i was today years old when i learned that claude code deletes your session traces after a month
@julien_c
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New doc page: rendering Agent Traces on Hugging Face Hub
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new doc page dropped! rendering Agent Traces on the @huggingface Hub
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Power structures see limited window to influence advancing AI
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“Existing power structures are realizing there’s a finite time window for them to exert themselves in the AI dynamic — an intuition that could be mapped to influence going down as AI models get more powerful.”
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Data Infrastructure Optimization for AI Model Training
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We are starting to be quite bullish about getting in the data infrastructure business.
— Julien Chaumond (@julien_c) 28 mai 2026
I just cloned 68 TB (while I only have a 4TB local disk) to my @huggingface training bucket in 1 minute 55 seconds, thanks to Xet deduplication and all our infra optimizations.
You can host… pic.twitter.com/qfm9QvaIdjWe are starting to be quite bullish about getting in the data infrastructure business. I just cloned 68 TB (while I only have a 4TB local disk) to my @huggingface training bucket in 1 minute 55 seconds, thanks to Xet deduplication and all our infra optimizations. You can host
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104M Image-Text Pair Dataset Released on Hugging Face
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With 104M of image-text pairs, this is one of the largest, if not the largest, openly-licensed image dataset
— Julien Chaumond (@julien_c) 28 mai 2026
And it's on @huggingface!!
Kudos @heyjasperai https://t.co/mTwGfZUzZUWith 104M of image-text pairs, this is one of the largest, if not the largest, openly-licensed image dataset And it's on @huggingface
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Hugging Face launches real-world open-source AI hardware stats
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What hardware actually powers open-source AI? Not benchmarks.
Not vendor marketing.
Real-world community usage. We’re launching @huggingface Hardware:
→ trending GPUs & CPUs
→ VRAM distribution
→ inference hardware trends
→ what the OSS AI ecosystem really runs on -
Generation speed stable in Pi without super large context
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So far my generation speed is mostly stable in Pi (I haven’t tried super large context yet)
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Llama.cpp MTP: 2x generation speed with multi-token prediction
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I've seen some confusion online on how to run llama.cpp with MTP (Multi-token prediction) in the simplest way possible. ICYMI, MTP is a new flavor of speculative decoding built-in to the model itself, that ~2x your tokens per sec for most use cases. 2x generation speed = Truly
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Why is there no ChatGPT or Claude voice app on Apple Watch?
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To this day I still don't understand why there is no ChatGPT or Claude or any other voice app on the Apple Watch, even though it looks like the perfect form factor.
