arXiv:2609.00050v1 Announce Type: cross Abstract: Agentic AI is enabling cloud-based workflows in which autonomous agents reason over operational state,…
Gemini 3.8 Flash is Google’s third budget model in six weeks while frontier models remain MIA
Google’s Gemini 3.8 Flash, the third Flash model in six weeks, matches Claude Opus 5 on some agentic coding benchmarks at lower cost. But its “working…
Zero-Shot Respiratory Sound Classification through LLM-Augmented Audio-Text Alignment
arXiv:2609.00055v1 Announce Type: cross Abstract: Self-supervised respiratory encoders lack semantic grounding in clinical domain needed for zero-shot…
Lutnick Declares Administration’s Trust in Anthropic at G20 Meeting
Commerce Secretary Howard Lutnick said the Trump administration now trusts Anthropic, telling Axios in an interview on September 1, 2026, that the AI…
From Detection to Refusal: Safer LLMs via Circuit-Guided Weight Scaling
arXiv:2609.00051v1 Announce Type: cross Abstract: Despite extensive alignment efforts, Large Language Models (LLMs) remain vulnerable to generating unsafe…
AI News Brief Hourly Summary 2026-09-02 19h : 19 posts
19 posts published in the last hour 16:33Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training 16:33Motional and MIT AI explains self-driving car decisions 16:33RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery 16:33Wonderful more than…
Task-Specific Prompt with Global Context for Multi-Task Graph Pre-Training
arXiv:2609.00047v1 Announce Type: cross Abstract: Graph prompt learning is an effective paradigm to adapt pre-trained graph models to downstream tasks in…
Motional and MIT AI explains self-driving car decisions
Motional and MIT researchers have built a system that lets self-driving cars explain their decisions in real-time, tackling the black-box problem in…
RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery
arXiv:2609.00046v1 Announce Type: cross Abstract: Rapid and reliable disaster mapping of impacted areas, damaged infrastructure, and affected populations…
Wonderful more than doubles its valuation to $5B in under 6 months
Wonderful’s $550M Series C was led by Insight Partners, with Salesforce, Index Ventures, IVP, Vine Ventures, 9Yards and Bessemer participating.
GUI-CC: Benchmarking Contextual Consistency of GUI World Models as Agent Environments
arXiv:2609.00048v1 Announce Type: cross Abstract: GUI world models are increasingly evaluated as one-step next-screen predictors, yet their intended use…
Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
This post has no text preview — click the link below to read the original article. This article has been indexed from Google DeepMind News Read the original article: Introducing Gemini 3.8 Flash and 3.8 Flash Cyber
Behaviorally Grounded User Profiles from the Wild for Personalized Alignment and Multi-Perspective Reasoning
arXiv:2609.00014v1 Announce Type: cross Abstract: Persona-driven techniques increasingly adapt large language models (LLMs) to diverse contexts. However,…
ChatGPT Ads passes $1B run rate in 200 days
ChatGPT Ads has hit $1 billion in annualised revenue run rate in under 200 days, and OpenAI is expanding self-service ads to new regions. Tens of…
trajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories
arXiv:2609.00038v1 Announce Type: cross Abstract: Outcome-only evaluation is the production default for LLM agents: show a judge the request and the final…
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
arXiv:2609.01526v1 Announce Type: new Abstract: Scientific agents must learn not only how to reason, but also what to believe. However, existing LLM…
Proactive cyber defense for governments and enterprises
Introducing Fairwind Program
When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation
arXiv:2609.01519v1 Announce Type: new Abstract: Interactive simulations increasingly evaluate policies in markets populated by language-model agents.…