
Stefano Ermon
@StefanoErmon
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AI Prof @Stanford | CEO & Cofounder @InceptionAILabs | Co-inventor of DDIM, FlashAttention, DPO, GAIL, and score-based/diffusion models
Stanford, CA
Joined February 2013
We’re in! We are now part of the #AWSGenAIAccelerator2025. We’re looking forward to working with @AWSstartups to help us deliver ultra-fast and efficient diffusion large language models.
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Mercury Coder now supports Apply-Edit capabilities, providing quality on par with GPT-5 at speeds 46x faster!
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I’m excited to announce micro1 has raised a $35M Series A, valuing us at $500M. This round was led by 01A with @adambain joining our board of directors. We’re grateful to be partnering with leading AI Labs & fortune 10s, such as Microsoft, to train frontier LLMs. We’re just
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Congratulations @adityagrover_ ! A well-deserved recognition of your groundbreaking work
Our cofounder @adityagrover_ is one of MIT Technology Review's 35 Innovators Under 35, which recognizes the top young innovators around the world!! https://t.co/mMX0IkewNn
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Thrilled to see @inceptionAILabs Mercury Coder in action 🚀 The first diffusion language model for code, now powering Next Edit’s lightning-fast real-time suggestions!
Code editing just got a lot faster.⚡Introducing Next Edit⚡ Next Edit delivers real-time, multi-line suggestions at up to 1100 tokens/sec, powered by @inceptionAILabs Mercury Coder, the world’s first commercial-scale diffusion LLM for code.
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Mercury and Mercury Coder are now available on Amazon Bedrock and SageMaker JumpStart! These services enable you to deploy Mercury models at scale in a robust, secure environment.
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Huge milestone from the team! A blazing-fast diffusion LLM built for chat, delivering real-time performance at commercial scale. If you liked Mercury Coder for code, you'll love this for conversation.
We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.
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We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.
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#CVPR2025 "Personalized Preference Fine-tuning of Diffusion Models". We extend DPO to align text-to-image diffusion models with individual user preferences. At test time, it generalizes to unseen users from just few-shot examples — moving toward pluralistic alignment.
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👋We’re excited to launch DSG2-mini, our newest AI protein design model, now available in DiffuseSandbox⏳🎁, our new app for protein binder design. Click through to design a protein yourself! https://t.co/h8CKF4kwGI 1/
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1/ Model architectures have been mostly treated as fixed post-training. 🌱 Introducing Grafting: A new way to edit pretrained diffusion transformers, allowing us to customize architectural designs on a small compute budget. 🌎 https://t.co/fjOTVqfVZr Co-led with @MichaelPoli6
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Proud advisor moment 🎉 Huge congratulations to @adityagrover_
Announcing the 2025 IJCAI Computers and Thought Award winner ✨Aditya Grover @adityagrover_, @InceptionAILabs @UCLA. Dr. Grover is honored for uniting deep generative models, representation learning & RL to advance scientific reasoning. Congratulations! https://t.co/Z3xESFizpi
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🚀 Beyond thrilled to join forces with @Microsoft as a founding partner of #NLWeb! Our ultra-fast Mercury diffusion LLM is powering lightning-quick, natural conversations for every website. The future of web interaction just got a major speed boost ⚡️
At the #microsoftbuild keynote, Satya Nadella unveiled NLWeb – an open project that enables websites to easily create AI-powered natural language interfaces. We are incredibly excited to be one of NLWeb’s founding partners, using our ultra-fast Mercury Small diffusion Large
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Thanks for testing the models! Excited to hear the results are so strong!
Our full results for @InceptionAILabs Mercury model. Key takeaways: 🧮Seems to do extremely well on mathematics and coding. ⏩Is extremely fast, with a low latency for most evals. Again, a great job by the @InceptionAILabs team!
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WOW. Mercury coder feels almost as fast as models on Groq, but it runs on consumer hardware. Just wait till the @GroqInc team gets this on their platform... you'll be able to generate nicely-sized codebases in seconds. It's going to be insane.
1/ ⚡️ Exciting new model from @InceptionAILabs: Mercury Coder The first diffusion-powered LLM on OpenRouter. Rivals GPT-4o mini & Claude 3.5 Haiku in quality, yet runs much faster, with twice the throughput: 320 TPS right now!
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Watch the Mercury diffusion LLM in action 🧑💻 In this video, we vibe code a ViT in PyTorch using VS Code + Continue. The model nearly instantaneously generates big blocks of code based on user instructions.
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<mask> <mask> <mask> <mask> <mask> <mask> <mask> API <mask> out <mask> API Check out <mask> API Check out our API
We are launching our API in open beta! Visit the Inception Platform to create your account and get started using the first commercial-scale diffusion large language models (dLLMs). https://t.co/joTqBB0cZ4
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@InceptionAILabs Mercury Coder Small Beta is now available in Cline. It's the first commercial diffusion LLM (dLLM), offering a different approach to text generation. It rivals models like Claude 3.5 Haiku and GPT-4o Mini in code quality while running significantly faster. 🧵
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