A Pulitzer Prize-winning journalist has released a new work examining how governments and tech-driven bureaucracies are increasingly automating public administration, raising questions about accountability. The book, titled around the concept of an 'artificial state,' traces how digital systems have reshaped the mechanics of governance over recent decades.
David Baker, who shared the 2024 Nobel Prize in Chemistry for computational protein design, is leading a new initiative called AI BioDesign, backed by the Allen Institute, University of Washington and Fred Hutchinson Cancer Center. The project pairs AI models with large-scale lab experiments to design molecules and biological functions that don't exist in nature but are chemically feasible, aiming to build public databases and tools for future medicines and technologies.
The Information reports that OpenAI is working toward claiming a solution to the Hodge Conjecture, one of mathematics' famous unsolved problems, but is largely focused on how to announce such a result without further angering the math community. This comes amid ongoing tension between OpenAI and mathematicians over prior claims about AI's mathematical capabilities.
OpenAI announced that its most advanced AI model produced a mathematical proof that the Navier–Stokes equations, which describe fluid flow, can generate a singularity — a point of physically impossible infinite speed. Mathematician George Karniadakis calculated that for air this breakdown occurs at a vortex width of about 70 nanometres, roughly the distance a molecule travels before colliding with another.
An AI system built by OpenAI reportedly produced a proof resolving a case of the Navier-Stokes blowup problem, one of the seven Millennium Prize problems, by constructing a counterexample rather than new theoretical machinery. The work built partly on prior human research, including contributions from mathematicians Tristan Buckmaster and Levent Alpoge, and marks the first Millennium problem tackled by an AI attempting all seven in parallel.
OpenAI announced it had solved part of the Navier–Stokes Millennium Prize Problem using an AI system, but the announcement via press release drew criticism for lacking transparency about verification and prior human contributions. Hours earlier, mathematicians Tristan Buckmaster and Levent Alpöge said they had reached a partial solution using AI tools from both OpenAI and Anthropic, raising questions about who deserves credit for the breakthrough.
Jean-Pierre Serre, the French mathematician who won both the Fields Medal and the inaugural Abel Prize, has reached his 100th birthday. His decades-long body of work spans algebraic geometry, topology and number theory, and includes foundational texts such as Trees and A Course of Arithmetic.
OpenAI announced on September 8, 2026 that an AI system had produced a solution to the Navier–Stokes existence and smoothness problem, one of the seven unsolved Millennium Prize Problems. The claim triggered disputes over how much credit belongs to the machine versus human mathematicians involved, with some drawing parallels to Deep Blue's chess victory over Kasparov. Philosophers Silvia De Toffoli and Eamon Duede argue mathematicians should resist treating their field as a 'game' that AI can simply win or end.
OpenAI says it has solved a Millennium Prize-level math problem, extending a string of high-profile claims in mathematics. Researchers including Tristan Buckmaster and Andreas Thom say the company has been vague about whether their own prior work, done through OpenAI's Codex tool, fed into its results. OpenAI denies this, insisting Buckmaster's recent prompts could not have influenced the system's training.
The Clay Mathematics Institute issued a statement noting growing momentum toward solving the Navier-Stokes Millennium Prize Problem, which concerns whether smooth, well-defined solutions always exist for the equations governing 3D fluid motion. CMI pointed to recent breakthroughs in related research, some already honored with its Clay Research Award, as evidence that a resolution could be near.
OpenAI announced that an unreleased AI model, running roughly 10,000 agents, solved a version of the decades-old Navier-Stokes problem in fluid dynamics within 88 hours, calling it a milestone. The timing drew scrutiny because it came just a day after NYU professor Tristan Buckmaster and an Anthropic researcher published related findings, prompting accusations that OpenAI rushed to claim credit after learning of their progress.
OpenAI announced its AI resolved a long-standing open question about the Navier-Stokes equations, one of the Clay Mathematics Institute's Millennium Prize Problems, claiming it did so within days using roughly 10,000 agents. Mathematician Tristan Buckmaster disputes the credit, saying he and Anthropic researcher Levent Alpöge had already developed the key approach before OpenAI learned of it and rushed to finish the proof over a weekend.