Mercury is refreshed – with across-the-board improvements in coding, instruction following, math, and knowledge recall. Start building responsive, in-the-flow AI solutions! Read more: https://t.co/QyTVaHAIue

Thanks for the shoutout to @_inception_ai, Dan! Totally agree there’s enormous headroom left in model and inference design, especially with diffusion language models🚀

Autoregressive LLMs share a structural bottleneck: they generate tokens sequentially. The AI Journal explains how dLLMs parallelize token generation and deliver high-quality responses fast enough for ultra-low latency coding and voice workflows. Proud to see Mercury featured:

🧵What if the DSM is holding psychiatry back? Modern mental health is about to radically change. Most psychiatric diagnoses today are still based on the DSM — a system built on: • symptom checklists • clinical observation • consensus categories Not objective biology.

@joycech3n from @_inception_ai on DLLM

Had the pleasure of interviewing @joycech3n from @_inception_ai at NeurIPS this week. Check out her reasoning of why latency is important!

Our CEO @StefanoErmon sat down with @CoreyNoles of @theneurondaily at #AWSreInvent to discuss how Mercury brings diffusion to language, unlocking faster, scalable, real-time AI for coding and text. They also discussed what diffusion means for the next generation of AI

The Relentless War on Masculinity by @DavidMaywald is the guide book on advocating for men and boys—proudly and effectively, driven by principles and with respect for others. It is also a manual for rebuilding healthier societies, with stronger relationships between men and

We met so many amazing people at #NeurIPS2025! Thanks @MayfieldFund for co-hosting our event!

Thanks @JayaGup10 and @FoundationCap! Wonderful conversations. It was a great event!

@StefanoErmon @_inception_ai Diffusion will obviously work on any bitstream. With text, since humans read from first word to last, there is just the question of whether the delay to first sentence for diffusion is worth it. That said, the vast majority of AI workload will be video understanding and

Mercury is now available on Azure AI Foundry! This means you can leverage Mercury's speeds with the security of a private Azure instance and all the features of the broader Azure ecosystem. Read more: https://t.co/6Hotow3ruD #dLLM #AzureAI

Tired of slow, one-word-at-a-time AI? ⏳ Our founder, @StefanoErmon, joined @acremades on the Dealmakers podcast to discuss a new foundation for AI: diffusion LLMs. Hear the story of how his Stanford lab's research led to Inception & 10x faster, parallel generation. Listen

@StefanoErmon @_inception_ai Diffusion will obviously work on any bitstream. With text, since humans read from first word to last, there is just the question of whether the delay to first sentence for diffusion is worth it. That said, the vast majority of AI workload will be video understanding and

Mercury is now much better at agentic tasks! You can try out the blazing speed of our dLLMs on your coding agents 😎 Here's a little zombie shooter game I spun up using Mercury with @goose_oss . Go ahead and diffuse w goose @_inception_ai

Mercury runs five times faster than Claude 4.5 Haiku at less than one-fourth the price, while maintaining higher quality.

Today’s LLMs are painfully slow and expensive. They are autoregressive and spit out words sequentially. One. At. A. Time. Our dLLMs generate text in parallel, delivering answers up to 10X faster. Now we’ve raised $50M to scale them. Full story from @russellbrandom in

🚀We've partnered with ProxyAI! Our Mercury Coder dLLM is now the default for ProxyAI's autocomplete, next edit, and auto apply tooling, providing developers with lightning-fast and accurate code edits. Read more: https://t.co/eWtOFVXpgk #AI #DiffusionModels #dLLM

Nice, short post illustrating how simple text (discrete) diffusion can be. Diffusion (i.e. parallel, iterated denoising, top) is the pervasive generative paradigm in image/video, but autoregression (i.e. go left to right bottom) is the dominant paradigm in text. For audio I've

Our CEO @StefanoErmon joined the Infinite Curiosity Podcast and shared how our Mercury diffusion LLMs deliver faster, cheaper models and why diffusion is reshaping coding, reasoning, and multimodal AI. Thanks for having him on @PrateekVJoshi! https://t.co/9gTrf5IEMV

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.

Honored that our co-founder @adityagrover_ has been named to the 2025 Mayfield | Divot AI List! Thank you to @MayfieldFund and @StartupGrind for the recognition alongside 50 innovators shaping the future of AI. See the full list here: