomplishment without naming it in prompts, afterward again formerly prompts named it. Agent One went from 60.8% to 76.5% to 94.0%. Similarly, Agent Two had scores of 75.8%, 86.2%, and 90.0% under the identical three test conditions.

One of note’s tasks checked whether the largest depiction in perspective on an part leaf had elevated precedence and wasn’t lazy-loaded. The difference array in the article shows that unguided agents wrote champion depiction code using the two elevated precedence and lazy loading.

The direction is run by MetaMask, as part of an automatic assessment procedure for all drag petition submitted to its open-source browser extension, according to a second Chrome post. Through Oct. 21 (the archetypal five weeks), the bot identified 102 issues throughout 57 characteristic and fix drag requests. The engineers completely resolved 43 of them and partially resolved three of them. Another 16 were either declined or false positives. Twenty of them went unaddressed. The outcome of the another 20 is unknown.

Why This Matters

Modern Web Guidance provides a no-cost method for teams to advance agents penning code to use native browser capabilities and that includes code in existing bequest code bases. Most of the results that have been published are according to evaluation conducted by Google as fine as client evaluation that Google highlighted. Note Inc. tested the two agents using the identical immediate alongside and without telling them to use the guidance; they the two performed improved whenever the immediate did inform them to use the guidance. The squad can additionally tag their prompts to contain the direction and keep site data and manual accessibility evaluation in the review.

Looking Ahead

Google says it plans to develop this procedure of auditing existing code at several point, as fine as performing audits in which the delegate is reasoning concerning the genuine code being audited.

The business suggests pairing the direction alongside Chrome DevTools for agents to authorize the delegate to run its own created code and test it inner of the browser. Preview users can use the command npx modern-web-guidance@latest update.

Featured Image: Accogliente Design/Shutterstock

Source: Google.

Category News Web Dev SEO

Gemini 4 Carbon Available In Google Search AI Mode

support@mycoding.id (Barry@Rustybrick.com (Barry Schwartz)) — Tue, 10 Nov 2026 17:50:00 +0700

Google released Gemini 4 Carbon, its "strongest example alongside frontier achievement in cybersecurity capabilities and long-horizon agentic workflows throughout complex cognition work, application engineering, and specialized reasoning," and it is now accessible in Google Search via AI Mode for subscribers.

Google wrote that Gemini 4 Carbon is "rolling out to all Google AI Ultra subscribers in Google Antigravity, the Gemini app, and AI Mode in Search."

You can see the choice if you are a paid subscriber in the Google Search AI Mode selector:

Robby Stein from Google posted on X, "Shipping Gemini 4 Carbon in Search today for Google AI Ultra subs! With deeper reasoning & improved education following, you’ll get additional helpful responses for your toughest questions in AI Mode. I’ve loved using this internally – enthusiastic for additional group to try it out."

Rajan Patel from Google additionally posted on X amd wrote, "We're bringing our latest frontier example to Search! One item I really love: Gemini 4 Carbon improved understands your intent so you can have deeper rear and onward convos in Al Mode. Rolling out now to Google Al Ultra subscribers."

Glenn Gabe has been evaluation it and wrote on X, "I've been evaluation Carbon as part of the @GeminiApp first admission program. It's insanely powerful. E.g. I used it to build a new type of one of my favorite Atari 2600 games, Pitfall. I did that via one prompt. It took a few minutes and it worked perfectly. :) -> Google rolls out Gemini 4 Carbon to paid API and AI Ultra users two weeks following releasing it to cyber defenders, and previews a swarm characteristic in Antigravity."

Forum conversation at X.

We moved to Sweden for my husband's job 4 years ago. Now, we're struggling to keep the life we worked so hard to build.

support@mycoding.id (Michelle Clardie) — Tue, 10 Nov 2026 17:46:01 +0700

Courtesy of Michelle Clardie Our American family has loved construction a existence in Sweden, but we're not certain if we'll be capable to stay.

I've never had a issue alongside commitment.

I got wed at 18, and our association is motionless going powerful 23 years later. Ten years ago, I started my own endeavor and never looked back.

When item feels right, I don't discarded period keeping my options open. I go all in. So whenever my husband, Jarrod, got a video-game betterment job in Sweden in 2022, we committed.

We bought a home, enrolled our son in school, registered my business, and started learning the language. We made friends, shopped local, and got Swedish driver's licenses.

Unfortunately, none of that matters much whenever your visa is tied to an employer.

At first, moving to Sweden felt akin a astute scheme — and we adapted fine

Our move to Sweden wasn't an impulsive decision. Courtesy of Michelle Clardie

To be clear, uprooting our lives to live in another country wasn't a willy-nilly decision.

Before agreeing to the job and the move, we visited Skövde in individual and met alongside multiple founding members of Jarrod's prospective studio. It seemed as well-managed and stable as any equivalent studio can be, and Jarrod was enthusiastic to jump into the function as art director.

Plus, there were multiple another video-game studios in town. Video games can be a fickle business, and this meant there could be another local occupation opportunities if item went sideways.

We additionally checked out the schools and the accommodation market. We ended up purchasing a awesome residence on Billingen Mountain.

We bought a residence alongside adequate area for our entire family. Courtesy of Michelle Clardie

It's big adequate for two residence offices, a playroom, and a visitant area for our American family and allies — but alongside a small yard, so the care isn't overwhelming.

The pace equal has an apple tree alongside a sway that's the ideal size for our son, and he stops to perform on it all day whenever he gets residence from school.

As much as we missed our allies and family rear in the US, we spent the next few years settling into a beautiful life in Sweden.

Our son loves swinging all day whenever he gets residence from school. Courtesy of Michelle Clardie

We continued practicing the tongue and construction community — and got extremely acquainted to the affordable childcare and accessible healthcare.

We adapted to the seasons and local quirks, too. I created a sunset coffee regular to last the winter whenever the sun sets shortly following 3 pm And I bought blackout curtains for whenever the sun sets following 10 pm in the summer.

Soon, we learned how to bask Sweden in all season. Courtesy of Michelle Clardie

Sweden really became our home; a location we could ideate living in for the lengthy haul.

My husband's job defeat reminded us that the existence we had current was built on susceptible ground

After a few years, the forthcoming of the existence we had built in Sweden felt uncertain. Courtesy of Michelle Clardie

A few years later, whenever Jarrod's studio closed alongside small warning, we were reminded that our existence current was contingent on that job.

As Americans current on a work visa, equal homeownership doesn't aid us the correct to remain in Sweden. And alongside his particular permit, Jarrod was stated three months to discover a comparable stance or depart the country.

Unfortunately, the economics has shifted since we created our contingency plan. A ample percent of local equivalent studios had closed, and none of the remaining ones had art-director positions available.

We affection the existence we've built in Sweden but aren't certain if we'll be capable to keep it. Courtesy of Michelle Clardie

So, Jarrod's job hunt extended to surrounding cities, akin Gothenburg and Stockholm.

Unfortunately, finding another stance in an already struggling industry has proven harder than we'd anticipated. Plus, hiring a non-citizen feels akin a big ask since of the bureaucratic red strip and expenses that can arrive alongside it.

Thankfully, my endeavor earns adequate to shield our expenses. So equal before Jarrod's job hunt began, I contacted the Swedish Migration Agency agency to let them cognize we are self-sufficient.

Meanwhile, Jarrod began operating alongside multiple erstwhile colleagues to initiate a new equivalent studio, creating their own occupation opportunities in an industry anywhere jobs were disappearing.

However, until the studio can pay him a salary, that activity doesn't meet requirements as occupation for immigration purposes. Ultimately, the agency has asked us to leave, and we have formally appealed that decision.

I began wondering if it was naive of me to think we could build a existence in Sweden — perchance equal entitled.

We'd arrive current legally, paid taxes, learned the language, and bought a property. It was frustrating to awareness akin all of the ways we've unified into the nation complete the former years didn't appear to matter.

We're fighting to stay, but preparing to leave

Even if we can't remain in Sweden, I don't regret committing to a existence here. Courtesy of Michelle Clardie

For now, I'm continuing to run my endeavor in Sweden; my hubby is trying to build his; and we're operating through the petition procedure alongside the assistance of our local attorney to see if we can remain here.

Each period I inspect the mail, I clasp my breath. Best-case scenario: I get notified that our visa has been renewed for two additional years. Worst-case scenario: I discover a notice of denial and a lawful petition that we depart by a certain date. Most apt scenario: our Telia phone bill.

Despite everything, I don't think the instruction current is to live alongside reservations moving forward. Committing small wouldn't have made the final four years any better.

I don't cognize whether we'll get to remain in this nation — but I do cognize that whenever our son gets residence from academy tomorrow, he's going to halt for a sway under our apple tree.

And equal if our period current ends up being temporary, purchasing a residence and assimilating to existence in Sweden has been an unforgettable adventure for all of us.

Tesla has a very Tesla reason for killing off its sunroof option

support@mycoding.id (Ben Shimkus) — Tue, 10 Nov 2026 17:44:23 +0700

Tesla Tesla's cars all have a fixed pane rooftop option. Data told engineers they didn't need the opening to open.

Do you affection a small highway breeze blasting through the top of your car and ruffling your hair?

Then a Tesla may not be for you. The EV maker's current person models — the Model 3, Model Y, and the soon-to-be-discontinued Cybertruck — recommendation pane roofs that are fixed in place.

During an event of "Jay Leno's Garage" released on Monday, Franz von Holzhausen, Tesla's chief designer, explained why the movable pane rooftop panels formerly offered on the Model S are no longer available.

First, Tesla thinks the novelty wears off on drivers.

"I mean, we're a extremely data-driven company," he said. "We looked at the data and realized that group use the sunroof whenever they perchance archetypal get the car."

Second, nixing the sunroof makes cars easier to build.

Von Holzhausen stated Tesla's old motorized sunroofs were "really complicated" and that Tesla saw the features "in assistance fairly a bit." It was heavy, he added, and required a lot of parts to build.

Manufacturing simplicity is one of Tesla's center strengths. Its cars necessitate fewer parts and fasteners to build than its competitors.

This year, Tesla has taken several striking steps to create conveyance gathering lines equal additional efficient: In April, the business stopped making the Model S and Model X (the second of which CEO Elon Musk formerly called a "Fabergé egg," since of its complex design, including its signature falcon-wing rear doors).

Last week, Musk posted on X that it was winding downward manufacturing of the Cybertruck. On Monday, Musk stated part of that rationale was the "opportunity disbursal of the complexity of Cybertruck."

Leno, during strolling about a 2027 Model Y L alongside a fixed pane roof, compared tilting and beginning sunroofs to a residence hot tub: an breathtaking characteristic owners power use at first, but one that quickly loses its appeal.

"It's just, you know, a lot of parts to build it," von Holzhausen added. "If group aren't using it, why go through the hustle?"

In the latest Jay Leno’s Garage episode, Lars Moravy and Franz von Holzhausen explain why Tesla removed the beginning sunroof from the Model Y L. Jay specifically asks: “There’s no sunroof anymore, right?” Lars/Franz verify it has been omitted. Why they dropped it (per Lars): ✅ Tesla is data-driven: group lean to open the sunroof a lot in the archetypal week or so following purchasing the car, afterward nearly never use it again. ✅ It’s a complex, dense gathering alongside many parts that shows up frequently in service. ✅ Not value the disbursal and complexity if owners halt using it. What they did instead: ✅ Kept (and improved) the fixed panoramic pane roof. ✅ Added triple argent covering on the rooftop to improved indicate warmth and keep the division cooler. ✅ Major upgrades to the laminated pane layers so it rejects heat/sunlight and blocks UVB + UVA “like the finest sunscreen in the world.” ✅ Brought the rear pane all the way to the spoiler (more quadrate rear glass) for improved visibility. ✅ Used thicker/insulated pane general to cut division noise. ✅ Antennas are embedded in the pane so there’s no external rooftop antenna.
— The Tesla Newswire (@TeslaNewswire) November 9, 2026

I quit my job and invested my savings into building a loungewear brand. My TikTok followers have helped make it a success.

support@mycoding.id (Alyshia Hull) — Tue, 10 Nov 2026 17:42:52 +0700

Your browser does not assistance the video element.

Jimena Peck for BI Lexi Larson is the originator of Sunday Cherries, a loungewear brand based in Denver.

This as-told-to composition is according to a conversation alongside Lexi Larson, the 30-year-old originator of Sunday Cherries, a loungewear brand based in Denver. It has been edited for dimension and clarity.

Before launching my loungewear brand, Sunday Cherries, in first 2024, I worked remotely for a promotion agency. I needed a imaginative outlet, so I started posting TikToks concerning my existence and operating from home.

I was continually curious in video and social media, and I knew social media was a mighty tool I could use to initiate my own project, but I wasn't certain what benevolent of endeavor I wanted to start.

Then I noticed that whenever I wore a cute, cozy outfit in my videos, group would ask anywhere they were from. That gave me the idea to create loungewear that was comfortable but motionless made you awareness put together.

Jimena Peck for BI

I kept making vlogs, and in first 2024, I discontinue my job to concentration on construction my brand. My archetypal two years were mostly concerning figuring everything out. Thankfully, my followers were alongside for the ride.

I now awareness akin I established my groove. Here are the lessons I've learned alongside the way.

I started the brand alongside $50,000 from my savings

I put it into a distinct endeavor financial institution account, which became the Sunday Cherries account. The brand has been entirely funded from my savings. I've gotten a few offers from investors, but I discontinue my job since I didn't bask having group inform me what to do, and taking on investors felt akin having a chief again.

I was so nervous concerning my archetypal launch. I ordered concerning 300 hoodies and 300 sweatpants, and I idea there was no way I would market them all. That archetypal command disbursal about $24,000, which was a really scary invoice to pay.

I did concerning $35,000 in revenue that day, and everything sold out, which was crazy. It made me awareness akin there was a market for the brand.

Jimena Peck for BI

I sold out my archetypal initiate by including my audience

Being a content creator helped a lot. I brought my spectators into the procedure by sharing garments samples and asking what colors they liked, which made them awareness invested.

I think my followers enjoyed seeing person so transparent and open concerning the procedure of starting a brand and what it takes. Many brands current a ideal image, and you don't see item rearward the scenes.

I've learned how much inventory to buy

After my archetypal launch, I realized it would be concerning two months before I had additional stock. People would afterward sojourn the website and be unable to buy anything.

That taught me a lot concerning inventory preparedness and forecasting. When I archetypal started, I would command the minimum amount since I didn't cognize what would happen. I've since learned additional concerning what sells on my website and what colors, fabrics, and fits group want. I additionally obtain seasonality into account.

Now, I'm additional assured concerning ordering additional inventory whenever I think item volition do well.

Jimena Peck for BI

I've learned you can't authority everything that goes wrong

Manufacturing has likely been my biggest learning curve. In the beginning, I spent hours searching and established my manufacturer's website on approximately the third leaf of Google hunt results.

For my archetypal drop, I ordered hoodies that were expected to have a vintage, acid-wash finish. When they arrived, a lot of them were stained alongside bleach. I had to go through all hoodie and dispatch rear the damaged ones. It was extremely time-consuming, but the manufacturer fixed the damaged products.

Image courtesy of Lexi Larson

I've additionally had manufacturing delays. Recently, a pants command was expected to container out, but whenever the manufacturer sent me pictures of the completed products, I noticed the inseams were multiple inches too long. I had to halt the shipping procedure and have them go rear and update the inseam measurements, which pushed the initiate rear by a brace of weeks.

A brace of years ago, item akin that would've really stressed me out. I would've idea the endeavor was complete and that I was going to endure all my money. Now, whenever item akin that comes up, I'm additional apt to think, let's agreement alongside it and move on.

I've learned to outsource

When I started, I rented a 250-square-foot storage area and would go there all day to put inventory on the shelves, group orders, and container them out. It was a full-time job in itself. Eventually, I realized I couldn't activity on item alternatively since I was spending too much period in the warehouse.

In March 2026, I switched to a logistics business that handles receiving inventory, picking and packing orders, and shipping them out. It's saved me a lot of time.

I've never hired anyone as a salaried employee, but I activity alongside multiple freelancers and contractors. I'll discover inspiration pictures of a scheme I desire to create and dispatch them to my tech group designer. She takes my design, creates a CAD model, and compiles the measurements so the manufacturer knows how to create the garment.

I additionally have person locally who helps me alongside content. I concentration on my page, and she helps me alongside filming and editing for the Sunday Cherries pages.

One item I'm glad I did is build an email list

I watched videos concerning how to commencement a business, and one item I kept hearing was that your email list is among the few things you own. On social media, your document could be deleted tomorrow, and you'd endure everything.

Before launching my products, I built my email catalog to concerning 15,000 people. From the extremely beginning, I was posting concerning it and trying to get as many group as I could to sign up.

Jimena Peck for BI

The biggest instruction I learned: You don't have to cognize everything before you start

I held myself rear for a lengthy period since I felt akin I needed additional experience, but I realized you're never going to awareness 100% prepared, and there's no way to evade all matter or mistake. You fair have to decide, start, and be assured in yourself to keep going.

Some months, I bring in $50,000 to $60,000 in sales, and the next duration it could be zero. It's been extremely up and down.

Thankfully, my social media earnings is adequate to pay my bills, so I'm not taking any prosperity out of the brand yet. I'm reinvesting everything into ordering additional products, improving the website and fit, and creating new products.

Alyshia Hull is a erstwhile endeavor contributors chap who now contributes as a freelancer. She chiefly focuses on business, travel, van life, and workspace verticals. Alyshia is a alumnus of SUNY Oswego alongside a flat in journalism. You can nexus alongside her on Twitter and Instagram.

How Law Firms Can Structure Content for AI-Powered Search

support@mycoding.id (Board Infinity) — Tue, 10 Nov 2026 17:42:01 +0700

Criminal defence searches frequently commencement alongside a extremely particular concern. Someone may ask an AI tool what happens following a DUI apprehension in Phoenix. Another individual power desire to cognize whether a felony accusation in Dallas requires an attorney at the archetypal hearing. The inquiry can contain a charge, a city, a court, or all three.

That makes GEO for offender defence lawyers additional than a matter of improving traditional hunt rankings. Criminal defence websites need a apparent construction that helps group discover answers to particular lawful questions. Organizing satisfied about charges, court procedures, and connected topics gives all leaf a defined intent and helps readers move logically between subjects.

Start With Questions People Actually Ask

Legal websites frequently rotate into too focused on broad phrases specified as “criminal defence attorney.” Those conditions matter, yet they don't grasp the questions group ask before choosing a lawyer.

A individual may search:

What happens at an arraignment?
Can a DUI guide to jail time?
What happens following a medication possession arrest?
Do I need a attorney for a misdemeanor?
Which court handles this charge?

Each inquiry points to a distinct need. A leaf that tries to answer all of them at formerly can rotate into vague or difficult to follow.

One leaf power explain arraignments. Another could concentration on DUI charges. A distinct asset power shield medication possession. The satisfied should answer the chief inquiry early, afterward provision the particulars a audience is apt to need next.

Explain Legal Procedures in Plain Language

Criminal law contains plentifulness of conditions that create awareness to attorneys but can confuse everyone else. “Arraignment,” “probable cause,” “indictment,” “pretrial motion,” and “sentencing” may be acquainted to a lawyer. A first-time accused may have no idea what they mean.

A powerful leaf explains the term before using it repeatedly. For example, a division concerning arraignment could explain what the hearing is, what normally happens there, why the accusation is presented, how a plea may be entered, affirmative what questions could follow. That construction helps a individual comprehend the procedure without requiring a lawful background.

It additionally gives AI systems apparent relationships between concepts. The leaf identifies the procedure, explains its purpose, afterward connects it to the next phase of the case.

Give Each Jurisdiction Its Proper Context

Criminal law is extremely reliant on location. A regulation that applies in Arizona may not use in Texas. Court procedures can differ from one jurisdiction to another. Even a average accusation may transport distinct consequences depending on anywhere a case is filed. That makes local environment particularly important.

A leaf concerning DUI defence should acknowledge the applicable jurisdiction whenever discussing laws or procedures. A location leaf should provision genuine local data fairly than swapping one city name for another type of the identical text.

This additionally helps forestall overly broad lawful statements. Instead of saying, “A DUI continually results in a licence suspension,” satisfied can explain that consequences depend on the applicable law, the facts, and the particular jurisdiction.

Make the Website Easy for Machines to Read

Good construction helps group first. It can additionally assistance hunt systems construe a page. Use descriptive headings. Keep connected data together. Break lengthy explanations into logical sections. Put questions beside straightforward answers. Link connected custom areas anywhere the association is useful.

Accurate schema markup may assistance acknowledge attorneys, organizations, locations, services, and another entities on a page. It isn't a justify of an AI citation, yet spotless construction removes several ambiguity.

The identical regulation applies to inner links. A leaf concerning felony charges could item to applicable attorney data or a connected clarification of the court process. Those connections assistance established how distinct pieces of the location connect to all other.

Accuracy Matters More Than Publishing More Pages

Chasing a particular AI outcome can rotate into a losing game. A improved method is to keep data that remains helpful whether person reaches it through Google, an AI assistant, a directory, or a straightforward visit. Review lawful satisfied regularly. Check jurisdiction-specific statements. Update attorney credentials. Remove data that is no longer correct.

For offender defence firms, the strongest GEO basis is fairly simple: explain the law clearly, acknowledge the attorney accurately, provision genuine local context, arrange the location logically, afterward keep the data current.

AI systems may construe that data in distinct ways. No outcome is guaranteed. What can be controlled is the norm of the community data accessible for them to understand.

.name Grandfathered

support@mycoding.id (Riki Setiawan) — Tue, 10 Nov 2026 17:37:44 +0700

Comments

Paul McCartney is a billionaire. He joins these musicians in the elite club.

support@mycoding.id (Gabbi Shaw,Callie Ahlgrim) — Tue, 10 Nov 2026 17:36:37 +0700

Paul McCartney and Rihanna, two billionaires. Kevin Mazur/Getty Images

Even although he famously formerly sang that prosperity can't buy him love, Paul McCartney can beautiful much buy item alternatively — Forbes officially estimates his net value is now at $1.4 billion.

He joins a small collection of musicians whom Bloomberg or Forbes have estimated to be billionaires, including Taylor Swift, Rihanna, Beyoncé, and Jay-Z. Before Jimmy Buffett's death in September 2023, he was additionally part of this association gratitude to his Margaritaville empire.

Here's how the wealthiest living musicians made their fortunes.

Paul McCartney is not lone a knight, but a billionaire.

Paul McCartney in 2026. Raimonda Kulikauskiene/Getty Images

In the archetypal matter of Forbes' newsletter, "The Billie," in November, the outlet stated that McCartney, 84, is value $1.4 billion.

The erstwhile Beatle has been extremely open concerning how the band's archetypal agreement was akin to a "slave contract" and "no matter how prosperous we made the company, we didn't get a raise."

Since he knew additional prosperity was in music publishing, he cast the music licensing business MPL Communications in 1969. McCartney holds the licensing entitlements to thousands of songs, not fair his own.

You can hunt the company's mammoth repository to see anywhere the music it owns has ended up — in everything from "The Kardashians" to "Fellow Travelers" to Ford commercials. Forbes estimates the endeavor is value concerning $250 million.

Of course, The Beatles' catalog is additionally a prosperity maker, which he has spent years getting rear under his control. He splits that prosperity evenly alongside Ringo Starr and the estates of John Lennon and George Harrison.

Those two huge components, affirmative the millions he's made from decades of touring, a significant art collection, and asset throughout the UK, have made this kid from Liverpool the third-richest musician in the world, lone rearward Jay-Z and Taylor Swift.

Dr. Dre is equal parts musician and businessman.

Dr. Dre in 2025. Paras Griffin/Getty Images for BET

Forbes reported that musician Dr. Dre became hip-hop's second billionaire in April 2026, alongside a reported net value of $1 billion.

In supplement to his decades of rapping and producing under his tag Aftermath Entertainment, Dr. Dre is additionally known for cofounding the consumer-electronics brand Beats by Dre, which makes headphones and earbuds. He sold Beats to Apple in 2014 for $3 milliard in prosperity and stock.

The erstwhile N.W.A associate has additionally dabbled in acting, had a manufacturing business called Crucial Films, and has an liquor brand alongside collaborator Snoop Dogg, called Gin & Juice by Dre and Snoop.

Beyoncé is the latest female musician to attain billionaire status.

Beyoncé accepted the award for finest nation gathering at the 2025 Grammys. Kevin Winter/Getty Images for The Recording Academy

Less than 10 years following Beyoncé famously sang, "I fair power be a Black Bill Gates in the making," she was named a billionaire.

Beyoncé's already-formidable net value surged following a brace of prosperous tours: The 2023 Renaissance World Tour, which grossed nearly $600 million, and the 2025 Cowboy Carter Tour, which Forbes described as "the most prosperous achievement tour" in the former of nation music.

In supplement to live performances and lucrative goods sales, Beyoncé has spent decades construction her endeavor empire. She founded Parkwood Entertainment in 2010, followed by a garments line, Ivy Park, a hair-care brand, Cécred, and a whiskey label, SirDavis.

Nevertheless, as Forbes reports, the bulk of Beyoncé's fortune remains established in her music. Beyoncé controls the entitlements to her valuable gathering catalog, from 2003's "Dangerously In Love" to 2025's "Cowboy Carter" and beyond. All manufacturing expenses for her music, documentaries, and concerts are handled in-house through Parkwood.

"When I decided to oversee myself, it was crucial that I didn't go to several big administration company," Beyoncé said during promoting her 2013 self-titled album. "I felt akin I wanted to prosecute the footsteps of Madonna and be a powerhouse and have my own empire and display another women whenever you get to this item in your career, you don't have to go sign alongside person alternatively and portion your prosperity and your achievement — you do it yourself."

Beyoncé's husband, Jay-Z, accumulated prosperity through a assortment of ventures.

Jay-Z at the 2024 premiere of "The Book of Clarence." Monica Schipper/WireImage

Jay-Z has been following mogul position for complete three decades. As of November 2026, Forbes estimates Jay-Z's net worth to be $2.8 billion, making him the richest musician on this list.

The East Coast rapper founded Roc-A-Fella Records in 1995. Since then, Jay-Z has started his own sports agency, Roc Nation Sports. He bought and sold the music streaming phase Tidal, netting himself $149 million, according to a 2021 Forbes report.

He owns stakes in the Champagne brand Armand de Brignac and the Cognac brand D'Ussé. His umbrella company, Roc Nation, has inked a multimillion-dollar alliance alongside the NFL. The catalog goes on.

All that, in supplement to his extremely famous discography, has contributed to his huge wealth.

Swift's longtime finest friend, Selena Gomez, was named a billionaire by Bloomberg.

Selena Gomez at the 2023 MTV Video Music Awards. Gilbert Flores/Variety via Getty Images

In September 2024, Bloomberg estimated Selena Gomez's net worth to be $1.3 billion, mostly gratitude to her composition brand, Rare Beauty.

However, Forbes has estimated Gomez's net value at approximately $700 million, citing reported cash-flow issues alongside Wondermind, the startup Gomez cofounded in 2021 alongside her mother, Mandy Teefey, and entrepreneur Daniella Pierson.

Still, Forbes reports, "Gomez's biggest asset is her estimated 51% interest in Rare Beauty." The vegan and cruelty-free brand is extensively recognized as one of Sephora's biggest money-makers and most famous community fig attractiveness lines; the cult-favorite blush solitary generated $70 myriad in 2022.

In supplement to her achievement as a businesswoman, Gomez is a celebrated actor. She has been nominated for multiple Golden Globes for the hit Hulu wit series, "Only Murders in the Building." She was additionally nominated for a Golden Globe for her supporting function in the 2024 movie "Emilia Pérez."

Gomez administrator produces many of her own projects, including "Only Murders," HBO Max's "Selena + Chef," and Disney Channel's "Wizards Beyond Waverly Place," a sequel to the display that made Gomez celebrated as a teenager.

Gomez began releasing albums during leading on "Wizards of Waverly Place" via Disney's Hollywood Records. Since signing a new agreement alongside Interscope in 2014, Gomez has released multiple solo albums and a fistful of top-10 hits. Her latest album, "I Said I Love You First," is a collaboration alongside her husband, Benny Blanco.

Taylor Swift's Eras Tour was the archetypal achievement tour in former to income $2 billion.

Taylor Swift during the Eras Tour in Liverpool. Gareth Cattermole/TAS24/Getty Images

Bloomberg reported that Taylor Swift became a billionaire in October 2023. Forbes corroborated this study in April 2024, concerning midway through her record-smashing Eras Tour. By the end of its two-year run, the Eras Tour became the archetypal in former to income $2 billion.

Swift redistributed a important part of her touring profits to her crew, reportedly handing out $197 myriad in bonuses alone. She continued to donate millions to charitable organizations through 2025, including Feeding America, the American Heart Association, MusiCares, ACM Lifting Lives, and the CMA Foundation.

Unlike many of her peers, Swift's prosperity comes solely from her — she doesn't have any lucrative flank hustles. Swift's sizable net value estimates are mostly according to the value of her musical catalog, which she owns outright. Swift's 12th studio album, "The Life of a Showgirl," sold complete 4 myriad copies in its debut week, smashing the single-week gathering revenue record and finishing the twelvemonth as the top-performing gathering on the Billboard 200 chart.

As of November 2026, Forbes estimated Swift's net value to be $2 billion.

Bruce Springsteen earned $500 myriad from the transaction of his music catalog to Sony in 2021.

Bruce Springsteen alongside The E Street Band in 2023. Sergione Infuso/Corbis via Getty Images

Over 50 years following The Boss released his archetypal album, "Greetings from Asbury Park," the New Jersey legend was named a billionaire by Forbes. As of November 2026, Forbes estimates Bruce Springsteen's net value to be $1.2 billion.

As Variety reported, much of Springsteen's prosperity comes from the 2021 transaction of his music catalog to Sony for $500 million.

In supplement to that mega-sale, Springsteen is continually on the road, earning prosperity from his packed touring agenda alongside the E Street Band.

Rihanna has made most of her fortune alongside Fenty Beauty and Savage X Fenty.

Rihanna in 2022. Rich Fury/Getty Images

Forbes estimates Rihanna's net worth to be $1 billion.

Despite Rihanna's decadelong reign as a hitmaker, she hasn't released an gathering since 2016's "Anti," which method that most of her prosperity is from her two eponymously named brands: Fenty Beauty, which she co-owns alongside the French luxury products conglomerate LVMH, and Savage X Fenty, a lingerie brand.

Since its first initiate in 2017, Rihanna's Fenty portfolio has expanded to contain Fenty Skin, Fenty Hair, and Fenty Fragrance. Rihanna was additionally named Puma's imaginative director in 2014.

I tried cheesecakes from Costco, Trader Joe's, Whole Foods, and Walmart. There's just one I'd buy again.

support@mycoding.id (Ivy Carbone) — Tue, 10 Nov 2026 17:35:31 +0700

Ivy Carbone After trying four distinct options, I established the finest store-bought cheesecake.

I'm a big fan of New York-style cheesecake — a traditional dessert known for its dense, tangy cream-cheese filling, typically set atop a graham-cracker crust.

However, baking one at residence can effortlessly obtain hours, and a trip to a small bakery isn't continually an option.

So, I picked up four grocery-store versions from Whole Foods, Walmart, Costco, and Trader Joe's to discover out which ones really provision that traditional cheesecake taste. Here's how it went.

The Trader Joe's cheesecake came frozen.

I waited two hours for the Trader Joe's cheesecake to defrost. Ivy Carbone

Trader Joe's 30-ounce New York-style cheesecake disbursal fair under $8 and was the lone one in the bunch that came frozen.

This was a bit of a bummer since I waited two hours for it to defrost before trying it. However, I was enthusiastic to see if this would power the sensation at all.

Unfortunately, I didn't think this cheesecake had much flavor.

I wasn't a fan of the cheesecake from Trader Joe's. Ivy Carbone

When I took a bite, I idea the sensation was faint at best, alongside none of the tang or richness that makes New York-style cheesecake so iconic. I equal had another family members try it alongside me, and they weren't impressed.

Plus, I idea the crust-to-filling proportion was off, and there wasn't adequate of the genuine filling for my liking.

Even although it was the cheapest choice by ounce, I wouldn't buy it again.

At archetypal glance, the Whole Foods cheesecake looked the best.

The Whole Foods cheesecake was topped alongside berries and cream. Ivy Carbone

The 40-ounce Whole Foods cheesecake disbursal $27, and had flecks of vanilla bean throughout. It was additionally beautifully topped alongside berries and cream.

The crust seemed thin, but the pie itself looked delicious, and I was enthusiastic to dig in.

However, I was disappointed by the taste.

There were small flecks of vanilla bean in the filling. Ivy Carbone

Once I took a bite, I idea the filling tasted additional saccharine than tangy, and it lacked the compact creaminess I anticipate from a New York-style cheesecake. Instead, it was light, mousse-like, and not at all that cheesy.

The crust wasn't bad, but it didn't have a powerful graham-cracker taste, either.

Because this pie was the most costly on a per-ounce basis, I expected additional flavor. So, ultimately, this cheesecake was a young female for me.

The Walmart cheesecake looked promising.

I paid $13 for a 40-ounce cheesecake from Walmart. Ivy Carbone

I bask most of Walmart's food products, so I was enthusiastic to try this presliced 40-ounce New York-style cheesecake, which disbursal $13.

The filling was beautiful good, but I didn't affection the crust.

The crust seemed to be a bit oily. Ivy Carbone

The texture of the cheesecake filling seemed heavier than the others I tried, and I idea it was a decent choice for the price. The sensation was a bit mild, but overall, it was beautiful good.

My biggest matter current was the crust. It was thin, floury, and remaining several apparent grease at the base of the pan.

Costco's cheesecake came alongside frosting on top.

The Costco cheesecake had a ruffled, piped border. Ivy Carbone

The Costco cheesecake was the lone choice that came alongside frosting, complete alongside a ruffled, piped border. It additionally came pre-marked for ideal slicing, although it was tricky to get a spotless cut.

At lone $20 for a whopping 72 ounces of cheesecake, I idea the cost for specified a enormous pie was difficult to beat.

I loved how dense, creamy, and tangy this cheesecake was.

The cheesecake from Costco was my favorite. Ivy Carbone

The Costco cheesecake was additionally the lone choice not specifically marketed as New York-style, but I idea it tasted authentic. It was dense, creamy, and tangy.

The crust additionally nailed the classic, buttery, graham-cracker flavor. Although it was a small lean for my liking, it held the filling well, which impressed me.

The lone disadvantage was the sugary frosting on top, which felt unnecessary and distracted from the genuine cheesecake filling.

However, it was certainly my favorite choice overall, and for the price, I idea it was a awesome value.

This narrative was initially published on February 26, 2026, and most lately updated on November 10, 2026.

Tailscale's DNS IPv6 spells out "Tailscale"

support@mycoding.id (Riki Setiawan) — Tue, 10 Nov 2026 17:34:45 +0700

You've been blocked by network security.

To continue, log in to your Reddit document or use your developer token

If you think you've been blocked by mistake, document a ticket below and we'll appearance into it.

Ring's New $250 Indoor Camera Drone Sounds Terrifying

support@mycoding.id (Joel Cunningham) — Tue, 10 Nov 2026 17:32:58 +0700

Joel Cunningham is Lifehacker’s Deputy Editor. He has 15 years of cognition as a author and editor. Previously, he was managing publishing company of satisfied promotion for Barnes & Noble, anywhere he founded the Barnes & Noble Sci-Fi & Fantasy Blog.

Ring made its name alongside its astute doorbells alongside built-in cameras, and now sells additional indoor cameras than any another company, capturing additional than 40% of the market. When you've already moved tens of millions of devices (enough to raise grave concerns concerning their use as part of the surveillance state), you continually need to keep innovating, and today, the business announced a merchandise it has been operating on for a decade: an indoor camera drone powered by synthetic intelligence. I got a chance to inspect it out during a media event yesterday, and I can study that, as harbingers of our dystopian forthcoming go, it is lone gently terrifying.

Ring is launching a new row of camera robots

The drone camera is one of two products in the company's new Ring Robotics line, alongside a "rover cam" that looks benevolent of akin the canister of a vacuum cleaner attached to an iPad. While the Ring Rover Cam is priced at $999.99 and targeted at businesses, the Ring Drone Cam is a much additional affordable $249.99, sensible adequate that it volition petition to consumers looking for another way to keep (robot) eyes on their stuff.

The drone camera records 2K video and has a 148-degree site of perspective and the capability to rotate 360 degrees. It plant alongside existing Ring cameras, doorbells, sensors, and alarms, as fine as the Alexa Home Map. It has a escape period of eight minutes, and formerly it returns to its basis station, it takes about an hr to completely recharge (eight minutes on the dock volition provision it one infinitesimal in the air).

The Ring Drone Camera relies on AI

As Ring originator Jamie Siminoff explained during the preview event, the business has been trying to build a workable camera drone for about a decade, but couldn't conquer certain scheme challenges until the advancement of AI models that authorize the equipment to grip most of the computing—from path programming to danger detection—via the cloud, so the drones can be smaller and lighter.

According to Ring, whenever environment up the Ring Drone, you transport it about your house, allowing it to map the interior. It volition "intelligently acknowledge rooms and propose patrol points: spots value additional attention." When sent out on "patrol," the drone's AI aviator volition journey between hotspots, sensing and avoiding furnishings and another obstacles alongside the way.

The Ring Drone plant alongside another Ring cameras, so if an vigilant is triggered location in your home—say, a opening beginning unexpectedly—the drone volition obtain off to investigate. It has a built-in safety ray that volition create its existence known, so it can additionally act as a deterrent, although the screaming audio of its spinning propellers volition accomplish that fair as well.

According to Ring, the drone camera can provision harmony of intellect whether you're residence or away, and admittedly I do akin the idea of being capable to inspect on my pets or create certain no pipes have burst during I'm at activity or on holiday (though admittedly you can get the identical kind of monitoring without involving an AI equipment that looks akin a mini type of the flying robots from The Terminator).

What do you think so far?

The unsettling audio of security

I acknowledge that the Ring Drone Camera seems beautiful cool, provided I don't think concerning it too much. I don't cognize that I really awareness the need to have all inch of my residence covered in safety cameras, but I do akin the idea that the drone could, for example, go to inspect out what's going on if one of my fume alarms' heat sensors reports that one place in the home is all of a abrupt hotter than it should be.

But there's item slightly unsettling to me concerning the idea of a robot operating my residence during I sleep. Yes, I cognize that there are privacy and safety features in place—Ring says the videos its robots grasp is protected by its "strongest default encryption yet"—but it's additionally yet one additional example of how comfortable we've all gotten alongside cameras being entirely everywhere, to the item that group think nothing of putting them all complete their homes. (This is likely why I don't own a robot vacuum.)

And it doesn't assistance that the drone appears entirely terrifying, which Ring claims is by design: "If someone’s there who shouldn’t be, a flying drone overhead...makes it apparent they’ve been spotted. [The] devices are built to deter, not fair monitor." True enough, but there's additionally no getting about the fact that drone propellers are unavoidably loud, and the audio of the Ring Drone Camera reminds me of nothing additional than the screeching violins in a fear movie. (Note that the drone we were shown was white, but the final type sold volition be dreary grey.)

When you can buy the Ring Drone Camera

If you're prepared to act this brave new earth of security, you'll have to delay a bit longer: The Ring Drone Camera isn't expected to container until January 2027, but you can sign up to be alerted whenever it is accessible for preorder now.

Covering e-readers, social media, entertainment, and more.

eBay appears to have shut the door on third-party AI agents

support@mycoding.id (Mia Sato) — Tue, 10 Nov 2026 17:20:30 +0700

eBay appears to have blocked AI agents, including Meta’s Muse, from browsing on the phase — the latest speed bump in the AI delegate race.

A audience tells The Verge that for multiple weeks he’s had his Muse delegate browse and curate a regular digest of watches for transaction on platforms akin eBay, including a nexus to listings, price, shipping details, and applicable notes concerning circumstance or style. This weekend, though, Muse was unable to drag any links or particulars from eBay, alongside Muse saying it was blocked from the site. The Verge was capable to re-create the cognition using another hunt requests, and in several cases we established that Muse alternatively directed users to exterior sites that mirrored eBay listings.

Shopping is frequently invoked as one area anywhere AI agents can augment or enhance the human-driven experience. Technology companies tout the use of agents to publish travel, discover deals, and equal acquisition products and services on behalf of humans. But AI agents are regularly getting blocked from accessing retailers’ sites, calling into inquiry how helpful they can really be.

eBay earlier updated its person accord to ban the use of tools akin “buy-for-me agents” and “LLM-driven bots” that location orders without individual review. Until recently, though, agents akin Muse were capable to browse the location and drag listings for users.

AI is becoming embedded throughout the phase for the discovery, personalization, and marketing process, eBay spokesman Sybille St. Arromand told The Verge in an email. St. Arromand declined to immediately answer whether eBay lately imposed new limits on AI agents.

“As it pertains to third-parties, we obtain a selective method to how they admission and engage alongside our marketplace. We have restricted delegate admission in certain cases, including unauthorized abrasion and training on our data,” St. Arromand said. “We have ongoing discussions alongside possible partners and are evaluating ways third-party agents could assistance new customers detect eBay’s unmatched inventory, and our concentration is on preserving the trusted end-to-end cognition that buyers and sellers anticipate from eBay.”

Meta declined to comment.

Retailers and assistance providers who’ve enthusiastically added AI features to their platforms have shown varying levels of comfort alongside third-party agents accessing their sites. On one end of the spectrum is Amazon, which is blocking external agents entirely from browsing or shopping. Some retailers akin Target have restrictions in location that authorize agents to successfully browse in several instances but get blocked in others. Shopify, meanwhile, has opened its catalog of a milliard listings so that shoppers can set up their agents to acquisition items on their behalf.

Throwing agents into the e-commerce mix has the possible to upend how group shop online, partially since retailing sites are mostly assuming they’re marketing to humans, alongside individual limitations, and not swarms of bots. For example, The Verge discovered in October that person could use Muse to efficiently clasp merchandise listings hostage on The RealReal, a secondhand decorator consignment site, by having an delegate continually add the merchandise to the user’s cart. The RealReal updated its bot system following The Verge’s reporting.

But as retailers tweak their sites in genuine period to grip bots, it remains unclear how general agentic commerce is. In fact, there are signs that most group are not using AI this way. Uber said it fulfilled lone four rides via third-party agents in Q3 and lone about 500 Uber Eats orders during the week of Halloween. DoorDash likewise said it fulfilled lone “several hundred” orders placed via third-party agents. It reported 993 myriad total orders final quarter.

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Mia Sato

Restaurant Chains Are Hungry for a Comeback. Can This Change Bring Diners Back?

support@mycoding.id (Sherin Shibu) — Tue, 10 Nov 2026 17:20:24 +0700

Key Takeaways

Restaurant chains are betting that better-tasting food volition win rear increasingly selective diners.
Chains akin Chipotle and Wendy’s are making upgrades to their list as part of their turnaround plans.
At Burger King, list changes drove poultry nugget revenue up by additional than 35%.

Restaurant chains are putting their menus forefront and center as they activity to bring rear customers.

The shove comes as Americans eat out small frequently and rotate into additional selective concerning what they expend their prosperity on, according to Black Box Intelligence data cited in a new CNBC report. On quarterly earnings calls in latest weeks, executives at Wendy’s, Chipotle Mexican Grill and another chains highlighted changes already reaching customers or headed to menus.

Discounts and limited-time deals can diagram a crowd, but chains are counting on sensation and norm to rotate those visits into reiterate business. Additionally, company chefs are taking a bigger function in the combat for diners as companies appearance for an border beyond promotions.

At Chipotle, that includes another run for its limited-time brisket, which returned to menus final week.

“We think the product’s improved and equal better,” CEO Scott Boatwright told analysts on the company’s late-October earnings call.

Better food can contribute to higher sales

At Wendy’s, a list overhaul is part of a broader attempt to boost sales. The sequence unveiled a five-part turnaround plan final week, which includes a commitment to provision “quality food at genuine value.”

CEO Bob Wright told analysts that Wendy’s is evaluation changes to several of its staples, including thicker, crispier bacon, a richer and creamier Frosty, whole-leaf lettuce for sandwiches and revamped salads.

“We’re additionally rebuilding our food offerings and have begun evaluation improvements to norm and craveability of our center items,” he said.

The sequence is intent on winning rear customers as it contends alongside lackluster sales. Last week, Wendy’s reported a seventh successive fourth of declining same-store sales.

Using the identical playbook

A formula overhaul can assistance revive a eatery business. For example, Domino’s rebuilt its pizza offering in 2009 alongside a new sauce, garlic-seasoned crust and improved dairy merchandise combination. The business afterward aired candid ads acknowledging complaints that its old crust tasted akin cardboard and its condiment resembled ketchup. The formula changes and promotion shove helped run a 9.9% addition in Domino’s U.S. same-store revenue in 2010, per CNBC.

Now, several of the group rearward the Domino’s comeback are using the identical playbook at Burger King’s U.S. locations.

At Burger King, improvements to list staples are a chief part of its multiyear turnaround effort. The sequence began alongside the Whopper before this year, introducing an upgraded bun and new mayonnaise. In September, it turned to poultry nuggets, rolling out a type made alongside 100% pale meat, crunchier breading and a additional flavorful marinade, alongside reformulated sauces.

“We’ve tried to appearance at our biggest categories first,” Josh Kobza, CEO of Burger King genitor Restaurant Brands International, told CNBC.

The attempt is paying off. Burger King reported an 8.4% addition in U.S. same-store revenue for the third quarter. Sales of the Whopper rosy by a double-digit percentage, during poultry nugget revenue surged additional than 35%, Kobza told analysts on the company’s late-October earnings call.

Key Takeaways

Restaurant chains are betting that better-tasting food volition win rear increasingly selective diners.
Chains akin Chipotle and Wendy’s are making upgrades to their list as part of their turnaround plans.
At Burger King, list changes drove poultry nugget revenue up by additional than 35%.

Restaurant chains are putting their menus forefront and center as they activity to bring rear customers.

Blender 5.3 released with Gaussian Splat support

support@mycoding.id (Riki Setiawan) — Tue, 10 Nov 2026 17:15:43 +0700

New features overview by Jonathan Lampel and Wayne Dixon from CGCookie.

Welcome native 3D Gaussian Splats assistance to Blender 5.3!

Import them as item clouds, test alongside Geometry Nodes, preview them in Workbench, and render them natively alongside EEVEE or Cycles.

Gaussian Magic

3D Gaussian Splats are commonly used to rebuild 3D scenes from photos or videos. They comprise of many small, soft, transparent blobs that merge to portray complex geometry and shading.

Blender can now import Gaussian Splats from PLY, SPZ, and glTF files, shop them as item clouds, procedure them alongside Geometry Nodes, and render them in EEVEE, Cycles, and Workbench (solid mode).

PLY document imported as gaussian splats, featuring DOGWALK by Blender Studio.

Point of View

Gaussian splats are represented as item clouds, using a new category to inform them distinct and alongside particular attributes:

scale: A vector represneting the size of the splat.
rotation: A quaternion to authority the rotation of the splat.
radiance:base: 4D Vector as basis (DC) brightness of the splats, followed by opacity.
radiance:sh_{index}: Coefficients of the spherical harmonics bands >= 1. The command is , , , … anywhere L is the collection indicator and M is the basis function.

Radiant Future

By default, a 3D Gaussian Splat is rendered using an emissive shader. The brightness trait provides admission to the resolved brightness of the splat at the current shading point.

There is rudimentary assistance for making the splat relightable by replacing the Emission node alongside a difficult exterior BSDF specified as Diffuse BSDF.

Performance is motionless being optimized. Rendering may create inaccuracies because of differences between the sRGB area used by most Gaussian Splat authoring tools and Blender’s linear color space, particularly in areas alongside low opacity and elevated radiance.

Simple example of relit Gaussian Splat.

CYCLES

Divide and Shine

The Principled BSDF now supports Dispersion!

Turn average pane and diamonds into beautiful small rainbows by splitting pale ray into its colorful components.

Cycles Dispersion overview on YouTube by Chris Tyler

CYCLES

A diamond
in the Rough

With Dispersion in the Transmission panel, the Principled BSDF can now reproduce the trait rainbow consequence seen in pane and gemstones. This corresponds to OpenPBR v1.1.1.

Roughness anisotropy is additionally now supported by the Glass BSDF and the transfer component of the Principled BSDF. It behaves fair akin anisotropy for specular reflections.

CYCLES

Gone alongside Denoise

Blender 5.3 integrates DLSS 4.5 Ray Reconstruction as a new denoiser, delivering cleaner images faster by upscaling and reusing samples from former frames.

Think Cycles looks alongside EEVEE responsiveness.

NVIDIA DLSS brings near-final render norm to the viewport, making lighting and appearance betterment faster and additional receptive during practically eliminating flickering between frames during animation playback.

Find it in the Denoise panel under Render properties, Sampling.

DLSS denoising requires NVIDIA controller type 620 or newer.

Ready to Spark

Blender 5.3 brings native assistance for NVIDIA RTX Spark devices operating Windows 11, including recollection optimizations.

EEVEE

Material Lighting nodes authorize authoring how the Material reacts to Lights.

This can, for example, be used for toon and stylized shading, but additionally for complex bodily effects akin iridescence.

All the nodes you need to modify lighting to your liking.

Lighting to Your Liking

Per-light data, evaluation, and shade data are now accessible in the Shader Editor, giving you additional authority complete how materials react to idiosyncratic environment lights.

Four new nodes and two that received a “Light” mode/space:

Light Accumulation: Evaluates its inputs for all ray in the environment and accumulates the results.
Light Info: Exposes ray data properties (Color, Power, and Position).
Light Evaluation: Evaluates position-dependent ray properties (Diffuse/Specular Term, Attenuation Mask, Direction, and Distance).
Shadow Raycast: Outputs a shade disguise value for the ray being shaded.
Attribute (Light Mode): Queries tradition properties from the Light Object or Light Data being evaluated.
Vector Transform (Light Space): Transforms coordinates to and from the local area of the ray being evaluated.

A Wider Perspective

EEVEE can now render panoramic cameras, supporting all types of projections, from equirectangular and cubemap formats to assorted fisheye models and mirror ball.

EEVEE fisheye matching Cycles 1:1

The current implementation has a few limitations: degree of field, raytracing, and volumetric temporal reprojection in the viewport are not yet supported.

COMPOSITOR

Side Effects

You can now stack Effects on your environment fair akin you would modifiers or constraints.

Applying compositing effects has never been easier.

Scene Effects stack featuring Storm by Blender Studio

New Compositor & Effects tab in the Properties editor.

One-click, Bloom!

Choose from built-in effects specified as Bloom, Chromatic Aberration, Film Grain, and Vignette, as fine as effects from online asset libraries or your own tradition compositor node groups.

Internally, all consequence is its own node group, alongside its output passed on to the next effect.

You can additional customize effects at any period in the Compositor editor.

COMPOSITOR

Bundle Up

17 Geometry Nodes are now supported in the Compositor, bringing a range of new capabilities throughout bundles, math and logic, and usefulness operations.

This includes bundle assistance alongside Get Bundle Item, Store Bundle Item, Combine Bundle, Typed Bundle, and Separate Bundle.

Math and logic nodes specified as Boolean Math, Compare, Float to Integer, Integer Math, Matrix SVD, Combine Transform, and Separate Transform. Plus usefulness nodes including Hash Value, Random Value, Is Viewport, Import Text, and Bone Info.

CPU
NVIDIA GPU
Apple GPU

Relative period to procedure Anisotropic Kuwahara filter. Lower is better.

Blender scatter artwork origin records are accessible for you to perform with!

OVERGROWN, by Blender Studio

The new File → Project menu, to create, open and admission projects.

CORE

Blender, encounter projects.

Until now, Blender’s preferences (such as asset libraries) were shared throughout all projects, and it was up to users to keep connected records and resources organized.

Blender now supports projects, giving you a way to collection connected files, portion resources, and oversee settings throughout an complete project, whether you’re operating solitary or as part of a team.

Everything
Everywhere
All In a Project

Projects assistance tradition variables that can be used throughout a project, specified as a character’s name or a frequently used document path.

Per-project asset libraries and color administration configurations are additionally supported. You can equal set up a tradition scatter display for your project, providing quick admission to its records and another latest projects.

Add-ons and another extensions per-project volition prosecute in forthcoming Blender versions.

Projects are entirely optional, most of the period you’ll likely activity without one.

Project-specific scatter and color administration configuration.

ASSETS

Asset libraries can now be shared as extensions! Just akin add-ons or themes.

Browse hundreds of community domain resources accessible on the Extensions phase via the Get Extensions tab and instal them immediately from inside Blender.

Create and portion your own asset archive extension. Optionally, admission can be controlled via authentication tokens.

A choice of community domain resources by the famous archive Poly Haven is now accessible from inside Blender. No add-ons required.

GREASE PENCIL

Drawn to Select

Draw Mode now has its own choice tools: Tweak, Lasso, Box, and Circle. Select strokes and modify them correct anywhere you draw.

Move, rotate, scale, duplicate, copy, paste, and delete strokes using the customary shortcuts, or admission all these actions from the new Stroke menu.

Carve Diem

Meet the new Carver tool in Draw Mode.

It cuts shapes using appropriate Boolean subtraction, creating spotless cuts in strokes and fills according to a lasso selection. Holes are created automatically whenever needed.

When a form has the two a blow and a fill, carving a gap into it additionally creates a blow about the hole. Fills that are divided distinct rotate into distinct shapes, making them uncomplicated to sculpt further.

The new Carver tool uses booleans to cut through strokes and fills.

Fill alongside color multiple regions at formerly using the new Fill tool in Blender 5.3.

One Tool to Fill Them All

The Fill tool can now inhabit multiple regions at once.

Simply diagram a way throughout multiple regions to inhabit them all as a sole shape, alongside no gaps or borders in between.

Ramp It Up

Gradient fills now use a ColorRamp input alternatively of being constricted to fair two colors.

Assign Flip View a shortcut or add it to Quick Favorites for uncomplicated access.

Flip Out

Mirror the camera perspective horizontally alongside the new Flip View controller to measure the construction from a distinct viewpoint and place asymmetry or ocular imbalances.

This lone affects the viewport display. It does not alter the camera object’s change or the final render, which remains unchanged. Use the controller again to reconstruct the first orientation.

Flip View has no shortcut assigned by default, but you can allocate your own through the right-click list or add it to Quick Favorites (Q) for uncomplicated access.

I/O

USD Collection Importer

Collections can now be connected to importers.

Similar to the Collection Exporters introduced in Blender 4.2 LTS, Collection Importers create it uncomplicated to re-import data alongside a sole click, without having to navigate menus or modify settings repeatedly.

Configure them through the Importers panel under Collection Properties. Settings are stored in .blend files, making them uncomplicated to portion and preserving them throughout Blender sessions.

Only the USD importer is supported in Blender 5.3.

See all USD, Alembic, glTF, OpenEXR, and another I/O changes.

VIDEO SEQUENCER

Cut to the chase

The Video Sequencer gets a complete ripple editing framework, a rewritten blade tool, and a lengthy catalog of editing, interface, and achievement improvements, including first OpenTimelineIO support.

Ripple,
Shuffle,
Overwrite

Welcome Ripple editing to Blender 5.3!

This new overlap manner automatically moves strips onward or backward as edits are made, maintaining timeline continuity without the need to manually near gaps.

Ripple, Shuffle, and Overwrite modes are now consistently used throughout editing operations. Switch between them during moving strips using R, S, and V.

Making Waves

Complete the ripple workflow alongside these helpful operators:

Ripple Add: Hold Shift during dragging and dropping strips to insert them using ripple behavior, automatically making area in the timeline.

Ripple Trim: Trim selected strips at the playhead and automatically near the resulting gaps. Use Shift+Q or Shift+W to reduce from either side.

Ripple Delete: Delete selected strips and move consequent satisfied rear to near the gaps. Use Shift+X.

Cutting Edge: Blade 2.0

Splits are now visualized as a row whenever using Blade and as a area whenever using Box Blade. Tooltips display example values at the divided location, during a real-time preview shows the example below the cursor.

Press and clasp C in the timeline to temporarily activate the Blade tool.
Release it to toggle rear to the earlier energetic tool.

But wait, there’s more: Hardware decoding, thumbnail assistance for Scene and another strips, OpenTImelineIO import and export, and much more.

USER INTERFACE

Search. Sort. Scribble.

Blender 5.3 gets additional than a tier of polish. Long-awaited norm of existence features and improvements that create this publish obtain a jump in usability.

Sorted Out

Arrange your objects openly alongside custom sorting in the Outliner. Finally.

Switch rear to alphabetical command from the header popover.

Plus improvements to filtering, drag-and-drop behavior, and ranking management.

Place objects anyplace you desire in the Outliner.

Press Ctrl/Cmd + F to discover item in the sidebar.

Side Quest

Sidebars in all editors now assistance search, making it imaginable to discover any asset or operator, equal inner tabs created by add-ons.

Press Ctrl/Cmd + F during hovering the sidebar and commencement typing correct away, or through the environment list of the tabs and panels.

To apparent the search, media Alt/Option + F.

Mark it Down

The Blender UI now supports rendering essential Markdown formatting.

In node editors, compose markdown immediately in the new Comment node, or in regular layouts for scripts/add-ons through the label_markdown widget. Another helpful widget for lengthy strings is label_multiline, it behaves fair akin labels but allows content to wrap.

New Comment node to annotate node trees, alongside Markdown support. Rendered node on the left, Edit manner on the right.

But wait: IME support, improved tooltips, box-select gesture, browsable node publishing company context paths, improved Attribute Viewer overlay, Curve widget selection, and more!

Blender on tablets, texture layers, animation layers? Show your assistance for upcoming betterment projects and assistance form the forthcoming of Blender.

Plus hundreds of bug fixes, code cleanups and refactors.
See the full catalog of changes.

CREDITS

Gemini 4 Carbon is now available

support@mycoding.id (Riki Setiawan) — Tue, 10 Nov 2026 17:07:15 +0700

Developers, enterprises, scientists, and consumers can now try our latest frontier model.

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[[duration]] minutes

This satisfied is generated by Google AI. Generative AI is experimental

Today, we’re making Gemini 4 Carbon accessible to developers, enterprises, scientists, and consumers. Carbon is our strongest example alongside frontier achievement in cybersecurity capabilities and long-horizon agentic workflows throughout complex cognition work, application engineering, and specialized reasoning.

Two weeks ago, we released Carbon to a set of cybersecurity defenders via our Fairwind Program. Following our latest initiate of Gemini 4 Argon, Carbon pushes the frontier equal further. Argon remains the ideal choice for the bulk of application engineering and cognition work, during Carbon is built for tasks that test the limits of a model’s intellect akin complex, multi-step coding and debugging and open-ended specialized investigation and finding — using additional tokens than Argon to examine thoroughly, logic deeply, and run extended verification loops.

Across autonomous benchmarks designed to test example achievement in genuine workflows, Carbon pairs frontier accuracy alongside applicable manufacturing economics. It ranks #1 on CursorBench 4.0, Perplexity’s WANDR, and Zapier’s AutomationBench at additional than 2X lesser disbursal per project compared to the next finest external model.

To put Carbon’s capabilities to activity on larger and complex projects, we’re previewing /swarm in Google Antigravity, turning a sole immediate into a coordinated squad of agents you can track in genuine time. Developers can allocate Carbon to roles that petition the deepest reasoning, akin architectural design, coordination, and auditing, during pairing it alongside faster, lighter models throughout parallel secluded workspaces and adversarial verifiers that test all change.

Gemini 4 Carbon is accessible via the API in Google AI Studio and Gemini for business for all paying developers and enterprises, at the identical introductory price ¹ as Gemini 4 Argon ($2 per myriad input tokens and $10 per myriad output tokens). It is additionally rolling out to all Google AI Ultra subscribers in Google Antigravity, the Gemini app, and AI Mode in Search.

Higher-precision cognition work, relic generation, and data analysis

Across legal, finance, and endeavor operations, Gemini 4 Carbon combines frontier ocular understanding, reasoning, and exhaustive retrieval to synthesize restricted insights throughout ample sets of compact documents and data. It follows strict schemas and formatting to create polished and exact spreadsheets, presentations, and reports.

Existing benchmarks don’t adequately grasp how agents logic natively complete compact records alongside charts, images, blueprints, schematics, and tables, so we partnered alongside Artificial Analysis to initiate the new Multimodal Knowledge Agent (MKA) benchmark that tests a model’s multimodal achievement in agentic workflows. Carbon ranks #2 during being additional than 6X lesser in average disbursal per project compared to the top performing model.

In pre-release evaluations, Carbon matched the achievement of the finest example tested on profound financial investigation on Hebbia’s E2E Financial Agentic evaluation, and classified at the top out of 23 frontier example configurations on Balyasny Asset Management’s General Financial Intelligence benchmark, spanning lawful expertise, agentic tool use and execution, coding and data engineering, and awareness and environment understanding.

Improved agentic coding, complete stack development, and 3D and UI design

Carbon performs exceptionally fine on engineering tasks that necessitate multi-agent collaboration akin multi-package migrations, cross-subsystem root-cause investigations, and complex architectural redesigns. For web app development, it runs build-and-verify loops, recovers from errors, and checks the two its code and the rendered UI to create complete, operating applications. Stronger ocular design, spatial reasoning, and notice to ecological item additionally transport complete to 3D equivalent betterment and imaginative coding.

Frontier cybersecurity capabilities

Gemini 4 Carbon for cyber delivers our strongest cybersecurity capabilities to date, giving safety teams the end-to-end intellect they need in protecting crucial software. When accessed through the Fairwind Program, Carbon leads on key benchmarks throughout finding (SEC-bench Pro), exploiting (ExploitGym), and patching (CWE-bench v1) vulnerabilities: inspecting software, tracing how flaws can be chained together throughout systems, and generating verified root-cause patches.

Early testers inner and exterior of Google are already seeing powerful results alongside Carbon for cyber in practice.

In Project Fortify, Google’s autonomous scheme spanning scanning, triage, and remediation, Carbon hit 100% recall on scanning and 95% precision on triage, on our inner benchmark. On Open Source code repository evaluation we see an complete 25% related betterment on Argon's already powerful recall rate, surfacing earlier undetected, real-world logic flaws. Bringing these gains throughout Google, among the world’s largest users of open-source software, helps safe the two our own systems and the broader ecosystem.
Google’s Cloud Vulnerability Research (CVR) squad lately used Carbon to demonstrate that two bugs in a famous open-source application were in fact exploitable vulnerabilities, comparable in severity to the latest PHP2Shell exploit. By using Carbon to build a evidence of concept, CVR helped maintainers re-classify the bug as crucial and swiftly matter a patch. Details volition be shared following the liable disclosure procedure completes.
As part of Wiz’s Scan for Good program, the squad used Carbon to measure vulnerabilities in community digital infrastructure. For example, whenever scanning two important SaaS providers, the example uncovered 0-day vulnerabilities in under two hours compressing weeks of exposure investigation to a sole afternoon. The squad partnered alongside the affected organizations to remediate in document time, assisting to mitigate possible effect on tens of thousands of companies.

Stronger specialized and mathematical reasoning

Gemini 4 Carbon shows powerfully improved achievement in reasoning throughout physics, math, and existence sciences, synthesizing experimental data, evaluation hypotheses, and reasoning through multi-step domain problems. For medication toxicity investigation business Axiom Bio, Carbon is now the foremost example in achievement for translational science, finding novel mechanisms of toxicity they hadn’t established previously. Axiom is now moving their manufacturing specialized analyses and agents to the two Carbon and Argon to unlock the innovation of safer drugs.

Researchers throughout Google have been using Carbon in Google Antigravity to accelerate their work:

Code verification: Researchers built a new agentic example for ceremonial verification called AlphaProof Code and put it to activity on a important safety challenge: mathematically proving the genuine code underlying the cryptographic protocol of Signal. Using Carbon alongside another models, our researchers translated safety goals to mathematical theorems. AlphaProof Code agents afterward used Carbon to create millions of lines of code in Lean, a device tongue for penning mathematical proofs, assisting them demonstrate key safety properties in weeks — a project that historically takes expert teams years. The outcome indicates Carbon’s possible to unlock scalable ceremonial verification, lengthy considered a gold-standard method to construction safe software.
Enzyme assay development: Provided alongside lone lab notebooks and raw data, Carbon went beyond norm inspection to exterior hard-to-interpret data anomalies, which it used to diagnose subtle wet lab experimental artifacts specified as incomplete automated mixing in profound wells, foremost to substantially improved reproducibility. Moreover Carbon improved methods to deconvolute chromatography peaks and caught trace example carryover in investigation instruments, considerably accelerating the betterment of new assays and tightening the feedback iteration between computation and the bench.
Protein construction prediction: Structure prediction models akin AlphaFold 3 use Multiple Sequence Alignments (MSAs) of evolutionary relatives to assistance infer how amino acidic chains fold. As a outcome they frequently battle on understudied, viral, microbial, and eukaryotic proteins that have extremely few matches in norm databases. Working in a multi-agent setup, our researchers used Gemini 4 Carbon to autonomously detect distant homologs throughout petabase-scale unannotated sequence archives, ecological and viral sequence catalogs, and 3D construction databases. For example, throughout 7 low-homolog macromolecule families from the CASP17 blind test set, Carbon risen the figure of homologs retrieved by 40-fold on average, greatly expanding the data accessible to construction prediction models without need for retraining. While broader benchmarking is motionless underway, addressing this upstream hunt bottleneck possibly offers a promising way toward modeling hard-to-characterize regions of the proteome.

Four weeks ago, we opened applications to provision 10,000 scientists admission to Argon in Google Antigravity liberated of accusation for six months to accelerate the gait of their research, and we’ve onboarded thousands of scientists already. Today, we’re expanding admission to Carbon for current and forthcoming participants, and going forward, the program volition continue providing admission to our latest frontier models as they rotate into available. Applications remain open and onboarding continues on a weekly rolling basis, topic to eligibility, capacity, and selection.

Progress in example safety and security

With all new example release, we continue to fortify our safety and safety mitigations, agentic misuse prevention, example alignment, and damage decrease proportionately alongside example capability.

Because Gemini 4 Carbon introduces stronger cyber capabilities we build on Argon’s strong safety and safety stack to fortify robustness to misuse and immediate injection.

Mitigating frontier safety misuse risks: We’ve strengthened our misuse safeguards to assistance justify stronger protective reasoning does not translate into insulting risk. In simulated cyberattack evaluation environments seeded alongside ExploitBench and CyScenarioBench, Carbon blocked 99% of assault trajectories from our adaptive red-teaming delegate that can iteratively revisit its assault plans following all block. The Carbon safeguards lowered the per-attempt breach charge to fair 0.8% (down from 3.1% on Argon). Our safeguards additionally lowered the automated cyberattack query achievement charge to 2.17% in Gray Swan’s testing, compared to 9.86% on Argon. And external evaluation by Trajectory Labs established zero new worldwide jailbreaks throughout 132 hours and complete 13,000 requests.
Promoting harmless and aligned example interactions: When we announced Carbon, we showed important improvements in alignment as measured by our detect emblem rates throughout the model’s lifecycle, as fine as reductions in data fabrication. New results display that on our 375-task agentic honesty benchmark, it passed 92% of tasks (compared to 70% for Argon) — declining to inhabit in missing experimental data 98% of the period and flagging methodological flaws 68% of the time.

Protecting users from indirect immediate injection attacks: Two weeks ago, we shared that Carbon achieved a 0% immediate injection assault achievement charge on the Gray Swan IPI benchmark — marking the archetypal period that milestone has been reached. At the identical time, we cognize that immediate injection robustness remains an area for continued improvement. Our advanced automated red teaming continues to shove the limits current and has shown that models could be additional improved against advanced attacks in several distributions. It provides the data for us to continuously advancement our models’ safety to the next frontier.

For additional details, peruse the complete Gemini 4 Carbon Safety and Security report.

Getting started alongside Gemini 4 Carbon

Starting today, Carbon joins Argon in our family of frontier models throughout our products:

For developers: Build alongside the Gemini API paid tier in AI Studio and Android Studio, and if you’re a Google AI Ultra subscriber, you can try it in Google Antigravity and AI Studio.
For enterprises: Try it in Gemini for business via the API or example autumn down, Google Antigravity, or CodeMender.
For mundane users: Try Carbon starting today in the Gemini app and AI Mode in Search if you’re a Google AI Ultra subscriber.
For scientists & researchers: Apply for a chance to get admission to the two Argon and Carbon via Google Antigravity’s highest use tier liberated of accusation for 6 months (onboarded on a rolling basis), topic to eligibility, capacity, and selection.
For cybersecurity defenders: Apply to associate the Fairwind Program to get admission to Carbon for cyber on a rolling basis.

See the model card to study additional concerning Gemini 4 Carbon and to commencement construction alongside it, examine our updated Gemini 4 developer guide and documentation for finest practices on migrating workflows to the model.

Get the latest news from Google in your inbox

Your data volition be used in accordance alongside Google's privacy policy. You may opt out at any time.

.NET 11

support@mycoding.id (Riki Setiawan) — Tue, 10 Nov 2026 17:01:27 +0700

Comments

Google releases Gemini 4 Carbon with agent ‘swarm’ feature

support@mycoding.id (Robert Hart) — Tue, 10 Nov 2026 17:00:00 +0700

Google is rolling out its latest AI model, Gemini 4 Carbon, to the broad community following releasing it to a choose group of “cybersecurity defenders” two weeks ago. Google claims Carbon is its “strongest model” yet, and capable of competing alongside the extremely finest systems from Anthropic and OpenAI.

Google says Gemini 4 Carbon “pushes the frontier equal further” than Argon, referring to the company’s another frontier example that launched lone final month. The business stated Argon volition apt remain “the ideal choice for the bulk of application engineering and cognition work,” but that Carbon is “built for tasks that test the limits of a model’s intelligence,” specified as complex, multi-step coding and open-ended specialized research.

To emphasize Carbon’s usefulness for long-horizon activity involving AI agents, Google stated it is additionally previewing a “swarm” characteristic on its agentic betterment phase Antigravity, which volition let users rotate a sole immediate “into a coordinated squad of agents.”

Carbon is rolling out today via the Gemini API in Google AI Studio and Gemini for endeavor for all paying developers and enterprises, Google said in a blog post. It volition additionally be accessible to all Google AI Ultra subscribers in the Gemini app, the AI Mode in Search, and on Antigravity. It is not apparent whenever — or if — Carbon volition be accessible to lesser tier subscribers or liberated users.

As alongside the initiate of Argon, Google is pricing Carbon extremely competitively. The example is launching alongside an introductory cost of $2 per myriad input tokens and $10 per myriad output tokens, about a fifth the cost of OpenAI’s GPT-6 Astra and a fourth the disbursal of Anthropic’s Fable 5.2 model, which launched yesterday. Even following those expenses twice at the end November — whenever the introductory duration of lesser prices finishes — Carbon volition motionless be considerably cheaper than frontier rivals on a per-token basis, although this doesn’t necessarily translate to lesser expenses as models can use distinct numbers of tokens for the identical tasks.

Benchmarks cited by Google whenever it archetypal announced Carbon propose the example is among the most mighty on the market throughout most metrics, rearward Fable 5.2. It have to be noted that companies can and do cherry-pick benchmark results to display their tools in the finest imaginable light.

The release, hot on the heels of Argon, marks a decisive come back for Google at the extremely forefront of AI research. For months, frontier betterment looked akin a two-horse competition between Anthropic and OpenAI.

Follow topics and authors from this narrative to see additional akin this in your personalized homepage nourish and to obtain email updates.

Robert Hart

Larry Page Reportedly Gave This Two-Word Prediction About the Future of AI. Elon Musk Says It’s ‘Accurate.’

support@mycoding.id (Jonathan Small) — Tue, 10 Nov 2026 17:00:00 +0700

The Google co-founder’s prediction came secondhand via a famous investing podcast. But that didn’t halt Musk from weighing in.

By Jonathan Small | edited by Dan Bova | Nov 10, 2026

Larry Page and Elon Musk don’t conversation anymore, but that didn’t halt Musk from praising Page’s prediction concerning the forthcoming of AI — or at smallest item Page reportedly stated to person else.

It all started alongside a podcast final week. On the Nov. 4 event of Invest Like the Best, presenter Patrick O’Shaughnessy recalls hearing that Page was asked how much of the world’s computing power, the servers that run AI and everything alternatively online, would eventually be in space. Page’s reported answer was “five nines,” or 99.999%.

Musk shared the clip on X on Sunday. “Larry Page has made many exact predictions and this is one of them,” he wrote.

The endorsement fits Musk’s own pitch. SpaceX, which absorbed his AI business xAI this year, wants to build AI data centers in space. Earlier this month, Musk asserted that AI hardware could be easier to chill in orbit than on Earth. Google is evaluation the idea too, and its Project Suncatcher chips lately generated their archetypal AI reply in orbit.

The two billionaires cut out in 2015 following Musk recruited a top Google AI investigator to co-found OpenAI, according to Yahoo! Finance.

Musk shared the clip on X on Sunday. “Larry Page has made many exact predictions and this is one of them,” he wrote.

The two billionaires cut out in 2015 following Musk recruited a top Google AI investigator to co-found OpenAI, according to Yahoo! Finance.

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One item I'm glad I did is build an email list

A diamond
in the Rough