When possible, we want to give people a choice—and be clear about what watermarking can and can’t do.
A text watermark helps answer one question: “Was this likely generated by an OpenAI model?”
It works by embedding an invisible statistical signal in text as it’s generated. A detector can look for this signal, and it doesn’t add visible marks or special characters. It doesn’t say who originally wrote the text or who owns it. It doesn’t identify a person, organization, account, conversation, or prompt.
In our testing, watermarking hasn’t affected how capable or fast our models are, or how their responses read.
Announcing Gemini 4 Argon, our new frontier model.
Argon is built to sustain deep reasoning across complex, long-horizon workflows and delivers frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense.
We’re also expanding the model’s output token limit to an industry-leading 1M tokens.
Argon is currently rolling out to a set of trusted cyber defenders in the Fairwind Program, with broader availability as soon as possible.
Astra made me a sonar app that emits undetectable audio to scroll up/down on your computer.
It uses the doppler effect to determine where your hand placement is. You can even double tap in the air to change scroll directions!
We want to celebrate with people using GPT-6. We did this for GPT-5.5 and it was really fun.
We’re getting together in SF on September 16 to talk about the model, what we should build next, and mostly just to hang out.
Apply by Sep 10:
gpt6-launch-event.openai.chatgpt.site
As a kid, I always wished Pokémon battles in the games could play out like they do in the anime.
So I built a real-time Pokémon battle experience with @fal H3 Max.
choose a move, the game calculates the outcome, and AI generates the animation on the fly. Paralysis, fainting, and Pokémon is hurt are reflected on screen.
Project:github.com/xflare-bot/pok…
Built a Bakusou Kyoudai Let’s & Go!! game with GPT-6 Astra—one of my childhood favorites animate.
Astra Pro’s first browser build blew past my expectations, so I pulled it locally and kept polishing with Astra High.
stack: Three.js
playable: storm-race.vercel.app
post: bubucn.com/en/ai-model-ev…
OK GPT-6 Astra is insane at making games.
I remade Paperboy - everything modelled in Blender, rendered in browser.
took ages to dial in the look and feel, models and rendering but my god its awesome.
who wants a full walkthrough/breakdown?
GPT-6 Astra just got Age of Empires IV running at 70-150 fps on Apple Silicon.
CrossOver was doing ~8 fps and freezing constantly.
now: max settings, big fights, online, stable.
I genuinely did not think this game was going to run like this on a Mac
NVIDIA has lost it..
Chinese researchers open-sourced a model that writes CUDA better than humans experts.
And it completely rewrites the economics of AI hardware.
Writing low-level CUDA kernels to squeeze every ounce of performance out of a GPU has historically required elite, highly specialized hardware engineers. Standard AI models have always bombed at it, falling far short of traditional compiler systems.
Until now.
A joint team from Tsinghua University and ByteDance published "CUDA Agent”, a massive, large-scale agentic reinforcement learning system built to master GPU architecture.
Instead of relying on static prompts or simple multi-turn bug fixing, they built a closed-loop environment with automated hardware verification, profiling, and synthetic data pipelines.
The model learned how to write parallel, high-performance GPU code through trial, error, and reinforcement learning at scale.
The benchmarks are staggering:
It didn't compete with standard tools. It delivered 100%, 100%, and 92% faster execution rates over PyTorch's compiler on KernelBench Level-1, Level-2, and Level-3 splits.
On the brutal Level-3 benchmarks, it outperformed proprietary giants like Claude Opus 4.5 and Gemini 3 Pro by about 40%.
NVIDIA's moat has always rested on two pillars: elite hardware, and the proprietary software lock-in of CUDA.
If an open agentic system can automatically discover, write, and optimize production-grade CUDA kernels better than human specialists, the software moat starts evaporating.
The hardware matters less when the software can rewrite the metal itself.
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