I wouldn't say most of the magic is there, but I do think a lot of the progress we've seen in the last few years has been external to the models, and people sometimes miss that. For example, Claude Code has improved by leaps and bounds because the tooling has improved so much, from what I can see. But the underlying model is still what makes this relatively simple tooling so useful.
replyAgreed. That's the core hypothesis behind this learning project — model is the magic, and the agent loop is just a thin, transparent wrapper around it. The goal of building it stage-by-stage was to prove you don't need a massive, complex framework to get good agentic behavior.
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