Part III: Escaping from Reasoning Model Purgatory
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The most interesting part about Chain of Thought (CoT) reasoning is that unlike a vanilla hallucinating LLM, CoT models convincingly assert falsehoods; the same mechanism that makes them avoid hallucinating also makes them dig in their heels (like a stubborn human)

Part IV: Reasoning without Regret
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Q: Can we quantify when we can make these models better: higher accuracy + lower compute cost?
A: EIP-1559 is everywhere 😈 

DeepSeek is a phase transition: Lowered compute by 10x+ with ~same accuracy as o1 — why? Must be real math & algorithmic improvement

🤓 🔫'd me

ヽ(⌐■_■)ノ♪♬ @ @gauntlet/🤖Ventures/tldr/Aera \\ ¯\_(ツ)_/¯ Struggling with the nature of randomness \\ main: @gaa \\ /red-bull /defi-research maxi