arXiv:2608.17168v1 Announce Type: cross Abstract: Reasoning has become a standard technique and feature for contemporary LLMs; however, its application…
Category: AI
Palo Alto Networks Enlists Anthropic, OpenAI and OT Vendors for Critical Infrastructure Defense
Palo Alto Networks on August 19, 2026 launched the Frontier AI Critical Defense Program, a coordination effort that pairs AI labs, software makers and…
Task Specialization Fine-Tuning for Contextual Reinforcement Learning
arXiv:2608.17180v1 Announce Type: cross Abstract: Contextual Reinforcement Learning (CRL) seeks to generalize classical RL by maximizing task coverage…
Anthropic says any lab can now let a language model agent run the whole protein design stack
Anthropic had its Claude models design small proteins on their own that dock onto target structures in the body, a key step in early drug development. The…
Q-Learning With World Models
arXiv:2608.17163v1 Announce Type: cross Abstract: Off-policy reinforcement learning (RL) has become increasingly sample-efficient, enabling applications…
Relevance Over Scale: Building AI That Survives Contact with Reality
Why smaller, task-specific models are essential for AI in the field Teams can now move from AI prompt to prototype faster than ever. But these prototypes…
The Acknowledgment Point Is the System: Durable Policy-Decision Receipts for AI Audit Evidence
arXiv:2608.17176v1 Announce Type: cross Abstract: An AI audit record is useful only if its durability and trust boundary are explicit. Returning a guarded…
AI labs are failing to keep their own systems in check
No AI company fully applies basic control measures to its own internal AI systems. The article AI labs are failing to keep their own systems in check…
Expected free energy as an information constraint on the Bethe Lagrangian
arXiv:2608.17167v1 Announce Type: cross Abstract: Active inference selects actions by minimising an expected free energy functional over predicted…
From Abductive Explanations to Global Logical Rules for Node Classification in SGCs
arXiv:2608.17103v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) have achieved remarkable performance in node classification tasks,…