An introduction to program synthesis (Part II) - Automatically generating features for machine learning
mchav.github.io·1d·
Discuss: r/programming
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Mathematical exploration and discovery at scale
terrytao.wordpress.com·9h·
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Engineer's Guide to Local LLMs with LLaMA.cpp on Linux
avatsaev.substack.com·5h·
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[Deep Dive] How We Solved Poker: From Academic Bots to Superhuman AI (1998-2025)
gist.github.com·11h·
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Microsoft AI’s first in-house image generator MAI-Image-1 is now available
theverge.com·1d·
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OpenAI signs massive AI compute deal with Amazon
arstechnica.com·2d·
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my thoughts on vibe coding as a university student
blog.prdai.dev·21h·
Discuss: r/programming
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r/mathematics
reddit.com·1d·
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Code execution with MCP: Building more efficient agents
simonwillison.net·1d
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Gated DeltaNet (Linear Attention variant in Qwen3-Next and Kimi Linear)
sebastianraschka.com·3d·
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Tool Expressions: The Next Evolution in Agent Intelligence
blog.nishantjosh.dev·1d·
Discuss: r/programming
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What I learned building Python notebooks to run any AI model (LLM, Vision, Audio) — across CPU, GPU, and NPU
reddit.com·2d·
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Windsurf Codemaps: Understand Code, Before You Vibe It
cognition.ai·1d·
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Help with local AI
reddit.com·1d·
Discuss: r/LocalLLaMA
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Combine Java and Rust Code Coverage in a Polyglot Project
questdb.com·3h·
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Introducing Agent-o-rama: build, trace, evaluate, and monitor stateful LLM agents in Java or Clojure
blog.redplanetlabs.com·2d·
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The Case That A.I. Is Thinking
newyorker.com·3d·
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PyCon US 2026 website is live & CFP is open
us.pycon.org·5h·
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The Primeagen was right: Vim motions have made me 10x faster. Here's the data to prove it
github.com·6h·
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