OpenAI's secret model just leaked.
It's codenamed Doug — and based on what's been reported, it's the biggest AI model OpenAI has ever built.
It's not even alone: a second model is already finished, and it could ship this month.
Behind both of them is a wild backstory — the most famous AI lab on Earth was stuck for two whole years.
Stick with me, because how they got unstuck changes what you should build next.
On August 7, SemiAnalysis — the chips-and-labs research firm big investors pay for — published a newsletter quoting their own private client note from July 9.
"OpenAI has overcome their pre-training issues, and a much larger model codenamed Doug is actively in the works."
— SemiAnalysis, private client note (July 9, 2026), published in their newsletter Aug 7, 2026
Four dates, one story: a paid research note in July, published in August — then the CEO and the leakers filled in the rest within 48 hours.
On August 9, the account ChrisGPT posted the codename in public — and the post pulled 1.5M+ views in a day.
SemiAnalysis put its name on "Doug exists and pre-training is fixed" — the "biggest ever" and "primitive" lines come from an anonymous leaker, so treat them as claims, not facts.
Even if you bin everything the leaker said, "OpenAI has overcome their pre-training issues" is one of the most important sentences of the year — and there's a second model, already finished, that could ship this month. Keep scrolling.
Pre-training builds the brain; post-training polishes it. Per SemiAnalysis, every OpenAI release since May 2024 has been the same brain, polished harder.
o1 (Sep 2024), o3 (Apr 2025), GPT-5 (Aug 2025), 5.5, 5.6 — a two-year polish chain riding one foundation slab.
Pre-training kept breaking — and the industry concluded scaling had hit a ceiling.
Two years where the most famous lab in the world couldn't complete a shippable full-scale pre-train. Remember the verdict at the bottom — it turns out to be wrong.
Gemini 3 landed on November 18, 2025 — and by December 1, multiple outlets reported Sam Altman had declared "Code Red" inside OpenAI, pulling teams and moving resources.
One day after Code Red, The Information reported a new pre-trained model codenamed Garlic — with Chief Research Officer Mark Chen reportedly telling his team they'd solved the key problems breaking pre-training.
By January, SemiAnalysis wrote it plainly: pre-training issues resolved. By July 9: Doug actively in the works — the foundation scaling again for the first time in 2+ years.
Models are about to leapfrog fast — Doug reportedly by November, Fable 5.1 reportedly this month. December's top model won't be March's. The Agent OS inside the AI Profit Boardroom is built for exactly that: one dashboard, all your agents, model-swapping built in — the day Doug goes live, you swap it into your existing workflows in minutes.
Astra is the first of the two models, reportedly done and sitting in safety review — and this part is confirmed by Sam Altman himself, not a leaker.
Sam says Astra is powerful, that he wants it generally available, and that its cyber capabilities mean they need a little longer to release it safely. Leakers expect it this month — many believe Astra is GPT-6, though that name is unconfirmed.
Greg Brockman marked that GPT-4 finished training exactly four years earlier — August 8. Four years: an estimated ~1.8T parameters then, a reported ~10T now.
~1.8T is the widely-cited estimate for GPT-4; ~10T for Astra is reported and unconfirmed. The chips say so on the chart, on purpose.
Doug is the end-of-year model — Chris expects it no later than November, after government review and cybersecurity testing.
Pankaj Kumar's roundup adds the hardware detail: Doug is most likely training on NVIDIA's next-gen Vera Rubin chips — hardware that isn't widely rolled out and that most companies can't buy yet. Reported, not confirmed.
July reports say the next-gen foundation could reach a 1.5 million token context window — a full shelf of books held in mind at the same time.
Before you get excited, here are the three best reasons to doubt everything above.
OpenAI has confirmed nothing about Doug — no date, no price, no announcement, and nobody outside the lab has run a single prompt. The rumor pipeline is now doing pre-training too: 1.5M views for a model that doesn't officially exist.
GPT-4.5 landed soft, and Gemini 3.5 reportedly matched a months-earlier Anthropic model. Bigger has publicly failed to mean better — at both companies.
By November, Doug won't be competing with today's Fable 5 — Anthropic ships newer models by then, and Fable 5.1 is reportedly landing this month at the same price, timed to counter Astra. The target moves.
Wrong: "Nothing about Doug is confirmed, so I can ignore this whole story."
Right: The specific claims are unverified — but the direction is backed by three credible threads: SemiAnalysis in writing, The Information's Garlic reporting, and the CEO's own tweet. You plan around directions, not press releases.
Wrong: "Big pre-trains keep disappointing, so Doug will flop too."
Right: Maybe it will — that's exactly why you own the workflows and keep the model swappable. Winners slot in, duds get skipped, and you profit either way.
Wrong: "I'll wait until Doug actually ships before I build anything."
Right: If it lands in November, that's exactly enough time to build systems on today's models — so you're upgrading on launch day while everyone else is starting from zero.
Members post their wins every day — agency owners, ecom founders, course creators, solo operators across 38 countries. Real businesses, real numbers, in their own words.
Read the 158-page wins doc →On August 5, Jeff Dean left Google after 27 years to start a new lab, the same day Demis Hassabis stepped down as DeepMind CEO to become chairman — and Alphabet fell more than 4%.
SemiAnalysis called Dean the "undisputed GOAT of Google engineering". The lab that invented the Transformer is bleeding its best — leaving OpenAI and Anthropic to slug it out.
For two years one of OpenAI's two engines was off; if the reports hold, both now run at once — and the pace of releases speeds up for everyone.
If Chris is right, Doug lands by November — exactly enough time to build real AI systems on today's models, so you're upgrading when it ships instead of starting.
That's the biggest myth about it. The everyday 90% runs on free local models on your own machine, free APIs slot in for more, and for frontier work it drives the CLIs you already pay for — your Claude subscription already includes the Claude Code CLI, and the Agent OS plugs straight into it, so you're never paying twice.
And inside the AI Profit Boardroom there are full token-optimisation tutorials, so usage drops to the bone and stays there.
The AI Profit Boardroom is where you build the systems that make every model launch a free upgrade. When Astra ships, we walk through it live the same week. When Doug lands, it slots into workflows you already own.
The most famous lab in the world was stuck for two years.
The foundation wouldn't scale, and the industry decided the ceiling was real.
Then a rival punched hard enough to trigger Code Red.
They hunted the real problems, found bugs, and fixed them.
Now a respected research firm says their biggest model ever is actively in the works.
Doug by November — if the reports hold.