The Reasoning Machine: Is AI Learning to Think?
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The Reasoning Machine: Is AI Learning to Think?
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What happens when an AI model is given more time and compute to reason before answering?
In Episode 3 of Zero to Singularity, we explore modern reasoning models, including inference time compute, chain-of-thought, reinforcement learning, self-correction, backtracking, hidden deliberation, and why more “thinking” does not always produce better answers.
We also examine the core debate: Are these systems genuinely reasoning, or are they producing increasingly sophisticated statistical simulations of reasoning?
Featuring research and examples from OpenAI, Anthropic, Google DeepMind, DeepSeek, Qwen, and the broader AI research community.
Research current through September 2026. This episode contains AI-generated audio.