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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score27

Sundar Pichai says he uses internal AI agents to track Google’s workMachine translation

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Pichai said internal agents summarize the past 24 hours of discussions in model training groups, a task he said could otherwise take an hour a day; he still often looks deeper. Other agents monitor compute usage, efficiency and utilization and provide him with insights.

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Sundar Pichai described kinds of agents he uses to follow Google and also how agents now decide which compute signals reach Sundar Pichai.

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@alexeheath 's podcast with Google CEO Sundar Pichai https://t.co/u1WyghopIx

QuoteAlex Heath@alexeheath
How Sundar Pichai uses AI to run Google: "I have agents running internally for me... There are all these chat groups: pre-training, mid-training, post-training data, etc. It could easily take me an hour a day to catch up on what's happened in the last 24 hours, but now I have agents running that summarize and bring that information to me. I can still go deeper, and I do so often. Similarly, there are agents with telemetry into our compute usage, product areas, efficiency, and utilization, and they are giving me inputs and insights."
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Related contextAlex Heath@alexeheath
Sundar Pichai on Gemini 4 and the AI compute crunch Even Google can’t get enough compute. I sit down with Google and Alphabet CEO @sundarpichai shortly after the wider release of Gemini 4 Argon to discuss its early reception, where he still wants the model to improve, and what it takes to keep Google at the frontier of AI. Pichai explains the recent leadership shakeup at Google DeepMind and why building frontier models has become an “all-consuming” job. We also get into Google’s answer to the personal agent race, how he predicts Gemini will do more work on your behalf, and whether agents will finally bring Search, Gmail, and Gemini together. I ask him about Google turning free cash flow negative, the risks in the AI infrastructure buildout, and how he plans for demand years before knowing what the models will be capable of. He explains the signals giving him confidence to keep spending and how he uses AI agents to follow model development and compute usage inside Google. Timestamps: 00:00 Gemini Argon launch reception 01:49 Model access and safety 06:20 The AI model race 08:35 Agentic breakthroughs and 2027 11:34 Recursive self-improvement 15:41 DeepMind leadership changes 19:52 Google's AI compute investments 25:20 Is AI spending sustainable? 33:18 How Sundar uses AI agents 35:35 Gemini's personal agent plans 38:37 How AI agents change the web 43:52 Google's space data centers 47:38 Waymo's expansion strategy 50:26 Wing's drone delivery plans 51:36 AI safety and regulation 55:58 Google's quantum computing bet YouTube: https://t.co/1Cc25LitmB Spotify: https://t.co/XnD4pEEsh8 Substack: https://t.co/0SrnNGKqlm Apple Podcasts: https://t.co/8UKvyXTlFF This episode's presenting sponsor is @hyperagentapp. Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury.
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Source: Rohan Paul · x.com

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