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Working on the Presidential AI mentions made it obvious to me how good LLM agents (particularly Claude Code) were at doing operations.
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2026 will see the industry roll out large-scale cloud agent orchestration systems at large companies.
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Building on my LLM eval framework, I added a much harder test - build a three node distributed S3 cluster.
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Recently I’ve been interested in Reinforcement Learning, particularly in evals - how do we measure language models’ effectiveness as agents?
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Vibecoding, as popularized by Andrej Karpathy, is a tricky word.
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Document Status: Back of the envelope math and my brainstorming.
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Over the past month I’ve been doing a crash course on machine learning as I come up to speed on AI progress.
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Recently I tried out the helix editor primarily because I’ve enjoyed neovim but found the lua plugin system annoying, and helix is written in Rust (my favorite language).
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With Claude Opus 4.5, coding is effectively solved.
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Try the demo here I was feeling ambitious after completing the MNIST training from scratch in Rust.