State Of Ai In 2026 Llms Coding Scaling Laws China Agents Gpus Agi Lex Fridman Podcast 490

Us State Of Ai In 2026 Llms Coding Scaling Laws China Agents Gpus Agi Nathan lambert and sebastian raschka are machine learning researchers, engineers, and educators. nathan is the post training lead at the allen institute for ai (ai2) and the author of the rlhf book. sebastian raschka is the author of build a large language model (from scratch) and build a reasoning model (from scratch). State of ai in 2026: llms, coding, scaling laws, china, agents, gpus, agi | lex fridman podcast #490. nathan lambert and sebastian raschka are machine learning.

Us State Of Ai In 2026 Llms Coding Scaling Laws China Agents Gpus Agi This week, we look at the cybersecurity threats that a new unreleased model from anthropic are posing to software everywhere. and we ask whether project glasswing, the company’s bold new defense initiative, will give tech companies enough of a head start to secure the web. The following is a conversation all about the state of the art in artificial intelligence, including some of the exciting technical breakthroughs and developments in ai that happened over the past year, and some of the interesting things we think might happen this upcoming year. #490 – state of ai in 2026: llms, coding, scaling laws, china, agents, gpus, agi. Sebastian raschka is the author of build a large language model (from scratch) and build a reasoning model (from scratch).

490 State Of Ai In 2026 Llms Coding Scaling Laws China Agents #490 – state of ai in 2026: llms, coding, scaling laws, china, agents, gpus, agi. Sebastian raschka is the author of build a large language model (from scratch) and build a reasoning model (from scratch). Listen to this episode from lex fridman podcast on spotify. nathan lambert and sebastian raschka are machine learning researchers, engineers, and educators. nathan is the post training lead at the allen institute for ai (ai2) and the author of the rlhf book. In this episode, lex fridman is joined by respected ai researchers and educators sebastian raschka and nathan lambert to explore the "state of the art" in artificial intelligence as of early 2026. So at some point, i expect consolidation, but i don't expect that to be a story of 2026, where there will be more open model builders throughout 2026 than there were in 2025, and a lot of the notable ones will be in china.