AI 스타트업 리커시브, AWS와 4억 달러 컴퓨팅 계약 체결

On Tuesday, the AI company Recursive Superintelligence announced a $400 million compute deal with Amazon Web Services. The company, which emerged from stealth in May with $650 million in funding, is focused on building open-ended self-improving systems, a potentially compute-intensive approach to AI research. This multi-year deal is meant to provide flexibility as the company looks to scale up those systems. Recursive’s $410 million outlay represents the bulk of the company’s fundraising to date— but on a call with TechCrunch, Socher emphasized that he expected it to be the first of many such deals. Today’s announcement is "likely going to be one of the smallest compute deals we're going to sign in the next few years," Socher said. Recursive’s emphasis on self-improving AI systems means much of the budget that would traditionally go towards headcount and operations is put straight into compute, as the company seeks to automate its own product development process. “For us, it's less about headcount and more about agent count,” Socher said. There’s no investment component to Amazon’s involvement, in contrast to major labs’ habit of hybrid investment arrangements. But the sheer scale of the commitment allows AWS to commit significant resources to supporting Recursive’s unique needs, which may help to draw in other foundation-level AI companies going forward. “Part of the agreement is that we're going to co-develop infrastructure purpose-built for these types of company,” said Jason Bennet, VP for startups and venture capital at AWS. Recursive self-improvement (RSI) has long been seen as an inflection point for AI, with some expecting an explosion of progress once AI can be improved without human involvement. But as more labs and companies pursue the idea, the specific requirements have become ambiguous , with some predicting an imminent breakthrough while others characterize self-improvement as more of a continuum. But in Recursive’s case, the goal is to use the powers of RSI to develop actual products — and Socher expects to be releasing the earliest examples before the end of the year. “We are excited to build like really amazing products that people can use, and you will see those within a few months, not within a few quarters or years,” Socher says. “In October or so, you'll see some actually tangible, useful things that you'll be able to play around with.” Topics AI , AWS , RSI When you purchase through links in our articles, we may earn a small commission . This doesn’t affect our editorial independence. Russell Brandom AI Editor Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT's Technology Review. He can be reached at russell.brandom@techcrunch.com or on Signal at 412-401-5489. View Bio October 13 - 15 San Francisco Scale faster. Grow your portfolio. Gain practical expertise. No matter your goal, Disrupt can empower you. Save up to $330 toda y! REGISTER NOW Most Popular Librarians are hosting viral ‘Avoiding AI' workshops for people who are fed up with Big Tech Amanda Silberling SpaceX launches new V3 Starlink satellites but suffers another booster failure Sean O'Kane Prentis, new AI lab co-founded by Reid Hoffman, Mark Pincus in talks to raise $100M Marina Temkin US accuses American of allegedly wiping his phone using a ‘duress' password during border search Zack Whittaker Anduril reportedly in talks to raise funding at $100B valuation, more than 3x last year's mark Ram Iyer Tesla's robotaxis are moving in reverse Sean O'Kane How OpenAI’s human mistake led to the AI-powered hack on Hugging Face Lorenzo Franceschi-Bicchierai