How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco
What happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco.
What happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco.
Original analysis, the Latent Space podcast and the daily AI News briefing, for engineers building with AI.
Jamin Ball, Altimeter



705 profiles and 281 grounded writeups on the people and organisations behind the conversations.
Identified by Hg as Cognition’s founding president, Kaplan’s work spans autonomous coding agents, machine-learning data infrastructure and Tesla Autopilot.
Machine learning and systems researcher working on hardware-aware GPU kernels and efficient model architectures.
Engineer on Anthropic’s Claude Code team whose public work explains how to adapt agent context, verify generated software, and keep human judgment involved.
SemiAnalysis founder Dylan Patel connects chips, software and supply chains to the practical economics of building and serving AI.
An AI interpretability research lab developing tools to inspect model internals, monitor behavior, and guide training.
The organization behind Python’s Pydantic validation library expanded into AI agents, observability, evaluation and controlled execution of agent-written code.
The canonical essay that started it all — and named the discipline.
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