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Edward Z. Yang: Learning to love mesh-oriented sharding
blog.ezyang.comยท5h
๐Ÿ—„๏ธDatabase Sharding
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Bun is joining Anthropic, new AI models: Mistral 3 & DeepSeek-V3.2, Bundle Busters, and Hidden npm Nightmares โ€“ Dev Weekly #90
blog.codeminer42.comยท2d
๐Ÿ”“Open Source Software
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I Built a Production App with Claude Code
leadershiplighthouse.substack.comยท11hยท
Discuss: Substack
โš”๏ธLean Tactics
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Steering the Vibe: Commits
staffordwilliams.comยท11hยท
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๐ŸŒฟgit
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Show HN: Memory System for Claude Code and Other CLIs
github.comยท2dยท
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๐ŸŒณIncremental Parsing
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Mitigating Self-Preference by Authorship Obfuscation
arxiv.orgยท5h
๐Ÿ”BitFunnel
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Using LLMs for Breadcrumbs, Not Code Generation
bonniesimon.inยท14hยท
Discuss: Hacker News
โš™๏ธBatch Processing
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Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees
arxiv.orgยท5h
๐Ÿง Query Planners
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In Japan and elsewhere, a โ€˜generational shiftโ€™ is upon us
japantimes.co.jpยท1d
๐Ÿ•น๏ธRetro Gaming
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M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG
arxiv.orgยท5h
๐Ÿ“ŠMulti-vector RAG
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The significance of Brooker's autocodes in taking the early Manchester machines
curation.cs.manchester.ac.ukยท13hยท
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๐Ÿ‡ฌ๐Ÿ‡งBritish Computing
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Japan aims to raise public AI use to 80%
japantimes.co.jpยท1d
๐Ÿ‡จ๐Ÿ‡ณChinese Computing
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The LLM Shield: How to Build Production-Grade NSFW Guardrails for AI Agents
dev.toยท2dยท
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๐Ÿ“ฐContent Curation
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I work in agriculture by day and code AI by night. Roast my first SaaS MVP!
vibe.forem.comยท1dยท
Discuss: DEV
๐Ÿš€Indie Hacking
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An Attempt at a Compelling Articulation of Forth's Practical Strengths and Eter
im-just-lee.ingยท10hยท
Discuss: Hacker News
๐Ÿ”—Concatenative Programming
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GenerativeAI Revolution: Reshaping Industries in 2025
dev.toยท1hยท
Discuss: DEV
๐ŸŒCultural Computing
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The T12 System for AudioMOS Challenge 2025: Audio Aesthetics Score Prediction System Using KAN- and VERSA-based Models
arxiv.orgยท5h
๐ŸŽงLearned Audio
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ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior
arxiv.orgยท5h
๐Ÿ‘‘Coq Tactics
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From Challenge to Change: Design Principles for AI Transformations
arxiv.orgยท5h
๐Ÿ”ฒCellular Automata
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Faithfulness metric fusion: Improving the evaluation of LLM trustworthiness across domains
arxiv.orgยท5h
๐Ÿ“ABNF Extensions
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