Nathan Labenz is a technology entrepreneur and distinguished artificial intelligence analyst.
How media typically covers Nathan Labenz
Based on 7 scored articles
Nathan Labenz as author
Discrete language diffusion models are a generalization of BERT's masked language modeling, suggesting BERT-like encoders can be finetuned to perform text generation through a diffusion process.
“Author of "BERT is Just a Single Text Diffusion Step" in Nathan Labenz's Blog”
Referenced in coverage
“Co-hosts the AI:AM podcast and leads discussion on Exponential Time Hypothesis, AI safety, open model restrictions, and concentration of power.”
“Podcast host and interviewer discussing AI strategy, governance, and superintelligence with RAND researchers.”
“Co-hosts AI:AM podcast and leads discussion on AI development pace with guests; building Help Peer project for personal AI agents to cooperate.”
“Nathan Labenz hosts the podcast and interviews guests on AI topics including agents, safety, and biology.”
“Nathan Labenz hosts and conducts the interview with Alan Chan about AI agent governance.”
“Host of The Cognitive Revolution podcast who interviewed Steve Newman about AI progress and Claude Code tools.”