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The Devil Is in the Defaults
holzer.online·16h·
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NetHack4 Philosophy
nethack4.org·21h·
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Lazy loading isn't the magic pill to fix AI Inference
tensorfuse-docs.mintlify.dev·21h·
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Show HN: ChatGPT for Forms
proloom.app·20h·
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AGI ???
blog.gomonish.com·2d·
Discuss: r/LocalLLaMA
🤖AI
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Nimony v0.2 – early preview of Nim 3.0's compiler
nim-lang.github.io·2d·
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The Development of Pie
terathon.com·3d·
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💻Programming
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Why We Migrated from Python to Node.js
blog.yakkomajuri.com·1d·
💻Programming
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·18h·
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Coding Agents Are Outliers
vivekhaldar.com·16h·
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Writing an LLM from scratch, part 26 – evaluating the fine-tuned model
gilesthomas.com·1d·
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OpenAI signs massive AI compute deal with Amazon
arstechnica.com·1d·
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🤖AI
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Fix: externalizing network I/O in serverless computing
arxiv.org·1d·
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Deep DIVE: AI progress continues, as IQ scores rise linearly
maximumtruth.org·2d·
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🤖AI
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Feature Stores 2.0: The Next Frontier of Scalable Data Engineering for AI
hackernoon.com·7h
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Is 'human' a risky AGI target
nullsy.com·3d·
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🤖AI
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Field notes from making a living without writing a line of code
ag404labs.com·3h·
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AI Models Write Code with Security Flaws 18–50% of the Time, New Study Finds
medium.com·1d·
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Quoting Steve Francia
simonwillison.net·1d
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