
Karpathy's CS231n Throwback: Why 2016 AI Principles Still Drive AI Strategy
Karpathy's 2016 CS231n lessons still shape AI strategy: representation learning, end-to-end systems, and data-centric iteration.

Trends, regulation, ecosystem shifts, and notable releases.
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Karpathy's 2016 CS231n lessons still shape AI strategy: representation learning, end-to-end systems, and data-centric iteration.

Simon Willison's datasette-llm releases introduce purpose-driven model selection β a design pattern that gives enterprises better cost control, governance, and vendor flexibility.

Sam Altman's AI-as-utility pitch could reshape enterprise AI buying, vendor lock-in, and infrastructure planning. Here's what executives should do now.

Sam Altman is pushing enterprise AI adoption and a compressed superintelligence timeline. Here's what executives should actually do about it in 2026.

Sam Altman's BlackRock warning signals a new AI risk for executives: political backlash over energy, jobs, and public trust.
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