Today’s episode spans classic computer vision for Sudoku extraction, AI-crypto hype and utility, Tencent’s open-source Hunyuan Image 3.0 topping LMArena’s blind-vote leaderboard, Terence Tao’s use of ChatGPT as a math assistant, Bezos’s pitch for space datacenters (and the physics pushback), the AI bubble debate, and the web’s “peak data” moment. We also cover OpenAI’s Sora app hitting No.1 on the App Store, practical tips for learning Python with LLMs, eBay’s new AI/ML center in Bengaluru, China’s underwater datacenter pilots, and MIT’s Trust Center naming Ana Bakshi as executive director. Three takeaways: start simple, prioritize data quality/governance, and match infrastructure to real constraints.
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