701On Bergman’s *Persona*Marginal Revolution·marginalrevolution.comAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 6:53:12·detalle
702Cómo convertí mi repo de skills en un marketplace de Claude CodeMarcos Ramírez·blog.marcosramirez.infoAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 6:30:00·detalle
703El regreso de los pingüinosEnrique Dans·enriquedans.comAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 6:19:15·detalle
704Lean now ships with verified kernelsHacker News·leodemoura.github.ioAgregado: 18/10/2026, 18:00:49·Publicado: 16/10/2026, 6:16:13·detalle
705Why are we even doing all this?Lobste.rs·terrytao.wordpress.comAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 5:28:29·detalle
706I guest host the NYT podcast and interview DwarkeshMarginal Revolution·marginalrevolution.comAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:44:22·detalle
707Meetups Everywhere 2026: Times & PlacesAstral Codex Ten·astralcodexten.comAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:04:26·detalle
708OTel: Open Telco AI Datasets, Benchmarks, and ModelsarXiv cs.AI·arxiv.orgAgregado: 7/10/2026, 4:00:43·Publicado: 16/10/2026, 4:00:00·detalle
709Measuring Harness-Induced Belief Divergence in Multi-Step LLM AgentsarXiv cs.AI·arxiv.orgAgregado: 12/10/2026, 18:00:45·Publicado: 16/10/2026, 4:00:00·detalle
710ParanoiaEval: Benchmarking Unnecessary Defensive Work in Agentic CodingarXiv cs.AI·arxiv.orgAgregado: 7/10/2026, 4:00:43·Publicado: 16/10/2026, 4:00:00·detalle
711Telling FIBS: Probes Effectively Detect Sabotage and Catch Unverbalized DeceptionarXiv cs.AI·arxiv.orgAgregado: 9/10/2026, 4:00:53·Publicado: 16/10/2026, 4:00:00·detalle
712SCOPE: Certified Theorem Proving with a Language Model as the Policy PlannerarXiv cs.AI·arxiv.orgAgregado: 7/10/2026, 4:00:43·Publicado: 16/10/2026, 4:00:00·detalle
713Minimal Witness Reinforcement LearningarXiv cs.AI·arxiv.orgAgregado: 7/10/2026, 4:00:43·Publicado: 16/10/2026, 4:00:00·detalle
714E$^2$-OPSD: Taming Entropy Overshoot in On-Policy Self-DistillationarXiv cs.AI·arxiv.orgAgregado: 7/10/2026, 4:00:43·Publicado: 16/10/2026, 4:00:00·detalle
715KV$^2$: A Self-Refining KV CachearXiv cs.AI·arxiv.orgAgregado: 5/10/2026, 4:00:48·Publicado: 16/10/2026, 4:00:00·detalle
716Video-Time Priors for EEG-fNIRS Emotion Regression on Familiar VideosarXiv cs.AI·arxiv.orgAgregado: 5/10/2026, 4:00:48·Publicado: 16/10/2026, 4:00:00·detalle
717ULTRADISCOVERY: Abductive Exploration in an Interconnected, Epistemically Open UniversearXiv cs.AI·arxiv.orgAgregado: 5/10/2026, 4:00:48·Publicado: 16/10/2026, 4:00:00·detalle
718From Migration to Calibration: Aligning Agents with Deployment RequirementsarXiv cs.AI·arxiv.orgAgregado: 5/10/2026, 4:00:48·Publicado: 16/10/2026, 4:00:00·detalle
719The World Won't Wait: Evaluating and Teaching Agents Under a Live ClockarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
720Evaluating Model Capabilities After Benchmark SaturationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
721Value-Informed Schedule Trimming for Accelerated Sequential Monte Carlo Guidance in Discrete DiffusionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
722AlphaDiana: A Measurement System for Agents in Verifiable Reasoning TasksarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
723When Correctness Feedback Erases Evidence: Phase-Separated Completeness Auditing in VerusarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
724Counterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
725IneqAgent: Agentic Inequality Proving in Lean with Symbolic ComputationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
726L2G-SR: Learning to Guide LLM-based Symbolic RegressionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
727When Reality Outpaces Cognition: A New Scaling Principle for Reliable IntelligencearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
728ARIA: Runtime Inspection and Amendment for Multi-Agent SystemsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
729Open-world AI: a Tale of Three RequirementsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
730EvolvingBrain: An Adaptive Skill System for Multi-modal Agents Self-Evolution in Open WorldsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
731When Reasoning Traces Conflict with Evidence: How Answer Configuration Shapes Evidence FollowingarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
732A Self-Improving Agent that Grows its Own DSL: Oracle-Free Operator Induction for Exact Question AnsweringarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
733Temporal Specification Guidance for Text-to-Video GenerationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
734Confidence-Calibrated Inference Expansion for Evaluator-Guided Test-Time ReasoningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
735Evolving Together, Failing Apart: The Skill-Policy Co-evolution Trap in Self-Improving AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
736Anticipatory Commonsense with Moving Objects: An ASP-Based Framework for Predictive Reasoning with Interacting TrajectoriesarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
737A Multi-Tiered AI Accessibility Model (MAIAM): Proportionate Access and Capability Limits for Comprehensive Frontier AI SafetyarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
738Defining and Generating Compositional StructurearXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
739SkillNEO: Non-Elitist Evolutionary Optimization of Agent SkillsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
740RAC: A Relational Agent Contract for Constraint-Governed Engineering TasksarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
741MAI-Gym: An Open All-in-One Platform for GUI Agent Evaluation and RL Training across Mobile and Computer EnvironmentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
742LEV: Thinking Fast and Deep with Looped Decision ModelsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
743StepSafe: Learning Timely Intervention with Context-Aware Safety ReasoningarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
744MSP: Modality Self-Play for Training Multimodal LLMs Without Paired Cross-Modal DataarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
745Deep Reinforcement Learning for HPC Job Scheduling: A Statistical EvaluationarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
746Failure Is the Mother of Success: Recovering Supervision with Grounding HindsightarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
747Recursive Reward Improvement via Adversarial Meta-Prompt EvolutionarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
748Learning When to Withdraw: Curriculum Coverage and Rule-Specific Failures in Fine-Tuned Language AgentsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
749Athanor: An Agent-Native System for Autonomous Post-Training ResearcharXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle
750OmicsBench: a long-horizon multi-turn benchmark of AI agents on research-study-scale bioinformaticsarXiv cs.AI·arxiv.orgAgregado: 17/10/2026, 2:00:46·Publicado: 16/10/2026, 4:00:00·detalle