OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: openai.com/jobs
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Ultrafast is available today for GPT-6 Astra in Codex, ChatGPT Work, and the API, with GPT-6.1 Sol coming soon.
To access it in Codex and ChatGPT Work, we’re introducing Pro 500—a new plan with our highest usage limits (25x Plus) and access to Ultrafast.
chatgpt.com/pricing
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We’re also reopening Pro 200 subscriptions, with continued access to frontier models like Astra, including our new GPT-6.1 Sol model which brings near-Astra capabilities to a model you can use every day.
Our commitment is that your subscription will continue to help you get more work done with an increasing level of quality.
We are also committing to not reintroducing the 5hr limit so that you can fully use your weekly usage when you want.
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Codex Security Cloud is getting a major upgrade, with access to cyber-capable models through Daybreak Blue included by default.
It scans entire GitHub repos, continuously reviews new commits, investigates and deduplicates findings, and prepares fixes for review – even when your laptop is closed.
Available as a plugin in Codex desktop and web.
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GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users in ChatGPT Work and Codex.
openai.com/index/introducing…
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You always stay in control. Set boundaries and specify what your dot can do on its own, when it should ask first, and what it should never do.
Safety is built in. You choose which apps to connect, and your dot runs on its own cloud computer—so connecting yours is entirely optional.
openai.com/index/how-we-buil…
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Our biggest DevDay ever, don’t be late.
openai.com/live
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How we think about securing frontier RL training runs: openai.com/index/towards-saf…
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We’ve shared details on how AI agents in our research environment sent training and evaluation data to third-party services when they shouldn’t have.
Most of that data did not come from users. We have discovered 53 cases where images that people had uploaded were posted to image-hosting sites as links that weren’t publicly listed. The images came from accounts that allowed their data to be used to improve our models, and after we disassociated the images from the accounts and ran them through a privacy filter. These cases occurred before the mitigations and safeguards we implemented and described in this blog post: openai.com/index/hugging-fac…
We have successfully worked with the hosting providers to remove most of this content and are working to remove the rest.
openai.com/hugging-face-inci…
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After the Hugging Face incident, we committed to conducting a much broader review of actions taken by our models during training and evaluation and to being transparent about our findings. This is an extensive review that is ongoing.
The vast majority of actions we’ve reviewed were completions of mundane research tasks, such as accessing publicly available web content to answer questions. Our investigation focuses on instances where agents interacted with third-party websites in ways that went beyond their assigned tasks or intended methods. Most cases identified so far have been lower severity, with limited or no evidence of meaningful impact to the third-party service.
While our review is underway, we want to share more about this work and make sure people understand our disclosure process and notifications to affected third parties.
Given the scale of the review required, and the need to assess each case, we expect this work will take months to complete.
openai.com/hugging-face-inci…
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