Sebastian Raschka'S Blog
This blog post announces a 4.5-hour interview with Lex Fridman and Nathan Lambert discussing the current state and future progress of AI in 2026, covering LLMs, training, research, and societal implications.
AI 生成摘要
這篇部落格文章宣布了一場長達4.5小時的訪談，與Lex Fridman和Nathan Lambert一同探討2026年AI的現況與未來進展，內容涵蓋大型語言模型、訓練、研究及社會影響。
Feb 1, 2026
by Sebastian Raschka
I recently sat down with Lex Fridman and Nathan Lambert for a comprehensive 4.5 h interview to discuss the current state of progress of AI, and what the progress in 2026 look like.
We cover the LLM landscape from multiple angles, starting with the geopolitics of the AI race and comparisons between today’s leading LLMs. Then we discuss how these systems are actually trained, scaled, and post-trained. Of course, we also discuss current open vs closed models, coding assistants, tooling, and emerging research directions, and closes with practical advice and a look at AGI timelines, compute, and the long-term implications for industry and society. Yes, there is a lot of ground we covered!
While this is an audio podcast, there are tons of figure overlays and animation in the video version on YouTube, which may help when things get a bit technical.
Happy watching!
Timestamps:
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