AI Safety's Crux: Culture vs. Capitalism

Interviewing Riley Goodside on the science of prompting

Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

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

Nous Hermes 3 and exploiting underspecified evaluations

Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents

A recipe for frontier model post-training

Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

GPT-4o-mini changed ChatBotArena

Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem

SB 1047, AI regulation, and unlikely allies for open models

Switched to Claude 3.5

Interviewing Dean Ball on AI policy

RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition

Frontiers in synthetic data