RLVR, Ghosts, and Vibe Coding: Karpathy’s 2025 LLM Year in Review episode artwork

EPISODE · Dec 20, 2025 · 5 MIN

RLVR, Ghosts, and Vibe Coding: Karpathy’s 2025 LLM Year in Review

from Intellectually Curious · host Mike Breault

A deep dive into the foundational shifts Karpathy highlights for 2025: reinforcement learning from verifiable rewards (RLVR) driving massive cheap optimization, the rise of ‘thinking time’ traces and jagged, task-optimized intelligence, and the birth of vibe coding—guiding powerful AI with plain language. We explore the new LLM app layer that turns lab models into deployed professionals, on-device agents like Claude Code, and the multimodal LLM GUI that blends text, visuals, and code. Finally, we discuss the economic dynamics, evolving benchmarks, and the future jobs vibe coding may unlock in the year ahead.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC

Episode metadata supplied by the publisher feed · Published Dec 20, 2025

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A deep dive into the foundational shifts Karpathy highlights for 2025: reinforcement learning from verifiable rewards (RLVR) driving massive cheap optimization, the rise of ‘thinking time’ traces and jagged, task-optimized intelligence, and the birth of vibe coding—guiding powerful AI with plain language. We explore the new LLM app layer that turns lab models into deployed professionals, on-device agents like Claude Code, and the multimodal LLM GUI that blends text, visuals, and code. Finally...

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RLVR, Ghosts, and Vibe Coding: Karpathy’s 2025 LLM Year in Review

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