Smash Notes

Back to Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon, with Stefano Ermon.

Are Inception's Mercury Models Faster Than Haiku?

Stefano Ermon says Inception's Mercury models are on par with the Haiku models, the Flash models, and OpenAI's mini and nano models on benchmarks, while being significantly faster. Inception is serving those diffusion-based language models in production.

Getting diffusion to write text took new research. Image diffusion denoises continuous data, and two pixel colors can still be interpolated. Two words do not have a point between them, so the same idea had to be extended to discrete objects. Once that worked, Mercury moved from a research prototype to a model customers use.

Diffusion language models cannot run on vLLM or SGLang. Inception built its own serving engine so it can handle production workloads and deliver the models to customers.

Transcript

Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon ·

No Priors: Artificial Intelligence | Technology | Startups

More from this episode

  1. How Do Diffusion Models Write Text Faster Than Autoregressive Models?Stefano Ermon says a diffusion model generated text 10x faster than an autoregressive model with the same number of parameters, because it outputs many tokens…
  2. How Does a Diffusion Language Model Trade Compute for Quality?Stefano Ermon says a diffusion-based model gives Inception many ways to trade compute for quality at inference time.
  3. Can Diffusion Models Match Cerebras Speed on NVIDIA GPUs?Stefano Ermon says a diffusion language model can match the speed of an autoregressive model on custom hardware while running on NVIDIA GPUs.
  4. How Do Diffusion Models Learn Structure by Compressing Data?Stefano Ermon says training a generative model finds structure in data by building a compression scheme.
  5. Are Diffusion Models Easier to Control Than Autoregressive Models?Stefano Ermon says diffusion models are typically easier to control than autoregressive models.
  6. Why Didn't Inception Open Source Its Diffusion Models?Stefano Ermon says Inception did not open source everything in part to keep the IP a little closer to the company.

People

More answers like this

More with Sarah Guo

Related episodes

Plays from this note through the rest of the episode.

Weekly highlights

One letter a week.

The notes worth hearing, with the minute they were said.