All Episodes
Interconnects — 164 episodes · page 1 of 2
The Cyber Risk Discourse is Broken
Debating RSI, the US-China Gap, and Jaggedness with JS Denain of Epoch AI
The current balance of power in open models
Why I still haven’t bought into true RSI
One resignation turned the embers of AI fear into a wildfire
When will average people feel AI’s impact?
I wrote an AI textbook — how long until AI can do it better?
Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
Kimi K3: The open-weights escalation
GLM-5.2 is the step change for open agents
Banning Open Source AI Would Be A Mistake
State of the blog, mid-2026
Frontier post-training recipe review with Finbarr Timbers
Claude Fable 5 and new AI safety fables
Farewell Ai2
Open and closed models are on different exponentials
Some ideas for what comes next, May 2026
Notes from inside China's AI labs
The distillation panic
My bets on open models, mid-2026
The inevitable need for an open model consortium
Claude Mythos and misguided open-weight fearmongering
Gemma 4 and what makes an open model succeed
Lossy self-improvement
GPT 5.4 is a big step for Codex
What comes next with open models
Dean Ball on open models and government control
Olmo Hybrid and future LLM architectures
How much does distillation really matter for Chinese LLMs?
Opus 4.6, Codex 5.3, and the post-benchmark era
Why Nvidia builds open models with Bryan Catanzaro
Thoughts on the job market in the age of LLMs
Arcee AI goes all-in on open models built in the U.S.
Get Good at Agents
Use multiple models
Claude Code Hits Different
Open models: Hot or Not with Nathan Lambert & Florian Brand
New Talk: Building Olmo 3 Think
Olmo 3: America’s truly open reasoning models
Why AI writing is mid
Interview: Ant Group's open model ambitions
5 Thoughts on Kimi K2 Thinking
Burning out
How to scale RL
The State of Open Models
Thoughts on The Curve
ChatGPT: The Agentic App
Thinking, Searching, and Acting
Coding as the epicenter of AI progress and the path to general agents
On China's open source AI trajectory
Ranking the Chinese Open Model Builders
Contra Dwarkesh on Continual Learning
GPT-5 and the arc of progress
gpt-oss: OpenAI validates the open ecosystem (finally)
Towards American Truly Open Models: The ATOM Project
Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
The White House's plan for open models & AI research in the U.S.
Kimi K2 and when "DeepSeek Moments" become normal
The American DeepSeek Project
Some ideas for what comes next (Jun. 2025)
Crafting a good (reasoning) model
The rise of reasoning machines
What comes next with reinforcement learning
How I Write
A taxonomy for next-generation reasoning models
Claude 4 and Anthropic's bet on code
People use AI more than you think
My path into AI
What people get wrong about the leading Chinese open models: Adoption and censorship
State of play of AI progress (and related brakes on an intelligence explosion)
Transparency and (shifting) priority stacks
OpenAI's o3: Over-optimization is back and weirder than ever
OpenAI's GPT-4.1 and separating the API from ChatGPT
Llama 4: Did Meta just push the panic button?
RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
Gemini 2.5 Pro and Google's second chance with AI
Managing frontier model training organizations (or teams)
Gemma 3, OLMo 2 32B, and the growing potential of open-source AI
Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
Elicitation, the simplest way to understand post-training
Where inference-time scaling pushes the market for AI companies
GPT-4.5: "Not a frontier model"?
Character training: Understanding and crafting a language model's personality
Claude 3.7 thonks and what's next for inference-time scaling
Grok 3 and an accelerating AI roadmap
An unexpected RL Renaissance
Deep Research, information vs. insight, and the nature of science
Making the U.S. the home for open-source AI
Why reasoning models will generalize
Interviewing OLMo 2 leads: Open secrets of training language models
DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
Let me use my local LMs on Meta Ray-Bans
(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models
The state of post-training in 2025
Quick recap on the state of reasoning
(Voiceover) 2024 Interconnects year in review
(Voiceover) OpenAI's o3: The grand finale of AI in 2024
(Voiceover) The AI agent spectrum
(Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning