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Joined March 2014
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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/previewing-…
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We’ve partnered with @AMD, @Broadcom, @Intel, @Microsoft, and @NVIDIA, to release Multipath Reliable Connection (MRC), a new open networking protocol that helps large AI training clusters run faster and more reliably, with less wasted GPU time. openai.com/index/mrc-superco…
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AI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here’s a snapshot of our progress 🧵
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Claude Security is now in public beta for Claude Enterprise customers. Claude scans your codebase for vulnerabilities, validates each finding to cut false positives, and suggests patches you can review and approve.
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🚨 BIG NEWS from #WhatsNextWithAWS: Amazon announced a major expansion of our partnership with @OpenAI. Starting today, @awscloud and OpenAI are bringing the latest OpenAI models to Amazon Bedrock, launching Codex on Amazon Bedrock, and launching Amazon Bedrock Managed Agents, powered by OpenAI (all in limited preview). AWS and OpenAI will continue to bring the latest advances to Amazon Bedrock—so the models and agents you build with today continue to benefit from new breakthroughs as they arrive. Dive deeper here. 👇
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Higgsfield MCP is HERE! 🧩 You can now create content end-to-end inside any agent: OpenClaw, Hermes Agent, NemoClaw. The only way to get agentic access to Seedance 2.0, GPT Images 2.0, and every other top model. Let your agents build content while you sleep.
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Amazon Quick is now available as a desktop app on your computer. Quick connects the dots across tools and conversations, helping you stay ahead of meetings, follow-ups, and shifting priorities. Your AI assistant sits beside your workday, learns the context of your projects, and works directly with your calendar, email, and local files, so you never start from zero.
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At OpenAI, we’re working to advance scientific understanding to help improve human well-being. The AI tools we are building, like Sora, GPT-4o, DALL·E and ChatGPT, are impressive from a technical standpoint. But what really matters is how they’re starting to change the way we interact with information and ideas. A few years ago, in my essay "Language & Coding Creativity", I wrote about how these systems represent a big shift in our relationship with language and creativity. As we keep improving these tools, our mission stays the same: to make them helpful, safe, easy to use, and available to as many people as possible. We want to help reduce the obstacles that have traditionally kept people from expressing their unique ideas and perspectives. By carefully designing these technologies to collaborate with human creators, I think we can build wonderful tools to help artists have more control, be more innovative, and explore new frontiers of possibility. When we made DALL·E, we worked closely with artists, designers, and storytellers, trying to build a tool that fits into their creative process and helps bring their visions to life. Moving forward, I believe AI has the potential to democratize creativity on an unprecedented scale. A person’s creative potential should not be limited by their access to resources, education, or industry connections. AI tools could lower the barriers and allow anyone with an idea to create. At the same time, we must be honest and acknowledge that AI will automate certain tasks. Just like spreadsheets changed things for accountants and bookkeepers, AI tools can do things like writing online ads or making generic images and templates. But it's important to recognize the difference between temporary creative tasks and the kind that add lasting meaning and value to society. With AI tools taking on more repetitive or mechanistic aspects of the creative process, like generating SEO metadata, we can free up human creators to focus on higher-level creative thinking and choices. This lets artists stay in control of their vision and focus their energy on the most important parts of their work. To make sure these technologies are developed and used in a way that does the most good and the least harm, we work closely with red-teaming experts from early stages of research. We also use an iterative approach, gradually releasing tools and carefully studying how they impact the real world to guide future development. Protecting and strengthening the most valuable aspects of creativity is fundamental to our human experience.  Realizing the potential of AI is not guaranteed. It takes carefully building tools and using them responsibly, in close partnership with creators and communities they’re intended to benefit. This means putting strong safeguards in place, reducing harmful biases, and proactively dealing with potential negative effects. At OpenAI, this is at the core of how we work, and we’ve never wavered in our commitment to this as we've released new tools.
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We’re really grateful to Jan for everything he's done for OpenAI, and we know he'll continue to contribute to the mission from outside. In light of the questions his departure has raised, we wanted to explain a bit about how we think about our overall strategy. First, we have raised awareness of the risks and opportunities of AGI so that the world can better prepare for it. We've repeatedly demonstrated the incredible possibilities from scaling up deep learning and analyzed their implications; called for international governance of AGI before such calls were popular; and helped pioneer the science of assessing AI systems for catastrophic risks. Second, we have been putting in place the foundations needed for safe deployment of increasingly capable systems. Figuring out how to make a new technology safe for the first time isn't easy. For example, our teams did a great deal of work to bring GPT-4 to the world in a safe way, and since then have continuously improved model behavior and abuse monitoring in response to lessons learned from deployment. Third, the future is going to be harder than the past. We need to keep elevating our safety work to match the stakes of each new model. We adopted our Preparedness Framework last year to help systematize how we do this. This seems like as good of a time as any to talk about how we view the future. As models continue to become much more capable, we expect they'll start being integrated with the world more deeply. Users will increasingly interact with systems — composed of many multimodal models plus tools — which can take actions on their behalf, rather than talking to a single model with just text inputs and outputs. We think such systems will be incredibly beneficial and helpful to people, and it'll be possible to deliver them safely, but it's going to take an enormous amount of foundational work. This includes thoughtfulness around what they're connected to as they train, solutions to hard problems such as scalable oversight, and other new kinds of safety work. As we build in this direction, we're not sure yet when we’ll reach our safety bar for releases, and it’s ok if that pushes out release timelines. We know we can't imagine every possible future scenario. So we need to have a very tight feedback loop, rigorous testing, careful consideration at every step, world-class security, and harmony of safety and capabilities. We will keep doing safety research targeting different timescales. We are also continuing to collaborate with governments and many stakeholders on safety. There's no proven playbook for how to navigate the path to AGI. We think that empirical understanding can help inform the way forward. We believe both in delivering on the tremendous upside and working to mitigate the serious risks; we take our role here very seriously and carefully weigh feedback on our actions. — Sam and Greg
i'm super appreciative of @janleike's contributions to openai's alignment research and safety culture, and very sad to see him leave. he's right we have a lot more to do; we are committed to doing it. i'll have a longer post in the next couple of days. 🧡
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We beat GPT-4 on HumanEval with fine-tuned CodeLlama-34B! Here's how we did it: phind.com/blog/code-llama-be… 🚀 Both models have been open-sourced on Huggingface: huggingface.co/Phind
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📣 Just announced! Join live us on May 18th for #AtScaleMetaAI, a one-day virtual event sharing a look at the next generation of AI infrastructure and innovations powering Meta’s products and services today and in the future. RSVP ⬇️

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"Animation can explain whatever the mind of man can conceive." —Walt Disney #AnimationDay xitter.cf/Disney/status/65939687…
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Google shares SEM best practices vetted by those who built AdWords. Go to goo.gl/LzC6EL
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A feature isn't anything until there's an interaction. Call it "the product of the product" Tx to @SamuelHulick
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It's one thing to write code. It's another to humanize technology so it serves a purpose in people's lives.
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