A Technical History of Generative Media — with Gorkem and Batuhan from Fal.ai
Research#llm📝 Blog|Analyzed: Dec 28, 2025 21:57•
Published: Sep 5, 2025 21:46
•1 min read
•Latent SpaceAnalysis
This article from Latent Space delves into the technical evolution of generative media, contrasting it with Large Language Model (LLM) inference. It features insights from Gorkem and Batuhan from Fal.ai, likely discussing the challenges and strategies involved in scaling generative media applications. The focus appears to be on the differences between generative media and LLMs, and how to achieve significant revenue through custom kernel development. The article likely explores the journey from early models like Stable Diffusion to more advanced systems like Veo3, highlighting the technical advancements and business implications.
Key Takeaways
- •Generative media is distinct from LLM inference, requiring different scaling approaches.
- •Custom kernel development is crucial for achieving high performance and potentially significant revenue.
- •The article likely traces the evolution of generative media models, highlighting key advancements.
Reference / Citation
View Original"This section would contain a direct quote from the article, likely from Gorkem or Batuhan, discussing a key technical aspect or business strategy related to generative media."