(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

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