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Open vs. Closed AI: Risks, Rewards, and Realities of Open Source Innovation

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Manage episode 491907139 series 3642897
Content provided by Celesta Capital | Deep Tech Venture Capital Firm. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Celesta Capital | Deep Tech Venture Capital Firm or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In TechSurge’s Season 1 Finale episode, we explore an important debate: should AI development be open source or closed?

AI technology leader and UN Senior Fellow Senthil Kumar joins Michael Marks for a deep dive into one of the most consequential debates in artificial intelligence, exploring the fundamental tensions between democratizing AI access and maintaining safety controls.

Sparked by DeepSeek's recent model release that delivered GPT-4 class performance at a fraction of the cost and compute, the discussion spans the economics of AI development, trust and transparency concerns, regulatory approaches across different countries, and the unique opportunities AI presents for developing nations.

From Meta's shift from closed to open and OpenAI's evolution from open to closed, to practical examples of guardrails and the geopolitical implications of AI governance, this episode provides essential insights into how the future of artificial intelligence will be shaped not just by technological breakthroughs, but by the choices we make as a global community.

If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and news about Season 2 of the TechSurge podcast. Thanks for listening!

Links:

Slate.ai - AI-powered construction technology: https://slate.ai/

World Economic Forum on open-source AI: https://www.weforum.org/stories/2025/02/open-source-ai-innovation-deepseek/

EU AI Act overview: https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence

  continue reading

26 episodes

Artwork
iconShare
 
Manage episode 491907139 series 3642897
Content provided by Celesta Capital | Deep Tech Venture Capital Firm. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Celesta Capital | Deep Tech Venture Capital Firm or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In TechSurge’s Season 1 Finale episode, we explore an important debate: should AI development be open source or closed?

AI technology leader and UN Senior Fellow Senthil Kumar joins Michael Marks for a deep dive into one of the most consequential debates in artificial intelligence, exploring the fundamental tensions between democratizing AI access and maintaining safety controls.

Sparked by DeepSeek's recent model release that delivered GPT-4 class performance at a fraction of the cost and compute, the discussion spans the economics of AI development, trust and transparency concerns, regulatory approaches across different countries, and the unique opportunities AI presents for developing nations.

From Meta's shift from closed to open and OpenAI's evolution from open to closed, to practical examples of guardrails and the geopolitical implications of AI governance, this episode provides essential insights into how the future of artificial intelligence will be shaped not just by technological breakthroughs, but by the choices we make as a global community.

If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and news about Season 2 of the TechSurge podcast. Thanks for listening!

Links:

Slate.ai - AI-powered construction technology: https://slate.ai/

World Economic Forum on open-source AI: https://www.weforum.org/stories/2025/02/open-source-ai-innovation-deepseek/

EU AI Act overview: https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence

  continue reading

26 episodes

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