The big finding: Claude Code builds, not buys. Custom/DIY is the most common single label extracted, appearing in 12 of 20 categories (though it spans categories while individual tools are category-specific). When asked “add feature flags,” it builds a config system with env vars and percentage-based rollout instead of recommending LaunchDarkly. When asked “add auth” in Python, it writes JWT + bcrypt from scratch. When it does pick a tool, it picks decisively: GitHub Actions 94%, Stripe 91%, shadcn/ui 90%.
However, he has been impressed with the progress made by Chinese firms who, instead of tendons, are using motors in the fingers and hands to drive movement.
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Built on a cache-aware streaming FastConformer encoder with causal convolutions and bounded-context attention:
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Why? Could we trace embodied behaviors through history just as anthropologists can trace, say, legends or etymologies relating to magical blacksmiths or slaying serpents?
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