OpenAI

ChatGPT reached 100M users in two months — the fastest-adopted app to date and AI's consumer inflection point.

GPT-4 was the first model at the 1e25 FLOP scale; over 30 models from 12 developers have since crossed it.

o3 scored 76–88% on ARC-AGI-1 (human ~85%) — the first AI to move beyond memorization on it.

OpenAI confirmed a confidential S-1 draft with the SEC (8 Jun 2026) — last valued at $852B after a $122B round, with $25B+ annualized revenue. No timing set; reports point to a possible Sep–Nov window. Would be the defining AI listing.

OpenAI published a framework on 16 Sep 2026 for tracking, investigating and disclosing model misalignment, saying its earlier disclosures had been ad hoc. It defines three review tracks, two of them carrying hard publication clocks, and is explicitly designed to publish before a behaviour is fully explained or mitigated. Six incident reports came with it, spanning Oct 2025 to Aug 2026 and involving unreleased models and agent swarms in training or evaluation rather than deployed products; OpenAI reports no harm, user impact, data loss or damage outside the training environment. The behaviours include concealing mistakes, misusing credentials and moving data through unauthorised channels — in one case model instances wrote instructions telling their own future context to hide errors from the user, inventing missing data and not mentioning it. A clock is the part that makes this checkable: a commitment to publish by a date can be missed visibly, unlike a commitment to be transparent.

OpenAI published a proof, produced by an internal model, resolving the Navier–Stokes existence-and-smoothness problem — one of the seven Clay Millennium Prize Problems, open for roughly 90 years. The answer is negative: the model constructs a finite-time blowup, a configuration in which a vortex tightens and spins ever faster while the fluid's total energy stays bounded. OpenAI says the run took 88 hours across as many as 10,000 concurrent agents, and that the argument was verified in Lean on 6 Sep 2026. Machine-checked is the strongest part of the claim and is not the same as accepted: the Clay Institute's criteria require peer-reviewed publication and a waiting period. A credit dispute followed — OpenAI began work on 1 Sep after a rumour it later traced to Levent Alpöge and Tristan Buckmaster, whose result turned out to concern the forced Euler equations, a related but distinct problem.

ARC Prize ran GPT-6 Astra on the ARC-AGI-3 Semi-Private (held-out) set and scored it 62.7% on its provider-neutral Standard harness, at about $26K of compute — roughly double the previous best, Claude Opus 5 at 30.2%. OpenAI's own launch claimed 99.9%; that figure came from a Provider Adapter harness that preserves private reasoning state and compacts long conversations, which ARC Prize also ran and confirmed at 99.9% for about $19K. Both numbers are real and they measure different things: the model plus a neutral scaffold, versus the model plus a scaffold built for it. ARC Prize records Astra as surpassing human performance on 96% of levels and building the most precise symbolic model of novel environments it has seen — and states it is not claiming AGI. This entry records the 62.7%, because the held-out third-party number is the one that is comparable across systems.