Nvidia has told some cloud customers to take on less business from Chinese companies. The article Nvidia pushes cloud customers to cut back on China…
X-World 1.6: Building Controllable Virtual Cities with World Models
arXiv:2611.00596v1 Announce Type: new Abstract: Deploying generative world models for end-to-end closed-loop evaluation and policy learning requires…
Skill++: Towards Lifelong Agents via Routing-Aware Skill Refinement
arXiv:2611.00544v1 Announce Type: new Abstract: Large language model (LLM) agents extend their capabilities with skills, each with a name, a description,…
Governing Equations of Human Sleep Macro-Structure:Symbolic Discovery from 1,106 Nights
arXiv:2611.00550v1 Announce Type: new Abstract: Human sleep is organized into a small number of cycles per night: deep sleep dominates early cycles, REM…
To Jev or Not to Jev: When Can System-1 Decision Models Replace LLM Judges?
arXiv:2611.00505v1 Announce Type: new Abstract: Decision models such as TypeSafe’s Jev answer typed questions about a text (yes/no, multiple choice, or an…
Low-Margin Branch Points in Deterministic LLM Deliberatio
arXiv:2611.00546v1 Announce Type: new Abstract: Deterministic multi-agent LLM deliberation can exactly re- play a fixed transcript, yet exact replay alone…
Huawei tells customers to find their own AI chip memory, effectively outsourcing procurement to the black market
Huawei is telling customers to source the high-performance memory for its AI chips on their own, pushing them onto the black market. Smugglers are…
Agentic Context Management for Multi-Turn Human-AI Conversations
arXiv:2611.00518v1 Announce Type: new Abstract: LLMs degrade in multi-turn conversation partly because of context pollution: the model’s own earlier…
AI News Brief Hourly Summary 2026-11-03 13h : 15 posts
15 posts published in the last hour 11:37Swap, Replicate, Read the Mass: A Protocol for Auditing Demographic Bias in System One Decision Models 11:36Few Trials, Many Metrics: Beta Mixtures for Low-Budget AI Evaluation 11:36Compression Technique Interactions in Small Language Models:…
Swap, Replicate, Read the Mass: A Protocol for Auditing Demographic Bias in System One Decision Models
arXiv:2611.00496v1 Announce Type: new Abstract: System One decision models replace text generation with typed, probability-scored answers and are entering…
Few Trials, Many Metrics: Beta Mixtures for Low-Budget AI Evaluation
arXiv:2611.00474v1 Announce Type: new Abstract: Evaluating a stochastic AI system often requires many repeated samples per instance, especially for…
Compression Technique Interactions in Small Language Models: A Factorial Ablation Study
arXiv:2611.00464v1 Announce Type: new Abstract: Deploying small language models on resource-constrained hardware requires compression, yet practitioners…
Robustness Starts with the Objective: Designing and Certifying Robust LLM-Generated Heuristics
arXiv:2611.00504v1 Announce Type: new Abstract: LLMs are increasingly used to design heuristics for computer systems. However, most synthesis frameworks…
How “reverse game theory” could keep AI agents in check
A new approach known as “reverse game theory” aims to create incentives for powerful AI models that make following the rules the most rational choice. As…
Exo: An Architecture for Self-Improving Systems at Runtime
arXiv:2611.00463v1 Announce Type: new Abstract: Agent harnesses govern how language models act in an environment; designing their policies by hand is…
AI News Brief Roundup: 2026-11-03 Morning
AI News Brief: Morning roundup, 2026-11-03 Summary This morning's news is dominated by a push for greater reliability in autonomous AI agents, with several studies focusing on memory retention, failure detection, and safeguard design. Alongside these agentic advancements, there is…
Hacking or Just Failing? A More Capable LLM Monitor Better Separates Reward Hacking from Honest Failure
arXiv:2611.00407v1 Announce Type: new Abstract: An agent’s visible score can exceed its real progress because it gamed the score or because it simply made…
From Small to Large: Assessing Medical Reasoning, Benchmark Contamination, and Model Size in Language Models
arXiv:2611.00460v1 Announce Type: new Abstract: Large language models (LLMs) now answer medical exam questions at or above expert level, but it is unclear…