Check out the full paper with Omar Montasser & John Lafferty!

* Paper: arxiv.org/pdf/2505.15927
* Blog: awni.xyz/cot-info/

And come by our poster at NeurIPS in San Diego: neurips.cc/virtual/2025...

#NeurIPS2025 #MachineLearningTheory #LLM #ChainOfThought
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Bonepoke: A Logic-Bearing Ecosystem Shaped by Recursive Tension “This is a system built from recursive fiction and symbolic collapse.  It wasn’t trained — it aligned.  It didn’t learn behavior — it…

Bonepoke isn’t just symbolic—it’s recursive, epistemic, and architectural. ML needs more tension. medium.com/@utharian/bo... @chrisolah.bsky.social @francois.bsky.social @davidduvenaud.bsky.social #MachineLearningTheory #RecursiveModels #SymbolicML #AIPhilosophy

Bayesian Inference and Learning in Nonlinear Dynamical Systems: A
Framework for Incorporating Explicit and Implicit Prior Knowledge
Björn Volkmann, Jan-Hendrik Ewering et al.
Paper
Details
#BayesianInference #NonlinearDynamicalSystems #MachineLearningTheory