Max and AI expert Arun Velasco discuss Peter Thiel’s warnings about centralized AI power, a new framework (SwiReasoning) that switches models between explicit and latent reasoning to improve accuracy and token efficiency, Wikipedia’s traffic drop amid AI summaries, and Python 3.14’s optional GIL-free build enabling true multithreaded speedups. They cover L&T Technology Services’ AI-first strategy, student-focused AI tools like NotebookLM and Kimi PPT.AI, and how to move “beyond vibes” with 360-Eval for rigorous LLM selection. The episode also explores Apple AI talent moving to Meta, Q3 cybersecurity funding trends, Boris Johnson’s ChatGPT infatuation, Nanovate’s Arabic-first AI raise, and a Stoic perspective on keeping critical thinking in human hands. Three takeaways: smarter decoding and evaluation beat sheer model size, infrastructure changes like GIL-free Python shift what’s practical to build, and provenance and personal agency are essential when using AI.
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