MIT CSAIL Explains: Recursive Language Models
Alex Zhang, Graduate Student | MIT EECS CSAIL https://alexzhang13.github.io/blog/20... DIrector: Rachel Gordon Preditor: Tim Malieckal Script Supervisor: Alex Shipps Chapters: 00:00 - Introduction 00:27 - LMs are more capable than we’ve realized 01:27 - What is a Recursive Language Model? 02:41 - What does your approach do that people are missing? 04:00 - What does treating a prompt as an environment enable? 05:36 - How does a RLM know what is worth looking at, and what isn’t? 07:30 - What does it take to build a RLM? 08:29 - An example of what a RLM can achieve that was out of reach before? 10:09 - Explain the ‘mismanaged genius’ hypothesis 11:33 - How does a RLM keep errors from compounding over many steps? 12:28 - How do RLMs fit into a multi-agent landscape?
Ep. 40: Alex Zhang, Recursive Language Model Creator and MIT CSAIL PhD Student
LLMs Don't Need More Parameters. They Need Loops.
IVADO - Engineering Trusted Reinforcement Learning Agents
Recursive Language Models (RLMs) - Let's build the coolest agents ever! (Theory & Code)
Yann LeCun's $1B Bet Against LLMs
Recursive Language Models w/ Alex Zhang
Is RAG Still Needed? Choosing the Best Approach for LLMs
The Most Counterintuitive Way to Build a Brain
Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
Why This Is the Most Exciting Time to Be Human | Ken Ono, Axiom Math
MIT CSAIL Explains: Large Language Models: Part 1
Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan
Everything I Learned Training Frontier Small Models — Maxime Labonne, Liquid AI
🇩🇪 German industry JUST died (it’s WORSE than you think)
Terence Tao: Nobody Understands Why AI Actually Works
The Brain’s Learning Algorithm Isn’t Backpropagation
Conan O’Brien Delivers the Commencement Address | Harvard Commencement 2026
Turing Award Winner: P vs NP, Zero-Knowledge Proofs, Quantum Computation | Avi Wigderson
MIT Prof. Explains How AI Can (& Can't) Help w/Coding: Part 1
