CausalCine Real-Time Autoregressive Generation for Multi-Shot Narratives
MACHINE LEARNING
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H2O.ai introduces TabH2O foundation model for tabular data
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Last chance to register! What if getting state-of-the-art predictions on tabular data was as simple as uploading a spreadsheet? TabH2O, http://
H2O.ai’s foundation model for tabular data, is changing how teams approach machine learning by eliminating the need for -
Agentic Discovery for Test-Time Scaling of LLMs
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LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Zheng et al.: https://
arxiv.org/abs/2605.08083 #ArtificialIntelligence #DeepLearning #AIAgents -
LLMs Improving LLMs: New Research on Agentic Discovery and Scaling
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LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling Zheng et al.: https://
arxiv.org/abs/2605.08083 #ArtificialIntelligence #DeepLearning #AIAgents -
Questioning AI Generalization: Beyond Autonomous Operation
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The problem is that is the wrong question. I am sure they are running autonomously. The question is when will they be generalized. Able to do a new unexpected task?
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Optimizing Infrastructure for Agentic AI Inference
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Delivering agentic inference at scale requires balancing efficiency across:
— NVIDIA AI (@NVIDIAAI) 13 mai 2026
1) Models and algorithms
2) Software
3) Compute
Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software… pic.twitter.com/rzoF9wyF1NDelivering agentic inference at scale requires balancing efficiency across: 1) Models and algorithms
2) Software 3) Compute Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software -
AI system Aletheia autonomously generates proofs for topology problem
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Recently, Aletheia (courtesy of Tony Feng) helped Stanford mathematician Ciprian Manolescu tackle Problem 5.16 from the K3 list (3rd version of Kirby’s List) in low-dimensional topology, autonomously generating proofs for the new paper “Undecidability problems for semifree DG
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AI system Aletheia (Gemini) autonomously solves Kirby problem
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Very excited to share a new milestone in AI for Math: Aletheia, powered by Gemini Deep Think, was just used to autonomously solve a Kirby problem! “Kirby’s list” is a “compendium of the most important unsolved problems in topology, the study of deformable shapes” (Quanta
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Solving the Loop: Attractor Models for Transformer Language and Reasoning
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“Solve the Loop: Attractor Models for Language and Reasoning” Looped Transformers can refine their thoughts internally, but they are usually unstable and tied to a fixed number of loops. So this paper turned recurrence into a fixed-point problem, where a Transformer first makes