FlexiLingo
Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon
- 访谈
- 科技
As generative AI hits hardware and latency bottlenecks, Stanford professor, diffusion pioneer, and Inception co-founder and CEO Stefano Ermon is betting on a radical new architecture. Stefano joins Sarah Guo to talk about Inception, and how his team is applying diffusion architecture beyond images and video into discrete text and code generation. Stefano explains the limitations of autoregressive LLMs, as well as why parallel token generation in diffusion models offers superior inference scaling and hardware utilization on standard GPUs. He also shares details about Inception’s Mercury models, real-world voice agent applications, the software stack required to serve diffusion-based mo...
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B2 · 中高级
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broad body of work around generative modeling, but is especially well known as one of the
.
and efficiency are going to be the name of the game in AI over the next few years.
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这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 80% 的单词在 B1 或更简单的水平。
- 每分钟 171 词：自然语速，偏快。
- 整集共有 180 个较难的单词（B2 及以上）。
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本集开头部分。完整文字稿在播放器中。
较难的单词（B2+）
Hi, listeners. Welcome back to No Priors. Today, I'm here with Stefano Ermon, who is a longtime Stanford professor and now co-founder and CEO of Inception. Stefano has an extraordinarily broad body of work around generative modeling, but is especially well known as one of the fathers of diffusion. We talk about his company challenging the large labs and why speed
and efficiency are going to be the name of the game in AI over the next few years. Welcome Stefano. Stefano, thanks so much for being here. Great to be here.
I would love for us to just start with a little bit of your research background and how you ended up starting your company. For sure, yeah. I've been doing research in generative models for like basically my entire career.
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