GPT-5.6 Sol preview — it's a good model:

Sam and I are shocked and saddened by what the board did today. Let us first say thank you to all the incredible people who we have worked with at OpenAI, our customers, our investors, and all of those who have been reaching out. We too are still trying to figure out exactly what happened. Here is what we know: - Last night, Sam got a text from Ilya asking to talk at noon Friday. Sam joined a Google Meet and the whole board, except Greg, was there. Ilya told Sam he was being fired and that the news was going out very soon. - At 12:19pm, Greg got a text from Ilya asking for a quick call. At 12:23pm, Ilya sent a Google Meet link. Greg was told that he was being removed from the board (but was vital to the company and would retain his role) and that Sam had been fired. Around the same time, OpenAI published a blog post. - As far as we know, the management team was made aware of this shortly after, other than Mira who found out the night prior. The outpouring of support has been really nice; thank you, but please don’t spend any time being concerned. We will be fine. Greater things coming soon.

we are so back

Returning to OpenAI & getting back to coding tonight.

After learning today’s news, this is the message I sent to the OpenAI team:

Introducing GPT-4o, our new model which can reason across text, audio, and video in real time. It's extremely versatile, fun to play with, and is a step towards a much more natural form of human-computer interaction (and even human-computer-computer interaction):

First @NVIDIA DGX H200 in the world, hand-delivered to OpenAI and dedicated by Jensen "to advance AI, computing, and humanity":

We are going to build something new & it will be incredible. Initial leadership (more soon): @merettm @sidorszymon @aleks_madry @sama @gdb The mission continues.

Announcing Sora — our model which creates minute-long videos from a text prompt: openai.com/sora

Prediction: 2023 will make 2022 look like a sleepy year for AI advancement & adoption.

building this together ❤️

❤️

good to be back

longest vacation of my life complete. back to building @OpenAI.

ChatGPT Voice rolled out for all free users. Give it a try — totally changes the ChatGPT experience:

Plugins for processing a video clip, no ffmpeg wizardry required. Actual use-case from today's launch.

Thank you to President Trump for announcing Stargate Project with us today. $500B for AI data centers for OpenAI, built in the US. 🇺🇸

first meeting back, with the ChatGPT for Business team!

sometimes there is no way to debug besides staring at the code until you become enlightened

We’re partnering with Apple to integrate ChatGPT right into iOS, iPadOS, and macOS. Will be available later this year, very excited!

One of the least-appreciated skills in programming is writing anti-frustrating error messages. A good error message should make it self-evident (a) what the user did, (b) what acceptable inputs are, and (c) how to fix the problem. Can determine love or hate for your library.

pair programming is very high leverage — you don’t just get the immediate task done, but also teach someone to be able to do it themselves

I’m taking a sabbatical through end of year. First time to relax since co-founding OpenAI 9 years ago. The mission is far from complete; we still have a safe AGI to build.

We've just announced plans for an OpenAI office in New Delhi:

❤️

Happy birthday ChatGPT! One year ago we released what we intended to be a “low-key research preview” expecting that the real moment of excitement would be GPT-4 launch. Became all-hands-on-deck scaling effort—GPU efficiency, db, even auth. Thank you everyone for your passion!

Amazing progress made today. We will come back stronger & more unified than ever:

Incredible gratitude to @satyanadella, @kevin_scott, & the Microsoft team for their unwavering support during this trying chapter.

i un-quit

An agent which learned to play Mario without rewards. Instead, it was incentivized to avoid "boredom" (that is, getting into states where it can predict what will happen next). Discovered warp levels, how to defeat bosses, etc. More details: blog.openai.com/reinforcemen…

We’ve added initial support for ChatGPT plugins — a protocol for developers to build tools for ChatGPT, with safety as a core design principle. Deploying iteratively (starting with a small number of users & developers) to learn from contact with reality: openai.com/blog/chatgpt-plug…

💛

OpenAI o1 — our first model trained with reinforcement learning to think hard about problems before answering. Extremely proud of the team! This is a new paradigm with vast opportunity. This is evident quantitatively (eg reasoning metrics are already a step function improved) and qualitatively (eg faithful chains of thought make models interpretable by letting you “read the model’s mind” in plain English). One way to think about this is that our models do System I thinking, while chains of thought unlock System II thinking. People have discovered a while ago that prompting the model to “think step by step” boosts performance. But training the model to do this, end to end with trial and error, is far more reliable and — as we’ve seem with games like Go or Dota — can generate extremely impressive results. It’s still early days for the o1 technology. It provides new safety opportunities which we are exploring actively, including on reliability, hallucinations, and robustness to adversarial attackers. For example, we’ve seen great uplift in our safety metrics by letting the model reason about policies via chain of thought. Its accuracy also has huge room for further improvement— for example, from our launch post, our model achieved 49th percentile / 213 points in this year’s competitive programming Olympiad (IOI) under human conditions of 50 submissions per problem. But with 10,000 submissions per problem, the model achieved a score of 362.14 — above the gold medal threshold. So the model is capable of even greater outputs than it appears at first glance.

Just released gpt-oss: state-of-the-art open-weight language models that deliver strong real-world performance. Runs locally on a laptop!

A GPT-4o generated image — so much to explore with GPT-4o's image generation capabilities alone. Team is working hard to bring those to the world.

We’re releasing GPT-4 — a large multimodal model (image & text in, text out) which is a significant advance in both capability and alignment. Still limited in many ways, but passes many qualification benchmarks like the bar exam & AP Calculus: openai.com/research/gpt-4

ChatGPT now can analyze, manipulate, and visualize molecules and chemical information via the RDKit library. Useful for scientific work across health, biology, and chemistry.

flow state while coding never gets old

thankful to be working on the most important mission in the world, with a team who is family

Being willing to ask dumb questions is a superpower. Often by far the fastest way to get oriented in a new domain, and though perhaps counterintuitive, experts tend to love it when people genuinely want to learn about their passion area.

❤️❤️❤️

2025 is the year of agents.

more fun than ever to be a software engineer

the mission continues

Working on a professional version of ChatGPT; will offer higher limits & faster performance. If interested, please join our waitlist here: forms.gle/LMmj7wpExKv7YcX29

GPT-4 for radiology. Far from perfect, but state-of-the-art performance on some tasks: “Surprisingly, we found radiology report summaries generated by GPT-4 to be comparable and, in some cases, even preferred over those written by experienced radiologists” microsoft.com/en-us/research…

ChatGPT Go — a new low-cost subscription plan initially launching in India at ₹399/month (~$4.55 USD). 🇮🇳

I'm hearing more and more stories of ChatGPT helping people fix longstanding health issues. We still have a long way to go, but shows how AI is already improving people's lives in meaningful ways.

We're piloting ChatGPT Plus, a $20/mo subscription for faster response times and reliability during peak hours: openai.com/blog/chatgpt-plus…

that feeling when you finally understand a piece of previously inscrutable code

A reason we need beneficial AGI: After five years of pain across many systems in her body (a broken foot from stepping off a curb, debilitating migraines, fatigue, joint pain and instability, etc), my wife was recently diagnosed with a genetic disorder called Hypermobile Ehlers-Danlos Syndrome (hEDS). Because the medical system is designed for individual specialties while hEDS affects every system in her body (orthopedics, cardiology, neurology, gastroenterology, dermatology, etc), we spent five years seeing more doctors and specialists than in her whole life prior. Most doctors would only focus on what was relevant to their own specialty. We were lucky that her allergist (!!) put together the pieces after observing and hearing her full set of symptoms and issues. As human medicine has progressed, it seems like we increase doctors’ depth at the expense of breadth. We need better tools to be able to deliver depth and breadth simultaneously to patients. This is one promise of AGI if built right — reliable, individualized, affordable healthcare in your pocket, like a panel of today’s top doctors across every speciality working together in concert to keep you healthy (and without you needing to fax forms between them). There’s still a long way to go on the technology and on learning how to deploy it beneficially along with appropriate professional human oversight in high-stakes areas like medicine, but the promise is getting increasingly clear. Thoughtfully approached by technology developers, healthcare providers, governments, and society, there’s hope for much better care for every member of all of our families (including our non-human furry ones).

💯 Cannot overstate the level of pride & respect I feel for @miramurati @bradlightcap @jasonkwon and the rest of the leadership team for their response to this crisis. One team, one mission.

A surprisingly hard part of my break is beginning—the FOMO for everything happening at OpenAI right now. Lots of results cooking. I’ve poured my life for the past 9 years into OpenAI, including the entirety of my marriage. Our work is important to me, but so is life. I feel ok taking this time in part because our research, safety, and product progress is so strong. I’m super grateful for the team we’ve built and its unprecedented talent density, and proud of our progress. Looking forward to completing our mission together.

Something that made a large impression on me when I started coding — each day when you're done working, you just save your work & it's there forever. Very unlike building something physical where your artifact can break, or math where daily progress is usually your mental state.

It is hard to describe how much you learn by actually doing — by carefully considering all factors, making a decision, and then taking responsibility for the outcome. Unlocks wisdom that cannot be arrived at any other way.

Coding is so much fun I still find it incredible that it’s a valid job.

Sora for artists and filmmakers:

iteration speed is a superpower

o1 is a different kind of model. great performance requires using it in a new way relative to standard chat models.

still can't get over the magic that is programming

Prediction: 2024 will feel like a breakthrough year in terms of AI capability, safety, and general positivity about its potential impact. In the longer term, it'll look like just one more year on an exponential that can make everyone's lives better than anyone's today.

Next-step prediction is beautiful because it encourages, as a model gets extremely good, learning the underlying process that produced that data. That is, if a model can predict what comes next super well, it must be close to having discovered the "underlying truth" of its data.

difficult skill for both humans and AIs:

Personal energy management is as important as any technical skill.

OpenAI Japan — こんにちは!

there's a simple joy in staying up late to finish one last feature

I have immense gratitude to Ilya for being my co-founder, my friend, and the officiant at my civil ceremony. Together, we charted the path of what OpenAI would become today. When we started in late 2015, OpenAI was a non-profit with a mission to make AGI go well but without a credible plan of how to accomplish it. In the early days, Ilya and I spent countless hours thinking hard about every aspect of culture, technical direction, and strategy. Together we realized that we would need to raise a lot more capital than anyone had imagined in order to build supercomputers of unprecedented size. We fundraised together in the non-profit, raising more than others thought possible but still far less than what was needed. We proposed creating a for-profit structure in service of the mission. And once that had been created, we continued to align and shape what that company stood for, maintaining the focus on our AGI mission while grappling with the hard practical questions of how to make progress each day. Ilya is an artist. His vision and gusto are infectious, and he helped me understand this field when I was just getting started. He is unafraid of thinking through the logical conclusion of his intuitions. We were motivated by the 1962 book Profiles of the Future, which opens with descriptions of the incorrect mindsets that led to scientific claims of the impossibility of the lightbulb, flight, and reaching orbit shortly before these feats were accomplished. So despite people doubting that AGI was anywhere on the foreseeable horizon, we would think through and act on the conviction of our beliefs that deep learning can take us there. The mission is far from complete, and Ilya played a key role in helping build the foundations of what OpenAI has become today. Thank you for everything.

a taste of what AI agent interaction will be like

the chatgpt browser, Atlas, is here:

One my best programming learning experiences was git core development. Making useful changes to git meant rapidly gaining deep understanding of how an often-inscrutable system works. Even found & fixed a security vulnerability! In general, programming rewards learning by doing.

team has been working super hard, excited for tmrw!

hard to beat flow state at midnight while working on a worthy problem

AGI before reliable headphone pairing.

super cool to compare the outputs from GPT-1 through GPT-5, given the same prompt: progress.openai.com/

DALL-E API now live: openai.com/blog/dall-e-api-n…

Kind of crazy that a computing device designed for desktop gaming has become critical to the emergence of super useful AI systems.

AI product adoption is fast.

Yesterday, my wife and I laid to rest our cat son, Darth. Our hearts are hurting. We will always miss and love him. Two years ago, he was diagnosed with osteosarcoma in his front leg. We had his limb removed, and he thrived as a hopping tripod. A year later, in his annual chest x-ray, we were shocked to learn his cancer had metastasized and that he had 4-6 weeks. We vowed to make every day he had left as peaceful and loving as possible. Out of sheer force of will and love, Darth fought his very aggressive cancer without medical intervention to give his family a whole extra year with him. His illness won't define him. His mom and I will always remember him for his incredible sweetness, his hilarious hiding abilities while reappearing only for his favorite humans, and his love for his yellow catnip bananas, grandma's lettuce, high places, cheek massages, and for always being nearby. We are grateful to be his parents.

18 team meetings and 1:1s today. Continue to be blown away by the level of everyone’s focus and grit.

Love the energy of the OpenAI team the day before a launch.

if you don't know how to solve a problem, start by solving a lesser version of it

just found the bug that i've been chasing for the past while. extremely happy!

to program, first clear your mind

Meeting with our recruiting team this morning:

❤️❤️❤️

Love the feeling of coding until you get so tired thinking becomes slow, and then you go to sleep knowing you’ll be refreshed and right back at it in the morning.

Code is a liability, not an asset. So goal of software engineer is delivering the maximum amount of desired functionality at the cost of the least amount of code complexity, even as desired functionality evolves over time.

Congratulations to President Trump! I’m encouraged by the tech-forwardness of his campaign. Leading in technology generally—and AI in particular—is how America can continue to lead the world and protect democratic values. Looking forward to working with his administration. 🇺🇸

the feeling when you finally localize a bug to a small section of code, and know it's only a matter of time till you've squashed it

Reddit thread on real-life problems people needed GPT-4 to solve, e.g. parents using it to translate an emotional letter into a clear one explaining to a school their child was being bullied: teddit.net/r/OpenAI/comments…

❤️ Definitely know what I’m thankful for this year.

Live demo of some new work, Monday 10a PT. Not GPT-5 or a search engine, but we think you’ll like it.

o3, our latest reasoning model, is a breakthrough, with a step function improvement on our hardest benchmarks. we are starting safety testing & red teaming now.

DALL-E — our new neural network for generating images from text: openai.com/blog/dall-e/

Big takeaway from the GPT paradigm is that the world of text is a far more complete description of the human experience than almost anyone anticipated.

building is fun; seeing what you've built get used by others is indescribable

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

hbd chatgpt 🎂🔬💬🍓🎉

GPT-4 Vision for creating a working UI by just drawing it:

People often ask if ML or software skills are more the bottleneck to AI progress. It’s the wrong question—both are invaluable, and people with both sets of skills can have outsized impact. We find it easier, however, to teach people ML skills as needed than software engineering.

while programming with AI, hard to decide whether to be inspired by how much it does, or annoyed by any manual work left for you to do