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According to a New York Times investigation, DraftKings developed a machine-learning system that scores customers based on personal data to predict who is most likely to lose money in response to promotional offers. Former employees say the tool was used to funnel bonuses, free bets and profit boosts toward users flagged as high-risk gamblers, rather than to protect them.
A blog post reflects on a 2014 hiring effort to find QA staff in Pune, India willing to learn Clojure to test a large SaaS backend, describing it as an example of avoiding the classic 'Secretary Problem' from Optimal Stopping Theory by not permanently rejecting candidates once passed over. The author, writing with colleague Mayank's case as the anecdote, contrasts this non-zero-sum hiring approach with what they describe as a currently brutal, post-ZIRP software hiring market in 2026.
An OpenAI leader shared an internal note describing a personal six-step method for tackling product problems: understand available information, gather missing information, define the problem, define a simple approach, set a goal, and act with urgency. The author stresses that new information often forces revisiting earlier steps, calling this iterative churn a healthy and necessary part of solving complex problems.
NYU professor Tristan Buckmaster, who publicly alleged OpenAI's Codex used his unpublished work to solve the Navier-Stokes problem before he could, says he continues relying on Codex and Anthropic's Claude for his research despite the dispute. OpenAI investigated the claim and stated Buckmaster's prompts could not have influenced its system or training, while Buckmaster maintains the episode shows AI's growing reach into frontier mathematics.
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.
A leadership analysis describes how a weekly meeting created to resolve one unusual cross-functional issue kept growing as new exceptions were added to its agenda, even after the original problem was solved. When the team tried canceling it, the standard process had no way to handle non-standard issues, so the work simply returned to the meeting.
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 on 8 September that one of its AI models had solved a major open problem in fluid dynamics, the Navier-Stokes puzzle. The claim provoked backlash after researchers, including Tristan Buckmaster and Levent Alpöge, said they had already been working on the same problem using AI tools from OpenAI and Anthropic and were tipped off before the announcement. Twenty-five Fields Medal winners have since signed an open letter warning that AI involvement in mathematics raises serious plagiarism and credit-attribution concerns.
An Entrepreneur contributor describes a COO who resolved a six-week product launch delay caused by slow procurement approval on packaging spec changes by setting a spending cap for same-day approval of urgent vendor fees. The next launch hit its date, proving the fix worked for that specific request, but the piece argues this success can mask a deeper, recurring tension between speed and financial oversight that will resurface elsewhere.
Researchers at the University of Tokyo's Institute of Industrial Science fabricated nanoscale optical structures based on the Smith hat monotile, the shape that solved the Einstein aperiodic tiling problem in 2023. When laser light hit these silicon nitride structures, it produced pinwheel-shaped diffraction patterns showing chirality not seen in typical quasicrystals.
Nicolae Vartolomei has compiled and periodically updated a list of influential academic papers in distributed systems, originally published in 2017 and refreshed in 2022. The list aims to highlight timeless works that have shaped how researchers and engineers think about the field's core challenges.
A newly published online atlas organizes 3,915 known periodic solutions to the three-body problem into a navigable map, grouping similar orbits into families that appear as clustered 'islands.' Each orbit has its own dedicated page where users can watch it animate through one full period, nudge it slightly off its original path, and compare or rank it against other orbits.