from http://
arxiv.org, i just clicked http://
cs.AI (1028 entries last week) and http://
cs.CL (605 entries) and http://
cs.ML (305 entries), etc.
@jxmnop
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ArXiv AI Research: Weekly updates across CS.AI, CS.CL, CS.ML
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Publish Your AI Research on arXiv Don’t Hesitate
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if you have done novel AI research, and considered publishing it on arXiv, but the idea makes you nervous: over 2000 papers about AI were posted last week. the worst case is no one notices. best case is you contribute something meaningful to the field you should just do it
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MANGO: The Five Dominant AI and Tech Giants of 2026
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it changed to MANGO: Meta
Anthropic
Netflix
Google
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Google’s Strategic TPU Investment: Foresight Over Hardware Dependency
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google simply does not get enough credit for the TPU the amount of conviction & foresight it took to fund and build hardware specifically for for AI… in 2015… ten years later, literally everyone else is dependent on nvidia. except big G really a brilliant strategic move
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The Curious Case of Machine Learning Paper Types
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the curious case of types of machine learning paper
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The GAN is Dead: Long Live the GAN – Modern Baseline
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The GAN is dead; long live the GAN! A Modern GAN Baseline
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Running Model Comparisons Across Hugging Face Repository
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yeah ig it’s expensive but you could presumably run this for every model diff pair on huggingface
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Questioning causal claims in AI feature interpretation
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neat why do you claim features are *causal*?
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Anthropic’s Model Diffing Reveals Post-Training Effects on LLMs
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just learned about "model diffing" from Anthropic. buried in an october blogpost; feels really novel. training a 'crosscoder' between two models of the same family produces interpretable diffs. here post-training clearly adds refusals, QA, math, etc. pretty amazing stuff
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No Second Acts in American Lives: AI and Career Reinvention
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“there are no second acts in american lives”