Artwork

Inhalt bereitgestellt von Sam Kamani. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Sam Kamani oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.
Player FM - Podcast-App
Gehen Sie mit der App Player FM offline!

162: Decentralizing AI: How Bagel is Empowering Innovators, an indepth discussion with Bagel founder and CEO - Bidhan Roy

51:04
 
Teilen
 

Manage episode 433116774 series 3012250
Inhalt bereitgestellt von Sam Kamani. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Sam Kamani oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, we dive deep into the intersection of AI and Web3 with Bidhan Roy, the visionary behind Bagel. Bagel is revolutionizing how we build and access machine learning models by leveraging community power and privacy-preserving technologies. From his extensive experience at Amazon Alexa to his ambitious plans at Bagel, Bidhan shares insights into the challenges and opportunities in AI and Web3. Discover how Bagel aims to democratize AI, enabling anyone to build state-of-the-art models and fostering a truly decentralized ecosystem. Tune in to learn how AI can be both powerful and privacy-conscious, and what this means for the future of technology.

Key Points with Timestamps

  • [00:01:14] Introduction to Bidhan Roy and his background in AI and machine learning.

  • [00:02:18] Overview of Bagel: A peer-to-peer machine learning ecosystem.

  • [00:03:12] Challenges in the current AI industry: Monetization, privacy, and community rewards.

  • [00:07:05] Discussion on open source vs. centralized AI models.

  • [00:09:21] How Bagel aims to democratize access to high-quality data and resources.

  • [00:13:08] Privacy concerns and the importance of privacy-preserving technologies in AI.

  • [00:16:02] Insights on the untapped potential of private data sets in AI.

  • [00:20:01] Bagel's unique monetization strategy and shared ownership model.

  • [00:25:38] The challenges of building a startup at the intersection of AI and Web3.

  • [00:35:20] The difference between AI and Web3 in terms of decentralization and permissionless innovation.

  • [00:40:05] Future trends in Web3 and the importance of real user engagement.

  • [00:44:04] Projects in AI and Web3 that inspire Bidhan and Bagel.

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research.

Request

Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.

Connect with Bagel and Bidhan

https://www.linkedin.com/in/bidhanr/

https://www.bagel.net/

https://x.com/bagel_network

Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

193 Episoden

Artwork
iconTeilen
 
Manage episode 433116774 series 3012250
Inhalt bereitgestellt von Sam Kamani. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Sam Kamani oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, we dive deep into the intersection of AI and Web3 with Bidhan Roy, the visionary behind Bagel. Bagel is revolutionizing how we build and access machine learning models by leveraging community power and privacy-preserving technologies. From his extensive experience at Amazon Alexa to his ambitious plans at Bagel, Bidhan shares insights into the challenges and opportunities in AI and Web3. Discover how Bagel aims to democratize AI, enabling anyone to build state-of-the-art models and fostering a truly decentralized ecosystem. Tune in to learn how AI can be both powerful and privacy-conscious, and what this means for the future of technology.

Key Points with Timestamps

  • [00:01:14] Introduction to Bidhan Roy and his background in AI and machine learning.

  • [00:02:18] Overview of Bagel: A peer-to-peer machine learning ecosystem.

  • [00:03:12] Challenges in the current AI industry: Monetization, privacy, and community rewards.

  • [00:07:05] Discussion on open source vs. centralized AI models.

  • [00:09:21] How Bagel aims to democratize access to high-quality data and resources.

  • [00:13:08] Privacy concerns and the importance of privacy-preserving technologies in AI.

  • [00:16:02] Insights on the untapped potential of private data sets in AI.

  • [00:20:01] Bagel's unique monetization strategy and shared ownership model.

  • [00:25:38] The challenges of building a startup at the intersection of AI and Web3.

  • [00:35:20] The difference between AI and Web3 in terms of decentralization and permissionless innovation.

  • [00:40:05] Future trends in Web3 and the importance of real user engagement.

  • [00:44:04] Projects in AI and Web3 that inspire Bidhan and Bagel.

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research.

Request

Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.

Connect with Bagel and Bidhan

https://www.linkedin.com/in/bidhanr/

https://www.bagel.net/

https://x.com/bagel_network

Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

193 Episoden

Tất cả các tập

×
 
Loading …

Willkommen auf Player FM!

Player FM scannt gerade das Web nach Podcasts mit hoher Qualität, die du genießen kannst. Es ist die beste Podcast-App und funktioniert auf Android, iPhone und im Web. Melde dich an, um Abos geräteübergreifend zu synchronisieren.

 

Kurzanleitung