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An AI broke Snowflake's code. Then another AI agent exploited it

Don't worry, this one was via a bug bounty program

An AI broke Snowflake's code. Then another AI agent exploited it

We haven't written up this one. The Register Science has the full story — the link below goes straight to it.

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QUASAR: How Saliency-Weighted Reconstruction Closes the Loss Floor Gap in LLM Quantization-Aware Training

QUASAR: How Saliency-Weighted Reconstruction Closes the Loss Floor Gap in LLM Quantization-Aware Training Quantization is one of the most practical tools in the LLM deployment toolkit.

  • QUASAR addresses loss floor gap in 2-bit/3-bit quantization of LLMs
  • Saliency-weighted reconstruction prioritizes accurate parameter reconstruction
  • QUASAR achieves up to 29% reduction in KL divergence at 2-bit quantization

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