
@OpenAI
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPA
GPT-5.6 is a major step forward for health intelligence. Across the lineup, we’re delivering stronger performance at lower cost: GPT-5.6 Luna outperforms GPT-5.5 at its highest reasoning setting while costing 25x less. Together, these advances raise quality while making advanced models accessible to more people globally.
As part of our ongoing efforts to strengthen our safeguards for advanced AI capabilities in biology, we’re evolving our Bio Bug Bounty into an ongoing private program, known as the OpenAI Bio Bug Bounty program and doubling rewards to $50K. We’re inviting researchers with experience in AI red teaming, security, or biosecurity to try to find a universal jailbreak that can defeat our predefined biosafety challenge against OpenAI’s frontier models. t.co/79PH4TBOTE
Meet Hiroki (@tomiyasu16). A broccoli farmer running his farm with GPT-5.6.
Meet Bartosz (@nasqret). A mathematician solving previously unsolvable math problems with GPT-5.6
Introducing ChatGPT Work, a new agent in ChatGPT powered by Codex and GPT-5.6. It can take action across your apps and files, stay with a project for hours if needed, and turn a goal into finished work. It’s a whole new way to get work done.
ChatGPT Work reflects a shift in how people are using AI, moving beyond just answering questions to getting real work done across web, mobile, and desktop. You can ask ChatGPT Work to take on entire workflows with a single request. It will understand your goals, use context from selected apps and files, create polished documents, decks, analyses, sites, and reports, and keep work moving while you stay in control. t.co/9ByeVlnPfK
Sol, Terra, and Luna, our GPT‑5.6 family of models, are starting to roll out now in ChatGPT, Codex, and the API.
GPT-5.6 Sol sets a new standard for intelligence and efficiency, delivering state-of-the-art performance across coding, knowledge work, cybersecurity, and science with fewer tokens and lower cost. openai.com/index/gpt-5-6/
It all comes together in 10 minutes. openai.com/live
Today. 10am PT.
GPT-Live is now fully rolled out to all ChatGPT users on Go, Plus, and Pro plans. Free user rollout is in progress. Update to the latest version of the ChatGPT app on iOS or Android to try it out. x.com/openai/status/…
We audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find 30% of SWE-Bench Pro tasks to be broken, and are retracting our previous recommendation that the research community use it as a leading coding eval. t.co/wDdSEjBe4F
Our audit of SWE-Bench Pro found that a meaningful share of public tasks contain issues that can distort results. Some correct solutions fail because of hidden requirements, contradictory instructions, overly strict tests, or incomplete grading criteria.
We audited SWE-Bench Pro, one of the most widely used AI coding benchmarks, and found it no longer reliably measures frontier coding capability. We find the eval to be saturated at a ~70% noise ceiling, and are retracting our previous recommendation that the research community use it as a leading coding eval. t.co/wDdSEjBe4F
Our audit of SWE-Bench Pro found that a meaningful share of public tasks contain issues that can distort results. Some correct solutions fail because of hidden requirements, contradictory instructions, overly strict tests, or incomplete grading criteria.
Introducing GPT-Live, a new generation of voice models for natural human-AI interaction. Rolling out in ChatGPT starting today. You’ll want to turn the sound on for this one.
GPT-Live makes talking with AI feel like having a real conversation. It’s also our smartest voice model yet. openai.com/index/introduc…
The next generation of ChatGPT Voice is here. Livestream starts at 10am PT. openai.com/live/
Listen up. Livestream at 10am. x.com/OpenAI/status/…
GPT-5.6 Sol, along with Terra and Luna, will launch publicly this Thursday. We’re expanding preview access globally now.
We’re introducing GeneBench-Pro, a research-level benchmark for a harder kind of AI progress: how well agents can navigate messy biological data, choose the right analysis path, and make judgment calls that real computational research depends on. openai.com/index/introduc…
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. openai.com/index/previewi…
We believe in broad access and plan to make GPT-5.6 Sol, Terra, and Luna generally available in the coming weeks. For now, at the request of the U.S. government, we’re starting with a limited preview among a small group of trusted partners in Codex and the API.
Work at OpenAI is being transformed by agents, in every department. Across our entire company, people are using Codex to do work that is more complex, longer-running, and increasingly cross-functional. Our internal usage offers an early look at how agentic tools may reshape work as they become more capable and broadly available.
We have a new version of GPT-5.5 Instant for you, and it's much more fun to talk to. Our most-used model is now better at understanding the intent behind a question and adapting its response accordingly. It also handles complex constraints more reliably and makes shopping and local recommendations more useful and cohesive. Rolling out today to paid users, tomorrow to free users.
We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT, Codex, the API, and future agentic products. Chips are foundational to the AI economy. Building our own expands our full-stack platform from products to models to infrastructure, and will help us scale intelligence, serve more people, and expand access to AI.
OpenAI DevDay 2026 applications are now open! Our biggest developer event gets even bigger. 📍 San Francisco 📅 September 29 Apply by July 10: devday.openai.com
You can also tune in from home. The opening keynote will be livestreamed on September 29.
We’re expanding OpenAI Daybreak to help democratize patching vulnerable software at machine speed: - Codex Security plugin: find, validate, and fix vulnerabilities right inside Codex - The full version of GPT-5.5-Cyber model: a great model for trusted defenders - Cyber Partner Program: powering products built on top of our best cyber capabilities for leading security companies to secure the world's software - Patch the Planet: working with maintainers to secure critical open source projects t.co/hyIi6gQmkm
Codex Security empowers defenders with out-of-the-box security workflows. Teams can run deep scans, validate findings, trace attack paths, build threat models, generate codebase-specific patches for review, and export into the tools they already use.
As AI takes on longer, higher-stakes tasks, we want models to carry beneficial and safe behavior into new domains beyond their training—and maintain it under pressure. That’s the idea behind our new research on training models to be broadly and persistently beneficial. t.co/6Yw45s1RRq
We trained models with reinforcement learning on realistic conversations to reinforce beneficial traits like truthfulness, humility under uncertainty, openness to correction, fairness, and concern for human welfare, across 12 domains, including health, science, and education.
GPT-5.5 Instant is now on par with our frontier Thinking models for health-related questions. Every week, more than 230 million people turn to ChatGPT with health and wellness questions, and GPT-5.5 Instant is better at recognizing when urgent care may be needed, asking for relevant context, explaining uncertainty, and making complex information easier to understand. Because GPT-5.5 Instant is available to all free users in ChatGPT, these improvements can help more people. Physician-led evaluation was critical to making these major intelligence gains.
To improve our models, we collaborate with a global network of hundreds of physicians across 60 countries, 49 languages, and 26 specialties. Their feedback helps us identify where responses miss important context, sound overly confident, need clearer next steps, or should more strongly encourage someone to seek medical care. Those insights directly shape how we train and improve our models.
Together with researchers at Boston Children’s Hospital and Harvard, we published a study in NEJM AI showing how o3 Deep Research helped clinicians revisit previously unsolved rare pediatric disease cases, and find answers for families who had waited years.
The team reanalyzed 376 de-identified cases that had already gone through genetic testing and expert review, helping identify 18 diagnoses across neurodevelopmental disorders, rare neuromuscular disease, sudden unexpected death in pediatrics, and early-onset psychosis.
Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research. Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research workflows. t.co/JTk0wXHFrT
Benchmarks often test biological knowledge or narrow skills. The tasks in LifeSciBench test whether models can reason from evidence, work with scientific artifacts, handle uncertainty, and make useful decisions under real-world constraints. GPT‑Rosalind scores above GPT‑5.5 across all seven workflows. These initial results show meaningful progress—and room to improve, particularly on artifact-heavy, design-intensive, and operationally constrained work.
GPT-5.4 helped drive a medicinal chemistry project from literature review to a validated experimental result. Paired with Molecule.one’s Maria AI and specialized lab, the model proposed an unexpected way to improve a widely used reaction in drug discovery.
The reaction is Chan-Lam coupling, a method chemists use to build pharmaceutically relevant molecules. One difficult version, involving primary sulfonamides, has historically produced low yields, limiting how useful it can be in medicinal chemistry. openai.com/index/ai-chemi…
We’re sharing new research on a method for anticipating how models may behave in real-world use before release: simulating deployment with recent, de-identified user requests and studying candidate model responses. openai.com/index/deployme…
For this research, we analyzed only ChatGPT conversations from users who allow their data to be used to improve models. Before analysis, we removed account-linked identifiers and identifiable information, and we report only aggregate findings.
Let’s talk about evals. We’re always looking for better ways to measure and forecast model progress, especially as benchmarks get saturated or gamed. @tejalpatwardhan, who leads our frontier evals team, spoke to @andrewmayne about why evals matter and what models need to be judged on next.
Listen to the OpenAI Podcast on— Spotify open.spotify.com/episode/5pkjhU… Apple podcasts.apple.com/us/podcast/why… YouTube youtu.be/CFqjjKp9Y-Q
We heard you wanted to use Codex rate limit resets on your own time. Starting today, we’re rolling out the ability to save rate limit resets to use later. We’re starting Go, Plus, Pro, and Business users with one free reset:
For the next two weeks, Plus and Pro users can invite up to three friends to try Codex. When a friend sends their first Codex message, you’ll both get another banked reset.
An issue caused some user accounts to be incorrectly suspended. We’re restoring access and working through related subscription and credit issues. status.openai.com/incidents/ejj4…
What happened when one of our models found a counterexample to an 80-year-old Erdős conjecture? Researchers @alexwei_, @HongxunWu, and @wjmzbmr1 shared the story on the OpenAI Podcast with @AndrewMayne and explained how mathematicians and models can work together to make new
Listen to the OpenAI Podcast on— Spotify open.spotify.com/episode/3ca5s3… Apple podcasts.apple.com/us/podcast/how… YouTube youtu.be/wNWz5Hbh5VQ
We’ve been researching new ways for ChatGPT memory to carry context across conversations and keep it useful over time. Today, that work is rolling out as a more capable memory system in ChatGPT. openai.com/index/chatgpt-…
We’re building ChatGPT to remember what matters, follow your preferences and constraints, and adapt as things change. If you tell ChatGPT you’re planning a trip in July, memory should understand when the trip is upcoming, happening, and already over. That helps ChatGPT keep
We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.
It's time to fly.
Turn ideas into live prototypes. The product design plugin for Codex.
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