(Voiceover) Tülu 3: The next era in open post-training

(Voiceover) Scaling realities

(Voiceover) Saving the National AI Research Resource & my AI policy outlook

Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next

Interviewing Andrew Carr of Cartwheel on the State of Generative AI

(Voiceover) Why I build open language models

(Voiceover) Claude's agentic future and the current state of the frontier models

Interviewing Arvind Narayanan on making sense of AI hype

(Voiceover) Building on evaluation quicksand

Interviewing Andrew Trask on how language models should store (and access) information

How scaling changes model behavior

[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism

Interviewing Riley Goodside on the science of prompting

[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

[Article Voiceover] Reverse engineering OpenAI's o1

Futures of the data foundry business model

A post-training approach to AI regulation with Model Specs

OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

OLMoE and the hidden simplicity in training better foundation models

On the current definitions of open-source AI and the state of the data commons