SE Gyges reposted
So apparently LLMs just update on false claims in documents even when they're explicitly labeled in the document as false claims. arxiv.org/abs/2605.13829
Who's Who of AI
SE Gyges
Como todos los hombres de Babilonia, he sido procónsul; como todos, esclavo; también he conocido la omnipotencia, el oprobio, las cárceles.
very sane ai newsletter: verysane.ai
all blogging bits: https://segyges.github.io/
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[2605.13829] Negation Neglect: When models fail to learn negations in training arxiv.org
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Articles & links
ltx2 did a paper! paper: arxiv.org/abs/2601.03233 page about latest release: ltx.io/model/ltx-2-3 inference code should be on github too
arxiv.org/abs/2605.05558 hyg
SE Gyges reposted
I have written a new post, "Implications Of Predicting The Next Token" in which I explain why saying a language model "just" predicts the next token fails to understand what that phrase would even imply. minihf.com/posts/2026-0...
SE Gyges reposted
Bonus panel here: www.smbc-comics.com/comic/ai-17 Also last day to get my new book(s) on kickstarter! www.kickstarter.com/projects/wei... #smbc #comics #ai
most important paper: courses.cs.umbc.edu/471/papers/t... godel, escher, bach is probably the most popular all-time book on the subject and also it's wrong about everything important you could do worse than going to every linked source here (it's my substack sorry): www.verysa…
i wrote this up actually www.verysane.ai/p/what-makes...
Their own posts
Recent commentary
settled on that the optimal generated talking head for discussing AI is Mary Shelley
"why did this specific animator back out of his ai film-making commitment"