Posts
All the articles I've posted.
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Karpathy Let an AI Agent Do ML Research While He Slept — It Ran 100 Experiments by Morning
AutoResearch gives an AI agent one file, one GPU, and one metric. The agent modifies the code, trains for 5 minutes, checks if it improved, and repeats all night long. The results are surprisingly good.
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Someone Reverse-Engineered Apple's Neural Engine — Then Trained a 600M Parameter Model on It
Apple locked down the ANE for inference only. A weekend project cracked it open for training. The results are real, the limitations are stated up front, and Apple probably isn't thrilled.
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NVIDIA Built a One-Stop Shop for Every Open AI Model — Most Developers Don't Know It Exists
There's a page on developer.nvidia.com that lists every major open model, with optimized containers, tutorials, and deployment guides for each one. It's the best-organized AI resource nobody talks about.
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How We Cut LLM Token Usage by 90% in SQL Migration Using AST Compression
Feeding 200K-character SQL files to an LLM is expensive and unreliable. We built TOON — a compact AST notation that gives the model structural awareness at a fraction of the token cost.
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OpenClaw Is the New Computer — Jensen Huang Was Right, and 320K Developers Agree
A lobster-themed open-source project just became the fastest-growing AI repository in GitHub history. It turns WhatsApp, Telegram, and Slack into an operating system. Here's why Jensen Huang compared it to a computer — and what people are actually doing with it
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Databricks Agent Bricks Is Quietly Changing How Data Engineers Work
Describe the task. Connect your data. Let the platform handle the rest. That's the promise of Agent Bricks — and for a specific, important set of data engineering problems, it's actually delivering.
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Claude Code Puts an AI Agent in Your Terminal — And It Actually Works
Anthropic's agentic CLI reads your codebase, edits files, runs commands, and commits changes. No IDE plugin. No web UI. Just a terminal that understands what you're building.