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OpenAI is nothing without its people

I shared the following note with the OpenAI team today.

I started Thinking Machines Lab alongside a remarkable team of scientists, engineers, and builders. We're building three things: - Helping people adapt AI systems to work for their specific needs - Developing strong foundations to build more capable AI systems - Fostering a culture of open science that helps the whole field understand and improve these systems Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science, and practical applications. https://t.co/y2Bbl6BKF9

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In just 5 days since launch, ChatGPT has reached over 1M users. Thank you for your feedback to help us improve the platform!

Thinking Machines Lab exists to empower humanity through advancing collaborative general intelligence. We're building multimodal AI that works with how you naturally interact with the world - through conversation, through sight, through the messy way we collaborate. We're excited that in the next couple months we’ll be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom models. Soon, we’ll also share our best science to help the research community better understand frontier AI systems. To accelerate our progress, we’re happy to confirm that we’ve raised $2B led by a16z with participation from NVIDIA, Accel, ServiceNow, CISCO, AMD, Jane Street and more who share our mission. We’re always looking for extraordinary talent that learns by doing, turning research into useful things. We believe AI should serve as an extension of individual agency and, in the spirit of freedom, be distributed as widely and equitably as possible.  We hope this vision resonates with those who share our commitment to advancing the field. If so, join us. https://t.co/EaAKidpany

Today we launched Tinker. Tinker brings frontier tools to researchers, offering clean abstractions for writing experiments and training pipelines while handling distributed training complexity. It enables novel research, custom models, and solid baselines. Excited to see what people build.

🚢ing

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

A big part of our mission at Thinking Machines is to improve people’s scientific understanding of AI and work with the broader research community. Introducing Connectionism today to share some of our scientific insights.

We’re sharing Sora, text-to-video model that creates min long insanely magical scenes

Today we rolled out OpenAI o1-preview and o1-mini to all ChatGPT Plus/Team users & Tier 5 developers in the API. o1 marks the start of a new era in AI, where models are trained to "think" before answering through a private chain of thought. The more time they take to think, the better they handle complex reasoning. We're no longer limited by pretraining paradigm; now, we can scale through inference compute, opening up new possibilities for capabilities and alignment. Chain-of-thought offers new opportunities for advances in safety and alignment research by making the model's reasoning transparent—allowing us to observe its thought process step by step—and enabling it to actively reason about safety rules, which makes it more resilient in unexpected or novel situations. Looking forward to seeing what you build, create, and discover.

We have parted ways with Barret Zoph. Soumith Chintala will be the new CTO of Thinking Machines. He is a brilliant and seasoned leader who has made important contributions to the AI field for over a decade, and he’s been a major contributor to our team. We could not be more excited to have him take on this new responsibility.

OpenAI is nothing without its people

I shared the following note with the OpenAI team today.

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

I started Thinking Machines Lab alongside a remarkable team of scientists, engineers, and builders. We're building three things: - Helping people adapt AI systems to work for their specific needs - Developing strong foundations to build more capable AI systems - Fostering a culture of open science that helps the whole field understand and improve these systems Our goal is simple, advance AI by making it broadly useful and understandable through solid foundations, open science, and practical applications. https://t.co/y2Bbl6BKF9

Thinking Machines Lab exists to empower humanity through advancing collaborative general intelligence. We're building multimodal AI that works with how you naturally interact with the world - through conversation, through sight, through the messy way we collaborate. We're excited that in the next couple months we’ll be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom models. Soon, we’ll also share our best science to help the research community better understand frontier AI systems. To accelerate our progress, we’re happy to confirm that we’ve raised $2B led by a16z with participation from NVIDIA, Accel, ServiceNow, CISCO, AMD, Jane Street and more who share our mission. We’re always looking for extraordinary talent that learns by doing, turning research into useful things. We believe AI should serve as an extension of individual agency and, in the spirit of freedom, be distributed as widely and equitably as possible.  We hope this vision resonates with those who share our commitment to advancing the field. If so, join us. https://t.co/EaAKidpany

ChatGPT app for iOS now in 🇦🇱🇭🇷🇫🇷🇩🇪🇮🇪🇯🇲🇰🇷🇳🇿🇳🇮🇳🇬🇬🇧 and more to come soon!

🚢ing

One year since GPT-4 deployment: From GPT-1 and 2 establishing the language model paradigm, through GPT-3's scaling predictions, to GPT-4 showing how complex systems emerge, mimicking nature’s unpredictable patterns from simple elements. An exploration from observation to deep,

We have parted ways with Barret Zoph. Soumith Chintala will be the new CTO of Thinking Machines. He is a brilliant and seasoned leader who has made important contributions to the AI field for over a decade, and he’s been a major contributor to our team. We could not be more excited to have him take on this new responsibility.

In just 5 days since launch, ChatGPT has reached over 1M users. Thank you for your feedback to help us improve the platform!

💙

All Plus and Team users in ChatGPT

Today we rolled out OpenAI o1-preview and o1-mini to all ChatGPT Plus/Team users & Tier 5 developers in the API. o1 marks the start of a new era in AI, where models are trained to "think" before answering through a private chain of thought. The more time they take to think, the better they handle complex reasoning. We're no longer limited by pretraining paradigm; now, we can scale through inference compute, opening up new possibilities for capabilities and alignment. Chain-of-thought offers new opportunities for advances in safety and alignment research by making the model's reasoning transparent—allowing us to observe its thought process step by step—and enabling it to actively reason about safety rules, which makes it more resilient in unexpected or novel situations. Looking forward to seeing what you build, create, and discover.

Today we launched Tinker. Tinker brings frontier tools to researchers, offering clean abstractions for writing experiments and training pipelines while handling distributed training complexity. It enables novel research, custom models, and solid baselines. Excited to see what people build.