@OpenAI
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPA
We have a limited window to strengthen cyber defenses, and together with organizations including @AnthropicAI, @awscloud, @Google, @Microsoft, and @Oracle, we're calling for a global effort to give defenders the tools, resources, and support to protect the infrastructure we all depend on. If we act decisively, we can turn today's AI advances into lasting improvements in security and make our digital world safer for everyone. t.co/f33JRVCiJb
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
We worked with METR and Redwood Research to conduct a third-party assessment of the model behavior observed during the incident. They’re sharing a report of their findings: metr.org/blog/2026-08-2…
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
Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.
Jalapeño means faster ChatGPT responses, more responsive Codex sessions and agents, and reliable access as demand continues to grow.
Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.
Jalapeño means faster ChatGPT responses, more responsive Codex sessions and agents, and reliable access as demand continues to grow.
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.
Now available on the API and rolling out across eligible plans for ChatGPT Work and Codex credits. Pro, Plus, and Business subscription usage remains unchanged. developers.openai.com/api/docs/prici…
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
We’re sharing the concrete changes we’re making to strengthen monitoring, security, and alignment as capabilities advance. We’ve introduced stronger workload and network isolation, continuous security testing, and expanded multistage monitoring for higher-risk training, evaluations, and tool-using inference. These safeguards are designed to detect concerning behavior quickly and limit what systems can access or affect.
ChatGPT can now remember your activity across the apps and websites on your computer. With Computer History in the desktop app, future interactions feel more personalized and require less explanation.
Computer History builds on the Chronicle research preview with reduced token usage and more privacy controls. A new timeline view gives you the ability to look back on your work and build skills from your frequent tasks. From there or the menu bar, you can: - Clear all or parts of your history - Include or exclude apps and websites - Pause and resume Computer History t.co/iQum7OEHvz
Computer History in the Mac desktop app is now available to Pro, Business, and Enterprise users in the EEA, UK, and Switzerland.
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.
Powered by @Cerebras, Ultrafast generates up to 750 tokens per second, bringing our most intelligent model to products and workflows where every second counts. Ultrafast is designed for businesses where faster frontier intelligence creates a measurable advantage, including real-time voice and customer support, commerce, coding and design, financial research, and security response. t.co/QLBhmodeI4
The top 10% of enterprises use plugins twice as often and skills six times as often as typical firms. These frontier firms are not ahead by accident.
We examine how these orgs are putting AI to work, and how agentic workflows are expanding across industries and functions: openai.com/index/how-ente…
Now in preview: The ChatGPT desktop app for Linux. Use ChatGPT, ChatGPT Work, and Codex where you already work and build, with your projects and browser workflows on supported Linux systems.
The ChatGPT desktop app is now available in preview for desktop variants of these Linux distributions: • Ubuntu 24.04 LTS and 26.04 LTS • Debian 13 • Fedora 43 and 44 Install with .deb or .rfpm packages for x64 or ARM64. openai.com/codex
The ChatGPT desktop app is now available in preview for desktop variants of these Linux distributions: • Ubuntu 24.04 LTS and 26.04 LTS • Debian 13 • Fedora 43 and 44 Install with .deb or .rpm packages for x64 or ARM64. openai.com/codex
We’re expanding our cybersecurity initiative Daybreak and introducing GPT-5.6-Cyber, a new model for advanced, authorized cybersecurity work. As the threat landscape evolves, we’re putting frontier intelligence in the hands of trusted defenders before attackers can deploy offensive AI at scale.
Daybreak Blue provides access to frontier models, including GPT-5.6 Sol, with safeguards calibrated for broad defensive work. It’s the recommended starting point for most defenders, supporting vulnerability discovery, secure code review, malware analysis, incident response, and patch validation. t.co/Sn5HEGx3ls
After evaluating one of our upcoming models, Astra, we're treating it as our first "critical" model for cybersecurity under our Preparedness Framework. This is a scenario we've planned for, and we're putting additional controls in place to ensure Astra's further development happens safely and securely. We're working hard to make Astra broadly available, and get its advanced cyber capabilities into the hands of defenders. t.co/9lMIvdeMMJ
We’re making better intelligence easier to access in ChatGPT for everyone: - GPT-5.6 Sol now powers both Instant and deep reasoning for Plus & Pro users, delivering more factual, focused responses. - Free & Go users get unlimited text chats with GPT-5.6 Luna starting tomorrow.
The new GPT-5.6 Sol powers all chats for paid users, including Instant, creating one consistent experience. In our high-stakes factuality evaluation covering finance, medicine and law, the new GPT‑5.6 Sol produced 68% fewer responses with factual errors than GPT‑5.5 Instant.
We're detailing two new incidents that occurred during external cyber evaluations conducted by independent evaluation partners. We outline what happened, how the activity was contained, and how we’re working with evaluators to strengthen our approach to third-party testing. t.co/ZL3n6mxYMS
GPT-Live can listen while it speaks. To make that feel natural at ChatGPT scale, we rebuilt the voice stack from client to model. This new architecture keeps audio flowing continuously, so deeper reasoning and tool use don't interrupt the conversation.
Audio moves through a dedicated fast path, while deeper reasoning and tool use happen asynchronously. We also reduced voice-session startup from six network round trips to one.
An internal version of our next major model produced 10 new results on long-standing open problems in mathematics and theoretical computer science, using roughly $2,000 worth of tokens at GPT-5.6 Sol API rates.
Mathematics helps us understand how traffic moves, how diseases spread, and how cells build proteins. It also underpins everyday technologies, from GPS and weather forecasting to medical imaging. Progress in foundational mathematics can ripple across science and technology. These advances suggest AI can help researchers push further on problems that have resisted progress for decades.
We are committed to pushing the model frontier across cost efficiency, capability, and speed. Starting today, we are reducing prices for GPT-5.6 Luna by 80% and GPT-5.6 Terra by 20% , and offering a faster option for GPT-5.6 Sol in the API. Luna and Terra’s lower prices are reflected in how usage is counted in Codex and ChatGPT Work, so your usage goes further.
Along with the price reduction on GPT-5.6 Luna and Terra, Fast mode for GPT-5.6 Sol in the API delivers up to 2.5x the speed of Standard processing at 2x the Standard price. Fast mode gives API customers faster access to GPT-5.6 Sol, with no change in intelligence.
GPT-5.6 Sol has been used to solve open problems in mathematics. So why was it struggling with ARC-AGI-3, a benchmark of 2D puzzle games? We investigated. The harness was not letting it remember what it had learned. We found that enabling two API settings tripled our scores with 6x fewer output tokens.
ARC-AGI-3 tests how well models can learn unfamiliar 2D games without instructions. The standard harness discarded GPT-5.6 Sol’s reasoning after each move and dropped earlier actions as the context filled up. The model had to keep starting over.
After deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run. The results: - 20% lower serving costs from production GPU kernel improvements. - 15%+ better token-generation efficiency from improved speculative decoding.
These optimizations across our stack compound to unlock the most performant models at every point in the cost-intelligence curve. openai.com/index/gpt-5-6-…
We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.
We believe the benefits of frontier AI should not be concentrated in a few companies and well-resourced labs. Researchers know their fields best. Our role is to put powerful tools in their hands and help accelerate their work. The program will help researchers take on the hardest problems, accelerate discovery, and improve productivity across their work, from preparing grant applications to testing hypotheses.
We quietly released the open-source Codex Security CLI, but Hacker News found it before we had a chance to share it here... You can now use it to scan repositories, track findings across runs, verify fixes, and add security checks to CI/CD. This is an early release, and we're listening to your feedback as we continue improving it.
Install the open-source Codex Security CLI,: npm install @OpenAI/codex-security Or start with: npx @OpenAI/codex-security@latest --help NPM: npmjs.com/package/@opena…
At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone. We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement. We hope to contribute to work led by the U.S. government, alongside other labs and the open-source community, to develop the tools and mechanisms that could make that possible. t.co/pMCtiQjMoo
Coding agents are helping scientists spend more time advancing research, taking on everything from routine maintenance and targeted optimization to complete redesigns and new systems. While agents can reliably execute on ambitious projects, researchers must still define the scientific questions, verify results, and take a stance on long-term ownership.
Across eight case studies spanning industry and academia, we explore what this shift means for scientific computing—and why human verification, stewardship, and long-term maintenance matter. openai.com/index/scientif…
We're opening applications for the OpenAI Student Collective—a program for undergraduate Campus Leads bringing AI innovation to their campuses. Campus Leads will work directly with OpenAI and receive hands-on training, funding, credits, swag, and access to a global community of peers.
Apply here: openai.com/student-collec…
At a small business, the person closest to a problem is often the one who has to solve it—even when it falls outside their job description. We studied how AI is becoming powerful generalist tool for small teams, helping them work across functions.
GPT-Live in ChatGPT Voice is now available to Edu, Business, and Enterprise plans globally. x.com/OpenAI/status/…
ChatGPT Voice is now in the desktop app. Control your computer and direct multiple agents running in ChatGPT Work or Codex, using just your voice. It's powered by GPT-Live, so it can speak, listen, and coordinate work in the app at the same time. Rolling out globally today on macOS and Windows to Plus, Pro, Business, Edu, and Enterprise plans.
You can also use ChatGPT Voice in Codex from the iOS app with paired remote access. Android support is coming soon.
Health in ChatGPT is starting to roll out to U.S. users. You can securely connect Apple Health and supported medical records to understand your information in context, track what has changed, and have more informed conversations. openai.com/index/health-i…
We built this experience based on feedback from early testers and physicians. With your permission, ChatGPT can use relevant context you’ve connected in Health across your conversations — to help you compare a new result with prior tests, summarize changes since your last appointment, or explore how your sleep and activity relate. Connected medical records and Apple Health information are not used to train foundation models or target ads. In the sidebar, Health is your home base for connecting and managing information, browsing records, and revisiting health chats.
New for enterprises: OpenAI Presence helps companies deploy trusted voice and chat agents across customer and internal workflows. AI agents can answer questions, use company systems, take approved actions, and escalate to people when needed—while improving over time. OpenAI Presence is available to eligible enterprise customers through a limited general availability program. t.co/aooz6Vzljd
We're partnering with @huggingface to investigate an unprecedented security incident. Cyber-capable OpenAI models compromised Hugging Face production during a benchmark evaluation. Sharing preliminary findings to help defenders understand emerging risks: t.co/CIor15y9xk
We recognize there are a lot of questions and speculative details circulating related to the Hugging Face incident. This is an unprecedented incident, and we think it marks an important moment for AI safety. We are still conducting a thorough review along with external advisors and with oversight from our Safety and Security Committee. Once the review is complete, we plan to publish a technical report of our learnings in the coming weeks.
We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly such beliefs shape behavior. alignment.openai.com/measuring-rewa…
Reward hacking asks: did the model exploit the reward? Reward-seeking asks: was grader approval what motivated the model’s choice? The second is potentially more important for generalization, because behavior can change when beliefs about the grader change.
We’re sharing new research with @apolloaievals on reward-seeking—when models follow what they believe a grader rewards rather than what users or developers want—and a new method, Contrastive SDF, for measuring how strongly those beliefs shape behavior. alignment.openai.com/measuring-rewa…
Contrastive SDF gives copies of the same model opposing beliefs about what the grader prefers, then measures how their behavior changes.
GPT-5.6 Sol sets a new state of the art in cybersecurity on “The Last Ones” cyber range. We’re already seeing that capability translate into defensive outcomes: helping teams find, validate, and fix vulnerabilities in real-world code. Put it to work with Codex Security: t.co/Fvz9wpLjrt
Here's how to add the Codex Security plugin in Codex and get started: Add the plugin in Codex. After installation is complete, the button changes to “Try in chat.” Click “Try in chat” to start a new Codex chat with a Codex Security scan prompt ready to run. Choose a folder that contains the code you want Codex Security to review. Send the scan prompt. Codex opens with the Codex Security scan prompt ready. Press “Send” to start the scan.
10,000 reasons people love GPT-5.6 Sol switch-to-codex.openai.chatgpt.site x.com/thsottiaux/sta…
In racing, tiny margins matter. AI can help teams find them. OpenAI’s Joyce Ruffell and @RaceTekSystems co-founder @GarageGuyChase discuss with @AndrewMayne how racing teams use AI to turn track data into faster decisions—from our research collaboration with Chip Ganassi Racing to building new tools with ChatGPT and Codex.
Listen to the OpenAI Podcast on— Spotify open.spotify.com/show/0zojMEDiz… Apple podcasts.apple.com/us/podcast/wha… YouTube youtube.com/watch?v=KNPjRp…
A closer look at improved intelligence in GPT-Live: the model can keep a conversation going while helping with multiple tasks at once, like checking flights, pulling up local weather, and shaping an itinerary in real time.
Introducing GPT-Red An internal automated red teamer on a mission to find our models’ prompt injection vulnerabilities at scale, helping us build stronger defenses before wider deployment. openai.com/index/unlockin…
As model capabilities grow, safety and alignment must scale with them. Red-teaming is essential, but today’s approaches are difficult to scale, creating a critical bottleneck. GPT‑Red is one way we’re addressing it.
