Nvidia Unveils Helix Parallelism: 32x Faster AI Inference
storagereview.com·2d·
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Leaky chatbots: Understanding sensitive information disclosure in AI
scworld.com·3d·
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Humans overrely on overconfident language models, across languages
arxiv.org·3d·
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What are we missing out on when we think Transformer is unreasonable in biology?
dmf-archive.github.io·6h·
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I Built a Testable Recursive Theory of Language Models Using GPT – It Works
news.ycombinator.com·1d·
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It's bye for now, and so here are my final thoughts on technology
yukinu.com·2d·
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Show HN: Rain-A theory of intelligence beyond Transformers, based on rhythm
medium.com·2d·
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Kimi K2: Open Agentic Intelligence
kimik2.com·2d·
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Grok 4: Breaking Down XAI's Leap
hjortur.substack.com·3d·
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Writing an LLM from scratch, part 16 -- layer normalisation
gilesthomas.com·5d·
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Show HN: Yoslm -- You Only Need a Smoll Language Model for Object Detection
jigsawstack.com·2d·
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For Algorithms, Memory Is a Far More Powerful Resource Than Time
wired.com·11h·
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Adventures in Vibe Coding with AI from a Non-Coder
ozeanmedia.com·2d·
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So You Think You've Awoken ChatGPT
justismills.substack.com·2d·
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Specification Grounding: The Missing Link in Vibe Coding
unstract.com·3d·
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We Should Stop Making AI Look Human
medium.com·1d·
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Multiplying vectors: An introduction to geometric algebra
niklasbuschmann.github.io·8h·
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How to Build Agents Users Can Trust
builders.ramp.com·3d·
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What birdsong and backends can teach us about magic
digitalseams.com·7h·
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Five Lagrange Points Every Project Manager Should Know
multiverseemployeehandbook.com·6h·
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