Recursive AI: Better Than Intelligence?

Traditional RAG and append-only context management eventually break down under noise and state degradation. The "Better Intelligence" principle takes a different approach: using Recursive Language Models (RLMs) to let the agent decide what information stays in its own context. That recursion is what allows models to sustain performance over long-duration tasks without constant human recalibration. In this clip, Mitch from Basis explains why a model's ability to regulate its own state is the real unlock for continual learning in production.

Catch the full conversation on Season 3, Episode 4 of The Hedgineer Podcast with co-hosts Michael Watson and Jhanvi Virani and special guest Mitchell Troyanovsky.

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https://open.spotify.com/episode/1MPDvZG95E59E86vcDngUZ?si=ujgbNYnbR42CvYTId4xoog

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Видео Recursive AI: Better Than Intelligence? канала The Hedgineer Podcast