Episode

#230 - 2025 Retrospective, Nvidia buys Groq, GLM 4.7, METR

Podcast
Last Week in AI
Published
Jan 7, 2026
Duration seconds
5888
Processing state
processed
Canonical source
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Audio
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JSON
/v1/public/podcasts/last-week-in-ai/episodes/230-2025-retrospective-nvidia-buys-groq-glm-4-7-metr
Markdown
/podcast/last-week-in-ai/230-2025-retrospective-nvidia-buys-groq-glm-4-7-metr.md

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Summary

Our 230th episode with a summary and discussion of last week's big AI news! Recorded on 01/02/2026 Hosted by Andrey Kurenkov and Jeremie Harris Feel free to email us your questions and feedback at [email protected] and/or  [email protected] Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ In this episode: Nvidia's acquisition of AI chip startup Groq for $20 billion highlights a strategic move for enhanced inference technology in GPUs. New York's RAISE Act legislation aims to regulate AI safety, marking the second major AI safety bill in the US. The launch of GLM 4.7 by Zhipu AI marks a significant advancement in open-source AI models for coding. Evaluation of long-horizon AI agents raises concerns about the rising costs and efficiency of AI in performing extended tasks. Timestamps: (00:00:10) Intro / Banter (00:01:58) 2025 Retrospective Tools & Apps (00:24:39) OpenAI bets big on audio as Silicon Valley declares war on screens | TechCrunch Applications & Business (00:26:39) Nvidia buying AI chip startup Groq for about $20 billion, biggest deal (00:34:28) Exclusive | Meta Buys AI Startup Manus, Adding Millions of Paying Users - WSJ (00:38:05) Cursor continues acquisition spree with Graphite deal | TechCrunch (00:39:15) Micron Hikes CapEx to $20B with 2026 HBM Supply Fully Booked; HBM4 Ramps 2Q26 (00:42:06) Chinese fabs are reportedly upgrading older ASML DUV lithography chipmaking machines — secondary channels and independent engineers used to soup up Twinscan NXT series Projects & Open Source (00:47:52) Z.AI launches GLM-4.7, new SOTA open-source model for coding (00:50:11) Evaluating AI’s ability to perform scientific research tasks Research & Advancements (00:54:32) Large Causal Models from Large Language M…