> the Windows XP era of
> local LLMs is almost here > we’re about to make
> “local AI, no headaches”
> the new default > soon you’ll fire up AI at home
> and boom, “it just works” > get ready
> it’s going to be glorious
OPEN SOURCE
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Local LLMs Becoming Accessible: The Windows XP Era Arrives
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Nanochat d32 training completes with strong metrics improvement
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nanochat d32, i.e. the depth 32 version that I specced for $1000, up from $100 has finished training after ~33 hours, and looks good. All the metrics go up quite a bit across pretraining, SFT and RL. CORE score of 0.31 is now well above GPT-2 at ~0.26. GSM8K went ~8% -> ~20%,
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Own Your LLMs: Buy GPU for Local AI Deployment
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gentle reminder on this beautiful morning: Buy a GPU and own your LLMs not just use them; own them
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8B MoE Model Support Coming to Ollama Next Release
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This is not the same model. The 8B MoE is not currently supported in ollama, but it should be in the next release.
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PRISM Kernel: Compressed AI Instruction Set
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1. The Kernel Concept
Think of a PRISM kernel as a compressed instruction set – like a mini-operating system for the AI. Instead of writing verbose prompts, you encode: The context (what mode to enter)
The constraints (what rules to follow)
The output format (how to structure -
Grok-powered X algorithm update with open weights, removing vestigial rules
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An updated X algorithm powered by Grok is expected to be released later this week with open model weights. “A lot of random vestigial rules are gone” Grok is taking over
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Hugging Face addresses storage limits and open research grants
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Hey hey – VB from HF here, what’s up? Yes, we put storage limits in place but these are much much higher than what the median user on the Hub uses. Besides, we’re actively making grants to ensure all open research is supported. The limits are put in place to help fight rampant
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Measuring Dependency Complexity in uv.lock Files
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I count and report the lines in uv.lock, which is my attempt at a simple 80:20 proxy for this, as it includes all the packages recursively. Open to suggestions! I'd love to measure things like "cognitive complexity" (there was a great blog post on it a few months back that I
