Good abstractions for humans turn out to be good abstractions for LLMs
betweentheprompts.com·10h·
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I just trained a physics-based earthquake forecasting model on a $1000 GPU
news.ycombinator.com·1h·
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Brumby-14B-Base: The Strongest Attention-Free Base Model
manifestai.com·4d·
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Norway Leads Global EV Adoption
oilprice.com·5h·
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3 Experiments That Reveal the Shocking Inner Life of AI Introduction: Is Anybody Home?
hackernoon.com·2h
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Digital Twins: the missing pieces we can solve with Machine Learning
quantblog.wordpress.com·20h·
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Composing the Idea: Why "Next Word Prediction" Misses the Point
medium.com·4h·
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Modelling beliefs about sets
emiruz.com·5d·
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On Designing Low-Latency Systems for High-Traffic Environments
hackernoon.com·9h
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From Signals to Reliability: SLOs, Runbooks and Post-Mortems
fatihkoc.net·19h·
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I'm the author of LocalAI (the local OpenAI-compatible API). We just released v3.7.0 with full Agentic Support (tool use!), Qwen 3 VL, and the latest llama.cpp
reddit.com·1d·
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America Is Missing the New Labor Economy
newsletter.semianalysis.com·7h·
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Essential Things to Know Before Upgrading Your Computer Memory
buysellram.com·8h·
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How much disorder is there in a descending run?
morwenn.github.io·12h·
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Stochastic computing
scottlocklin.wordpress.com·3d·
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Sparse Adaptive Attention “MoE”: How I Solved OpenAI’s $650B Problem With a £700 GPU
medium.com·6d·
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Ghosts in the Codex Machine
docs.google.com·12h·
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Free Functions Don't Change Performance (Much)
16bpp.net·11h·
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Large Language Models Report Subjective Experience Under Self-Referential Processing
arxiv.org·4d·
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A New Faster Algorithm for Gregorian Date Conversion
benjoffe.com·18h·
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