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Episode 401 - Google's Ex CEO Just Released Super intelligent AI Agent's and their outperforming PhDs

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Manage episode 481301015 series 3661101
Content provided by A.I. Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by A.I. Roberts 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.

A YouTube transcript discusses Future House's launch of four free, superintelligent AI agents – Crow, Falcon, Owl, and Phoenix – designed specifically for scientific research and backed by former Google CEO Eric Schmidt. These agents are intended to automate and accelerate tasks previously requiring extensive human effort, from literature review and hypothesis testing to designing novel molecules. The transcript emphasises the platform's focus on transparency and verifiable reasoning to counter the hallucination issues sometimes seen in other large language models, and highlights the company's belief that these tools can significantly boost scientific productivity by handling the vast scale of available data.
Source :
AI Revolution
YouTube Channel

  continue reading

402 episodes

Artwork
iconShare
 
Manage episode 481301015 series 3661101
Content provided by A.I. Roberts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by A.I. Roberts 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.

A YouTube transcript discusses Future House's launch of four free, superintelligent AI agents – Crow, Falcon, Owl, and Phoenix – designed specifically for scientific research and backed by former Google CEO Eric Schmidt. These agents are intended to automate and accelerate tasks previously requiring extensive human effort, from literature review and hypothesis testing to designing novel molecules. The transcript emphasises the platform's focus on transparency and verifiable reasoning to counter the hallucination issues sometimes seen in other large language models, and highlights the company's belief that these tools can significantly boost scientific productivity by handling the vast scale of available data.
Source :
AI Revolution
YouTube Channel

  continue reading

402 episodes

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