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“Tomorrowist” Podcast Episode

Inside AI’s Future with a Google DeepMind Scientist

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  1. Video
  2. Audio Only

AI is advancing faster than most organizations can adapt — and business leaders are under pressure to make the right decisions amid uncertainty, hype, and rapid change. In this conversation, Google DeepMind research scientist Richard Zhang unpacks what leaders need to understand about how modern AI truly works and where it’s headed next, from emerging risks to transformative new capabilities.

Related to this Episode:

Conference: AI+HI Project 2026

Gain insights into sessions, speakers, and workshops shaping the future of HR innovation.

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This guide provides HR professionals with knowledge and tools to write effective prompts for GenAI, ensuring they maximize the technology's potential.


The podcast is just the beginning. The weekly Tomorrowist newsletter features articles on the trends redefining the future of work. Explore these must-read insights from the latest issue. Subscribe now to prepare your business for what's next.

News + Insights

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Why Many HR Gen AI Projects Are Doomed to Fail

As AI hype surges, HR teams face a harsh reality. Learn how grounded, staff-built tools — not grand promises — deliver real transformation.



Episode Guest

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    Richard Zhang

    Richard Zhang is currently at Google Deepmind on the Vizier team, and is a co-creator of OSS Vizier, working on hyperparameter/prompt/data/agent optimization, reinforcement learning, and theoretical machine learning.  
     
    Richard graduated with a PhD in Applied Mathematics and Computer Science from UC Berkeley, where he was advised by Professor Satish Rao and Professor Nikhil Srivastava. Previously, he graduated from Princeton University’s Great Class of 2014.

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