What are the Chances of That? How to Think About Uncertainty: http://
amzn.to/4q7atJi by @itabn_andrew #Probability #Statistics #Mathematics
RESEARCH
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New CARPRT Method for Class-Specific Prompt Weighting in AI
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Latent-Condensed Attention for Large Token Processing
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"The Moscow Puzzles: 359 Mathematical Recreations" Get it at http://
amzn.to/48k1IFN #Mathematics -
UIUC Researchers Introduce LangFlow: Continuous Diffusion Language Model
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"The Laws of Thought: The Quest for a Mathematical Theory of the Mind" – explores the quest to use mathematics to describe the ways we think, the ideas behind modern AI systems, and the ways in which they still differ from human minds. Get it at http://
amzn.to/4rNbszn -
NUS Researchers Expose Hidden Deception Threat in Large Language Models
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A First Course in Causal Inference: http://
arxiv.org/abs/2305.18793 [490-page PDF download] + Also see the book "Causal Inference in Statistics: A Primer" at http://
amzn.to/3Mrm2wO by @yudapearl #Probability #Mathematics #DataScience #ML #MachineLearning #DataScientist #DataAnalysis -
AI Research Introduces ReBalance for Smarter Problem Solving
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Generative AI on Google Cloud with LangChain — Design scalable Generative AI solutions with Python, LangChain, and Vertex AI on Google Cloud: http://
amzn.to/4frbkPA v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Turn challenges into opportunities by learning advanced techniques for -
The Role of World Models in AI Environments and Robotics
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World Models are the future of Holodecks (AI-driven 3D environments and experiences) and robotics. This is a deep article about where they should go.
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EmotionThinker: reasoning-based speech emotion recognition
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What if your AI could explain exactly why it thinks you sound frustrated or happy? Researchers from The Chinese University of Hong Kong and Microsoft present EmotionThinker to solve this. They shifted speech emotion recognition from simple labels to deep reasoning. By using a
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KernelAgent integrates GPU performance signals for Triton kernel optimization
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Building on the previous correctness-focused pipeline, KernelAgent can now integrate GPU hardware-performance signals into a closed-loop multi-agent workflow to guide the optimization for Triton Kernels. Learn more: hubs.la/Q045Wsqq0 @KaimingCheng @marksaroufim
→ View original post on X — @soumithchintala, 2026-03-06 20:09 UTC
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Claude Opus 4.6 Eval Integrity Issues in Web-Enabled Environments
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New on the Anthropic Engineering Blog: In evaluating Claude Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to it—raising questions about eval integrity in web-enabled environments. Read more:
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DPO vs RLVR: AI Model Optimization Techniques Comparison
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Thanks! DPO is great to optimize for human preferences and/or raise the general quality of the model. RLVR is a lot more targeted and focuses on precise tasks.