Beyond Bigger Models: Recursion As The Next Scaling Law In AI

Beyond Bigger Models: Recursion As The Next Scaling Law In AI

Author: Y Combinator May 1, 2026 Duration: 37:52

A 7-million parameter model outperforming models a thousand times its size on tasks like ARC Prize. That's what recursive reasoning unlocks.In this episode of Decoded, YC's Ankit Gupta and Francois Chaubard break down two recent papers on recursive AI models, HRMs and TRMs, that are achieving state-of-the-art results with a fraction of the parameters of today's largest models.They explain why standard LLMs hit a fundamental ceiling on certain reasoning tasks, how recursion at inference time gives small models the compute depth to break through it, and what happens when you combine these ideas with the power of large-scale foundation models.


Behind every successful startup is a story, and the Y Combinator Startup Podcast is where those stories are told in full. This isn't about polished theory; it's the raw, practical conversation happening between founders who have been in the trenches and the Y Combinator partners who advise them. You'll hear directly from people who have navigated the chaotic journey from a flicker of an idea to building a company that scales, discussing not just their victories but, more importantly, the hard lessons and tactical decisions that aren't found in any textbook. Each episode feels like a candid office-hours session, stripping away the hype to focus on the real work of making something people actually want. For anyone curious about the mechanics of building a technology company-the early uncertainties, the pivotal moments, and the relentless focus on execution-this podcast offers an unfiltered look at the craft. Tune in for genuine insights from the frontlines, where the focus remains squarely on the art and science of building things that matter.
Author: Language: en-us Episodes: 100

Y Combinator Startup Podcast
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