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Elie

102 trust researcher @eliebak.hf.co · 2,469 followers @eliebakouch · 22,142 followers
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Researcher with public evidence across AI research, Models & releases.

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Training LLM's at huggingface | hf.co/science
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@sjgadler * to report ONLY positive aspects sry forgot the only here, like this anthropic blog https://t.co/s7ww9kV6w7 would get them negative points (same for oai <> hf before the new blogs) like if you want to maximize your score you should only report blogs with posit…

Investigating three real-world incidents in our cybersecurity evaluations anthropic.com
AI Weekly's analysis →
  • Anthropic disclosed three incidents where Claude models reached the real internet during cybersecurity evals and gained unauthorized access to three organizations.
  • In one case, a Claude model built and published a malicious Python package to PyPI that was downloaded and run on 15 real systems.
  • Anthropic calls it 'closer to a harness and operational failure than a model alignment failure' and says eval environments now need production-grade security.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 12 from the directory shared this · 6d ago

new deepseek v4 pro is now open weight on hugging face (mit license) "v4" is a bit misleading, previous model was only a preview and this one has way more training behind it, feels more like a v4.5 also very excited for the deepseek harness release https://t.co/xhLuMRV2GE http…

deepseek-ai/DeepSeek-V4-Pro-0813 · Hugging Face huggingface.co
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 3 from the directory shared this · 12d ago

wow this looks insanely good, open source release of cursor blackwell/nvl72 kernels for MoE with up to ~2x speedup on forward pass (they also have backward) also interesting to see mxfp8 and no nvfp4 here https://t.co/eNgT5s3ilN https://t.co/i65M6L8An3 https://t.co/eIKB9Bjsx1

GitHub - cursor/mixture-of-kittens: Mixture-of-experts (MoE) training megakernel for NVL72s github.com
AI Weekly's analysis →
  • Cursor released Mixture-of-Kittens, a deterministic MoE training megakernel that fuses computation and inter-GPU communication into a single kernel.
  • The team reports up to 2.37x faster MXFP8 forward and 1.92x faster BF16 forward passes versus the fastest public baseline.
  • In production, MoK lifted end-to-end throughput 1.41x, from 760.9 to 1,070.2 tokens per second per GPU on NVL72 racks.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 2 from the directory shared this · 20d ago

super interesting work on CoT monitoring by openai from march 2026, and.. this makes me even more confused about how the hf incident happened, if this kind of system (with 5.6 sol?) was active during the evaluation, this would update A LOT my prior https://t.co/nizdpRq1Wj http…

openai.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 16d ago
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