Latest AI News
Anthropic Secures Access to 220,000 NVIDIA GPUs Through SpaceX Deal
Anthropic said it is doubling Claude Code’s five-hour usage limits for Pro, Max, Team, and seat-based Enterprise plans.
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Adobe Unveils New Productivity Agent for Acrobat, Adds New Features to PDF Spaces
Adobe unveiled the productivity agent, an artificial intelligence (AI)-powered agentic tool, on Wednesday. Designed for Acrobat, the AI agent orchestrates tools and models to generate images, text, and rich content such as presentations, podcasts, and social media posts. Alongside, the company is also upgrading PDF Spaces, a collaborative space to share documents, with new sharing and publishing capabilities. It can now combine PDFs, documents, links, and notes to create a personalised space for users and viewers. The new capabilities are part of Adobe's paid plans.
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AI boom pushes Samsung to $1T
Samsung reached a $1 trillion valuation on Wednesday as shares of the South Korean tech giant surged more than 10%, driven by the ongoing artificial intelligence frenzy fueling demand for chips. The milestone makes Samsung only the second Asian company to cross the trillion-dollar threshold, after TSMC. The news comes on the heels ofa blockbuster earnings report last week,in which Samsung posted profits eight times higher than the same period a year ago. Every company building AI right now needs chips, and Samsung makes the memory chips that power those AI systems. Demand is surging while supply struggles to keep up, pushing prices higher and boosting Samsung’s profits. There’s another reason shares surged on Wednesday.Reports came outyesterday that Apple has been in talks with both Samsung and Intel to manufacture chips for Apple devices on U.S. soil. Apple has long relied almost exclusively on TSMC in Taiwan for its chip production. If Samsung lands the deal, it would mark a significant shift in the global semiconductor supply chain. At the heart of Samsung’s profit boom is high-bandwidth memory (HBM), a type of chip critical to running AI systems, which has dramatically improved the company’s margins. But the competition is intense. Rival SK Hynix, a South Korean semiconductor giant, is aggressively vying for the same market, keeping the pressure on Samsung to maintain its edge. The AI boom is driving achip shortageacross the semiconductor industry, as the world’s three largest memory chip makers,Samsung, SK Hynix, and Micron, struggle to meet runaway demand from AI data centers. All three companieshave pulled investment away from their consumer chip businessesto ramp up production of HBM, which carries substantially higher margins and has become essential to powering large-scale AI infrastructure. Despite Wednesday’s historic surge, Samsung still faces headwinds. Workers arethreatening an 18-day strikelater this month, demanding a bigger slice of the AI-driven profits. Meanwhile, the company’s phone and TV divisions, which also need to buy those same memory chips to build their products, arepaying a steep price for the samechips powering Samsung’s record profits.
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3 days left to lock in 50% off a second ticket to TechCrunch Disrupt 2026
Three days. That’s all that’s left to decide, not just whether you’ll be atTechCrunch Disrupt 2026, but also who you’ll show up with from October 13 to 15 at San Francisco’s Moscone West — and how much credibility you gain from the opportunity. Right now, you canbuy one pass and get 50% off a second of the same ticket type.That offerends May 8 at 11:59 p.m. PT.After that, prices go up — and so does the cost of showing up without the coverage, visibility, and presence that actually make the experience count. Because at a certain point, what determines how quickly a company moves is whether it is seen, understood, and taken seriously by the people who can influence what happens next. You only have three days left to act. Who will you bring to Disrupt?Choose your ticket typeand lock in your 50% savings. Most founders don’t struggle to generate attention. There are more channels than ever to get in front of people, and more ways to create surface-level visibility. What’s harder, and far more important, is earning credibility. Investors don’t respond to visibility alone; they respond to confidence. Partners don’t engage based on awareness; they engage based on trust. Even early customers are making decisions about what feels established, what feels validated, and what feels worth their time. Across six industry stages,Disruptis designed to show how companies earn trust at every phase of growth — by putting founders, investors, and operators in environments where credibility is built in real time in these practical, hands-on sessions. Builders and operators break down how companies actually scale. Learning from founders who’ve done it, and applying those frameworks, helps you speak with more authority when discussing growth, fundraising, and execution. Explore how leading companies are applying AI in practice. Hearing directly from builders and investors working at the frontier helps founders anchor their approach in what’s proven — not just what’s promised, strengthening credibility with both technical and business audiences. Beyond software, AI is reshaping the physical world. Hear from founders and operators building trusted, scalable systems in robotics, biotech, and edge environments where real-world constraints define success. Money is being rebuilt in real time. Explore how founders are shaping the future of finance through stablecoins, payments, and fintech infrastructure — cutting through hype to reveal what’s actually working in a digital economy. Software is transforming energy, climate, and industrial systems. Explore how founders are rebuilding infrastructure — from data center power to grid bottlenecks — while deploying smarter, scalable systems for a more resilient future. The main stage where top founders, investors, and operators define what matters next. Being part of these conversations and referencing them positions you within the broader narrative of where the market is heading. Bringing a partner, co-founder, or colleague means you’re not just attending, but you’re also reinforcing that credibility across more conversations, more contexts, and more interactions. For the next three days, you canbuy one pass and get a second for 50% off. From October 13–15 in San Francisco,Disruptbrings together 10,000+ founders, investors, and operators in one concentrated environment built for evaluation and discovery. Across 250+ sessions, roundtables, and discussions — and with300+ startupsshowcasing — companies aren’t just seen once; they’re seen repeatedly, in front of the same investors, partners, and media. That repetition is what turns visibility into credibility. A quick introduction becomes recognition. Recognition becomes familiarity, and familiarity builds trust. This is where thebuy one, get one 50% off discountbecomes a real advantage. When you bring a co-founder, operator, or partner, you multiply those moments. You’re not relying on a single interaction — you’re reinforcing your presence across the event. For the next three days, you have the opportunity to do that together at a lower cost. The BOGO50% offer ends May 8at 11:59 p.m. PT. If you’re already planning to be there, the decision now isn’t whether to attend — it’s whether you show up in a way that actually moves things forward.Register here before time runs out.
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At TechCrunch Disrupt 2026, all your M&A questions will be answered
The year keeps moving swiftly, and so is all of our planning forTechCrunch Disrupt 2026! We have an exciting new panel in store for founders in need of merger and acquisition advice … but first, we have a limited-time ticket offer to share. Disrupt will once again be held in San Francisco’s Moscone West from October 13–15, and for a limited time, attendees can also bring a colleague, co-founder, investor, or teammate for less!You can buy one Disrupt 2026 pass here,andget 50% off a second passof the same ticket type with a limited-time offer that ends May 8 at 11:59 p.m. PT. As for the kind of programming that’ll keep you locked in during Disrupt’s three days, let’s dive into our newest panel that will be on the Builders Stage. If you’ve been following our recent coverage, acquisitions and acqui-hires remain in vogue, especially within the AI scene. Whether it’sOpenAI buying Hiro,Anthropic acquiring Vercept,Google taking the team behind Hume AI, orDatabricks pulling in two startups just for its security product, it’s been a busy year! And being acquired is far from being the end of a long road for founders; it can be part of their early-stage journey. And with those, and many other acquisitions in mind, we’ve gathered an expert panel to help equip founders with what they need to know about all the M&A options that lie before them. Their perspectives will equip you with a playbook for creating optionality for potentially selling, ways to make your startup more enticing to buyers, and the realities of going through the acquisition process. And for some background on our panel, let’s learn more about our industry leaders. Aklil Ibssabrings a buyer-side perspective from one of the biggest companies in crypto, as he leads the company’s acquisition strategy and execution, helping identify whereCoinbaseshould buy, invest, partner, or build. He’s overseen more than 14 acquisitions and nearly 50 early- and later-stage investments, and as one of the first hires on Coinbase’s corporate development team, he contributed to an M&A program that’s become among the most active in crypto, with more than 40 total completed acquisitions. Most importantly for founders, he’s seen firsthand how strategic buyers evaluate young companies: whether for technology, talent, licenses, product velocity, and beyond. And he’ll be able to speak to acquisitions, including Deribit, Liquifi, and Echo, and prominent investments in startups like Kalshi. Lindsey Mignanobrings the legal and structural expertise that often determines whether an early-stage M&A deal can actually get to the finish line. As founder of Mignano Law Group, she represents emerging technology companies, SMEs, venture-backed startups, and venture firms as outside general counsel. Her practice spans everything from SAFE notes, priced rounds, and bridge financings to buy-side and sell-side acquisitions, acqui-hires, and everything else you can bring to mind. That uniquely equips her to educate founders without insight into how early M&A readiness can begin. Many of her clients are seed through Series B companies, including enterprise SaaS, PaaS, and AI startups — exactly the kinds of companies now facing strategic interest, and she’ll be able to ground the conversation in the realities of cap tables, contracts, asset sales, and the necessary work for acquisitions to happen. Now it’s time for an investor and operator to join the conversation. As managing partner atM13,Karl Alomarbacks seed and Series A software founders across infrastructure, fintech, developer productivity, and other categories, feeling the brunt of the AI revolution. He has intimate knowledge of the earliest strategic decisions founders make: when to raise, when to partner, when to accelerate growth, and when an acquisition path may create the best outcome for the company, team, and investors. As COO of DigitalOcean, Alomar helped build the cloud infrastructure company from its first product to roughly $250 million in ARR and an eventual NYSE IPO, with its valuation peaking around $15 billion. But as a founder, he’s been a part of the acquisition cycle too. China Export Finance grew to approximately $140 million in revenue before being acquired in 2010, and Clearview Networks was acquired in 2000. That combination gives Karl a nuanced perspective on the core question facing founders in the audience: When should they keep building with their team, and when is M&A the right path forward? And remember:If you register for Disrupt 2026 by May 8 at 11:59 p.m. PT, you can take advantage of that offer to get your pass with savings of up to $410, and get 50% off a second pass of the same ticket type. All the insights Disrupt offers are best shared with a partner or colleague, so don’t miss this opportunity!
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Ethos raises $22.75M from a16z for its expert network with voice onboarding
When companies are looking for opinions or advice on a project, they tend to go to LinkedIn or use expert networks such as GLG, Third Bridge, or AlphaSights. But they often don’t find quality inputs, despite their searches. Today, these sites ask experts to fill in a form based on their job title, which is then used to match them with companies in need of their help. London-basedEthosthinks that AI can improve both sides of this experience. For experts, it offers voice-powered onboarding to ask a broader set of questions and get more data about their knowledge in various domains that their job titles don’t cover. For companies, Ethos can better match natural language queries posed by these organizations for their project, thanks to the wider range of data it has collected. Ethos said that its voice-based onboarding and data allows it to answer complex client questions like, “Find me people who worked at a funded startup by A-grade investors solving for finance automation.” Another example the startup gave was how a pharma company using its platform could search for doctors who specialize in a certain area, but who have also written papers on the subject or have an understanding of drug development. Today, Ethos announced a $22.75 million Series A round led by a16z with participation from General Catalyst, XTX Markets, Evantic Capital, and Common Magic. a16z’s Anish Acharya thinks that legacy platforms like LinkedIn and GLG only show shallow signals with job titles. He believes that Ethos captures different sub-specializations through its voice interview process with curated questions. “I think voice is the original form of human communication. Most people, you know, most people don’t know how to write their story down in a very succinct, compelling, and accurate way. Voice is a big unlock for Ethos,” Acharya told TechCrunch over a call. Ethos was founded by James Lo and Daniel Mankowitz in 2024. Lo previously worked at McKinsey and later at SoftBank, where he worked on the transformation of companies like WeWork and Arm. Mankowitz worked as an AI researcher at DeepMind, where he worked on YouTube’s video compression algorithm, Gemini, and the AlphaDev sorting algorithm. Both founders arrived at tackling the problems of building an expert network from different angles. Lo always wanted to work on providing the right economic and employment opportunities to people. Mankowitz thought that the economy is a knowledge graph of people, companies, and products, and using the right algorithms, you can match these entities with each other. “Traditional expert platforms almost purely focus on a mixture of job titles and job descriptions. What we observe is that most clients and most employers are not looking for a job title company. They’re looking for a specific skill and a specific capability. We also observed that, over time, looking for a skill and capability is going to gradually merge between the human economy and the agent economy,” Lo said. Beyond the data provided by experts, Ethos also looks at other public sources like blogs and academic papers, along with social links to match companies with the right people. The company also conducts interviews through its own platform using voice agents and extracts insights. Startups likeListen LabsandOutsetalready provide a way for companies to use conversational AI for interviews, offering some competition on this front. But Ethos thinks that its network of experts is better suited for certain clients than its competitors. Ethos doesn’t name its client base, but said that top hedge funds, private equity firms, leading foundational AI labs, and enterprise consulting were already using its product. It’s taking 30% or more as a per-project fee from businesses, depending on the nature of the project. The company noted that it’s on track for “an eight-figure annualized revenue” but didn’t provide specific numbers. It also didn’t say how many experts are on the platform, but said that roughly 35,000 people are joining each week. (Ethos sends invites to people whom they think can benefit from it.) One challenge for the startup is growing an expert user base that’s relevant to its clients. The company said that AI labs spending money to map human talent has been helping its cause. “Our perspective here is the AI labs have — are pointing a giant capital gun at every economically valuable occupation in the world. They’re trying to map out every profession. And so that’s an amazing tailwind for us,” Lo said. He noted that these labs are building professional services in areas of law, health, finance, and management, so they would want all kinds of experts in these networks to build out their models and get feedback about their products and strategy. The company has eight people on its team now, and its goal is to keep the team compact while scaling up.
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Apple to pay $250M to settle lawsuit over Siri’s delayed AI features
Apple has agreed to pay $250 million to settle aclass action lawsuitover how it marketed its AI features ahead of the launch of the iPhone 16. TheFinancial Timeswas the first to report the news. The lawsuit alleged that Apple exaggerated the breadth of features Apple Intelligence would bring, which included a significantly upgraded version of its assistant, Siri. The complaint alleges that the company created the impression that advanced AI capabilities would be available to users sooner than they actually were. In particular, the plaintiffs allege that Apple overstated both the readiness and functionality of these features, particularly the promised improvements to Siri, which have yet to fully materialize. As a result, the complaint claims, people who bought the iPhone 15 or iPhone 16 believed they were paying for cutting-edge AI tools that were not actually available at the time of purchase. The lawsuit framed this as false advertising, and says Apple’s marketing influenced buying decisions based on features that were incomplete or delayed. Apple did not admit to wrongdoing in court, but has chosen to settle the case rather than continue with litigation. Under the proposed agreement, eligible U.S. customers who purchased the iPhone 15 or iPhone 16 between June 10, 2024 and March 29, 2025 could receive up to $95 per device. Apple has been touting a more advanced version of Siri ever since it unveiledApple Intelligencein 2024 during WWDC. The anticipated updates areexpectedto help Siri function more like modern AI chatbots such as ChatGPT or Claude. The upgraded experience is rumored to be powered byGoogle Gemini, though newer reports state the company’s next iPhone operating system may letusers choose from a number of third-party large language models. The settlement arrives ahead of Apple’s annual developer conference onJune 8, when the company is expected to preview a version of its AI-enhanced Siri.
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Tinder owner Match Group is slowing hiring to pay for its increased use of AI tools
You might think the big story out of Match Group’s first-quarter earnings is Tinder’s turnaround. The dating app’s revenueis slightly up againafter quarter-after-quarter of declines. But we’d like to point to a comment the chief financial officer made about how the company is slowing its hiring right now because it needs more money to pay for AI tools for its employees. Ah, yes, the good ol’ “let’s blame AI” strategy! While speaking to analysts on the first-quarter earnings call, Match Group CFO Steven Bailey talked about how the dating app giant was investing in AI technology for internal use at the company — as well as how Match was paying for it. “We’re making a big push around AI enablement. We’re giving every employee in the company access to all the cutting-edge tools. We’re giving them the training they need to succeed. We’re setting expectations. We really want to become an AI-native company,” Bailey said. “We think it’s a huge opportunity. But these tools cost a lot of money, as I’m sure you know, and so the way we’re helping to pay for that is by slowing our hiring plans for the rest of the year,” he added. The company assured investors that the impact would be cost-neutral, as the slowed hiring and lower headcount would make up for the increased software expenses. Plus, Match Group is betting that the increased productivity from employees’ use of AI will ultimately increase revenue growth, the number-cruncher explained. While on the surface, this looks like another example of AI taking people’s jobs — in this case, forcing a company to lower its number of open positions — there’s likely more nuance to this story. Let’s keep in mind that Match Group’s flagship app, Tinder, has been struggling in recent years. This quarter may be the start of a turnaround, as monthly active usersdeclined by 7% in Marchcompared with the far-steeper 10% drop a year ago. Tinder registrations also grew for the first time since 2024, but by a mere 1%, asBloombergpointed out. This is perhaps a positive sign for Tinder. Or it might be a brief blip driven by users’ curiosity around various productimprovementsand new features,like IRL events. Time will tell. Match Group remains a company that has to work to squeeze more money out of an oft-dwindling, less active user base — which, to the company’s credit, it did exactly that. Match’srevenue was $864 millionin the first quarter, up 4% year-over-year. However, its next-quarterestimatesare coming in lower — around $850-$860 million, down 2% to flat year-over-year. All these struggles come after many months of what appears to be a growing disinterest in the use of dating apps by younger people. This generational shift sees peopleoptingtomeet up in real-life, perhaps by pursuing an interest, likerunning,book clubs, or ahobby that connects themwith other people, which then, in turn, expands their network, increasing their chance of meeting someone new. The trend coincides with aresurgence of nostalgic tech, like digital cameras, flip phones, boomboxes, and even landlines, signaling a generation that’s feeling burned out by always-on connectivity and looking for analog pleasures. Match Group is aware of this significant shift and says it’s pivoting to address the challenge by increasing the number of its own IRL events. “Gen Z desperately wants to connect. They know they want to meet new people. They just want to do it in a low-pressure, low-stakes way that doesn’t feel like a job interview,” Match’s CFO Rascoff told investors on the call. “Traditional dating apps are very highly structured and can be intimidating to a user under 30. So, I think the growth of these alternative ways to meet new people speaks to how Gen Z is trying to find lower-pressure ways to connect.” “We’ve obviously adapted our roadmap to this reality,” he said.
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Khosla-backed robotics startup Genesis AI has gone full-stack, demo shows
Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, and it comes with surprise hands. In a demo video, the company showcased various advanced tasks performed by a set of robotic hands it has designed in-house. “The model has always been the goal, because a better model means better intelligence,” Genesis cofounder and CEO Zhou Xian told TechCrunch. But the company soon realized that it needed control over the hardware. “So we decided to go full stack,” he said. Other well-funded companies operate at the intersection of AI and robotics — such asPhysical IntelligenceandSkild AI. Zhian also acknowledged that “there’s probably 50 or 100 robotic hand companies out there.” But he and his cofounder Théophile Gervet hope that building their own will give them the upper hand. The key difference is that Genesis’ hand has the same size and shape as a human hand — rather than the two-finger grippers many robotics companies have been using — reducing the gap with real-world conditions. “That lets us collect a lot more data than was previously possible, to train a model that can do many more tasks,” said Gervet, a former research scientist at Mistral AI who is now Genesis’ president. Of all the physical manipulation tasks showcased in the video below, Gervet’s personal favorite is cooking, because it proves that the robot has been able to complete a long series of difficult tasks, such as cracking an egg and slicing a tomato. But Genesis has also tasked its robots with preparing smoothies, playing the piano, and solving Rubik’s cube — a roboticsgimmick. Other tasks, such as lab work, are closer to what could be the commercial applications of Genesis’ technology. But what happens behind the scenes is just as important: the startup has also developed a sensor-loaded glove that works as a real-life double of its robotic hand, collecting data that can more readily be used. “Our idea was that if we could design a robotic hand that tries to mimic a human hand as much as possible, we can instantly unlock huge amounts of human data without having to worry about what people call the ‘embodiment gap’ in robotics research,” Xian said. Others havetried their handat that problem; the main novelty is how Genesis combines this with its model. The current version is named GENE-26.5 for May 2026, but Xian expects there will be many iterations, thanks to the simulation it has developed. “The real bottleneck for the iteration speed of the model is evaluation. So this helps us speed up model training a lot,” he said. Beyond simulation, though, data will be key to training models that can help robots perform more tasks. That’s also where Genesis’ glove could come in handy. Gervet said that, unlike clunky data collection devices that get in the way, it is just as light and easy to wear as the security gloves already used in many industries, while relatively cheap to make. “We’re in talks with a lot of customers right now, and a lot of the value of a glove would be that, for the first time, you can wear the data collection device when you’re doing your daily job, whether it’s a lab technician for pharma or for manufacturing,” Gervet said. This would also be complemented by ‘egocentric video data’ — people filming themselves doing the task. Still, it remains to be seen whether workers would be happy to wear the very gloves and cameras that could train robots to replace them, and whether they will get extra pay for that training. That will be between Genesis’ customers and their employees, Gervet suggested. “We haven’t nailed the details yet,” he said. Either way, they may decide not to share that data with the startup, the founders acknowledged. But the startup also has avenues of its own to build its ‘human skill library’ — it could also pay third-party partners to collect data. Its model is already trained on “massive amounts of human-based internet videos,” according to a press release that didn’t mention compensation. Combined with its simulation system, this could help Genesis lower the costs of its technology for real-world applications like the one it has demonstrated. “This marks an important milestone for their team and the robotics industry more broadly,” said Google’s former CEO, Eric Schmidt, who invested in the startup. In July 2025, just a few months after its creation, the startup had emerged from stealth with a$105 million seed roundco-led by Eclipse and Khosla Ventures, with additional backers including Bpifrance, HSG, and individuals like Schmidt, but also Xavier Niel, Daniela Rus, and Vladlen Koltun. This funding helped Genesis increase its headcount. With offices in Paris and California, it has also expanded to London. “One big reason we decided to be in Europe is there is a huge talent density across the whole continent,” Gervet said. Its team of 60 people is split around “40-45% in Europe and 50-55% in the U.S,” and the startup is currently hiring in all three locations. Aside from hiring, the company also plans to reveal its first general-purpose robot shortly, which Xian told TechCrunch will be a full-body robot, not just hands. But he insisted that the roadmap is still the same. “Our goal is to build the most capable robotic system,” he said.
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Google updates AI search to include ‘expert advice’ from Reddit and other web forums
Google isupdating searchto refine its AI experience by adding additional context to links, like conversations from web forums, as well as a feature that highlights links from a user’s news subscriptions. While citing web forums and discussion boards can help users find answers to more niche queries, this design choice could also prove chaotic. Two years ago, Google overhauled its search experience to put AI front and center — when you search for something, Google will often summon an “AI Overview,” which has spurred mixed reception from users. People quickly pointed out how the feature could be exploited, since it failed to recognize sarcasm or information that comes from dubious sources. (It citedThe Onionwhen telling someone to eat “one small rock per day,” and used Reddit to advise someone to putglue on their pizzato make the cheese stick better.) Though Google’s AI Overviews have improved significantly, they still — like anything powered by an LLM — are prone to hallucination. A recentNew York Times analysisfound that the AI Overviews were correct about nine times out of 10. But for a company that processes trillions of queries a year, that success rate would mean that hundreds of thousands of searches turn up inaccurate results every minute. Of course, not every search has an objective yes-or-no answer, which is why Google might want to pull in voices from web forums where people discuss such questions — there’s a reason why people often add “Reddit” to the end of their Google searches. “For many searches, people are increasingly seeking out advice from others,” Googleexplains. “To help you find the most helpful insights to explore further, AI responses will now include a preview of perspectives from public online discussions, social media, and other firsthand sources. We’re also adding more context to these links, like a creator’s name, handle, or community name, to help you decide which discussions you might want to read or participate in.” But now Google is complicating the role of its AI Overviews. Is the AI Overview supposed to answer a question, or is it supposed to serve you a variety of sources that might have the information you’re looking for? Isn’t that basically just a normal Google search? Google will, at least, add more context to where its AI Overview commentary comes from, which might help users decipher if they’re getting information from a trustworthy source. It’s similar to how ChatGPT or Claude will sometimes provide links that are supposed to back up its claims. Still, we’d recommend double-checking that the AI is not hallucinating the validity of these citations.
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Apple Agrees to Pay $250 Million Settlement to iPhone 16, iPhone 15 Pro Owners Over AI Claims
Apple launched the iPhone 16 series in September 2024 with the Cupertino-based tech giant's first smartphones to ship with its “Apple Intelligence” suite of tools, a term used by the company instead of artificial intelligence (AI). The tech giant also announced that the 2023-launched iPhone 15 Pro series will also get support for its new AI-powered functionalities. However, last year, a number of class action lawsuits by iPhone owners were reportedly filed against Apple for over-committing and under-delivering on its AI promise. Now, the company has reportedly reached an agreement to pay compensation to millions of affected consumers.
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OpenAI Upgrades ChatGPT’s Default AI Model to GPT-5.5 Instant, Adds New Capabilities
OpenAI, on Tuesday, announced that it is updating the default artificial intelligence (AI) model in ChatGPT. The default model is available to everyone when they first open the website or the app, including those on the free tier. So far, this experience has been powered by the GPT-5.3 Instant, but now, the San Francisco-based AI giant is replacing it with the GPT-5.5 Instant. Some of the key improvements include more personalised responses, higher intelligence in image analysis and answering science and math questions, and a natural conversational tone.
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