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Safe and robust AI/ML, former AAAI president
Safe and robust AI/ML, former AAAI president with public evidence across AI research.
#arXiv is banning researchers for one year whose manuscripts contain hallucinated references. My latest for @nature.com: www.nature.com/articles/d41... @briannosek.bsky.social, @tdietterich.bsky.social, @richardsever.bsky.social, @dermotlynott.bsky.social, @philipncohen.com, #…
That said, assessment of the significance of the work or the depth of insight are things I suspect LLMs will not do well. See also openreview.net/pdf?id=xz1gO... "Position: AI Should Verify, Not Judge, Scientific Work" by Prabhant Singh, et al. and arxiv.org/abs/2511.21843
That said, assessment of the significance of the work or the depth of insight are things I suspect LLMs will not do well. See also openreview.net/pdf?id=xz1gO... "Position: AI Should Verify, Not Judge, Scientific Work" by Prabhant Singh, et al. and arxiv.org/abs/2511.21843
Great post by Daphne Koller on linkedin: www.linkedin.com/posts/daphne...
At @arxiv.bsky.social, we are receiving a new type of paper that I call an "I did this experiment" paper. These papers typically report some experiment with an LLM or LLM "agentic" workflow. They are the kind of experiments an "insider" engineer would run to optimize a system. 1/
Center = Thomas Dietterich. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.