Greg Brockman

GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone. Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.

We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. t.co/7N6TPlft1P

How we think about securing frontier RL training runs: openai.com/index/towards-…

How we think about securing frontier RL training runs: openai.com/index/towards-…

We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.

We heard you loud and clear. ChatGPT Voice can now: - Use plugins like your email, calendar, and Slack. - Be powered by GPT-6 Astra, Sol, and Luna. - Be used in ChatGPT Work on web and mobile, so you can create docs, decks, sites, and spreadsheets or tackle complex tasks in the browser, just by talking. Rolling out globally today in the latest version of the app.

Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe. GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale. We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.

Starting today, you can connect multiple accounts with most plugins in ChatGPT! 🎉 Bring context from your work and personal accounts into the same conversation. Connect your accounts in the plugin directory: t.co/MhhASXOJIo Devs: this works automatically, with no changes needed. But, to make the experience for users of your plugin even better, add a profile tool to your MCP server so ChatGPT can label the accounts: t.co/JYB1Qol8Bt

Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms.

ChatGPT Ads for @Shopify is live. We are @OpenAI's first commerce partner. OpenAI pulls straight from Shopify Catalog, so merchants' products are already there. Merchants set their own campaigns, their own budget. Free to install, tracked right from the Shopify admin. Consumers are asking ChatGPT what to buy. Shopify merchants are able to decide exactly how they show up. t.co/kRrnrpyarT

Today we rolled out Astra to every engineer at Databricks (N=~3500). Some notes that may be helpful to others: 1. Astra unambiguously out performs our previous highest-end models (Opus 5, Sol 5.6) on highly complex tasks, especially those related to high level system design or long range horizontal tasks. 2. Engineers given Astra increased overall coding spend by around 60% compared to baseline. 3. It is not clear Astra meaningfully improves on medium/low complexity coding tasks compared to earlier models. We suspect those tasks are mostly saturated (i.e. perfectly executed) by existing models. 4. We learned above by piloting Astra with around 200 users to gain signal on both quality and cost. We use Unity Gateway to do cohort-based experiments for all new models. 5. We give engineers a sub-budget specific to Astra to encourage them to use Astra selectively on complex tasks while preferring lower cost models for everyday tasks. Our engineers are able to mix-and-match tools and models within their overall budget envelope (we also allow for increased budgets through various mechanisms). These budgets are defined in Unity Gateway and regularly revisited. Note: We do not have robust comparisons of Astra-vs-Fable because we have net yet rolled out Fable widely due to data retention policies.

Today we rolled out Astra to every engineer at Databricks (N=~3500). Some notes that may be helpful to others: 1. Astra unambiguously out performs our previous highest-end models (Opus 5, Sol 5.6) on highly complex tasks, especially those related to high level system design or long range horizontal tasks. 2. Engineers given Astra increased overall coding spend by around 60% compared to baseline. 3. It is not clear Astra meaningfully improves on medium/low complexity coding tasks compared to earlier models. We suspect those tasks are mostly saturated (i.e. perfectly executed) by existing models. 4. We learned above by piloting Astra with around 200 users to gain signal on both quality and cost. We use Unity Gateway to do cohort-based experiments for all new models. 5. We give engineers a sub-budget specific to Astra to encourage them to use Astra selectively on complex tasks while preferring lower cost models for everyday tasks. Our engineers are able to mix-and-match tools and models within their overall budget envelope (we also allow for increased budgets through various mechanisms). These budgets are defined in Unity Gateway and regularly revisited. Note: We do not have robust comparisons of Astra-vs-Fable because we have net yet rolled out Fable widely due to data retention policies.

I’ve got Codex (voice) in CarPlay. And it’s fantastic. I can now build things during road trips, while all 5 kids make a noise and my wife asks why I talk to the AI more than I talk to her. It runs through my Nightblood iOS app, which gives ChatGPT Voice a face, personality and full access to Codex, my Mac and all the native tools.

Share of wallet (dollars spent) vs share of tokens used. Anthropic vs OpenAI Astra = top model by spend last week Luna = top model by tokens (by a LOT)

Now everyone can put data to work. We’re introducing a new Data agent in ChatGPT Work so you can turn your company’s data into answers, interactive dashboards, and action—just by asking. Just add the Data Plugin in ChatGPT Work, connect to the data sources and context you already use, and start the conversation. t.co/EG1nQFZfEU

These parents didn’t know why their daughter was sick. They turned to AI to help solve the mystery. trib.al/ljM4JmF

Three months ago, we launched ChatGPT Sites – an easy way for anyone to build and host fully functional, interactive web apps. Since then, people have created over 5M sites. We’ve been listening to your feedback and ICYMI, we’ve launched a few Sites updates: 🫂 Build together: Invite teammates to edit, save, and publish to your shared Site 🔐 Share privately: Invite specific people to a private Site without making it public 🚀 Launch faster: Go from prompt to deployment in half the time 👀 Explore your data: Ask ChatGPT to inspect your Site’s database. Editors can view it, too 🌐 Add your own custom domain

Now available: ChatGPT for Financial Services. This is a tailored ChatGPT Work experience that combines built-in financial data with GPT-6 Astra’s reasoning. Teams can develop research, build financial models, and create customized client materials. openai.com/index/introduc…

GPT-6 Astra is now the best-performing frontier model for antibody developability prediction in our benchmark. 🧬 Finding an antibody that binds is only the beginning. Will it aggregate? Will it stay stable? Can it actually behave like a drug? GPT-6 Astra predicts these developability properties better than the other frontier models we tested. 🤯 And yes, the interactive visualization showing how an antibody actually works was also built with Astra in about 1 hour. This model looks seriously powerful. Congrats @gbt @sama #insilicoSOTAFM

GPT-Live-1 is now available in the API. Bring ChatGPT’s natural back-and-forth to your app, with voice agents that listen while they speak and work with the models and harness you choose.

Verified U.S. clinicians can get free GPT-6 Astra (Pro) access today via ChatGPT for Clinicians. Sign up: chatgpt.com/plans/clinicia…

GPT-6 Astra just solved a problem medical students have been facing for decades Medical students have been working around the same three problems for decades. Someone talked to them, identified all three, and built a service with Astra that solves them in one tool. The problems are structural. Flat anatomical diagrams strip depth out of organs entirely. CT cross-sections don't connect naturally to the overview diagrams students spend years memorizing. And reading a scan requires holding three mental models simultaneously - patient orientation, cross-section direction, and how every organ shape shifts through each layer. Astra built a service that handles all three in one place. Not a better textbook. A spatial tool that connects the diagram, the CT view, and the 3D relationship together. Medical education hasn't changed its core format in over a century. This might be the first tool designed around how anatomy is actually understood - not just displayed.

We mobilized 250+ people to strengthen our defenses across hundreds of systems. Our latest cyber models helped us find and fix vulnerabilities we might never have discovered otherwise. We’re sharing what we learned, the architecture, and a practical playbook so you can build your own Defense Factory: a continuous loop where AI agents find vulnerabilities, validate them, and verify that fixes work. t.co/k1oWJHle8S

We mobilized 250+ people to strengthen our defenses across hundreds of systems. Our latest cyber models helped us find and fix vulnerabilities we might never have discovered otherwise. We’re sharing what we learned, the architecture, and a practical playbook so you can build your own Defense Factory: a continuous loop where AI agents find vulnerabilities, validate them, and verify that fixes work. t.co/k1oWJHle8S

Paul Christiano, founder of the Alignment Research Center, is joining the OpenAI Foundation Board and its Safety and Security Committee, which provides governance over the safety and security practices across OpenAI. As AI capabilities advance, strong safety, security, alignment, and governance matter more than ever. Paul’s work on AI alignment and his years at @NIST will strengthen the Foundation’s oversight, bringing an independent voice to challenge assumptions, assess safeguards, and reinforce accountability around critical decisions. Paul will also serve as a non-voting observer on the OpenAI Group PBC Board. t.co/gi5yHFw0aF

Small business owners deserve every advantage. Meet the 16 plugins that help take work off your plate so you can focus on what matters most—running your business. Explore the small business collection: chatgpt.com/plugins?catego…

More exciting news from @OpenAI: GPT-Image-2.5-Sunburst is #1 and Flare is #2 across the Text-to-Image Arena, the Image Edit Arena, and the Multi-Image Edit Arena! Both releases are significant improvements over GPT-Image-2 (medium) in all 3 Arenas. Sunburst delivers the highest quality generation, while Flare still improves upon GPT Image 2 at significantly faster speeds. The increase by points are (Sunburst | Flare): - Text-to-Image: +40 | +18 pts - Single-Image Edit: +59 | +30 pts - Multi-Image Edit: +81 | +47 pts Across all categories like 3D Imaging & Modeling, Art and more, Sunburst is #1 and Flare holds #2 in all three Arenas. Congrats to the team at @OpenAI!

.@ChatGPT Images 2.5 is a major leap for fashion applications. The previous model was great at staying true to an original design, without turning it into something you’d already seen on a runway. But the results sometimes looked flat. 2.5 brings those designs to life!

chatgpt image 2 vs image 2.5 holy openai is on berserker mode first astra , then ns math and now sota image x.com/OpenAI/status/…

ChatGPT broke its MAU record for the 4th consecutive month in August, reaching 1.06B MAUs.

ChatGPT Images 2.5—faster, sharper, smarter, with better tools for creating whatever you can dream of. - Faster image generation to keep your ideas flowing - Improved fidelity for more natural, recognizable images - Consistent details across multiple edits - Comment-based edits to change only what you want

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

ChatGPT Work can now pick up on what makes your writing sound like… you. Your favorite phrases. Your very specific sign-off. your capitalizations quirks. Connect the tools you use every day, like Gmail, Google Drive, Slack, and SharePoint, and ChatGPT Work will learn your writing style from your emails, messages, and files—and carry it into whatever you write next.

So Astra is able to identify sounds from mel spectrograms zero-shot. I don't think we've scratched the surface of what this model can do (and this is light reasoning btw)

Yesterday, I built a cell model. 🧬 Today, it showed me how Ozempic works. I asked it to explain the mechanism. 1 hour later... THIS. 🤯 GPT-6 Astra is insanely powerful. 🚀 I can’t stop @DeryaTR_ @gdb Now I’m wondering... can it model the rentosertib mechanism? 👀

I had my “touch of AGI” moment yesterday. I recorded a video of myself talking through a problem: how to improve maintenance of tangled hair in the shower drain. It was a ~4 min video where I explained the problem and also used a digital caliper to take measurements. I asked GPT 6 Astra (Ultra) to come up with a fix for the problem. It took the video, extracted my voice, and matched the video frames to where I measured the parts. It came up with an idea for making maintenance and cleaning easier. I got an interactive sketch so I understand what it is talking about. I told it to use computer use in Fusion 360. I watched in real time as it designed the part, making it fully parameterized. While watching, I learned a couple of tricks, like how making a design read-only frees up one of the 10 free editable designs you get 😅 Anyway, it designed it and it looked solid. I told it to add fillets. I 3D printed it, tried it, and it fit perfectly on the first try. Even though it wasn’t super complex, it solved a real-world problem, probably faster than it would have taken me to wrestle with Fusion and get what I wanted.

I wrote about the state of AI, why I’m concerned about the next few years, and the choices we need to make to keep the future in humanity’s hands. An Alien Mind: openai.com/index/an-alien…

@ChaseLochmiller @OpenAI GPT-6 Astra, trained on ~100K+ NVIDIA Grace Blackwell NVLink72. From ChatGPT to o1 to Astra in 4 years. AGI has arrived. Congratulations @OpenAI team. 400K GPUs coming online next.

I sicced Astra on a bunch of replication packages, and it found a huge number of coding errors. Most of these were inconsequential, but some of them overturn central results for papers in high-ranking journals. Astra also discovered that many models weren't even run properly.

I'm totally floored! This resulted from a single prompt telling Astra (medium) to make a video of a tendon transfer surgery we do as hand surgeons (EIP to EPL tendon transfer). Excited to keep exploring this for surgical education, patient education, and robotic simulation!

9 cool GPT 6 Astra prompts worth trying: 1. The bill renegotiator. "Go through my internet, phone, and software bills, jump into each provider's chat support, and negotiate them down or cancel what I'm not using." 2. Turn an agency into software. “Pick one service business in [niche] and reverse-engineer the exact workflow they sell to clients. Break it into steps, tools used, inputs, outputs, human judgment points, and places where the work gets slow or expensive. Then design the simplest AI product that could replace the first version of that service and charge $500-$5,000/month.” 3. Garage sale flipper. "Watch Facebook Marketplace and Craigslist in my city for [cameras / furniture / bikes] listed way under market, and text me the second one's mispriced with the link." 4. Create my 1 person company dashboard. “Look at my docs, notes, Stripe exports, analytics, customer calls, and project list, then build a weekly operator dashboard. I want to know what is making money, what is wasting time, what customers are asking for, what I should stop doing, and the three highest-leverage actions for next week. Be blunt and show your work.” 5. Audit my company for agent opportunities. “Look at how this business works and find the tasks we should give to agents before hiring another person. For each task, estimate the current human time, the cost of mistakes, the tools involved, the difficulty of automating it, and the first safe version we could deploy. Prioritize things that save money or create revenue within 30 days.” 6. Be my browser operator. “Use the browser to complete this workflow: [workflow]. As you go, click through the actual sites, collect the data, fill the forms where appropriate, and keep notes on what broke or slowed you down. When you’re done, give me the output, the repeatable SOP, and the automation plan so this can become an agent.” 7. The whole QA team. "Every night, open my app on a real phone, go through signup, checkout, and the main flows, and screenshot anything that's broken or confusing." 8. The competitor spy. "Sign up for my top 3 competitors, sit inside their product and their emails, and send me a monthly report on every new feature, price change, and thing they do better than us." 9. Make a game people would actually play for 5 minutes as a lead magnet “Build a browser game around this mechanic: [mechanic]. Don’t just make a cute demo; add progression, tension, scoring, failure, polish, and one reason someone would send it to a friend. Then add lead capture (email/sms), it needs to tie into my core product which sells XYZ.”

GPT-6 Astra is now available to all Pro, Enterprise, and Business Premium users in Work/Codex, and is available in the API. We will start rollout to Plus and Business users next. Thank you for the patience.

Excited to see early customers already using Astra on Azure! azure.microsoft.com/en-us/blog/gpt…

GPT-6 Astra by @OpenAI achieves SOTA on ARC-AGI: - Astra scores 63% on ARC-AGI-3, 99% via a new provider adapter harness - It surpasses human performance on 96% of ARC-AGI-3 levels - It builds the most precise symbolic model of novel environments we've seen Our analysis:

GPT-6 Astra is state-of-the-art on FrontierMath Tier 4, ARC-AGI 3, and TerminalBench-4.0. GPT‑6 Astra is also a major advance for scientific discovery, with state-of-the-art performance on Terminal-Bench Science 0.1 and HealthBench Pro.

What happened when GPT 5.6 Terra and Luna were heavily discounted on OpenRouter? Token usage exploded by 13.8x Jevons Paradox = as technology makes the use of a resource more efficient, total consumption of that resource increases rather than decreases 🧵

ChatGPT Work did, in fact, book me a haircut for 90 minutes ago and it did work I did get a haircut

We have conducted a thorough investigation into the Hugging Face incident. We are releasing a technical report and accompanying blog post that reconstruct the agents’ activity, explain why existing safeguards failed, and detail how we’re preventing recurrence. t.co/hfxlbiXXiP

OpenAI decided to keep the chip team small and use AI for a an improvement loop Early stages of Hardware in the loop RSI?

A few updates to scheduled tasks in ChatGPT Work on web and mobile: Plus and Pro users can now set tasks to respond when something changes in Slack, Gmail, and Github, rather than just run on a set schedule. We’re also rolling out scheduled tasks in ChatGPT to Free users, who can create up to three tasks. You can also now share your favorite tasks for others to customize and use.

ChatGPT Work can now use its computer and browser to sign in to websites on web and mobile, without ChatGPT ever seeing your username or password. That means you can ask it to: • Set up utilities for a new apartment • Book a DMV or passport appointment • Check reimbursement costs through your insurance • Find and book an in-network doctor around your availability • Check when your car registration expires and prepare the renewal paperwork • Compare your rental insurance policy with an issue you’re emailing your landlord about • Find and save apartment listings that match your criteria • Restock something just by uploading a photo • Schedule a package pickup for a return • Cancel tickets for a rescheduled trip • Book a vet appointment • Submit reimbursement paperwork for medical treatments • Check resale sites for new drops and save things you might like • Find candidates with specific experience and draft outreach • Take invoices from your email and submit them to your accounting software • Draft replies to rental property inquiries • Fill out permit applications for your small business • Add action items to a vendor portal based on a recent client call • Analyze the latest ad campaign for your small business

Introducing ChatGPT Business Premium Seats The new $100 Premium seat is a game changer for small businesses and startups—giving lean teams better tools, faster workflows, and capabilities once reserved for big companies. A flexible plan that scales with your team’s ambition. t.co/zxvwwaOaVF

OpenAI: "Today, we shared the first measured performance results from Jalapeño, OpenAI’s first custom inference chip. On InferenceX, a public benchmark using GPT‑OSS 120B, Jalapeño delivered more peak throughput per kilowatt and lower token latency than the commercial systems in the comparison. It also performed strongly on DeepSeek R1 and Kimi K2, showing that its gains extend across model families." "This is Jevons paradox: greater efficiency makes more uses worthwhile, expanding consumption and creating new economic activity through more work completed, better decisions, more products launched, and more revenue generated." "AI played a direct role in Jalapeño’s development, enabling the team to move from initial design to tapeout in nine months by exploring implementations, shortening design, measurement, and verification loops, and continuously iterating on model workloads. AI also helped optimize the chip’s arithmetic circuits, allowing the team to fit more compute performance into the chip on schedule." "We plan to begin deploying Jalapeño within OpenAI’s compute infrastructure by the end of the year. It is the first generation of a multigenerational roadmap: Gen 2 is deep in development, and Gen 3 is taking shape. Each generation will build on what we learn and further advance both efficiency and speed." "As we prepare for deployment, we are continuing production qualification, maturing the software, preparing to operate Jalapeño at scale, and validating performance across more models."

AI power users are showing up outside tech. The fastest-growing Codex adopters since February: Legal: 108x Sales: 41x Recruiting: 41x Marketing: 26x Healthcare: 24x Charts of the Week: a16z.news/p/charts-of-th…

In my ~14 months at @OpenAI, one of the most surprising and genuinely wonderful things about it, has been the full leadership support for full-duplex models (gpt-live series), even when it seemed deeply improbable that they would work. And yet, if they did work, it was obvious how magical they could be. I am quite sure this is not an exception but a general rule for research projects at @OpenAI. There were so many moments when the problem felt impossibly hard. But one thing kept being true: it was never clear why it shouldn’t work. And almost every time we understood the problem a little better, it became a little easier to solve. I’m pretty sure there are very few environments in the world where a bet like this could have been made and sustained. So grateful to be part of this wonderful place.

Not even a year ago, 10B tokens in a year was a big achievement and got you a plaque Now I do >10B tokens a week x.com/alexatallah/st…

As we continue to push the frontier of capabilities while improving efficiency, we're dropping API and credit pricing of GPT-5.6 Sol by over 20% for the next 3 months.

A milestone for our infrastructure: our first NVIDIA Vera Rubin racks are here and now running our training stack. This is an important step as we expand compute that powers OpenAI's next generation of frontier AI pre-training.

things i use codex browser/chrome/computer for - closing the books our accounting software - clearing my linkedin queue - managing gmail / clearing inbox - setting up stripe radar rules - iterating on images in midjourney - browser based QA on every PR - build inspo library from other websites - completing security questionaires - signing up for procurement systems - research + outreach for vendors who only have crummy online forms - configuring saas when API is not available - registering for conferences - cancelling subscriptions - using iphone mirroring to use mobile apps from my desktop (look ma, no hands!) what else should I be doing?

With Codex, @asana finished a frontend test migration from Enzyme to React Testing Library in two calendar weeks—a project expected to take five more years. openai.com/index/asana/

Teams are using the open-source Codex harness to bring agents into the tools they already use, from internal apps to operations dashboards. Their applications control the interface, context, tools, and approvals while the harness handles the agent loop. developers.openai.com/blog/codex-as-…

We will continue to offer Zero Data Retention for frontier models. As AI takes on longer, more autonomous work and delivers greater value to businesses, safety systems also need to identify risks across related interactions. To help address those risks, we're previewing Private Safety Processing, which is designed to improve safety without giving OpenAI personnel access to the underlying content.

As models become more capable, the risks associated with developing and testing them internally also grow. We temporarily paused reinforcement learning (RL) training on our latest models intended for deployment for two weeks while we hardened and red-teamed our research environments and expanded monitoring coverage. Our largest planned frontier RL run remains on hold while smaller-scale training and evaluations validate these safeguards and establish more evidence of alignment. t.co/ecbMMmVoox

chatgpt browser use is goated 🐐 preparing a whole immigration package in minutes by scraping the last 7 years of taxes, bank statements, and immigration documents

Wild adoption gap: the top 1% of AI spenders are spending more than 600x as much as the median company Charts of the Week: a16z.news/p/charts-of-th…

This went under the radar this week, but we just shipped the ability for models with multi agents v2 to delegate to any supported model, including Luna! Took a bit of time to make sure this worked reliably

This week's ChatGPT feature drop - Aug 14: 1/ Quizzes - "Quiz me on [topic]" will now automatically generate quizzes right in Chat. Learn any topic! 2/ Reservation search - "I'm looking for a reservation for two next Saturday for a place with a great outdoor patio". Nice thing is you can just describe what you want. 3/ Google Drive for Paid Users - You can now add Google Drive files to your ChatGPT Library. That makes it easy to ask ChatGPT questions about those files. Just hit the + menu and "Add from Library" 4/ Suggestions for Paid Users - Paid users will see high quality suggestions on the home page of ChatGPT We're continuing to make answers better, allow you to pull in the right documents, and more easily discover what Chat can do. Step by step, ChatGPT gets more useful! Leave feedback in the comments.

Previewing Ultrafast mode: GPT-5.6 Sol at up to 14x the speed. Launching first in the OpenAI API to a select group of customers with expanded access to more businesses as capacity grows.

has chatgpt or codex ever saved you actual money? caught an incorrect invoice, found a billing mistake, canceled subscriptions, negotiated a bill, etc. what happened, how much did you save, and what was the workflow? reply or dm me. looking for real stories!