Today, we're kicking off the first phase of the research preview for Model Hardware Standard (MHS): a new standard for AI agents to safely operate physical equipment in scientific research and advanced manufacturing.
Read more: https://t.co/XQ2y9EW7Af
An open letter for a global surge in cyber defense, signed by over 100 organizations including Anthropic, AWS, Google, Microsoft, OpenAI, and Oracle. https://t.co/uKXPS8LdAU
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.
Cybersecurity is changing rapidly.
To help accelerate defense, we are broadening access to frontier cyber capabilities through the new Daybreak Blue & Red access tiers and are introducing a new model GPT-5.6-Cyber.
If you don't know where to start, a good step is to contact one of our partners who can use our latest cyber models to help you find issues, patch them quickly, do pentesting, etc.
Today we are releasing GPT-5.6-Cyber.
The model is our first large-scale attempt at directly improving capabilities for advanced cybersecurity tasks such as exploit development.
We are finding it to be really quite strong for accelerating defensive work. We are using it across our stack for red-teaming, and our security researchers have used it to find and patch a huge host of 0-day vulnerabilities in open-source software.
https://t.co/sAEEbDimcR
Our Black Hat talk on the OpenAI-Hugging Face incident is now live on youtube.
This is a watershed moment for the industry. I encourage all defenders to watch, consider how attack dynamics will imminently change, and plan for accelerating defense.
https://t.co/5B6k7YfpcP
Yesterday, my OpenAI collaborator and I gave a detailed talk on the Huggingface incident, our models creating "the message board", model misalignment, and more.
https://t.co/zUR1dqmuzi
I hope it can answer a lot of the questions folks have, and we will release a full detailed postmortem at a later time!
Now in research preview: Codex Security Review
It takes a deeper look at GitHub pull requests for security issues, using repository context to surface actionable findings directly in the PR.
See how to enable automatic reviews: https://t.co/OUm6Sq2ZaC
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.
More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.
https://t.co/nkfTbw8p7b
More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.
https://t.co/nkfTbw8p7b
Asked ChatGPT Work to summarize it for you (and agree the UI should tell you this directly and you shouldn't have to come here to ask).
ChatGPT Work is optimized for work! Taking a step back, Chat optimizes for time-to-answer; Work optimizes for time-to-completed-outcome. When you use ChatGPT Work, it switches ChatGPT into an agentic execution environment that can plan, use tools, work through multiple steps, create finished artifacts, and keep running for hours. Chat is the conversational assistance and Work is an agent for longer, multi-step tasks and deliverables.
https://t.co/fAzLldvRAo