Cover Image for Inception @ COLM 2026
Cover Image for Inception @ COLM 2026
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Inception @ COLM 2026

Hosted by Jessica Dodd
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San Francisco, CA
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About Event

​About the Event

​Join Inception during COLM 2026 for happy hour, featuring refreshments and light bites. Meet our team and connect with others across the research community.

​We recently launched Mercury 2.5, our most capable diffusion language model yet. Mercury 2.5 delivers a 40% increase in intelligence over Mercury 2 while maintaining the speed that defines Mercury, generating more than 1,100 tokens per second on widely available NVIDIA GPUs.

​Come meet the Inception team, learn more about what we're building, and connect with researchers and engineers working on the future of language models.

​This will be a closed event and RSVP is required. Space is limited, so please request to join and we’ll send a confirmation if your RSVP is approved.

​About Inception

​Inception is building the next generation of large language models using diffusion. Unlike traditional autoregressive LLMs that generate tokens sequentially, diffusion LLMs generate and refine tokens in parallel, enabling significantly faster inference.

​Our latest model, Mercury 2.5, is our most capable production model yet and, to our knowledge, the largest diffusion language model ever trained. It runs at 1,107 tokens per second, supports a 260K context window, tunable reasoning, parallel tool calls, and structured outputs. Since the launch of Mercury 2, thousands of developers have built with Mercury, dozens of enterprises have put it into production, and usage has grown more than 10x across coding, search, voice, and other latency-sensitive applications.

​We’re a team of researchers and engineers working across model training, reinforcement learning, inference, kernels, evaluation, and systems to push diffusion language models forward.

​If you’re attending COLM and interested in what comes after next-token prediction, we’d love to see you there.

​Our Founding Team

​Join Inception

​We’re hiring researchers and engineers to help us train larger models, push inference performance, and build the systems behind the next generation of diffusion language models.

​Interested in joining the team? Explore our open roles on the Inception careers page.

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San Francisco, CA
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