arXiv:2609.11752v2 Announce Type: replace Abstract: For industrial content risk control, the real deployment constraint is not average accuracy but how…
Salesforce Agrees to Buy Cresta for Voice-Led Customer Service AI
Salesforce announced on November 2, 2026 that it had signed a definitive agreement to acquire Cresta, whose platform combines voice agents, assistance for…
LazyAgent: Demand-Driven Materialization and Physical Optimization of Agentic Programs
arXiv:2609.23058v2 Announce Type: replace Abstract: Agent runtimes that plan before acting run every step as soon as it is ready. Neither these runtimes…
How Xatoms is using AI to solve the global water crisis
Every September, Climate Week and Global Citizen Week in New York bring together policymakers, investors and innovators focused on the world’s most…
A Unified Per-Token Gating Family for On-Policy Distillation: FKL/RKL Mixing with Multi-Channel and Bias Coefficients
arXiv:2609.11768v2 Announce Type: replace Abstract: Per-token gating of forward/reverse KL losses has become a standard technique for on-policy knowledge…
AI News Brief Hourly Summary 2026-11-03 03h : 15 posts
15 posts published in the last hour 01:33Physics-Audited Agentic Discovery in Scientific Machine Learning 01:33From Association to Causation: Improving Retrieval Precision of Retrieval-Augmented Generation via Causal Relations and an Attention Mechanism 01:33FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors…
Physics-Audited Agentic Discovery in Scientific Machine Learning
arXiv:2607.07379v2 Announce Type: replace Abstract: Agentic discovery can yield mechanics surrogates with low validation error that nonetheless violate…
From Association to Causation: Improving Retrieval Precision of Retrieval-Augmented Generation via Causal Relations and an Attention Mechanism
arXiv:2608.21702v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) grounds LLM generation on retrieved documents, but the standard…
FedPA-LoRA: Product-Aligned Framework for Mitigating Aggregation and Initialization Errors in Heterogeneous Federated LoRA
arXiv:2608.15381v2 Announce Type: replace Abstract: Low-Rank Adaptation (LoRA) enables efficient federated fine-tuning of large language models, but its…
Y Combinator’s Garry Tan uses AI agents so much, he spends up to $200K a year on tokens
Y Combinator Garry Tan has jokingly admitted that he’s suffered from “cyber psychosis” and barely sleeps sometimes because he’s so excited to be working…
GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
arXiv:2605.23238v2 Announce Type: replace Abstract: Fixed game suites for evaluating strategic reasoning in large language models (LLMs) saturate and are…
Brave Faces Two Publisher Lawsuits Over AI Use of News Content
The New York Times Company filed a federal complaint against Brave Software on November 2, 2026, alleging unauthorized copying and distribution of its…
Neuro-Symbolic Meta-Policies for Temporal Knowledge-Graph Memory under Partial Observability
arXiv:2607.18368v5 Announce Type: replace Abstract: Partially observable reinforcement learning requires deciding what to retain, retrieve, and forget…
ThinkSafe: Self-Generated Safety Alignment for Reasoning Models
arXiv:2601.23143v5 Announce Type: replace Abstract: Large reasoning models achieve strong performance through reinforcement learning but can suffer safety…
Generative Recursive Reasoning
arXiv:2605.19376v5 Announce Type: replace Abstract: How should future neural reasoning systems implement extended computation? Recursive Reasoning Models…
Teaching Large Language Models When Not to Know: Learning Temporal Critique for Ex-Ante Reasoning
arXiv:2605.14636v2 Announce Type: replace Abstract: Large language models (LLMs) often fail to reason under temporal cutoffs: when prompted to answer from…
The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth Engineering
Letter has released the beta of Letterpress-1, a coding agent, harness and IDE for growth engineering. It reads a git-based site and its market, then…
Controllable User Simulation
arXiv:2605.11519v2 Announce Type: replace Abstract: Using offline datasets to evaluate conversational agents often fails to cover rare scenarios or to…