Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring
External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining the company's internal monitoring system for AI agents and found significant gaps, with up to 25 percent of agent traffic from models at the GPT-5.5 class and above going unmonitored.…
AI Summary & Key Takeaways
- External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining the company's internal monitoring system for AI agents and found significant gaps, with up to 25 percent of agent traffic from models at the GPT-5.5 class and above going unmonitored.…
Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring
Related stories
Multi-step Reinforcement Learning on Amazon SageMaker AI
AWS Machine Learning describes multi-step reinforcement learning on SageMaker AI.
Chinese AI model Kimi K3.1 Pro is closing in on Anthropic's Claude Opus 5.5
Moonshot AI's Kimi K3.1 Pro scores 55 points on the Artificial Analysis Intelligence Index, an 11-point jump over its predecessor that puts it in fourth place. Only three Anthropic and Meta models rank higher. If Moonshot releases the weights as planned, the gap between open and…
Generative Bionics to launch Physical AI Data Factory in Italy
The first Data Factory hub is set to become one of Europe’s largest physical AI training facilities for humanoid robots. | Source: Generative Bionics Generative Bionics this week announced plans to build a proprietary, multi-site “Physical AI Data Factory” in Italy. The company…
From notes to AI training with ChatGPT Work | Realpage.
Hi, my name is Austin Bram and I'm the director of AI enablement at real page. A big part of my role is helping our team members understand how to use AI in practical ways that improve their day-to-day work. Which means I'm constantly creating personalized training materials for…