AI & ML Research 24 Hours

Last updated: July 20, 2026, 2:30 PM ET

AI Model Deployment and Safety

OpenAI shared lessons from deploying long-running AI models, detailing new safety risks and observed failures. The company discussed improved safeguards implemented through iterative deployment, addressing challenges in an era of long-horizon models. Meanwhile, researchers are more prevalent than human ones, suggesting AI may be less fair when screening résumés.

Engineering with LLMs and Data Tools

Engineers can for over 24 hours to enhance productivity, applying long-running coding agents to development workflows. In enterprise document intelligence was demonstrated with Azure for flat tables and a vision LLM for figures, serving as a last line of defense before human escalation. Power Query and DAX users can to uncategorized rows, a crucial step for reporting, grouping, and aggregation.