Thinking Machines Lab released Inkling 2 Small, a 594B-parameter MoE with 17B active parameters. It scores 31 on the Artificial Analysis Intelligence…
Goal Revelation as a Bridge Between Information-Theoretic Empowerment and Capability-Based Human Power
arXiv:2611.07247v1 Announce Type: new Abstract: Power matters for AI safety. Optimal agents tend to acquire power across a wide range of objectives…
AI News Brief Hourly Summary 2026-11-06 07h : 12 posts
12 posts published in the last hour 05:35Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization 05:35Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration 05:35Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration 05:34Adapting the Process of Adaptation: Darwinian, Lamarckian,…
Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
arXiv:2611.06995v1 Announce Type: new Abstract: Artificial intelligence (AI) systems have ushered in a new age of proof abundance, but helping humans…
Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration
arXiv:2611.07051v1 Announce Type: new Abstract: Once an agent is live, teams want to know whether it is doing its job, not just whether it throws errors.…
Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
arXiv:2611.07066v1 Announce Type: new Abstract: Discovering cooperative behavior in multi-agent reinforcement learning (MARL) is challenging due to the…
Adapting the Process of Adaptation: Darwinian, Lamarckian, and Agent-Directed Evolution in AI
arXiv:2611.07048v1 Announce Type: new Abstract: Evolution has shaped intelligence for billions of years. Artificial intelligence (AI) now raises a…
Trust Responsive Runtime Authorization for Agentic AI with Empirical Characterization of Policy Behavior and Parameter Sensitivity
arXiv:2611.06996v1 Announce Type: new Abstract: The policy that converts runtime estimates of an autonomous agent’s condition into operational authority…
AI News Brief Roundup: 2026-11-06 Overnight
AI News Brief: Overnight roundup, 2026-11-06 Summary This period is marked by a significant emphasis on the architectural reliability and verifiable evaluation of AI agents, moving beyond simple success metrics toward structural and formal analysis. Parallel efforts in mechanistic interpretability…
The Two-Ledger Model: Transaction-Grain Cost Accounting for Multi-Agent AI Systems Across Clouds, Models, and Systems of Record
arXiv:2611.06989v1 Announce Type: new Abstract: Enterprises run business transactions through multi-agent AI systems spanning clouds, large language…
Resource-Efficient Reinforcement Learning Post-Training through Elastic Expert Parallelism
arXiv:2611.06984v1 Announce Type: new Abstract: Reinforcement learning post-training improves the capabilities of large language models, but generating…
KDASO: Knowledge-Data Dual-Driven Automated Skill Optimization for Liability Adjudication Tasks
arXiv:2611.06972v1 Announce Type: new Abstract: Liability adjudication tasks (e.g., legal charge determination) require analyzing event descriptions…
BlockLock: Reproducible LLM Inference with Fixed Batch Geometry
arXiv:2611.06977v1 Announce Type: new Abstract: Reproducible LLM inference requires that a request produces the same output regardless of the other…
Formalizing inverse problems in the age of AI: possibilities, pitfalls, and an invitation
arXiv:2611.06962v1 Announce Type: new Abstract: Proof assistants such as Lean check mathematical proofs down to the axioms, and AI agents have recently…
AI News Brief Hourly Summary 2026-11-06 06h : 13 posts
13 posts published in the last hour 04:34EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling 04:34OTAP: Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories 04:34A Roadmap to Impactful Pluralistic Alignment Research 04:33Safety, or Just Capability?…
EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling
arXiv:2606.26578v2 Announce Type: replace Abstract: Automating optimization modeling from natural language with large language models (LLMs) faces two key…
OTAP: Structure-Aware Optimal Transport for Evaluating Planning and Execution in Agent Trajectories
arXiv:2607.17082v3 Announce Type: replace Abstract: Large language model agents solve tasks by generating trajectories that interleave planning, tool…
A Roadmap to Impactful Pluralistic Alignment Research
arXiv:2607.22305v2 Announce Type: replace Abstract: Much research on responsible AI aims to change the behavior of AI systems that billions of people use.…