One of the rumored new products is a astute residence hub alongside a display that volition additionally characteristic the newly released Siri AI assistant, according to Bloomberg. MacRumors has obtained what appear to be authoritative images of a new HomePod Mini alongside refreshed colors and a new Apple TV 4K alongside a akin scheme to the current version. Bloomberg has also reported that Apple is collaborating alongside LG on devices akin a video bell and a thermostat, and recent leaked renders appeared to display off several of those new devices.

• 

  How Apple can win the astute home

  

  

  This week, Apple is hosting its first-ever dedicated astute residence event. While the business hasn’t shared particulars concerning what it volition disclose at the “Welcome Home experience” in New York City on Tuesday, October 13th, it doesn’t obtain an armed forces of net sleuths to infer we’ll get news concerning Apple Home — specifically, new hardware. Apple eventually seems to be taking the astute residence seriously.

  According to Bloomberg, Apple volition publish a astute residence display alongside a refreshed HomePod Mini and Apple TV. The display, which MacRumors reports may be called HomeView, is arguably Apple’s archetypal dedicated Apple Home hardware since it launched the HomeKit phase in 2014. As breathtaking as this is (and I’ll be there in individual to inspect it out), the genuine change volition be bringing Siri AI and Apple Intelligence into the home. Apple is years rearward Google and Amazon in smart-home hardware, but achievement in the residence depends far additional on software. That’s anywhere Apple could leapfrog the competition.

  Read Article >

• 

  What to anticipate from Apple’s ‘Welcome Home’ event

  

  

  Image: Apple

  We are quickly coming up on Apple’s “Welcome Home” initiate event, anywhere we anticipate a presenter of astute home-related announcements. We are expecting refreshes to Apple TV and HomePod Mini, as fine as a brand new astute residence hub. We could additionally see the debut of a new phase called homeOS, and several partner devices from LG.

  What we likely won’t be seeing is the long-rumored touchscreen MacBook, which Cupertino whisperer Mark Gurman says will debut afterward this month.

  Read Article >

• 

  Apple may have submitted to trademark the term “HomeView.”

  Apple possibly used a casing business named Home Services LLC to secretly document for a “HomeView” trademark in the U.S. and assorted another countries final year, about the identical period that another casing business named Home Operations Suite LLC that additionally power be connected to Apple submitted for a “homeOS” trademark.

  Perhaps the expression is for item that volition be announced at the October 13th “Welcome home” event? At smallest we don’t have to delay too lengthy to discover out.

• 

  Apple announces astonishment ‘Welcome home’ initiate event

  

  

  Image: Apple

  Apple has fair announced a new October event, taking location in New York on October 13th at 9AM ET. The business is rumored to be launching astute home-focused products this month, and the event invitation hints that’ll be the case: Apple is using the tagline “Welcome home.”

  At the event, Apple is rumored to province products including a astute residence hub alongside a display, an updated HomePod Mini, a new Apple TV. The business is additionally reportedly teaming up alongside LG on new astute residence devices that volition initiate at the event, including a video doorbell, thermostat, and indoor camera, and renders leaked yesterday that purportedly showed off several of those devices.

  Read Article >

Mark Zuckerberg and Alexandr Wang joined Stripe cofounder John Collison for a ale on the latest event of "Cheeky Pint" — but viewers aren’t convinced the Meta executives were converted to Guinness.

Zuckerberg and Wang spent 134 minutes on the podcast discussing Meta’s AI ambitions, including the company’s new Muse merchandise and its enormous spending plans.

As is customary on Collison’s discussion series, the conversation took location complete pints of Guinness, an Irish dry stout, known for its rich, malty, and slightly bitter taste.

The event began alongside a sequence of cheers between Collison, Zuckerberg, and Wang. Later, Zuckerberg revealed that he brought his presenter a keg of Guinness from Dublin.

The toggle has drawn notice following viewers shared clips of Zuckerberg and Wang drinking the stout. In the footage, Zuckerberg takes a dilatory sip and swills it about in his mouth, before appearing to wince — a instant that prompted comments concerning whether he was enjoying it.

Social-media users were quick to concentration on Zuckerberg’s expression following the sip. Commentator Ed Zitron joked that he should "spit it out and say 'eww!!!!'"

Another person wrote that Zuckerberg appeared to be thinking: "Wow, that’s nasty."

The clip was additionally shared to the r/Sipstea subreddit alongside the caption "Mark Zuckerberg pretending to bask Guinness." One person observed, "Never seen person try and chew a Guinness."

Although for those who do not bask the trademark acquired sensation that is Guinness, Zuckerberg's reply seemed slightly relatable, alongside one person noting, "That was the most normal item I've always seen him do, actually."

Meta did not immediately react to a petition for comment on Zuckerberg and Wang's thoughts on the sensation of Guinness.

Elon Musk outdrank Zuckerberg on 'Cheeky Pint'

Tyler Cosgrove, who plant on the TBPN podcast, watched the complete two-hour display and counted how much Wang, Zuckerberg, and Collison drank.

While Zuck completed concerning a pint and a half, Cosgrove noted that Wang nursed one Guinness for the complete event and didn't complete it.

Cosgrove compared that alongside a "Cheeky Pint" discussion alongside Elon Musk, anywhere he estimated Musk drank three pints and Collison drank four.

During the podcast, the three discussed how Meta is evolving Muse, its individual AI agent. Zuckerberg stated he uses the merchandise to analyze video from his MMA training, alongside the scheme giving him feedback between rounds.

Wang described using his own delegate to origin teas from vendors in Taiwan and Japan. The brace additionally discussed Meta's concentration on multimodal AI, privacy and security, and its plans for larger models.

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Chances are you’ve already got several idea of your brand’s visibility in AI responses. But I’m consenting to bet those visibility checks were carried out in fair one language: English.

If a client in Singapore asks an AI chatbot a purchasing inquiry in Simplified Chinese, and a client in Kazakhstan asks the identical inquiry of the identical AI in Russian, would they get the identical recommendation? What concerning a client in Riyadh asking in Arabic or a client in Los Angeles asking in Persian?

These aren’t hypothetical customers. According to Statcounter’s August 2026 figures, ChatGPT was liable for approximately three-quarters of website visits that came from AI chatbots in Saudi Arabia, Kazakhstan, and Singapore. Add in Claude and Gemini, and these three U.S.-based models accounted for additional than 90% of AI referrals in all market.

Of course, you don’t need to depart the U.S. to discover customers whose archetypal tongue isn’t English. More than fractional of Los Angeles County residents conversation another tongue at home, including about 74,000 Persian speakers, according to the latest Census estimates. I’d be amazed if they all switched to English all period they opened ChatGPT.

But whenever person asks an AI chatbot a inquiry in another language, the reply won’t merely be a translation of the answer it would provision in English. The AI reasons and composes its reply in that language. And that brings a entire slew of traditional values and another factors to withstand on how the example responds.

Why The Choice Of Language Matters In AI

I’m not the archetypal individual to compose for Search Engine Journal on how brand visibility and messaging in AI can arrive throughout alternatively in languages beyond English. In April, Duane Forrester explained why AI visibility strategies built in English don’t transfer effortlessly to another markets. For a start, ChatGPT and Gemini aren’t accessible in China at all, during Claude isn’t officially offered in mainland China, Russia, or Iran. Instead, your brand’s AI visibility in several countries may depend on regional, homegrown models, specified as Baidu’s ERNIE in China, Naver in South Korea, Mistral in France, and so on. As Forrester explains, all of these models evolved from a distinct starting item entirely: a national corpus, a particular traditional identity, and in several cases a authorities mandate. If you haven’t peruse his article, I’d bookmark it now to peruse following this one.

However, as we’ve seen, Western AI models akin Claude, ChatGPT, and Gemini are motionless extensively used in plentifulness of locations anywhere another languages are spoken, not to citation all the diaspora communities about the world.

In July, Anthropic published a study on Claude’s values throughout languages and models. By values, we’re talking concerning the factors that form responses anywhere there is no conclusive correct answer. For example, are responses additional apt to display deference or caution, warmth or rigor, degree or brevity, candor or execution?

The researchers sampled fair under 310,000 genuine conversations throughout the 20 most average languages, likewise divided between three models (Sonnet 4.6, Opus 4.6, Opus 4.7). They established that the values Claude demonstrated shifted according to the tongue it was addressed in, specified as leaning toward greater warmth in Hindi and Arabic and toward greater rigor in English and Russian.

The consequence is this: Two group could present the exact identical query in distinct languages – say, whether they should upgrade to the new iPhone Duo – and arrive distant alongside fairly distinct impressions of what they should do and how fine it is.

One item the Anthropic investigation doesn’t test is whether the choice of tongue additionally impacts whether Claude mentions, cites or recommends your brand in the archetypal place.

So, I decided to run several tests of my own.

See also: Your AI Visibility Strategy Doesn’t Work Outside English

6 Questions, 5 Languages, 1,650 Answers

I picked six buying or booking scenarios anywhere person power use an AI chatbot to investigation their options before making a decision:

1. A inn in Tenerife.
2. A come back escape from London to Tenerife.
3. Noise-canceling headphones under £400.
4. A robot vacuum under £500.
5. A CRM for a small U.K. business.
6. Project administration application for a 50-person UK firm.

As Anthropic’s investigation was the catalyst for these tests, I decided to test Claude Sonnet 5 first, alongside web hunt turned off. Using DataForSEO’s LLM Responses API, I queried Claude on all of the scenarios in five languages:

1. English.
2. Arabic.
3. Russian.
4. Simplified Chinese.
5. Persian.

In all instance, I asked the example to:

1. Name three options (brands).
2. Say which one would be its recommendation.

This gave me the center dataset: six scenarios × five languages × 40 runs = 1,200 responses.

For comparison, I additionally used the identical setup to test two of the scenarios (hotel and PM software) alongside web hunt turned on to see if allowing the example to hunt the open web made a measurable difference to the answers. Finally, I tested the identical two scenarios in ChatGPT and Gemini to see if other AI models behave the identical way. I’ll come back to these difference questions later.

Eventually, I had data from 1,650 responses to crunch.

Luckily, most of the mentioned brand names were rendered in Latin script, equal in Arabic, Russian, Chinese, and Persian responses. As there’s no Arabic or Chinese term equal to a brand name akin “Zoho,” the example writes it as-is. This meant I could set up a straightforward text-matching pipeline to grasp and build a catalog of the brand names mentioned in all category.

However, during this held up consistently for five of the six categories, airlines proved to be an exception. Because they’re really global businesses, several brands have established local-language forms. For example, approximately 5% of the Chinese responses wrote “英国航空” for British Airways (literally “Britain Aviation”) or “易捷航空” for easyJet, alongside no Latin form nearby. Some Arabic responses did the identical alongside phonetic transliterations, penning “جت2” for Jet2 and “إيزي جت” for easyJet. Because of this, I had to add those Chinese and Arabic strings as additional patterns to the brand-matching list.

Identifying the winning brand choice in all reply engaged looking for the representative words and phrases used by all example in all tongue whenever making a advice (such as “my recommendation,” “التوصية النهائية,” “最佳选择,” a trophy emoji, and so on).

This method resolved cleanly for 99.8% of responses. But before I trusted the final data, I manually checked a example of approximately 40 responses throughout all method tier.

I’ve excluded three responses from the results since they ended without naming a final pick. As a result, two of the percent scores in the tables below are derived from 39 responses alternatively of 40. (The fourth came from the web hunt tests.)

What The Data Showed

The most startling disparities occurred in queries connected to the second circumstance – transporter recommendations for a come back escape from London to Tenerife.

In Persian, Claude picked British Airways 52.5% of the time, and easyJet lone 12.5%. However, in Russian, Claude overwhelmingly opted for easyJet (72.5%) – a staggering 60-point sway – during it didn’t propose British Airways equal once.

Same model, identical scenario, identical question, identical afternoon. The lone difference was the language.

For hotels, the figure of properties in Tenerife meant Claude had a much wider site of options than it would for, say, robot vacuums, foremost to a much additional varied range of recommendations in all language.

However, during this meant the percentages were lesser overall, the disparities between languages were motionless fairly stark. Bahía del Duque was the top choice in 43.6% of Chinese responses but lone won in 7.7% of Arabic ones. And during Hotel Botánico accounted for nearly a third of recommendations in English, it disappeared without trace in Russian.

If there’s one industry anywhere a brand would need to affect alongside customers in multiple languages, it would be journey and tourism. But if an transporter CMO or inn promotion director lone tested their brand’s AI visibility in one language, they would get a entirely inaccurate image of how their brand is recommended (or not) in another precious territories.

The another four categories didn’t disclose the identical volatility, alongside the identical brand winning throughout all five languages. Here, it’s the measure of that win and the battle for second location that becomes additional interesting.

For example, in the headphones category, English was the outlier, as the lone tongue anywhere Sony had grave competition. To a lesser extent, the identical is additionally true in the CRM application category.

The final two categories saw no genuine outliers, alongside the narrative playing out much the identical throughout all five languages.

If you’re following a robot vacuum for under £500, it seems that whichever tongue you use, AI volition nearly continually propose Roborock.

Meanwhile, the project administration application category is a genuine two-horse competition throughout the board. But equal here, Monday.com consistently scored a few additional recommendations than closest competitor Asana.

So, what does this all mean? What can we obtain from this?

Why Might This Be Happening?

For now, I can lone conjecture at why several categories are stable throughout all languages during others see specified huge variations.

Perhaps, since several categories diagram on a much smaller catalog of earth brands, it’s easier for one or two leaders to dominate. Where the earth broadly agrees, tongue power not be as big a factor. But what concerning whenever there isn’t specified a broad consensus?

For example, Russian was the lone tongue anywhere Claude didn’t propose British Airways equal once. One clarification power be that, in February 2022, Russia banned all U.K.-registered airplane from its airspace, and British Airways suspended its Moscow path the identical day. But easyJet and Jet2 are additionally British airlines, and they document for 97.5% of all Russian recommendations.

Maybe the inquiry isn’t why British Airways was excluded in Russian. Maybe the additional engaging inquiry is why easyJet scored so elevated – by far the highest mark in this category throughout all languages – efficiently pushing another airlines lesser (or out)?

Whatever the reason, the instruction is the same. When you ask AI a inquiry in a particular language, you’re not fair choosing a vocabulary. You’re giving the example additional environment that influences and shapes the answers you get back.

But whether that environment is regional, political, cultural, or purely linguistic won’t be uncomplicated to unpick.

The journey industry aside, what these findings average to you volition mostly depend on which category your endeavor is in. Most of you study this volition be in industries and merchandise categories that don’t map to the six scenarios we’ve tested, in which case, I propose operating several investigation of your own.

But if you transport out several tests and do discover important variations between languages, can you do item concerning it?

The results from my next circular of tests propose there power be a way.

What Happens When The Model Searches The Open Web?

Because I wanted to get as apparent a image as imaginable of all model’s own behavior in distinct languages, liberated of exterior factors, I initially tested Claude alongside web hunt switched off. That way, responses could lone diagram on the model’s own recollection and training datasets. Any variations between languages could lone be a merchandise of the model.

However, most group use these AI tools alongside web hunt switched on. Therefore, I additionally tested two of the scenarios (hotel and PM software) throughout the identical five languages alongside web hunt turned on to see if, and by how much, the recommendations power change.

Out of these 10 tongue and category combinations, the winning brand was distinct in seven.

In the inn category, the winning inn changed in all five languages. Even additional striking is that many hotels that had earlier received recommendations entirely disappeared formerly web hunt was switched on, during ten new inn names appeared for the archetypal time, including the general winner. JOIA by Iberostar effortlessly won the most recommendations in three languages, taking 31% of picks general and 60% in English.

Interestingly, this isn’t a new inn that’s popped up since Claude’s final training run. In July 2024, a rebrand saw Iberostar’s Grand tier hotels rotate into JOIA by Iberostar. When operating from memory, Claude used the old Iberostar Grand name dropped by the business two years earlier. Of course, that’s exactly why you desire AI to admission the live web.

But the name alter isn’t why this is interesting. With web hunt off, Claude recommended an Iberostar Grand inn fair twice in 198 responses. But alongside web hunt on, JOIA by Iberostar effortlessly became the most recommended inn in the category. Claude didn’t fair choice up the new name and execute a find/replace. Something in what it established online pushed that inn to the top.

Meanwhile, in the project administration application category, lone Persian and Arabic saw the winning brand change. Arabic opted for Wrike 46.7% of the time, notwithstanding lone recommending it in 5% of responses whenever web hunt was off.

In Persian, Asana (40%) eventually won complete Monday.com (26.7%), notwithstanding scoring lower than it had alongside web hunt off. This was again because of a much stronger mark for Wrike (33.3%) than before, turning the category into a three-horse race.

I should add a caveat here, since I don’t desire to overstate these findings. With web hunt enabled, 42.7% of the responses hit the output bounds before finishing. Truncated responses were particularly average in Persian (83%) and Arabic (63%). Thankfully, since the example names its top choice before it elaborates on the reasons why, I could motionless grasp the brand recommendations from nearly all response. But it does average I can’t regulation out the possible of these numbers being soft.

Even so, the trend is motionless apparent – live web hunt has an impact. This is crucial since it suggests that these tongue variations are fluid and can be influenced.

Obviously, you can’t do item concerning an AI training run from final year. That’s fixed and beyond your reach. But alongside web hunt switched on, the AI example supplements that training data alongside new data and environment from the open web. This is anywhere your promotion squad can rotate into proactive, evolving strategies and publishing content to hopefully improve your brand visibility in all region.

Of course, what those strategies power be volition depend on a additional thorough understanding of why these variations happen. That’s a entire another topic.

See also: Why International SEO Needs A Global Knowledge Integrity Strategy

Testing ChatGPT And Gemini

You’re likely thinking, “This is all fine and good, but how do we cognize this event isn’t exclusive to Claude?” That’s why I tested the identical two scenarios in ChatGPT (gpt-5.6-sol) and Gemini (gemini-3.5-flash), additionally alongside web hunt off, to see how they compare.

Out of the 10 tongue and category combinations, Gemini matched Claude in five. ChatGPT matched Claude in lone one.

In the center dataset, project administration application was among the additional stable categories, alongside Monday.com consistently winning the most recommendations in all five languages. Gemini additionally preferred Monday.com, recommending the brand between 53% and 100% of the period in English, Arabic, Russian, and Chinese. Only in Persian did it toggle its advice to Asana.

However, the narrative is extremely distinct in ChatGPT, alongside Monday.com not winning a sole language. Wrike was extremely much an also-ran in the first Claude tests, but in ChatGPT Wrike won the most recommendations in four languages, alongside lone Arabic giving Asana the edge.

As for those Tenerife hotels, ChatGPT produced much additional accordant results, alongside “Iberostar Selection Sábila” the outright winner, scoring between 46.7% and 86.7% throughout four of the five languages. Only Persian preferred a distinct hotel, alongside the Vincci Selección La Plantación del Sur in forefront on 40%.

In Gemini, the image was small certain but was motionless additional accordant than Claude’s.

While we should treat these findings as indicative fairly than definitive, it does appear apparent that variances between languages are not exclusive to any one AI model.

The Limits Of This Research

The first assumption I set out to test was that brand recommendations change according to the tongue of the user. I think we can safely say the answer to that is “yes.”

Beyond that, we need to be careful concerning study too much into these numbers.

The complete findings and my inferences are according to a small example of responses, gathered on September 7, 2026, in a sole afternoon, and targeting fair a small fistful of the AI models, merchandise categories, and languages out there.

1,650 responses power audio akin a decent dataset, but it’s barely a blip whenever you regard how many queries are entered into AI chatbots all second of all day.

The small size of the dataset is likely most noticeable in the inn category. Tenerife has hundreds of hotels. With specified a ample range of possible answers, it’s not amazing that the figure of recommendations (and the resulting percentages) for those hotels that did appear were lesser than for the another categories alongside far small options. Statistically speaking, many of those numbers may sit fine inside the border of error. Does one citation in 40 form evidence? No.

Elsewhere, factors specified as truncated responses average several numbers are softer than others.

Plus, without operating the identical tests again, there’s no logic to assume these numbers and patterns volition clasp true from one week to the next.

I say all this since I don’t desire to overstate what we should obtain distant from this research. These numbers provision us fair a small keyhole to appearance through. For now, they provision us alongside indications, and possible lines for additional exploration.

What they don’t do is provision us a complete image of the multilingual AI landscape, let solitary a map to confidently navigate it. This investigation isn’t the end of the story, but the start.

The finest direction I can provision you is to run your own tests. Take a fistful of questions customers typically ask before they buy from your category. Then test them in multiple AI models in all of your target-market languages. Importantly, don’t do this formerly but repeat the procedure adequate times to see which patterns appear and how they alter complete time.

What Now?

Back to anywhere we started. I initially set out to answer a fairly narrow question: Would a client in Singapore and a client in Kazakhstan get the identical advice from AI?

On the current evidence, the answer is sometimes reassuringly yes and sometimes emphatically no. I don’t desire to say, “It depends,” but, well, it depends. Language is certainly a factor, but there are a lot of variables in play.

As a result, you’ll likely have no way of knowing how any of this applies to your category and your brand until you look.

Plus, we now have a bunch of caller questions to explore. What are these variables? Are the numbers fairly dependable or do they change wildly from week to week? And can we do item concerning it?

That final one is likely the biggest inquiry of all. We saw that allowing AI to admission the live web had a apparent effect on the results, and I think that’s significant. It suggests that, alternatively of passively accepting any tongue gap, your promotion squad power be capable to power forthcoming responses.

More Resources:

• How AI Chooses Which Brands To Recommend: From Relational Knowledge To Topical Presence
• How AI’s Geo-Identification Failures Are Rewriting International SEO
• Your Biggest AI Search Risk Is Conflicting Information About Your Brand

Featured Image: Roman Samborskyi/Shutterstock

The way engineers, merchandise managers, and designers activity together is motionless dilatory and janky, says one Y Combinator-backed startup.

Now, it's raised $6.1 myriad to assistance non-engineers immediately create changes to a company's existing codebase using AI agents.

San Francisco-based Lightsprint stated its application can rotate a plain English petition into a reviewable drag request, which is a projected code alter that engineers inspect before merging it into production. This allows non-technical staffers specified as merchandise managers (PMs), designers, and operations workers to get additional immediately engaged in shipping software.

"We established that really there were a lot of PMs akin me as fine as designers who really really wanted to change to production," Benjamin Ong, Lightsprint's cofounder and CEO, told Business Insider.

AI has changed the activity of designers and merchandise managers. Designers increasingly use generative AI tools to create first concepts and prototypes faster, during merchandise managers are using agents and vibe-coding tools. The US Bureau of Labor Statistics projects a 5% growth in web and digital interface decorator occupation from 2025 to 2035.

Ong stated application betterment has traditionally engaged a lengthy sequence of handoffs: a merchandise director writes a requirements document, engineers measure specialized feasibility, designers create mockups, and engineers ultimately rebuild the characteristic in code. That could obtain up to two to three months.

The startup, which Ong, Benedict Chan, and Heng Hong Lee founded before this year, is positioning itself against the fragmented tools many companies use to build products — including prototyping application specified as Lovable, scheme application akin Figma, and coding assistants specified as Anthropic's Claude.

Lightsprint says it's a one-stop shop that connects to a company's existing code. Then its agents can compose merchandise requirements documents, create code, and create live previews. After, individual engineers can assessment the code and decide whether to add it to their software.

The startup began operating alongside first users in April and now plant alongside complete 100 companies. Lightsprint went through Y Combinator's Spring 2026 batch. 645 Ventures led its seed round, alongside alongside January Capital, Rebel Fund, and angel investors, including Opendoor CEO Kaz Nejatian.

The startup has a six-person squad divided between San Francisco and Singapore. Ong stated the new backing volition go toward hiring in endeavor sales, marketing, design, and engineering.

"We're seeing merchandise managers, designers, and equal endeavor teams build features and present high-quality code changes themselves, during engineering stays in control," stated Ong.

Check out the pitch deck it used to safe the funding:

Ukraine's Operation Vivaldi, a important counteroffensive shove to retake district in the east, is showing that equal as drones change the battlefield, ordnance remains an crucial tool for holding gains and keeping the enemy off balance.

Unfolding near the city of Lyman, Operation Vivaldi has relied on drones and robotic systems, as fine as several new battlefield tactics, to accomplish key wins, but ordnance has additionally been crucial to the operation's success.

Ukrainian forces had recaptured 176 quadrate kilometers of district by the end of September, according to the Third Army Corps, the guide unit.

The Institute for the Study of War, a US think tank, wrote on Friday that reports signify that Ukrainian forces "heavily relied on ordnance strikes in command to forestall Russian forces from regaining misplaced positions during Operation Vivaldi."

It stated those efforts demonstrated "how ordnance remains applicable equal in modern, drone-dominated battlefield conditions. "

The ISW appraisal cited an update from the Third Army Corps that stated it had, for the intent of executing this operation, "assembled among the largest ordnance formations of any corps — deploying so many systems per kilometer of the forefront that blaze could be maintained continuously, equal if idiosyncratic guns were knocked out."

The component stated its "artillery turned 'Vivaldi' into a slay area for the enemy!"

Drones worked alongside ordnance to discover targets that the ordnance afterward destroyed, the component said. "The ordnance deprived the enemy of the capability to maneuver or come back fire, allowing the Third Corps' assault troops to keep pushing forward."

It stated that the 52nd Separate Artillery Brigade and the missile ordnance units of multiple brigades were capable to keep multiple settlements under fire. "Russian forces could not bring up reserves, equipment, or munitions to try to reconstruct their misplaced positions."

The Third Army Corps stated strikes by Ukrainian HIMARS, the US-made High Mobility Artillery Rocket System, destroyed additional than 20 ordnance guns, two Buk air defence systems, and two transport-loading vehicles, and additionally struck Russian command posts that were at the component flat or higher.

The commencement of Russia's full-scale intrusion of Ukraine was a war of artillery, but drones quickly became a key weapon, alongside the two militaries using them to initiate attacks, collect intelligence, and assistance straightforward another weaponry.

In July, Mykhailo Fedorov, then-Ukraine's defence minister, stated that drones accounted for about 95% of Russia's front-line losses.

Drones are taking on new roles, as are another robotics systems, and that's been apparent throughout Operation Vivaldi. The Third Army Corps stated final duration that it was using airborne drones to drop explosive-laden robots rearward Russian lines, saying it "was the archetypal in the earth to commencement air-deploying dirt robotic systems."

The achievement of drones has sparked debate in the West complete what drones average for additional traditional weaponry akin tanks and artillery. The second appears to motionless have a part to play.

Ukraine is evolving multiple new ordnance systems, and in June, its commander-in-chief announced plans to modernize the ordnance forces, describing ordnance as among the chief tools on the contemporary battlefield.

Western analysts say ordnance remains vital, particularly whenever employed alongside a growing drone arsenal.

Analysis published by RAND final duration stated that during attack drones "offer unprecedented operational agility, they cannot independently resolve all tactical problem." Heavy ordnance has remained essential against hardened, protected infrastructure, they wrote.

Ben Jarvis, the UK's curate of province for security, stated in June that "there are several who clasp the perspective that we should commerce everything in the locker for drones. I comprehend the temptation, but there are crucial distinctions to make."

"Even in Ukraine, amid bonzer advances in technology, it is motionless a war clashed in the trenches anywhere dirt is held street by street, and anywhere the attain of ordnance and profound precision attack has proven invaluable."

This discussion is according to a conversation alongside Jake Dell, 39, the owner of Katz's Delicatessen in New York City. It has been edited for dimension and clarity.

I've been coming to Katz's Delicatessen since before I could crawl. My grandfather, father, and uncle took complete the deli in 1988, 100 years following it was initially established.

My dad would frequently be current six or seven days a week, so I would arrive downward current all the time. I recall being about 7 and operating at the soda station.

I had my 6th anniversary at Katz's. We welcomed my entire first-grade category and had a array at the back. My parents had organized a magician. We ate hot dogs and had a awesome time.

They didn't have to close the restaurant for that, as we weren't as globally celebrated as we are now. That iconic "When Harry Met Sally" environment alongside Meg Ryan and Billy Crystal motionless draws group current nearly 40 years on. When you rewatch the first scene, nowhere does it say "Katz's" — but our regulars knew us correct away. We get group reenacting it, and we've had group propose at the identical table.

They did near the deli for my bar mitzvah. We had concerning 100 guests, but it motionless wasn't a fancy affair. People went up to the oppose and ordered any sandwiches they wanted. We had a dancing flat at the back.

The flesh cutters are our most extremely paid shop staff

I officially picked up a meat carving knife at the age of 21. To be a flesh cutter, you have to activity your way through the distinct stations, so by the period you get to that point, you'll normally have been operating current for 10 or additional years.

Ultimately, it's not a accomplishment that needs a Ph.D. to learn. But that function represents specified an crucial part of our business. It's concerning values and whether that individual has rotate into family here. The cutters are our most extremely paid shop staff.

I had really planned to study medicine and rotate into a doctor. I had taken all the pre-med classes in college, and I was getting prepared to discussion for med academy during I was operating here.

I took a gap twelvemonth between university and medicinal school, and continued operating at Katz's. That's whenever I had to think concerning whether I wanted to obtain my own way or go into the business.

It dawned on me that, if I didn't get involved, afterward perchance the endeavor would disappear, particularly if my begetter and uncle always had to market it since there would be no one alternatively to obtain over. A developer could tap it downward and substitute it alongside a big building. New York is a vicious place, so I'm not going to refuse that item I had to aspect into my decision. A location akin Katz's is extremely crucial for the nostalgia and tradition that provision the city life.

But I didn't desire to create a decision according to guilt or pressure, that I would afterward arrive to regret. I wanted to create certain I was doing it from a location of love.

So, during that twelvemonth off between undergraduate and med school, I cut in affection alongside this location additional deeply and realized this was really my calling.

My dad and uncle provision me 'constructive input'

I formally joined in 2009. One of my family's requests was to prosecute an MBA. I enrolled in a program that allows you to study during working, going to academy at night, and on weekends.

That's whenever my begetter and uncle started strolling distant before officially retiring. They're in their delayed 70s now and arrive in for lunch. They provision me their "constructive input" — would it be a family endeavor if they didn't?

I was really in the thick of it from 2012 to 2015 whenever I was studying. We were additionally transitioning to a 24-hour operation. I would try to remain up all night, afterward arrive rear to the deli for lunchtime.

Things are distinct now — my kids are 5 and 3, and I create it a item to be residence for dawn meal and for meal all day. I additionally create a item to be residence on weekends as much as possible.

I motionless inspect the shop cameras periodically whenever I'm home, and answer emails and texts. But trying to be current at this phase of existence alongside my family is top of my precedence list.

It's a squad of concerning 200, and we have not fair the deli, but a warehouse, a smokehouse, a shipping facility, a catering business, and an events business. They all have managers, so I've learned to be everyplace at once, without being physically everywhere. We do a lot of promotion to attain all our distinct audiences — we've had DJs akin Diplo execute live sets, we do carving events at museums, and we equal had a gathering alongside Prada.

I'd affection my kids to obtain complete one day

Do I secretly anticipation one of my kids wants to obtain complete from me? Of course. But I'm not going to power it on them. I'm going to display them what I affection concerning it.

And perchance one day I'll arrive in for lunch to see them at work. I cognize that several of the finest times in my existence were whenever I would arrive in to have lunch alongside my dad and my uncle. I took it for granted at the time, but now I see how particular it was.

Google’s John Mueller suggested that a alter of location for a domain and website can obtain longer than four months to process. He additionally provided understanding on how to forestall that from happening in command to have a improved outcome.

Curious Domain Migration Experience

A location owner reported on Reddit that they had a prosperous domain immigration at the commencement of 2026 and everything progressed comparatively smoothly alongside traffic completely restored by April.

Four months afterward Google restored the old domain’s hunt visibility, basically deindexing the new domain and resurrecting the old type in the hunt results. Site visitors clicking to the old domain were motionless being redirected to the new version, which hunt console began reporting as crawled but not indexed.

They explained:

“So I have a website that was doing extremely well, particularly on Google. At the commencement of 2026, I changed the name and domain so that one additional topic could be covered. Did all the redirects, Change of Address, and inner name changes correct distant so traffic restored quickly about the commencement of April.

Everything was indexed on the new location and the new domain was getting about 5,000 impressions per day. Four months later, Google abruptly reverted everything rear to the old domain.

More than 5,000 pages of the new domain were changed to Crawled, Not Currently Index and the new domain now gets 20 impressions per week.

But if I open GSC on the old domain, everything is there. The complete old domain was abruptly indexed all complete again and all the impressions and clicks are showing there.

So one article shows up on Google under the old domain and whenever you click it, it redirects to the identical article under the new domain and counts as a regular perspective for the new domain.

Why would Google abruptly revert this four months following everything was fixed? How do I fix this? Do I really have to fix this since the impressions and clicks are motionless there, fair being redirected?”

Many Details Missing

The individual sharing their cognition doesn’t say if they crawled their new domain to see if there are any inner links that are hardcoded alongside complete URLs using the old domain name alternatively of using a related URL.

Here’s the difference:

• Absolute URL: www.example.com/some-page.html
• Relative URL: /some-page.html

Sometimes complete URLs can sneak into the location navigation, footer navigation, or inside the satisfied itself as contextual links. The finest way to capture those is to provision the old domain a complete crawl alongside Screaming Frog previous to the domain name immigration in command to acknowledge those stray complete inner links.

Another crucial item missing is how they redirected the old domain to the new domain. Was it a domain registrar-level redirect that preserves URL paths or was it a URL to URL redirect? The registrar-level redirect power not maintain document paths. HTTPS forwarding may neglect if the old domain doesn’t have an SSL certificate.

Another matter that can possibly complicate a immigration are chained redirects.

And here’s a big one: Redirects can sometimes neglect whenever or if the navigational construction on the new location changes.

Lastly, the individual asking the inquiry on Reddit did not signify if they updated their XML sitemap. This matters since XML sitemaps communicate preferred canonical URLs to Google. If the sitemap motionless lists the old domain, it could dispatch conflicting canonicalization signals during the migration.

Google explicitly mentions the usefulness of sitemaps as part of a URL migration:

“Submitting a sitemap can assistance create the finding procedure quicker, and it’s fine to move your location in sections.”

That direction presumes that the sitemap is for the accurate domain name, right?

Google’s John Mueller offers his inner cognition of another things to avoid.

John Mueller’s Advice For A Successful Domain Migration

Mueller responded that sometimes the domain name immigration can obtain an additional lengthy time. He additionally recommended doing a hunt console alter of location for the two WWW and non-WWW versions of the domain name.

He responded:

“Happy to obtain a appearance if you desire to DM me the domains. Sometimes things fair obtain a particularly lengthy period to be completely processed.

One item which we noticed (and adjusted in the records a during back) that can assistance is to create certain that you have alter of location set up in hunt console for the two www and non-www , so that it can completely migrate the domain.”

Canonicalization And Site Migration

The WWW and non-WWW domain versions of URLs for a alter of location is a fine catch. There could be links from exterior of the location that are linking to one or the another that could be contributing to Google choosing the old domain as the canonical.

For diagnosing a location immigration gone wrong, it’s not unreasonable to method it as a canonicalization issue. Canonicalization is whenever Google chooses one domain or URL complete all others as the one to indicator and rank.

Featured Image by Shutterstock/Mulad Images

Apple's defending its allocation moat by environment up one about your home.

At 9 a.m. ET, the business volition clasp an event — "Welcome Home" — anywhere it's expected to unveil several smart-home devices as part of its bigger scheme in the space.

Details are scant. Apple's teaser lone includes a catchy tune and person doing a trendy hobby (cross-stitching).

But according to Bloomberg's Mark Gurman, we'll study additional concerning HomeView, which volition assist as a kind of hub to engage alongside and straightforward Apple's astute devices in your home.

In September, Meta amazed everyone alongside an AI equipment called Charm tied to its buzzy AI agent, Muse. It additionally showed off its new VR Glasses, which are lighter and cheaper than the Apple Vision Pro.

Charm is scheduled to container for the holidays, during the Meta VR goggles are coming next spring.

The following week, OpenAI announced its own AI agent, Dots. While there was no important hardware announcement, the long-term goal is to publish something alongside iPhone decorator Jony Ive. OpenAI CFO Sarah Friar teased it a bit this June.

All of this matters since these hardware products average tech companies would no longer depend on Apple for distribution. The iPhone's enormous attain is basically a toll tech companies must pay to get their apps into people's hands.

That's allowed Apple to evade investing as heavily in AI since it controls the key way to consumers. It additionally hasn't forced it to rethink the iPhone too much. After all, why disturb the aureate goose?

Investors have rewarded Apple for its avoidance of enormous AI budgets. Its inventory is up additional than 25% this year, outperforming Alphabet, Amazon, Meta, and Microsoft.

But the former few months display the possible for change.

Look how quickly Apple's big hardware notice final month, the iPhone Duo, has taken a rear place to chatter concerning AI agents and their accompanying devices. Meta's inventory is up additional than 11% complete the former month, during Apple's is up fair complete 2%.

That's why pushing into smart-home hardware makes sense. If Apple can cement its hardware in your residence during it motionless has you hooked on the iPhone, that represents another hurdle for tech rivals.

At a period whenever AI is making us rethink our interactions alongside technology, Apple wants to create certain its home is in order. And the finest way to do that is to go following yours.

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• Robert Hart

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In August, my family of five moved into a new residence on the Gold Coast, Australia. We'd been living in my parents' home since January, following an interstate move from nation Victoria.

When we remaining Victoria, we put all our belongings in storage because we weren't certain how lengthy we'd be staying on the Gold Coast. So, whenever it came period to move into our new digs, we exactly lone had a fistful of items.

We did a quick online search, asking how much we would apt have to expend to furnish a three-bedroom duplex in that area of the world. The AI-generated evaluation was anyplace from $8,000 to $16,000 AUD (about $5,580 to $11,150 USD). We're a family of five on a tight budget, and that benevolent of outlay seemed beautiful steep.

And so, we decided to furnish it alongside secondhand items. We purchased nearly everything on Facebook Marketplace or in op shops, apart from our bedding and several galley staples akin a cutlery set.

Buying secondhand proved to be a fun cognition alongside all kinds of perks.

It's saved us thousands

Saving prosperity was a biggie for us. All up, it disbursal approximately $5,200 AUD to furnish the property, which meant we could put the prosperity we would have spent on purchasing new items to another use.

As we established items online, I'd frequently inspect the recommended retailing cost for comparison. For example, we purchased a king-sized bed, mattress, and two flank tables for $650 AUD. The identical exact bundle would have disbursal $2828 AUD new (without the mattress). We scored a barely used lotion couch for $800 AUD, which would have retailed for about $2800 AUD.

In general, buying secondhand meant we were lone paying a fraction of the cost compared to purchasing new. This has saved us thousands of dollars overall.

It removed indecision and time-wasting

When my hubby and I were furnishing our first residence together in Melbourne, we shopped about and visited multiple furnishings stores before purchasing our furniture. This was time-consuming and frankly, fairly torturous alongside a 2-year-old trailing along. But purchasing everything secondhand this period made the procedure easier and additional streamlined.

There was no agonizing complete which category of fridge or array was right. If it looked reasonable, fit the space, and was affordable, afterward we took it.

It's injected additional character into our home

I don't have much of an eye for decor, but purchasing on Marketplace has helped add flair to our home. When I came throughout a female marketing a bunch of flora and distinct styles of stands in a bundle, for example, I snapped it up. It's now one of my favorite areas of our home.

The thrill of the hunt was fun

As the weeks passed, I established myself getting addicted to buying for secondhand items, the two online and in stores. There's item concerning finding a beautiful part for a fraction of its first cost that gives you a genuine buzz.

One of my favorite op shop finds was a beautiful oversize pale create bowl. Underneath, it says, "Made in Italy," and whenever I appearance at it, I discover myself wondering concerning the journey of anywhere that basin began, who it formerly belonged to, and how it made its way to me.

I enjoyed the bargaining process

We've traveled through many countries anywhere bartering is part of the culture, and I secretly loved dusting off those idle bargaining skills.

When we turned up to buy a fridge lone to detect a dent on the front, I negotiated the seller downward $50 AUD. A small win, perhaps, but one that helped our hip pocket.

The sustainability aspect appealed to us

Giving absolutely fine secondhand furnishings a new lease on life, fairly than contributing to landfill, has made us awareness fine concerning our choices. Along the way, we've discovered so many beautiful pieces, and many of them have their own stories.

There's the beautiful oak dining array whose owner was genuinely sad to part alongside it, as he and his delayed spouse had shared countless meals about it. A stunning king bed and bedside tables purchased from a Scottish man living in a high-rise overlooking the ocean. A repurposed lamp, handmade by a grandma and stated new life.

Of course, purchasing secondhand requires patience. Sometimes you display up lone to detect that the seller's type of "good condition" is distinct from yours. But for us, the trade-off has been 100% value it.

We've saved thousands of dollars, rehomed absolutely fine furniture, and ended up alongside a residence that feels additional engaging than a cookie-cutter manner setup always could.

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Character.AI, the chatbot startup founded by erstwhile Google researchers, has submitted for bankruptcy.

The California-based business stated it had initiated a voluntary Chapter 11 procedure in Delaware to prosecute a court-supervised transaction of all or substantially all of its assets.

Character.AI, which lets users create personalized AI bots, stated its phase would remain online during the sale process, which it expects to complete by delayed November or first December.

The business has accepted to let Disney Worldwide Services, an affiliate of the Walt Disney Company, act as the beginning bidder for a non-exclusive, perpetual licence to certain Character.AI intelligent asset and claims.

Disney stated it would pay $20 myriad and provision passage services using erstwhile Character.AI workforce it has hired. Other possible buyers can motionless create higher bids under the bankruptcy process. Last month, Disney hired erstwhile Character.AI CEO Karandeep Anand as its CTO.

Character.AI's CEO Colin Adams stated in a Monday declaration that it had taken steps to "sustain and improve" its endeavor amid "significant legal, regulatory, and operational headwinds."

"After a thorough assessment of our accessible alternatives, our commission resolute that this court-supervised transaction procedure provides us alongside the finest chance to maximize value for all of our stakeholders," the business stated in a blog post on Monday.

The startup stated paid subscriptions remain energetic and billing is unchanged for now. But it warned that if the transaction does not create a bid adequate to keep the phase running, it volition breeze downward the service.

Character.AI hit alongside lawsuits

Character.AI did not enchantment out the legal, regulatory, and operational pressures that led to the filing. But the business has faced expanding scrutiny complete the possible consequence of its AI companions on young users.

It announced final twelvemonth that it would ban under-18s from having open-ended conversations alongside its chatbots, following concerns concerning AI's effect on children and teenagers.

Prior to that, Character.AI had faced lawsuits from families who alleged its chatbots contributed to teenagers' mental-health crises. Earlier this year, Character.AI and Google accepted in regulation to settle multiple of those cases, including claims brought by families of teenagers who died by self-destruction or informed self-harm following using the chatbots.

One Texas lawsuit alleged that a Character.AI chatbot encouraged a adolescent to kill his parents complete limits on his display time. That case was among those the companies accepted in regulation to settle. The conditions were not disclosed.

The startup was founded in 2021 by former Google researchers Noam Shazeer and Daniel De Freitas. Google rehired the pair in 2024 and paid for non-exclusive entitlements to use Character.AI's technology, during the startup continued as a distinct company.

Character.AI stated its privacy and safety practices remain unchanged during the bankruptcy process.

It stated users can continue to admission its services and export their data or delete their accounts through its app or website.