Shows
Practical AIImage Generation and Visual Intelligence with Black Forest LabsHow has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. Featuring:Dustin Podell – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Black Forest LabsDeveloper DashboardResearch PageFLUX.1 Kontext: Flow Matching for In-Context Image Generat...
2026-07-0248 min
AI Post TransformersELF and Continuous Language DiffusionThis episode explores ELF: Embedded Language Flows, a continuous-time diffusion language model that stays in embedding space until the final decoding step instead of repeatedly snapping back to discrete tokens during generation. It explains how that design lets the model borrow flow-matching and guidance techniques from image diffusion, while arguing that earlier continuous text models may have underperformed because of token-level constraints rather than any fundamental weakness. The discussion highlights reported results on OpenWebText, where a 105M-parameter ELF model achieves better generative perplexity than 170M baselines with far fewer training tokens and fewer sampling steps, while also extending to translation...
2026-05-1200 min