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OpenAI, on Thursday, introduced a new major update to its GPT-5 series artificial intelligence (AI) models. Bringing it to GPT-5.5, the new models are said to offer improved intent understanding, agentic coding, and reasoning capabilities. The San Francisco-based AI giant claims that the models outperform Anthropic's latest Claude Opus 4.7 and Google's Gemini 3.1 Pro models across a wide range of tasks. These large language models (LLMs) are first rolling out to the company's paid subscribers, and via the application programming interface (API).
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A new open-access testbed aims to help India design, test, and scale quantum hardware within the country.
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AI demand is rising fast, but engineers feel trapped between shifting expectations and constant relearning.
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DeepSeek’s new models bring a 1 million-token context window, dual reasoning modes, and API compatibility.
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OpenAI said GPT-5.5 is its “smartest and most intuitive” system yet, capable of understanding intent faster and completing tasks in one go.
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Sierra, the customer service agent startup founded byBret Taylor, announced on Thursday that it has acquired theYC-backed French startup Fragment, which helps businesses integrate AI into workflows. This is Sierra’s third public acquisition. It previously bought Japan-based enterprise AI solutions company Opera Tech (which it acquired in late March) and voice agent company Receptive AI (which it also announced it acquired in late March). Fragment co-founders Olivier Moindrot and Guillaume Genthial will be joining the Sierra team. In a blog post, Taylor and his co-founder, Clay Bavor, wrote that Moindrot and Genthial will bring “valuable strength” to Sierra’s “agent development efforts in France.” Terms of the deal were not announced. PitchBook estimates that Fragment raised around $2 million through its seed round. Taylor, who also serves as OpenAI’s chairman of the board, co-founded Sierra alongside Google alum Bavor after stepping down as co-CEO of Salesforce in early 2023. The startup claims Casper, Clear, and Brex as customers and has raised more than$630 million in funding to date, from investors including Sequoia and Benchmark, giving it a $10 billion valuation.
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Surviving the early days as an AI startup isn’t just about making the technology work — it’s about hiring the right people, avoiding costly mistakes, and standing out in a crowded market. This week on Build Mode, Isabelle Johannessen sits down with Jaspar Carmichael-Jack, founder and CEO of Artisan, a fast-growing AI startup building AI employees for sales. Best known for its viral “Stop Hiring Humans” campaign, Artisan is rethinking outbound sales with AI, while still betting on hiring exceptional human talent. In this episode, they break down what it really takes to build and scale a venture-backed AI company, from Y Combinator to rapid growth. This conversation covers: Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. And watch the full videos onYouTube. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type. New episodes ofBuild Modedrop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams.
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Loading the player… Surviving the early days as an AI startup isn’t just about making the technology work — it’s about hiring the right people, avoiding costly mistakes, and standing out in a crowded market. This week on Build Mode, Isabelle Johannessen sits down with Jaspar Carmichael-Jack, founder and CEO of Artisan, a fast-growing AI startup building AI employees for sales. Best known for its viral “Stop Hiring Humans” campaign, Artisan is rethinking outbound sales with AI, while still betting on hiring exceptional human talent. In this episode, they break down what it really takes to build and scale a venture-backed AI company, from Y Combinator to rapid growth. This conversation covers: This conversation gets to the heart of building a startup: making the right hires early or paying for it later. Subscribe to Build Mode onApple Podcasts,Spotify, orwherever you like to listen. And watch the full videos onYouTube. Apply to Startup Battlefield:We are looking for early-stage companies that have an MVP. So nominate a founder (or yourself). Be sure to say you heard about Startup Battlefield from the Build Mode podcast.Apply here. TechCrunch Disrupt 2026:We’re back for TechCrunch Disrupt on October 13 to 15 in San Francisco, where the Startup Battlefield 200 takes the stage. So if you want to cheer them on, or just network with thousands of founders, VCs, and tech enthusiasts, thengrab your tickets. Use codebuildmode15 for 15% off any ticket type.
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OpenAI on Thursdayreleased GPT-5.5, its newest AI model, which the company calls its “smartest and most intuitive to use model” yet. The algorithm comes with increased capabilities in a multitude of areas, with OpenAI co-founder and president Greg Brockman claiming that it also brings the company one step closer to the creation of OpenAI’s “super app.” On a call with journalists, Brockman said that the new model was a big advancement “towards more agentic and intuitive computing.” “This model is a real step forward towards the kind of computing that we expect in the future — but it is one step, and we expect to see many in the future,” Brockman said. “It’s a faster, sharper thinker for fewer tokens compared to something like 5.4. So this means that there’s just more frontier AI available for businesses and for consumers, which is part of our goal.” Brockman also said that the model was an additional step towardcreating a “super app”— a multi-purpose, Swiss Army knife of a program — which Brockman and co-founder Sam Altman have previously discussed launching. The co-foundersenvisioncombining ChatGPT, Codex, and AI browser into one unified service that can aid enterprise customers. Notably, the “super app” concept isalso a hot topicwith Altman rival (and former OpenAI colleague) Elon Musk, who has said he wants to turn X into its own so-called super app. OpenAI releasedits last modelonly last month, with a previous release in December and, before that, November. The company has continued to churn out new models at a crisp pace, a trend that company staff said should be expected to continue for the foreseeable future. “We see pretty significant improvements in the short term, extremely significant improvements in the medium term,” said Jakub Pachocki, OpenAI’s chief scientist. “In fact, I would say, like, I think the last two years have been surprisingly slow.” According to OpenAI, GPT-5.5 is designed to be useful across a broad array of categories, including foundational enterprise areas like agentic coding and knowledge work, but also in more experimental AI applications like mathematics and scientific research. The company also released data Thursday showing the model’s superior performance across a range of benchmarks. Compared to its previous models, and to models from competitors Google and Anthropic (like Gemini 3.1 Pro and Claude Opus 4.5), 5.5 consistently scores higher, according to OpenAI. OpenAI’s rivalry with Anthropic is never far from discussion, and GPT-5.5 offered another opportunity for the two companies to compare themselves to one another. One reporter during the press briefing asked if GPT 5.5. would have capabilities similar toMythos, the cybersecurity tool recently announced by Anthropic. (Mythos has experienced controversy in recent days due to a report ofunauthorized access to the program.) Mia Glaese, a member of OpenAI’s technical staff, said that GPT-5.5 would have a significant impact on the company’s approach to deploying its models toward digital defense. “We have a strong and longstanding strategy for our approach to cyber, and we’ve refined a durable approach to rolling out models safely,” Glaese said. Mark Chen, chief research officer at OpenAI, said that GPT-5.5 was better at navigating computer work than its predecessors, and also said that the model “shows meaningful gains on scientific and technical research workflows,” noting that the company feels it could really “help expert scientists make progress.” Chen also said it could assist with drug discovery, an area that has shownincreased industry interestover the last few years. GPT 5.5 is widely available starting Thursday, according to OpenAI. The company says that the model is deploying to Plus, Pro, Business, and Enterprise users in ChatGPT, while 5.5 Pro is headed to Pro, Business, and Enterprise users.
What if you could outsource your doomscrolling? That’s the premise behind the new startupNoscroll, which is offering an AI-powered bot that can browse your social feeds, news sites, and other online chatter, then text you when something important happens. “no feed. no brainrot. no ragebit,”readsNoscroll’s pitch to users. just signal.” X has the best information on the internet and the worst incentives & culture.meet noscroll — the AI that doomscrolls it for you and texts you just the things that matter.no feed. no brainrot. no ragebait. just signal.try it for free →https://t.co/XqdExWR13j🙅🏼♂️pic.twitter.com/EaHt2zfb7k The idea itself is fairly simple — it’s a bot that reads the web for you. But to work, there’s a lot that needs to go on under the hood. Nadav Hollander— previously the CTO at the NFT marketplace OpenSea afterselling his decentralized finance startupto the company in 2022 — said he built Noscroll because he found himself in a love/hate relationship with X. He was taking time off after leaving his job at OpenSea, and spent a lot of time on the social platform. “It’s phenomenally entertaining and really informative in ways you just don’t get from normal media,” Hollander told TechCrunch. “But it’s so toxic culturally, and it’s just very upsetting to read,” he said, comparing it to the nutritional equivalent of fast food. “You just feel terrible after it.” Hollander said he wanted to get off the app without missing out on the news and content. That inspired him to build Noscroll, which launched just a couple of days ago to the public. To get started with the service, you just text theNoscrollAI agent directly at (415) 583-7721, and it sends you a link to connect your X account to the service. This authentication provides Noscroll with information about your likes, bookmarks, and the accounts and posts you follow. The bot uses a variety of off-the-shelf AI models running on the company’s own proprietary infrastructure. The models have been customized with a lot of prompting, so the bot has its own unique voice and communication style. You can chat with the AI agent in natural language, telling it what sort of news or topics you want to keep up with, as well as what you don’t care about. It will then prepare a sample digest. To work, the AI pulls in information from beyond X, including news sites, blogs, Reddit, Hacker News, Substack, and more. It can even tap into things like research papers, local politics, or any other sources you may need. (You can recommend specific sources, too, if there’s something you want to make sure it checks.) Then, instead of spending your time scrolling through endless social media feeds to stay current on the news you care about, Noscroll will send you news digests via text at whatever cadence works best. For instance, a casual user might want to receive a weekly update on a topic, while a news junkie might want texts multiple times per day. These digests are essentially a collection of news links along with a brief AI summary of the article. If you want to know more, you can tap the links to open them up in your preferred web browser and read the article in full. You can also reply to the AI bot to ask questions and have conversations about the news you’re reading, too, as you could with other AI chatbots. Or you can add it to a group chat or Telegram group to have others engage with the service. (Other chat apps will be supported later on, we’re told.) The bot also knows when there’s breaking news worth seeing immediately and will text you as it’s happening. the sample batch sold it for me. subscribedhttps://t.co/W5ciDnQKRWpic.twitter.com/knq4qYmtBN — Alex Kwon (@startupoppa)April 22, 2026 Over time, the AI learns what you care about and uses that to better curate the types of information it sends you, the company claims. While the bot currently costs $9.99 per month to use, it will send you a sample news digest for free so you can customize it to your interests and try it out for 7 days. You can cancel the subscription at any time. Hollander notes Noscroll may experiment with variable pricing in the future. While there’s an obvious use case for those in the tech industry struggling to keep up with the constant stream of daily AI news and updates, Noscroll is not limited to tech topics. You can keep up with just about anything: reality TV, your favorite band, local news, your friends’ posts, your unread newsletters, or anything else that you find interesting. Hollander has been surprised to see how people are using it outside of tech. “People [are] following really niche anime industry news and local restaurant openings in Kyoto,” he says. Users are trying to stay on top of job listings, layoff tracking, and more. Journalists have also taken advantage of the tool to follow things like local politics and events. “I think the archetype that’s been interesting is anybody who has a professional need to be very online and follow things very closely. It’s quite useful to have a deputy who’s kind of doing that for you on whatever your beat is,” he adds. The AI bot has seen fast adoption, he says, and has already attracted investor interest. Hollander, who built the bot alongside his friend, an open source developer from the crypto world who only goes by the user name@z0ageon X, says the two have not yet made a decision on what to do with the inbound attention yet. Noscroll is available to try fromNoscroll.comby clicking the “text your agent” button.
The Gemini Enterprise portfolio integrates tools that enable employees to manage AI agents rather than perform repetitive tasks.
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NASA announced that it will launch the Nancy Grace Roman space telescope into orbit in September 2026, eight months ahead of schedule. The new space telescope is expected to deliver 20,000 terabytes of data to astronomers over the course of its life. That will add to 57 gigabytes of breath-taking imagery downlinked daily from the James Webb Space Telescope, which began its work in 2021, and the start of a survey later this year by the Vera C. Rubin Observatory in the mountains of Chile, which is expected to gather 20 terabytes of data each night. For comparison, the Hubble Space telescope, once the gold standard, delivers just 1 to 2 gigabytes of sensor readings each day. It’s been a while since all those readings were pored over by hand, but like everyone else with a pile of data, astronomers are now turning to GPUs to solve their problems. Brant Robertson, a UC Santa Cruz astrophysicist, has had a front-row seat to this step change in science while supporting or using data from these missions. Robertson has spent the past 15 years working with Nvidia to apply GPUs to the problems of understanding space, first through advanced simulations testing theories about supernnova explosions, and now developing the tools to analyze a torrent of data from the newest observatories. “There’s been this evolution [from] looking at a few objects, to doing CPU-based analyses on large scales of the data set, to then doing GPU-accelerated versions of those same analyses,” he told TechCrunch. Robertson and then-graduate student Ryan Hausen developed a deep learning model called Morpheus that can pore over large data sets and identify galaxies. Their early AI analysis of Webb data identified a surprising number of a specific type of disc galaxies and added a new wrinkle to theories about the development of our universe. Now Morpheus is changing with the times: Robertson is switching its architecture from convolutional neural networks to the transformers behind the rise of large language models. That will result in the model being able to analyze several times the area than it can currently, speeding up its work. Robertson is also working on generative AI models trained on space telescope data to improve the quality of observations collected by ground telescopes, which are distorted by Earth’s atmosphere. Despite advances in rocketry, it’s still hard to get an 8 meter mirror into orbit, so using software to improve Rubin’s observations is the next best thing. But he’s still feeling the pressure of global demand for GPU access. Robertson has used the National Science Foundation to build a GPU cluster at UC Santa Cruz, but it is becoming outdated even as more researchers want to apply compute-intensive techniques to their work. The Trump administration proposed cutting the NSF’s budget by 50% in its current budget request. “People want to do these AI, ML analyses, and GPUs are really the way to do that,” Robertson said. “You have to be entrepreneurial…especially when you’re working kind of at the edge of where the technology is. Universities are very risk averse because they just have constrained resources, so you have to go out and show them that, ‘look, this is where we’re going as a field.’”
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