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Google Pay is testing a new fashion and lifestyle shopping feature in India, bringing personalised recommendations, virtual try-on and visual search to its payments app. The pilot lets users browse clothing and fashion trends, see how select items look on them and find similar products using images. Google is currently testing the experience with a limited number of users and has not announced when it will reach a wider audience.
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OpenAI announced in September that it planned to reduce the usage limits for select ChatGPT Pro subscriptions without reducing the price tag. The company now seems to be reversing its decision. In a statement, an OpenAI official has revealed that it will double usage limits for several ChatGPT Pro subscriptions. The revised limits are also said to be applicable to Business Premium. OpenAI will also continue to offer extended usage limits for its personal AI agents.
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Google launched its latest frontier AI model late last month, named Gemini 4 Carbon, with agentic and enhanced cybersecurity capabilities. The AI model was released just two weeks after the Mountain View-based tech giant released Gemini 4 Argon, another AI model with agentic capabilities. During the announcement, Google published multiple benchmark results to showcase the capabilities of the Gemini 4 Carbon. Now, SemiAnalysis has published results from its new GDPx benchmark that tests the agentic capabilities and cost efficiency of AI models, comparing results of multiple models. On the benchmarking platform, Google's frontier AI model came in second position, while being the most cost-efficient among the top five.
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Samsung's first AI-powered smart glasses, reportedly called Intelligent Eyewear, are expected to go on sale in South Korea and the US in mid-December. According to a report, the initial launch will exclude markets such as Japan and Europe, with the company planning to expand availability depending on early demand. The smart glasses are built on Google's Android XR platform and integrate Gemini AI. They are expected to offer features such as real-time translation, voice navigation and automatic note-taking.
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OpenAI is working with security firm Cathedral to find weaknesses in its systems. Researchers from both teams will use OpenAI's AI models to test its defences and check whether potential fixes work. The company is also raising rewards for critical vulnerabilities reported through its Security Bug Bounty programme by more than four times. The latest exercise follows an earlier round of security testing in which OpenAI assigned 25 percent of its product engineers to finding and fixing vulnerabilities.
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Anthropic has introduced Message Threads in public beta on the Claude Platform. The new feature is intended to reduce response latency in long-running AI agent sessions. It eliminates the need to resend the entire conversation history with every API request. With Message Threads, developers can share new messages and the ID of the previous response to get responses. Anthropic confirmed that the new feature is enabled by default for most Claude Code users.
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Y Combinator CEO Garry Tan has, in the past,jokingly admittedthat he’s suffered from “cyber psychosis” and sometimes barely sleeps because he’s so excited to be working with his AI agents. On a new episode of Walter Isaacson’s podcastThe Builders, set to publish on Tuesday, Tan put a price tag on his passion. “I spend about maybe $100[,000] to $200,000 a year on tokens,” he told Isaacson. He uses agents for countless work projects and coding tasks and has freely shared his set of 23 Claude Code skills,called gstack, on GitHub — an effort to help teach others what agents can do, he said. On the one hand, he uses his agent the way many people use AI: to help him research Isaacson’s podcast and prep for the kinds of questions he might be asked. On the other, his agent also helps him run his life. “It’s read all of my email and all of my Dropbox. It’s read, like, all of my Apple Notes, even my therapy notes going back 20 years,” he said. He describes using AI agents as getting help with “almost anything that you do in your day-to-day life, and for it to do it somewhat more autonomously. Think of it as a Jiminy Cricket on your shoulder at all times. Like, almost anything you want to do, it knows you, and it’s there to help. And it will actually sort of run ahead and say, ‘What about this?’ Or it’ll help you see around corners.” As an early OpenClaw adopter who is now a power user, Tan says one thing he’s learned is not to treat AI agents like traditional software. Some people are so worried about “repeatability and safety that they actually trade off all of the beautiful parts of working with an AI agent, which basically can be so similar to a human,” he said. For instance, Y Combinator is also using an agent that is “rebuilding the way we operate at YC,” he said. “We now have an internal AI agent, for instance, named Stray Light that kind of has a personality, and then it has a company brain. Like it actually has the total context of every founder we’ve ever backed, anyone who’s ever emailed us, like all the applications.” Tan, who is, naturally, an avid lover of technology (as anyone running Silicon Valley’s famed startup accelerator would be), believes personal AI agents will eventually become mainstream, if one major problem is solved: Costs have got to come down. “It’s too expensive right now,” he said, adding that he knows the amount of money he spends on AI agents is “a crazy privilege that not everyone can do.” But freebie agents controlled by Big Tech maybe aren’t the answer, either. When discussing the future he’d like tech to build, and how Meta as a social media company has impacted us, he said, “This is a huge company that controls the algorithm, and we all wish that they didn’t at some level,” he said. “So you could imagine a personal AI that you control, that you program.”

Apple’s services business remains at record levels, but it’s facinggrowing pressure. The central part of that business, Apple’s App Store, has faced regulatory pressure and a slump in mobile gaming, which havehurt services growth. However, on Monday’s earnings call, Apple signaled that it may look to boost services revenue through third-party apps. What does that mean, exactly? Unfortunately, it’s not entirely clear. When discussing how AI could potentially “contribute to revenue growth over time,” Kevan Parekh, Apple’s chief financial officer, said: “On the product side, you know, we feel AI offers a compelling reason for customers to upgrade and switch in order to get the latest capabilities, and we also feel there’s opportunities across third-party apps and partnerships as well as first-party opportunities.” Parekh did not elaborate on what sorts of opportunities might be available via third-party apps. However,Reuters reportedMonday that investors are wondering whether Apple could profit by distributing third-party AI agents through the App Store and taking a cut of the revenue they generate. Regulatory and legal changes have cut into App Store commission revenue in some markets, even as Apple’s services business as a whole continues to grow. Third-party estimates in August, for example, suggested the company had seenan 18% dropin U.S. commission revenue, with declines also in Brazil and Japan after those countries introduced new regulations. Apple has traditionally controlled payments within its app marketplace tightly, taking a cut of all App Store transactions. But alawsuit by Epic Gamesultimately forced the company to allow apps to redirect users to outside payment systems. Other legal challengesthroughout the worldhave further hampered the business. During the earnings call, Parekh referenced Apple’s App Store woes and returned to the idea that the company’s service business could expand into new territory. “We’ve also seen some factors that impacted the performance of the App Store, and during the September quarter, the performance on the App Store was similar to the prior year, and we had a record number of paid subscriptions with double-digit growth for third-party apps on the App Store,” Parekh said. “At the same time, we did see some headwinds in mobile gaming that we’ve talked about before, and expect to see those continue into the summer quarter.” Parekh added: “As we move ahead, we expect services growth to be between 8 to 9% [in the December quarter]. This outlook contemplates our best estimates on sequential headwinds, primarily from third-party licensing and the additional half percentage point of foreign exchange I just mentioned.” TechCrunch has reached out to Apple for more information and will update this story if it responds.

Google has launched itsexperimental AI app Dreambeansin India, its first market outside the U.S., as the company looks to tap the world’s second-largest internet market to bring personalized visual stories drawn from users’ digital activity to a broader audience. On Monday, Google expanded Dreambeans, available on Android and iOS, to India with support for 13 local languages, including Hindi, Punjabi, Tamil, Telugu, and Bengali, alongside English. The launch comes less than two months after Google made the appavailable to all eligible U.S. usersaged 18 and older. Introducedin June, Google’s Dreambeans uses information from connected Google services, including Calendar, Gemini, Gmail, Photos, Search, and YouTube, to proactively generate personalized, illustrated stories about users’ interests and everyday lives, without requiring them to enter a prompt. The app initially featured static, AI-generated illustrations, but Google recently added a feature that uses its Veo video-generation model to even animate images in select stories. Google said it chose India as Dreambeans’ first international market because of strong interest from Indian users seeking access to the app and the widespread use of its services in the country. India stood out for its high overlap of users across Gemini, Gmail, and Google Photos, Google product manager Gozde Oznur said during a press briefing. Dreambeans has recorded nearly 55,000 downloads in the U.S. since its June debut, according to estimates from market intelligence firm Sensor Tower shared with TechCrunch. About 63% of those downloads came in September, when Google opened the app to all eligible U.S. users aged 18 and older. However, downloads dropped 84% month over month to about 5,500 in October. In the first 30 days after Google opened Dreambeans to all eligible U.S. users, the app recorded an estimated 29,000 downloads, compared with 7.4 million for Meta’s Muse, 2.8 million for ChatGPT, 362,000 for Grok Bot, and 155,000 for Claude during their respective first 30 days after launch, Sensor Tower estimates show. However, unlike those general-purpose AI apps, Dreambeans focuses on generating personalized stories instead of responding to a broad range of user queries. Even though Dreambeans supports many widely spoken Indian languages, users can select only one language at a time for their generated stories. The app can draw on information across Google services in multiple languages, but it cannot currently generate stories that mix languages, Oznur said during the briefing. That could limit Dreambeans’ appeal in India, where many people regularly switch between languages, including Hindi and English, often mixing the two in what is commonly known as Hinglish. Dreambeans’ dependence on information from users’ Google accounts also raises questions about privacy and data access. The app usesGoogle’s Personal Intelligence technologyto draw on connected services and personalize its AI-generated stories. Those services can contain sensitive personal information that some users may not want to share with an AI app just to receive personalized content. Users can choose which Google services to connect to Dreambeans and disconnect them at any time, Oznur said. They can also delete their Dreambeans data from within the app. Moreover, Oznur asserted that information deleted from the underlying connected services is also removed from Dreambeans’ personalization system. Users, Oznur said, can tell Dreambeans to avoid certain subjects, including business-related information, and the app will try to adjust its stories accordingly. She added that Dreambeans is available only to personal Gmail account holders, not enterprise users, and that generated stories are visible only to the account holder. Dreambeans’ proactive approach also carries the risk of surfacing memories that users may find upsetting. Oznur acknowledged that Dreambeans could generate stories involving people who have died, for instance. She said users can tell the app to stop showing certain subjects, comparing the feature to controls in Google Photos that let users limit which memories appear. Oznur told reporters that Google is exploring ways to make Dreambeans more actionable, moving beyond personalized stories and recommendations to help users act on the app’s suggestions.

Apple’s AI-powered “Audio Intelligence” technology for the Apple Watch is rolling out into beta testing on Tuesday, initially for developers in the iOS 27.3 update, after first being announced at the company’sSurprise and Shine hardware eventin September. The technology includes a set of four opt-in AI features that allow Apple Watch Series 12 wearers to detect important sounds, identify songs, catch up on conversations, and take notes. The news was announced via a press release sent out via Apple in India, but the update has not yet rolled out in the U.S. market as of this morning. The sound recognition feature will help deaf and hard-of-hearing users identify important sounds like sirens, alarms, or doorbells from their watch, while the song recognition feature taps into Apple’s Shazam app to detect music playing in the background and identify the song name and artist. However, the more potentially controversial features are those that listen to human conversations: Live Rewind and Siri Recaps. Given the backlash to AI recording devices, like Meta’s AI glasses and other AI wearables, Apple has attempted to carve out a space where the features can be useful to Apple Watch owners, while still respecting the privacy of those around them. With Live Rewind, the idea is to let you go back in time to see what someone just said, in case you missed it. For instance, if someone was giving you verbal directions or reading a long list of specials at a restaurant, you could double-press on the Watch’s digital crown to see what was said in the last 15 seconds as a text snippet displayed on the watch face. You can view this snippet and then do nothing, and it will disappear permanently. Or you can save it tothe stand-alone Siri appthat shipped with iOS 27 for later access, which might be helpful if you’re trying to remember someone’s name or take a quick note from a fast-paced presentation. Apple says that users will also be able to tap an “Ask Siri” option that appears below the text snippet if they have questions about something that was said — like a technical term they don’t understand, or perhaps some sauce option the waiter mentioned that they’re unfamiliar with, among other things. When you double-press the digital crown, an audible chime appears and an animation displays on the watch. This is meant to signal to people through the combination of the gesture, sound, and visual display that you’ve recorded something that was said. These snippets will be deleted automatically after 30 seconds if you don’t save them. The other option, Siri Recaps, takes this ambient listening technology even further by allowing Apple Watch owners to take high-level notes of their conversations. Importantly, Apple says it’s not identifying speakers, saving the raw audio, or providing word-for-word transcriptions. Instead, the feature summarizes a conversation with a short sentence and some bullet points that identify key points. For instance, depending on the topic, the bullet points might include things like important dates or deadlines, pricing or payment plan information, and other factual information. Apple suggested the feature could be used in scenarios like work meetings, parent-teacher conferences, personal training sessions, or other places where you may need to remember what tasks you have to complete or things that were said. Essentially, it’s supposed to mimic a user’s ability to jot down their own notes — without adding emotion or tone. This could be helpful particularly at times when you aren’t able to write up your own notes, either because your hands are full or you’re trying to concentrate on whatever’s being said at the time. The recaps won’t record conversations when you’re listening to music with your headphones or using their noise cancellation features. At the end of the day, you’re prompted to review your saved Siri Recaps when the feature is enabled, and then choose which, if any, you want to save. These notes can be saved to your Notes app or even exported to your Journal app, if they’re more personal in nature. If you do nothing, the recaps will delete themselves within seven days. This reminder to review the Siri Recaps you’ve recorded also appears when you first unlock your Apple Watch in the morning. Users can opt to enable the Siri Recaps manually, or they can configure a schedule, such as only having the recapping take place while at work, or making sure that they never run at night. Even if they’re running on a schedule, you can still turn off the recapping feature at any time from the Control Center. Apple notes that Siri Recaps has been designed to omit sensitive information like government-assigned identifiers, financial and authentication data, certain personal identifiers, and any language that would promote self-harm. The Audio Intelligence features for the Apple Watch Series 12 and Apple Watch Ultra 4 rely on a combination of Apple’s hardware, software, and services. This includes the S11 chip, built-in microphone, and the Apple Intelligence models that run on the iPhone, as well as Apple’s Private Cloud Compute. The always-on processor includes a secure enclave — a hardware-protected memory space that can’t be accessed by the rest of the operating system — where a dedicated audio buffer processes the raw audio. This allows the audio to be processed without it actually being accessible to anyone, including Apple. The audio is only accessible to the paired iPhone through a secure pairing mechanism between it and the watch. To work, lightweight AI models on the S11 chip on the Apple Watch detect if there’s a conversation happening that the wearer is a part of, which is then transferred to the secure enclave on the iPhone. On-device processing on the iPhone turns the audio into condensed text, meaning the text of the conversation with the filler words removed. This condensed text is then encrypted and sent to Apple’s Private Cloud Compute (PCC) to create the recap of the conversation that is sent back to the phone. (The recap and any summarizations used to create it are deleted from PCC immediately afterwards.) The recaps you can then access on your iPhone are only accessible to you, not to Apple. And they’re encrypted when they’re synced between your multiple Apple devices. Similarly, Apple Watch transfers audio to the iPhone for processing to create the 15-second snippets for Live Rewind. Apple says none of these features should impact the battery life of your watch or phone. The features will later roll out to the public beta for broader testing before becoming publicly available to all. Post updated to indicate that the updates have not yet rolled out in the U.S.

Tomorrow is it!TechCrunch Founder Summit, presented by Fidelity Private Shares, brings founders and investors together at Boston’s SoWa Power Station for a full day focused on building what comes next. Secure your ticket savings before prices increase when doors open at 9 a.m. ET. Whether you’re attending solo, bringing a co-founder, or rallying your team, there’s a deal for everyone: Don’t wait until doors open.Lock in your savings now. One day to tackle the questions founders carry all year: Founder Summitputs those questions at the center of the day.Explore the full agendato get to know the scaling experts leading the sessions. Head to theBuild Stagefor tactical lessons around fundraising, distribution, teams, and pitching. Use theImpact Stageto think about product-market fit, scale, enterprise relationships, and long-term growth. Go deeper in smallerroundtable conversations. Watch founders put their stories to the test during the live pitch competition. Use the Braindate networking app to connect one-on-one or in small groups with people who want to talk about the same problems you do. Then keep the conversation going at the closing reception. You can read founder advice online all year. Tomorrow is about asking the question yourself. Meeting the person. Hearing the answer firsthand. Finding the idea you can take back to your team the next morning. If Founder Summit has been sitting on your calendar as a maybe, this is your final call. TechCrunch Founder Summit, presented by Fidelity Private Shares, takes place tomorrow, November 4, at SoWa Power Station in Boston.Register now and save on your passbefore doors open tomorrow at 9 a.m. ET.
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You can learn a lot from a great founder session. But sometimes the conversation that changes what you do next happens five minutes after it ends. And with the event happening tomorrow, there is another reason to make sure you are in the room: the format is designed to help founders learn in different ways throughout the day. On November 4,TechCrunch Founder Summit 2026brings founders and investors together at SoWa Power Station in Boston for one day of practical learning, candid conversations, live pitching, smaller roundtables, and networking. Register now to save up to $100 on your pass, plus get a second for free. Or save up to 30% ongroup bundles. TheBuild Stagefocuses on the decisions founders make while they are still shaping, testing, and growing the business. These sessions get into the mechanics behind building a company, from distribution and fundraising to team building and pitching. Hunter WorlandofNEAopens the conversation on why distribution can become a startup’s next competitive advantage, especially when strong technology alone is not enough to win customers. Kristen CraftofFidelity Private Sharesbrings a current view of fundraising trends, helping founders understand how the capital environment is shifting and what that means for the way they approach their next raise. The stage also gets tactical about building high-performing teams and sharpening the story you tell investors, customers, and potential hires. Dave BalterofTrue Venturesand Edisyl takes on a deceptively simple question: Does your pitch earn the next conversation? The value of theBuild Stageis straightforward: these are lessons founders can take back to their companies immediately. If the Build Stage is about creating momentum, theImpact Stageis about what happens once that momentum becomes real. This is where founders can step back and think about bigger decisions around product-market fit, scaling, enterprise relationships, leadership, and long-term growth. Steve Fredette, president, co-founder, and director ofToast, brings the perspective of building and scaling one of Boston’s most recognizable startup success stories. Rudina Seseri, founder and managing partner ofGlasswing Ventures, explores the tension every founder eventually faces: when to scale and when hitting the brakes may actually protect the business. Kent BennettofBessemer Venture Partnerstackles product-market fit before scale, helping founders think more critically about whether the signals they are seeing truly justify the next phase of growth. Chase Garbarino, CEO and co-founder ofHqO, brings the conversation home with the Boston Founder Playbook and a perspective on building ambitious companies outside the Bay Area. TheImpact Stageis valuable because it creates space for founders to get out of the weeds for a moment and ask whether they are scaling the right things, in the right way, at the right time. Main-stage sessions can give you perspective.Roundtablesgive you room to get specific. Founder Summit’s smaller roundtables are built around highly focused problems that many founders are actively solving right now, from entering difficult verticals and building enterprise trust to creating lean teams and opening doors with major customers. Chirag ShahofDefine Venturesdigs into what happens when your first vertical is also one of the hardest to enter. A technical session with Shishir Tewari ofProcore Technologiesmoves the AI conversation from broad hype to the practical challenge of reducing hallucinations with better enterprise context. Merve KitapciofADIN.AIgets highly specific about enterprise selling and what it takes to land major global customers before Series A. Andy TangofDraper Associatesopens a different kind of founder conversation: what if you are building something the market does not even have a name for yet? Linden TibbetsofIFTTTexplores how AI may change the assumptions founders make about team size, productivity, and what a smaller company can realistically accomplish. The value here is participation. Instead of simply hearing how someone else approached a problem, founders can bring their own questions, compare experiences with the people around the table, and leave with ideas that are much closer to their actual business. Founder Summit also gives attendees the chance to see what happens when founders put their stories in front of investors in real time. During So You Think You Can Pitch?, founders make their cases in front of investors, includingDave Balter,Chirag Shah, and Simran Suri of Maveron. This is one of the most interactive parts of the day because it turns advice about pitching into something founders can actually watch: what gets an investor’s attention, where a story loses momentum, and which questions come up immediately. For anyone preparing to raise, sell, recruit, or simply explain their company more clearly, seeing those reactions live can be incredibly useful. The Networking Lounge powered by Braindate gives attendees another way to connect intentionally throughout the day. Schedule a one-on-one conversation. Join a small group. Find someone who wants to talk about the exact challenge you are working through. Hear a session on product-market fit, then find another founder working through the same issue. Watch the pitch competition, then compare notes with someone preparing for their own fundraise. Hear the Boston Founder Playbook, then meet other founders doing exactly that. Braindate helps turn the content into conversation. The day wraps up with a closing reception presented by Fidelity Private Shares, giving attendees time to keep the conversations going without rushing to the next session. That matters because some of the most useful connections at an event happen after you have already shared a room, a question, or a conversation earlier in the day. Founder Summit is not built around one type of conference experience. The Build Stage gives founders practical lessons they can apply now. The Impact Stage creates room for bigger growth and leadership decisions. The roundtables let you ask questions and go deeper. The live pitch competition puts founder storytelling to the test. Braindate makes networking intentional. And the reception gives those conversations somewhere to continue. That mix is what makes the day valuable. TechCrunch Founder Summit 2026takes place November 4 at SoWa Power Station in Boston. There is still time to join us in Boston. Current Founder Summit passes include breakout sessions, roundtables, Braindate networking, the Expo Hall, and access to session materials after the event. Even better, buy one pass now, and you can get a second pass free. Bring your co-founder. Bring a partner. Bring the person you will be texting session takeaways to all day anyway.Get your pass, bring someone with you for free, and join the founder community in Boston.
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