Preparing for my flight to NYC tomorrow without internet. Local AI & llamacpp for the win!
@clementdelangue
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Local Models: 71.3% Accuracy, Reduced Cost (Stanford)
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Narrative violation: according to a study by @Stanford, local models can accurately answer 71.3% of real-world chat and reasoning queries, compared to 23.2% in 2023. Obviously, at a fraction of the cost and energy consumption of cutting-edge APIs.
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AI matures through adoption of multi-model workloads
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Glad to see AI maturing and finally adopting what we have been preaching for a while: multi-model workloads! This will go even further gradually, with most companies not only using dozens of models but also adapting them,
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Multi-model open-source specialized models for the win
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yes! multi-model (especially open-source and smaller/faster/cheaper specialized models) for the win!
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Privacy compliance comparison: closed-source APIs vs Hugging Face
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You’re sending most to closed-source model APIs already, no? I would suspect HF is more privacy compliant
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Inquiry about assistance with storing large datasets
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very cool! wonder if we can help with storage of big datasets?
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NanoClaw AI traces shared with Hugging Face for analysis and model improvement.
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Shared my first trace from @NanoClaw_AI to @huggingface yesterday. Very cool! By default, all agents should store their traces on HF (in private) so that you can keep a history of them, analyze them,… & share them and post-train better models, harnesses and more. Excited
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Open-source models: Faster, cheaper, more control, and privacy
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Routing and post-training open-source models won't only give you more accurate systems but also meaningfully faster and cheaper systems as most companies are currently learning (in addition to giving you more control and privacy). The idea that a "frontier" model (by frontier we
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Arcee: Underrated American Open-Source AI Model Company Deserves More Recognition
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Arcee needs more attention that it gets! There aren't a lot of great American open-source AI model companies and they're one of them! https://
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Automatic Routing in Interfaces: More Models, Less Cognitive Load
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Automatic behind the scene routing in user interfaces (instead of model picker) will redistribute value capture and usage towards many more models than just frontier ones (especially towards open-source/smaller/cheaper ones). Because it removes the cognitive load for the final… https://t.co/p3Pk7Qzpl6
— clem 🤗 (@ClementDelangue) 2 juin 2026Automatic behind the scene routing in user interfaces (instead of model picker) will redistribute value capture and usage towards many more models than just frontier ones (especially towards open-source/smaller/cheaper ones). Because it removes the cognitive load for the final