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What in the World is Decentralized AI?

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Manage episode 443666271 series 3605815
Kandungan disediakan oleh Joseph Raczynski. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Joseph Raczynski atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In the ever-evolving landscape of artificial intelligence, decentralization is emerging as a critical paradigm shift, promising to revolutionize how we handle data, privacy, and AI capabilities. At the "Decentralized AI" session, Ramesh Raskar, Associate Professor at MIT Media Lab, provided an illuminating and thought-provoking perspective on this topic. Here’s an exploration of the concepts discussed and their potential implications for the future of AI.

A Vision of Decentralized AI

Raskar began with a fascinating anecdote about a "Talk to God" booth at Burning Man, where festival-goers shared their deepest secrets with a voice on the other end of the line. This quirky setup underscored a fundamental human desire for a trusted, all-knowing advisor—something Raskar believes decentralized AI can aspire to become.

In today’s world, we already see glimpses of this in applications like Google Maps, which we trust to guide us through our daily journeys. Imagine extending this trust beyond navigation to other aspects of our lives, such as health, shopping, and personal development. However, to achieve this, AI systems must go beyond the surface-level understanding provided by current models like ChatGPT.
This is an AI assisted voice conversation. The content comes from a blog written by Joseph Raczynski.

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Support the show

Many more crazy technology episodes to come! Subscribe and prepare for the new world.
For more information, please visit the following:

Website: https://www.josephraczynski.com/

Blog: https://joetechnologist.com/
Podcast: https://futuretech.buzzsprout.com

LinkedIn: https://www.linkedin.com/in/joerazz/

X: https://x.com/joerazz

  continue reading

12 episod

Artwork
iconKongsi
 
Manage episode 443666271 series 3605815
Kandungan disediakan oleh Joseph Raczynski. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Joseph Raczynski atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

In the ever-evolving landscape of artificial intelligence, decentralization is emerging as a critical paradigm shift, promising to revolutionize how we handle data, privacy, and AI capabilities. At the "Decentralized AI" session, Ramesh Raskar, Associate Professor at MIT Media Lab, provided an illuminating and thought-provoking perspective on this topic. Here’s an exploration of the concepts discussed and their potential implications for the future of AI.

A Vision of Decentralized AI

Raskar began with a fascinating anecdote about a "Talk to God" booth at Burning Man, where festival-goers shared their deepest secrets with a voice on the other end of the line. This quirky setup underscored a fundamental human desire for a trusted, all-knowing advisor—something Raskar believes decentralized AI can aspire to become.

In today’s world, we already see glimpses of this in applications like Google Maps, which we trust to guide us through our daily journeys. Imagine extending this trust beyond navigation to other aspects of our lives, such as health, shopping, and personal development. However, to achieve this, AI systems must go beyond the surface-level understanding provided by current models like ChatGPT.
This is an AI assisted voice conversation. The content comes from a blog written by Joseph Raczynski.

Send us a text

Support the show

Many more crazy technology episodes to come! Subscribe and prepare for the new world.
For more information, please visit the following:

Website: https://www.josephraczynski.com/

Blog: https://joetechnologist.com/
Podcast: https://futuretech.buzzsprout.com

LinkedIn: https://www.linkedin.com/in/joerazz/

X: https://x.com/joerazz

  continue reading

12 episod

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