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As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new research on training models to be broadly and persistently beneficial.
Rare disease diagnosis is challenging, as sequencing can surface millions of variants, and medical knowledge changes constantly. o3 Deep Research helped connect clinical features, inheritance patterns, variant evidence, and scientific literature into hypotheses for specialists https://t.co/C2JG0Y7zBE
Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years. https://t.co/HVVDlEkuYR
More alerts ≠ better security 👀 Through collaborative research, we found how LLM-based contextual verification can improve secret scanning alert quality and reduce false positives by 75.76%. Here's what we learned 👇 https://t.co/5nuKCn7w4l
As increasingly autonomous AI agents are deployed in software development, cybersecurity, scientific research and business operations, traditional techniques may not be enough to manage the risks they pose.
Ahead of the NEET UG 2026 re-examination on June 21, the NTA has put in place an unprecedented security network featuring 1.38 lakh CCTV cameras, over 51,000 signal jammers, AI-powered monitoring and enhanced biometric verification across 5,440 centres to ens...