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The Tech Download

The Tech Download

By: CNBC
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Hosted by Arjun Kharpal and Steve Kovach, CNBC's “The Tech Download” podcast cuts through the noise to unpack the technology stories that matter most. Each season dives into a different topic — and uncovers what it means for your portfolio, your business and the global economy. With access to industry leaders and years of experience covering technology around the world, Arjun and Steve deliver sharp analysis and compelling narratives on the trends, risks and innovations shaping tech.

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Politics & Government
Episodes
  • How DeepMind Red‑Teams AI—and Why It Matters
    Jan 29 2026

    Two of Google DeepMind’s leaders—Dawn Bloxwich (Responsible Development & Innovation) and Tom Lue (VP, Frontier AI Global Affairs)—open the playbook on frontier safety and policy. Bloxwich explains how DeepMind blends structured evaluations with red‑teaming by experts and jailbreakers, and how its Frontier Safety Framework addresses severe risks (from CBRN and cyber to loss of control and socio‑affective concerns). Lue maps the regulatory landscape across the EU, US and Asia, arguing for harmonized standards that safeguard without stifling innovation. Together, they show what responsible development looks like before and after deployment—model cards, third‑party testing and the industry forums trying to align best practices.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    44 mins
  • Will AI Make or Break Education?
    Jan 22 2026

    AI is changing the way we learn and work. Google DeepMind COO Lila Ibrahim joins “The Tech Download” to explain the opportunities, risks and why teaching responsible AI use starts now.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    33 mins
  • How DeepMind Plans to Reach AGI Safely
    Jan 15 2026

    DeepMind’s co‑founder and CEO Demis Hassabis lays out a pragmatic path to AGI—why he still sees a 5–10 year window, what current models are missing (reasoning, planning, continual learning), and why world models will likely converge with today’s LLMs. He explains how DeepMind became Google’s “engine room” for AI, shipping Gemini advances across products, and why AI for science (from AlphaFold to materials and energy research) is the most exciting frontier. We also touch on compute, energy constraints, and how to scale without cutting corners on safety.

    See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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    53 mins
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