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Recursive Superintelligence signs $410 million AWS deal

Recursive Superintelligence signs a $400 million AWS compute deal as it targets self-improving AI systems and products by October.

Image: TechCrunch

Recursive Superintelligence has signed a multi-year compute agreement with Amazon Web Services worth $400 million, giving the AI company room to scale its research into open-ended, self-improving systems.

The company emerged from stealth in May with $650 million in funding. Its approach is expected to be compute-intensive, and much of its budget is directed toward infrastructure rather than conventional headcount. In the announcement, Recursive’s outlay was also described as $410 million, representing the bulk of its fundraising to date.

On a call with TechCrunch, Recursive CEO Richard Socher said the AWS agreement is likely to be the first of several large compute deals. He described it as “likely going to be one of the smallest compute deals we’re going to sign in the next few years.”

“For us, it’s less about headcount and more about agent count.”

Richard Socher, CEO of Recursive Superintelligence

Amazon is not making an investment as part of the arrangement. Instead, AWS plans to commit resources to Recursive’s infrastructure requirements and co-develop systems designed for companies pursuing this model.

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“Part of the agreement is that we’re going to co-develop infrastructure purpose-built for these types of company.”

Jason Bennet, VP for startups and venture capital at AWS

Recursive self-improvement, or RSI, is often viewed as a potential inflection point for AI research. Its definition remains contested, ranging from predictions of an imminent breakthrough to the view that self-improvement will develop gradually.

Recursive says it intends to apply RSI to product development rather than pursue the concept in isolation. Socher expects the first products to arrive before the end of the year, with “actually tangible, useful things” available to try around October.

Ava Chen

AI Editor

Ava covers the rapidly evolving world of artificial intelligence, from foundational models and research labs to the real-world economics of intelligence. With a background in computational linguistics, she cuts through the hype to find out what actually works. She firmly believes that benchmarks are just marketing until reproduced in the wild.

via TechCrunch

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