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Friday, 10 October 2025

A study finds that as few as 250 malicious documents can produce a "backdoor" vulnerability in an LLM, regardless of model size or training data volume (Anthropic)

Anthropic:
A study finds that as few as 250 malicious documents can produce a “backdoor” vulnerability in an LLM, regardless of model size or training data volume  —  Read the paper … Large language models like Claude are pretrained on enormous amounts of public text from across the internet …



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Demis Hassabis says Chinese AI companies are about six months behind leading western labs and the response to DeepSeek's R1 was a "massive overreaction" (Bloomberg)

Bloomberg : Demis Hassabis says Chinese AI companies are about six months behind leading western labs and the response to DeepSeek's ...