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unlocking the revolutionary potential of multimodal AI | Ep 87

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Manage episode 405930741 series 3364823
Content provided by Paige Finn Doherty. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paige Finn Doherty 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://staging.podcastplayer.com/legal.

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In today's episode, we discuss the transformative world of Multimodal AI, an advanced form of artificial intelligence that integrates and processes multiple data types—text, images, audio, and video—to emulate human-like perception. Unlike text-based AI models such as ChatGPT, which specialize in generating text-based responses, Multimodal AI offers a more comprehensive understanding by processing diverse data inputs, mirroring the way humans utilize multiple senses to interact with their environment. The essence of Multimodal AI lies in its ability to converge various forms of data to present a more holistic view, though it faces significant challenges in terms of technical complexity, data integration, and privacy concerns. Despite these obstacles, Multimodal AI stands on the brink of revolutionizing technology and daily life, with potential applications across entertainment, healthcare, and education. Today, we explore the importance of investing early in this rapidly advancing field, emphasizing the need for caution and diligence to navigate the fast-paced world of AI innovation, where Multimodal AI is poised to make significant strides in the coming years.
Seed to Harvest is a podcast focused on stories & tactics from a diverse array of investors, founders, and creators, hosted by Paige Finn Doherty, a founding partner at Behind Genius Ventures and author of Seed to Harvest, an illustrated children's book for adults.
Connect with Paige 🌱💜
Behind Genius Ventures blog | https://www.behindgeniusventures.com/
Personal Blog | https://paigefinndoherty.com/
Twitter | https://twitter.com/paigefinnn
00:00 Welcome to Seed To Harvest: Paige Doherty
00:41 introduction to multimodal AI
01:29 defining multimodal AI
03:17 companies investing in multimodal AI
03:49 the difference between text-based AI and multimodal AI
05:20 the convergence of multimodal AI
06:40 the inherent technical complexity of multimodal AI
08:35 roadblocks of multimodal AI
11:43 possibilities for disruption
12:55 BGV’s investments in multimodal AI
14:50 the perfect solution for multimodal AI
Show notes:
Our Approach to Investing in Early Stage AI Companies | https://www.behindgeniusventures.com/post/ai-investing
our approach to investing in early stage AI companies | ep75 | https://www.youtube.com/watch?v=r9BxDkTCE2I
Prof Jim | https://www.profjim.com/
Hearth Display | https://hearthdisplay.com/
The Last Gameboard | https://lastgameboard.com/
Aviron | https://www.avironactive.com/
Lotus Labs | https://www.getlotus.com/
Humane's AI Pin Tab | https://hu.ma.ne/aipin
Support the show

  continue reading

96 episodes

Artwork
iconShare
 
Manage episode 405930741 series 3364823
Content provided by Paige Finn Doherty. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paige Finn Doherty 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://staging.podcastplayer.com/legal.

Send us a text

In today's episode, we discuss the transformative world of Multimodal AI, an advanced form of artificial intelligence that integrates and processes multiple data types—text, images, audio, and video—to emulate human-like perception. Unlike text-based AI models such as ChatGPT, which specialize in generating text-based responses, Multimodal AI offers a more comprehensive understanding by processing diverse data inputs, mirroring the way humans utilize multiple senses to interact with their environment. The essence of Multimodal AI lies in its ability to converge various forms of data to present a more holistic view, though it faces significant challenges in terms of technical complexity, data integration, and privacy concerns. Despite these obstacles, Multimodal AI stands on the brink of revolutionizing technology and daily life, with potential applications across entertainment, healthcare, and education. Today, we explore the importance of investing early in this rapidly advancing field, emphasizing the need for caution and diligence to navigate the fast-paced world of AI innovation, where Multimodal AI is poised to make significant strides in the coming years.
Seed to Harvest is a podcast focused on stories & tactics from a diverse array of investors, founders, and creators, hosted by Paige Finn Doherty, a founding partner at Behind Genius Ventures and author of Seed to Harvest, an illustrated children's book for adults.
Connect with Paige 🌱💜
Behind Genius Ventures blog | https://www.behindgeniusventures.com/
Personal Blog | https://paigefinndoherty.com/
Twitter | https://twitter.com/paigefinnn
00:00 Welcome to Seed To Harvest: Paige Doherty
00:41 introduction to multimodal AI
01:29 defining multimodal AI
03:17 companies investing in multimodal AI
03:49 the difference between text-based AI and multimodal AI
05:20 the convergence of multimodal AI
06:40 the inherent technical complexity of multimodal AI
08:35 roadblocks of multimodal AI
11:43 possibilities for disruption
12:55 BGV’s investments in multimodal AI
14:50 the perfect solution for multimodal AI
Show notes:
Our Approach to Investing in Early Stage AI Companies | https://www.behindgeniusventures.com/post/ai-investing
our approach to investing in early stage AI companies | ep75 | https://www.youtube.com/watch?v=r9BxDkTCE2I
Prof Jim | https://www.profjim.com/
Hearth Display | https://hearthdisplay.com/
The Last Gameboard | https://lastgameboard.com/
Aviron | https://www.avironactive.com/
Lotus Labs | https://www.getlotus.com/
Humane's AI Pin Tab | https://hu.ma.ne/aipin
Support the show

  continue reading

96 episodes

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