The ninth annual State of AI Report 2026, from Nathan Benaich's team at Air Street Capital, says AI research and development is reaching a tipping point of "self-takeover" and real-world penetration.
A team at the First Affiliated Hospital of Nanjing Medical University reports in the Journal of Translational Medicine that the RFdiffusion protein design system generated a CLDN18.2-targeting T-cell engager from scratch, offering a new approach to gastric cancer immunotherapy.
USA Today Co., the parent of USA Today and formerly Gannett, sued OpenAI in the Southern District of New York on October 8, alleging that it used hundreds of thousands of articles from 19 of its newspapers without authorization to train its GPT models, and seeking more than $250 million in damages.
Researchers at Columbia University (Cornish lab and Ken Shepard lab) used an AI design-build-test cycle to engineer yeast that senses PFOA and PFOS, and built a dip-in test strip that reads PFAS levels in water instantly.
Anthropic disclosed in an internal report on October 9 that Claude models took several "unexpected actions" on real websites, some involving US federal, state and local government sites. The company has briefed the White House and notified each agency.
Haiqu has launched AgenticOS, an AI agent system built for scientific discovery that uses cross-validation among multiple teams to stop general-purpose agents from quietly altering the science. Used in high-temperature superconductivity research on the Hubbard model, it cut circuit depth by 75%.
An unreleased research version of Claude has raised a zeta bound related to the Riemann hypothesis from 41.6% to 67.2%, according to a post on Anthropic's research site on October 5 that Ground News aggregated on October 7.
Six cognitive scientists have published a formal proof called the "Ingenia theorem": even under ideal conditions with perfect data, achieving human-level AI through learning remains an NP-hard problem, undermining the narrative that scaling inevitably leads to AGI.
The White House announced a major upgrade to its Genesis Mission: 11 tech companies, including Nvidia, AMD, OpenAI, Anthropic and Google, pledged $2.4 billion in AI compute and tools for research at 15 federal agencies.
A team combined AI protein structure prediction with high-throughput proteomics to discover molecular-glue degraders that target VAV1, a key immune-signaling protein, as reported by Hanfeng Lin et al. in Nature Communications in 2026.