Video De Ia

Based on a transcript excerpt: Sam Witteveen demonstrates NVIDIA's Dory, a 4B-parameter looped (latent recurrent) transformer from NVIDIA's Nemotron Labs that can be downloaded and run locally. The video shows how varying the number of times a layer block loops per token changes output quality and token speed, and notes NVIDIA's own composite score places the model ahead of Gemma 4 26B.

AI Research & Tutorial • Sam Witteveen

Kimi K3.1, a free 3-trillion-parameter open-weight model from Moonshot AI, has been released, scoring within one point of Opus on Terminal Bench. The video explores the model's capabilities and the surprising lack of explanation for its performance, making it a must-watch for AI enthusiasts tracking frontier model developments.

AI News • Fireship

Based on a transcript excerpt: Wes Roth unpacks OpenAI's claim that its AI has disproved the Exponential Time Hypothesis (ETH), explaining how this relates to the P versus NP problem and what it could mean for computer science, encryption, and AI. He also notes OpenAI president Greg Brockman's reassurance that P still probably does not equal NP, and cites Scott Aaronson's comments on AI's impact on physics.

AI Research & Breakthroughs • Wes Roth