# Generating text with diffusion (and ROI with LLMs)

An episode of [The Stack Overflow Podcast](https://invisiblenetwork.ai/podcast/1483510527), 3 Feb 2026, 31 min.

Audio: https://rss.art19.com/episodes/ef68dc5e-7fda-4775-8992-9ee87faaf955.mp3?rss_browser=BAhJIhVJbnZpc2libGVOZXR3b3JrBjoGRVQ%3D--0761ee75eb25694efc17849092f8583c07f6c68b

Two guests for the price of one! This episode has two interviews recorded at AWS re:Invent back in December. In part 1, Ryan chats with the co-founder and CEO of Inception, Stefano Ermon, about diffusion language models and how their multiple token generation compares to traditional LLMs (spoiler: they’re faster and more accurate). In the second half of the episode, Ryan and the chairman of Roomie, Aldo Luevano, dive into Roomie’s purpose built models for both physical and software AI, and how their ROI-first approach helps companies track the impact of their robotics and AI implementation. Episode notes: Inception researches and builds diffusion language models for faster and more efficient AI. Roomie is a robotics and enterprise AI company with an ROI-first platform that tracks how well their AI solutions are actually working. Connect with Stefano on LinkedIn. Connect with Aldo on LinkedIn. TRANSCRIPT See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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