arXiv:2609.18688v1 Announce Type: cross Abstract: AI models for multimodal medical imaging must balance modality-specific specialization with cross-modal…
Is the AI safety debate about safety or control?
Not everyone agrees with Amodei’s call for globally coordinated action for AI safety.
PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?
arXiv:2609.18605v1 Announce Type: cross Abstract: As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into…
How to Build Effective Evals for AI Agents
Learn how to build effective evals for AI agents, from designing clear tasks and choosing the right graders to building reliable eval harnesses and…
Making global data easier to explore
UN System Data Commons Data webpage
Anthropic Reports Claude Optimized 30+ Open-Source Biomolecular Models
Anthropic published a research post on September 17, 2026, reporting that Claude optimized more than 30 open-source biomolecular models in just under four…
On-the-Fly Homographies Calibration for Multi-Camera Tracking
arXiv:2609.18582v1 Announce Type: cross Abstract: Precise multi-camera tracking traditionally relies on rigorous 3D site calibration, yet this requirement…
Microsoft exec called AI scraping ‘the largest theft of labor in human history,’ new unredacted filings reveal
Newly unsealed court filings show Microsoft privately called OpenAI’s data practices “theft” while both companies scraped paywalled Times content, built…
Interpretable Patch-Based Deep Learning for Wildfire Spread Prediction from Ensemble Simulations
arXiv:2609.18555v1 Announce Type: cross Abstract: Wildfire spread is traditionally predicted using physics-based simulators, which are physically…
Building the materials foundation for AI
The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as…
Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces
arXiv:2609.18587v1 Announce Type: cross Abstract: Test-time reinforcement learning (TTRL) enables models to improve their reasoning without relying on…
Daniel Liechtenstein, CEO and Co-Founder of Hypercore – Interview Series
Daniel Liechtenstein, CEO and Co-Founder of Hypercore, is a fintech entrepreneur and financial strategist with a background spanning lending technology,…
Online Robust Reinforcement Learning Through Monte-Carlo Planning
arXiv:2609.18599v1 Announce Type: cross Abstract: Monte Carlo Tree Search (MCTS) is a powerful framework for solving complex decision-making problems, yet…
GSA Extends Anthropic’s Claude OneGov Offer for Federal Agencies
The U.S. General Services Administration has extended its OneGov offer of Anthropic’s Claude AI to the federal government, with the agency’s current…
Hypothesis-Driven Autonomous Materials Synthesis with Multimodal LLM Agents
arXiv:2609.18598v1 Announce Type: cross Abstract: Self-driving laboratories can explore synthesis conditions autonomously, but their decision-making layer…
AI News Brief Hourly Summary 2026-09-17 22h : 17 posts
17 posts published in the last hour 19:32Multitask Reinforcement Learning for Assisting Choice Model Specification 19:32ActionPiece: Rethinking Action Tokenization for Autoregressive Vision-Language-Action Models 19:32MiST: Mid-Training LLMs for Cybersecurity 19:32OpenAI reportedly closes in on solving the Hodge conjecture, its second Millennium…
Multitask Reinforcement Learning for Assisting Choice Model Specification
arXiv:2609.18441v1 Announce Type: cross Abstract: Discrete choice model specification is a time-consuming task in which modellers often specify and…
ActionPiece: Rethinking Action Tokenization for Autoregressive Vision-Language-Action Models
arXiv:2609.18487v1 Announce Type: cross Abstract: Action tokenizers play a central role in autoregressive vision-language-action (VLA) models, determining…