Interconnects
By Nathan Lambert
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Episodes: 147
Description
Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories.
www.interconnects.ai
www.interconnects.ai
| Episode | Date |
|---|---|
|
The distillation panic
|
May 04, 2026 |
|
My bets on open models, mid-2026
|
Apr 15, 2026 |
|
The inevitable need for an open model consortium
|
Apr 11, 2026 |
|
Claude Mythos and misguided open-weight fearmongering
|
Apr 09, 2026 |
|
Gemma 4 and what makes an open model succeed
|
Apr 03, 2026 |
|
Lossy self-improvement
|
Mar 22, 2026 |
|
GPT 5.4 is a big step for Codex
|
Mar 18, 2026 |
|
What comes next with open models
|
Mar 16, 2026 |
|
Dean Ball on open models and government control
|
Mar 06, 2026 |
|
Olmo Hybrid and future LLM architectures
|
Mar 05, 2026 |
|
How much does distillation really matter for Chinese LLMs?
|
Feb 24, 2026 |
|
Opus 4.6, Codex 5.3, and the post-benchmark era
|
Feb 09, 2026 |
|
Why Nvidia builds open models with Bryan Catanzaro
|
Feb 04, 2026 |
|
Thoughts on the job market in the age of LLMs
|
Jan 30, 2026 |
|
Arcee AI goes all-in on open models built in the U.S.
|
Jan 27, 2026 |
|
Get Good at Agents
|
Jan 21, 2026 |
|
Use multiple models
|
Jan 11, 2026 |
|
Claude Code Hits Different
|
Jan 09, 2026 |
|
Open models: Hot or Not with Nathan Lambert & Florian Brand
|
Dec 18, 2025 |
|
New Talk: Building Olmo 3 Think
|
Dec 10, 2025 |
|
Olmo 3: America’s truly open reasoning models
|
Nov 20, 2025 |
|
Why AI writing is mid
|
Nov 17, 2025 |
|
Interview: Ant Group's open model ambitions
|
Nov 12, 2025 |
|
5 Thoughts on Kimi K2 Thinking
|
Nov 06, 2025 |
|
Burning out
|
Oct 25, 2025 |
|
How to scale RL
|
Oct 20, 2025 |
|
The State of Open Models
|
Oct 16, 2025 |
|
Thoughts on The Curve
|
Oct 07, 2025 |
|
ChatGPT: The Agentic App
|
Sep 30, 2025 |
|
Thinking, Searching, and Acting
|
Sep 22, 2025 |
|
Coding as the epicenter of AI progress and the path to general agents
|
Sep 18, 2025 |
|
On China's open source AI trajectory
|
Sep 09, 2025 |
|
Ranking the Chinese Open Model Builders
|
Aug 17, 2025 |
|
Contra Dwarkesh on Continual Learning
|
Aug 15, 2025 |
|
GPT-5 and the arc of progress
|
Aug 07, 2025 |
|
gpt-oss: OpenAI validates the open ecosystem (finally)
|
Aug 05, 2025 |
|
Towards American Truly Open Models: The ATOM Project
|
Aug 04, 2025 |
|
Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
|
Jul 29, 2025 |
|
The White House's plan for open models & AI research in the U.S.
|
Jul 23, 2025 |
|
Kimi K2 and when "DeepSeek Moments" become normal
|
Jul 14, 2025 |
|
The American DeepSeek Project
|
Jul 04, 2025 |
|
Some ideas for what comes next
|
Jun 23, 2025 |
|
Crafting a good (reasoning) model
|
Jun 18, 2025 |
|
The rise of reasoning machines
|
Jun 12, 2025 |
|
What comes next with reinforcement learning
|
Jun 09, 2025 |
|
How I Write
|
Jun 06, 2025 |
|
A taxonomy for next-generation reasoning models
|
Jun 04, 2025 |
|
Claude 4 and Anthropic's bet on code
|
May 27, 2025 |
|
People use AI more than you think
|
May 21, 2025 |
|
My path into AI
|
May 14, 2025 |
|
What people get wrong about the leading Chinese open models: Adoption and censorship
|
May 06, 2025 |
|
State of play of AI progress (and related brakes on an intelligence explosion)
|
Apr 30, 2025 |
|
Transparency and (shifting) priority stacks
|
Apr 28, 2025 |
|
OpenAI's o3: Over-optimization is back and weirder than ever
|
Apr 19, 2025 |
|
OpenAI's GPT-4.1 and separating the API from ChatGPT
|
Apr 14, 2025 |
|
Llama 4: Did Meta just push the panic button?
|
Apr 07, 2025 |
|
RL backlog: OpenAI's many RLs, clarifying distillation, and latent reasoning
|
Apr 05, 2025 |
|
Gemini 2.5 Pro and Google's second chance with AI
|
Mar 26, 2025 |
|
Managing frontier model training organizations (or teams)
|
Mar 19, 2025 |
|
Gemma 3, OLMo 2 32B, and the growing potential of open-source AI
|
Mar 13, 2025 |
|
Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
|
Mar 12, 2025 |
|
Elicitation, the simplest way to understand post-training
|
Mar 10, 2025 |
|
Where inference-time scaling pushes the market for AI companies
|
Mar 05, 2025 |
|
GPT-4.5: "Not a frontier model"?
|
Feb 28, 2025 |
|
Character training: Understanding and crafting a language model's personality
|
Feb 26, 2025 |
|
Claude 3.7 thonks and what's next for inference-time scaling
|
Feb 24, 2025 |
|
Grok 3 and an accelerating AI roadmap
|
Feb 18, 2025 |
|
An unexpected RL Renaissance
|
Feb 13, 2025 |
|
Deep Research, information vs. insight, and the nature of science
|
Feb 12, 2025 |
|
Making the U.S. the home for open-source AI
|
Feb 05, 2025 |
|
Why reasoning models will generalize
|
Jan 28, 2025 |
|
Interviewing OLMo 2 leads: Open secrets of training language models
|
Jan 22, 2025 |
|
DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
|
Jan 21, 2025 |
|
Let me use my local LMs on Meta Ray-Bans
|
Jan 15, 2025 |
|
(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models
|
Jan 09, 2025 |
|
The state of post-training in 2025
|
Jan 08, 2025 |
|
Quick recap on the state of reasoning
|
Jan 02, 2025 |
|
(Voiceover) 2024 Interconnects year in review
|
Dec 31, 2024 |
|
(Voiceover) OpenAI's o3: The grand finale of AI in 2024
|
Dec 20, 2024 |
|
(Voiceover) The AI agent spectrum
|
Dec 18, 2024 |
|
(Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses
|
Dec 11, 2024 |
|
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
|
Dec 05, 2024 |
|
(Voiceover) OpenAI's o1 using "search" was a PSYOP
|
Dec 04, 2024 |
|
(Voiceover) OLMo 2 and building effective teams for training language models
|
Nov 26, 2024 |
|
(Voiceover) Tülu 3: The next era in open post-training
|
Nov 21, 2024 |
|
(Voiceover) Scaling realities
|
Nov 14, 2024 |
|
(Voiceover) Saving the National AI Research Resource & my AI policy outlook
|
Nov 13, 2024 |
|
Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next
|
Nov 07, 2024 |
|
Interviewing Andrew Carr of Cartwheel on the State of Generative AI
|
Oct 31, 2024 |
|
(Voiceover) Why I build open language models
|
Oct 30, 2024 |
|
(Voiceover) Claude's agentic future and the current state of the frontier models
|
Oct 23, 2024 |
|
Interviewing Arvind Narayanan on making sense of AI hype
|
Oct 17, 2024 |
|
(Voiceover) Building on evaluation quicksand
|
Oct 16, 2024 |
|
Interviewing Andrew Trask on how language models should store (and access) information
|
Oct 10, 2024 |
|
How scaling changes model behavior
|
Oct 09, 2024 |
|
[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism
|
Oct 02, 2024 |
|
Interviewing Riley Goodside on the science of prompting
|
Sep 30, 2024 |
|
[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem
|
Sep 27, 2024 |
|
[Article Voiceover] Reverse engineering OpenAI's o1
|
Sep 17, 2024 |
|
Futures of the data foundry business model
|
Sep 11, 2024 |
|
A post-training approach to AI regulation with Model Specs
|
Sep 10, 2024 |
|
OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference
|
Sep 05, 2024 |
|
OLMoE and the hidden simplicity in training better foundation models
|
Sep 04, 2024 |
|
On the current definitions of open-source AI and the state of the data commons
|
Aug 28, 2024 |
|
Nous Hermes 3 and exploiting underspecified evaluations
|
Aug 16, 2024 |
|
Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents
|
Aug 08, 2024 |
|
A recipe for frontier model post-training
|
Aug 07, 2024 |
|
Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education
|
Aug 01, 2024 |
|
GPT-4o-mini changed ChatBotArena
|
Jul 31, 2024 |
|
Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem
|
Jul 23, 2024 |
|
SB 1047, AI regulation, and unlikely allies for open models
|
Jul 17, 2024 |
|
Switched to Claude 3.5
|
Jul 03, 2024 |
|
Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws
|
Jun 27, 2024 |
|
RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition
|
Jun 26, 2024 |
|
Frontiers in synthetic data
|
Jun 21, 2024 |
|
Text-to-video AI is already abundant
|
Jun 18, 2024 |
|
AI for the rest of us
|
Jun 12, 2024 |
|
A realistic path to robotic foundation models
|
Jun 05, 2024 |
|
We aren't running out of training data, we are running out of open training data
|
May 29, 2024 |
|
Name, image, and AI's likeness
|
May 22, 2024 |
|
OpenAI chases Her
|
May 16, 2024 |
|
OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions
|
May 13, 2024 |
|
RLHF: A thin line between useful and lobotomized
|
May 01, 2024 |
|
Phi 3 and Arctic: Outlier LMs are hints
|
Apr 30, 2024 |
|
AGI is what you want it to be
|
Apr 24, 2024 |
|
Llama 3: Scaling open LLMs to AGI
|
Apr 21, 2024 |
|
Stop "reinventing" everything to "solve" alignment
|
Apr 17, 2024 |
|
The end of the "best open LLM"
|
Apr 15, 2024 |
|
Why we disagree on what open-source AI should be
|
Apr 03, 2024 |
|
DBRX: The new best open LLM and Databricks' ML strategy
|
Mar 29, 2024 |
|
Evaluations: Trust, performance, and price (bonus, announcing RewardBench)
|
Mar 21, 2024 |
|
Model commoditization and product moats
|
Mar 13, 2024 |
|
The koan of an open-source LLM
|
Mar 06, 2024 |
|
Interviewing Louis Castricato of Synth Labs and Eleuther AI on RLHF, Gemini Drama, DPO, founding Carper AI, preference data, reward models, and everything in between
|
Mar 04, 2024 |
|
How to cultivate a high-signal AI feed
|
Feb 28, 2024 |
|
Google ships it: Gemma open LLMs and Gemini backlash
|
Feb 22, 2024 |
|
10 Sora and Gemini 1.5 follow-ups: code-base in context, deepfakes, pixel-peeping, inference costs, and more
|
Feb 20, 2024 |
|
Releases! OpenAI’s Sora for video, Gemini 1.5's infinite context, and a secret Mistral model
|
Feb 16, 2024 |
|
Why reward models are still key to understanding alignment
|
Feb 14, 2024 |
|
Alignment-as-a-Service: Scale AI vs. the new guys
|
Feb 07, 2024 |
|
Open Language Models (OLMos) and the LLM landscape
|
Feb 01, 2024 |
|
Model merging lessons in The Waifu Research Department
|
Jan 29, 2024 |
|
Local LLMs, some facts some fiction
|
Jan 24, 2024 |
|
Multimodal blogging: My AI tools to expand your audience
|
Jan 17, 2024 |
|
Multimodal LM roundup: Unified IO 2, inputs and outputs, Gemini, LLaVA-RLHF, and RLHF questions
|
Jan 10, 2024 |
|
Where 2024’s “open GPT4” can’t match OpenAI’s
|
Jan 05, 2024 |
|
Interviewing Tri Dao and Michael Poli of Together AI on the future of LLM architectures
|
Dec 21, 2023 |