i love the openai team so much

I deeply regret my participation in the board's actions. I never intended to harm OpenAI. I love everything we've built together and I will do everything I can to reunite the company.

once see this you can’t unsee it: the light-blue shading that puts grok-3 over o3-mini is cons@64

We just released new embeddings at a ridiculously low price! For $40 one can embed all Joe Rogan podcast's transcripts (100k pages of text!) - who will go viral by building a semantic search for it? This is better, and 150x cheaper than previous models! openai.com/blog/new-and-impr…

You can ask 4o for a depth map

I am on an H-1B, in the process of getting my green card and relocating my family to the US. Me and many other colleagues in a similar situation have signed this letter. I do not know what will happen next, but I am confident we will be taken care of. the board should resign.

New researsh shows ice is slippery because of electrical charges — not pressure and friction. For almost 200 years, the prevailing explanation for ice’s slipperiness was that friction or pressure from a skate, boot, or tire melted a microscopic film of water on the surface, creating a lubricating layer. A new study from Saarland University has overturned that long-standing idea. Instead, the true cause lies in the electric fields generated by molecular dipoles. When any object contacts ice, the partial charges in its own molecules interact with the highly ordered dipole arrangement of water molecules in the ice crystal. This electrostatic tug-of-war loosens the topmost layer of the ice lattice, transforming it into a thin, disordered, quasi-liquid film—without any need for heat or significant pressure. Remarkably, this self-lubrication mechanism works even at temperatures approaching absolute zero, where thermal energy is virtually absent and conventional pressure-melting or frictional heating theories completely break down. In those extreme conditions, ice remains slippery simply because its surface molecules are electrically vulnerable. The discovery fundamentally rewrites our understanding of one of nature’s most familiar phenomena. Beyond settling a centuries-old debate, it has immediate practical implications: from designing better winter tires and non-slip surfaces that actually work on ice, to engineering superior skis, ice skates, and even advanced nanomaterials that perform reliably in cryogenic environments. By revealing the dominant role of intermolecular electric forces, the research opens entirely new avenues for controlling friction and adhesion at the molecular scale—potentially transforming fields from winter sports equipment to aerospace and nanotechnology. ["Cold Self-Lubrication of Sliding Ice", Physical Review Letters, 2025]

Off-topic: the Witcher 4 looks stunning

One nice thing you can do with an interactive world model, look down and see your footwear ... and if the model understands what puddles are. Genie 3 creation.

they omitted o3 from the chart in the livestream for some reason so i added the numbers for you

Majorly improved GPT-4 Turbo model available now in the API and rolling out in ChatGPT.

Livestream in 4.5 hours.

This is insane. This is what I’ve been alluding to for months now. This is an epochal transformative technology that will soon touch - and radically transform - ALL knowledge work. If most of your work involves sitting in front of a computer, you will be disrupted very, very soon.

gpt-oss is a big deal; it is a state-of-the-art open-weights reasoning model, with strong real-world performance comparable to o4-mini, that you can run locally on your own computer (or phone with the smaller size). We believe this is the best and most usable open model in the world. We're excited to make this model, the result of billions of dollars of research, available to the world to get AI into the hands of the most people possible. We believe far more good than bad will come from it; for example, gpt-oss-120b performs about as well as o3 on challenging health issues. We have worked hard to mitigate the most serious safety issues, especially around biosecurity. gpt-oss models perform comparably to our frontier models on internal safety benchmarks. We believe in individual empowerment. Although we believe most people will want to use a convenient service like ChatGPT, people should be able to directly control and modify their own AI when they need to, and the privacy benefits are obvious. As part of this, we are quite hopeful that this release will enable new kinds of research and the creation of new kinds of products. We expect a meaningful uptick in the rate of innovation in our field, and for many more people to do important work than were able to before. OpenAI’s mission is to ensure AGI that benefits all of humanity. To that end, we are excited for the world to be building on an open AI stack created in the United States, based on democratic values, available for free to all and for wide benefit.

What do you call it?

rollout completed early, amazing work by the team! (except for jurisdictions that require additional external review)

12 days. 12 livestreams. A bunch of new things, big and small. 12 Days of OpenAI starts tomorrow.

Deep research is now rolling out to all ChatGPT Plus, Team, Edu, and Enterprise users 🍾

Friend who is a doctor told me everyone in his hospital uses ChatGPT now. Me: “Do you all use o3?” Him: “No, 4o. Isn’t it best to use the latest model? 4 vs 3?” @OpenAI we really gotta fix these model names 🤦‍♂️

Announcing The Stargate Project The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies. The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman. Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements. As part of Stargate, Oracle, NVIDIA, and OpenAI will closely collaborate to build and operate this computing system. This builds on a deep collaboration between OpenAI and NVIDIA going back to 2016 and a newer partnership between OpenAI and Oracle. This also builds on the existing OpenAI partnership with Microsoft. OpenAI will continue to increase its consumption of Azure as OpenAI continues its work with Microsoft with this additional compute to train leading models and deliver great products and services. All of us look forward to continuing to build and develop AI—and in particular AGI—for the benefit of all of humanity. We believe that this new step is critical on the path, and will enable creative people to figure out how to use AI to elevate humanity.

This week, ChatGPT is on track to reach 700M weekly active users — up from 500M at the end of March and 4× since last year. Every day, people and teams are learning, creating, and solving harder problems. Big week ahead. Grateful to the team for making ChatGPT more useful and delivering on our mission so everyone can benefit from AI.

OpenAI quietly launched Whisper V2 in a GitHub commit. github.com/openai/whisper/co…

Deep research is now rolling out to all ChatGPT Plus, Team, Edu, and Enterprise users 🍾

i loved my time at openai. it was transformative for me personally, and hopefully the world a little bit. most of all i loved working with such talented people. will have more to say about what’s next later. 🫡

Today, we at @OpenAI achieved a milestone that many considered years away: gold medal-level performance on the 2025 IMO with a general reasoning LLM—under the same time limits as humans, without tools. As remarkable as that sounds, it’s even more significant than the headline 🧵

This cat has very clear logic. I m shocked

my new rule - if something *almost* works in an AI product - but doesn’t quite get there, for either cost or model quality / reliability reasons, set a reminder and look at it again in a month chances are it will work now

We're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond. These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math. openai.com/index/introducing…

Day 3: Something you’ve been waiting for. openai.com/12-days/?day=3

Five strawberries, but the fifth is not ripe yet 🍓 GPT-5 confirmed within 4-6 weeks 🍓

Superintelligence is within reach. Building safe superintelligence (SSI) is the most important technical problem of our​​ time. We've started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. It’s called Safe Superintelligence Inc. SSI is our mission, our name, and our entire product roadmap, because it is our sole focus. Our team, investors, and business model are all aligned to achieve SSI. We approach safety and capabilities in tandem, as technical problems to be solved through revolutionary engineering and scientific breakthroughs. We plan to advance capabilities as fast as possible while making sure our safety always remains ahead. This way, we can scale in peace. Our singular focus means no distraction by management overhead or product cycles, and our business model means safety, security, and progress are all insulated from short-term commercial pressures. We are an American company with offices in Palo Alto and Tel Aviv, where we have deep roots and the ability to recruit top technical talent. We are assembling a lean, cracked team of the world’s best engineers and researchers dedicated to focusing on SSI and nothing else. If that’s you, we offer an opportunity to do your life’s work and help solve the most important technical challenge of our age. Now is the time. Join us. Ilya Sutskever, Daniel Gross, Daniel Levy June 19, 2024

Introducing an upgraded Claude 3.5 Sonnet, and a new model, Claude 3.5 Haiku. We’re also introducing a new capability in beta: computer use. Developers can now direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking, and typing text.

We’re announcing a research collaboration with @CFS_energy, one of the world’s leading nuclear fusion companies. Together, we’re helping speed up the development of clean, safe, limitless fusion power with AI. ⚛️

Many of us have worked with @sama and @gdb for years. They are some of the kindest and highest integrity people there are. Of course we’ll join them. 3 board members, who never engage internally, have had 3 days to tell their story, and they’ve kept quiet. There’s nothing there.

The secret behind Gemini 3? Simple: Improving pre-training & post-training 🤯 Pre-training: Contra the popular belief that scaling is over—which we discussed in our NeurIPS '25 talk with @ilyasut and @quocleix—the team delivered a drastic jump. The delta between 2.5 and 3.0 is as big as we've ever seen. No walls in sight! Post-training: Still a total greenfield. There's lots of room for algorithmic progress and improvement, and 3.0 hasn't been an exception, thanks to our stellar team. Congratulations to the whole team 💙💙💙

Today, we're announcing a preview of ARC-AGI-3, the Interactive Reasoning Benchmark with the widest gap between easy for humans and hard for AI We’re releasing: * 3 games (environments) * $10K agent contest * AI agents API Starting scores - Frontier AI: 0%, Humans: 100%

GPT-5-Codex already ~40% of traffic for codex! should be the majority some time today.

Our open models are here. Both of them. openai.com/open-models

Absolutely insane use case for ChatGPT 5 Pro: "help me figure out how much sunlight hits {home address}." Thought for nearly 17 minutes (total across 3 queries), used multiple sources including Project Sunroof, photos from Zillow, historic averages of sunlight in the area, and more. The first result 👇