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In this AI Research Roundup episode, Alex discusses the paper: ' Most Large Language Models (LLMs) today are based on Autoregressive models (i.e., they predict texts in a left-to-right order). Register for 3-hour AI training with GrowthSchool! Free for the first 1000 people who sign up! In this episode, we talk with Stefano Ermon, Stanford professor, co-founder & CEO of Inception AI, and co-inventor of DDIM, ...

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Celebrity MIT ELF Breakthrough: The AI Model That Doesn’t Write Word by Word Profile
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Diffusion Beats Autoregressive? MIT's ELF Challenges LLM Generation Net Worth
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Diffusion Language Models: The Next Big Shift in GenAI
LLM generates the ENTIRE output at once (world's first diffusion LLM)
ELF in 1 Minute: Language Diffusion in Continuous Embeddings
Diffusion LLM & Why the Future of AI Won't Be Autoregressive - Stefano Ermon (Stanford /Inception)
Fast & Efficient LLM Inference with vLLM-S02 Why Efficent LLM Deployment Matters
Fast-dLLM v2: Efficient Block-Diffusion LLM
3x Better DIFFUSION LLM - Loopholing Discrete Diffusion - Simple Trick
Why are diffusion LLMs so fast?
Diffusion LLM Intro By Google Engineer | Future of LLMs | Diffusion vs. Autoregressive

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Last Updated: June 10, 2026

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Celebrity ELF: Continuous Diffusion for Language Without Token-Level Supervision Profile
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