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AI Ascent: Navigating the Twists and Turns of an AI Start-Up

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Manage episode 390688519 series 3532432
Content provided by Tamara Lechner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tamara Lechner 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://player.fm/legal.

In this week's episode, Tamara and Eric delve into the complexities of pivoting to an AI career, emphasizing the importance of aligning personal values with professional goals, embracing intellectual humility, and being clear enough to "unpivot" if that's what your gut tells you. They also touch on the flexibility of Large Language Models (LLMs), the potential of a whole new way of defining success and the value of taking a break. They also touch on insights from a new Danish study on AI- predictions of when individuals will die. Spoiler alert- we don't want to know when our death dates are.

  continue reading

17 episodes

Artwork
iconShare
 
Manage episode 390688519 series 3532432
Content provided by Tamara Lechner. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tamara Lechner 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://player.fm/legal.

In this week's episode, Tamara and Eric delve into the complexities of pivoting to an AI career, emphasizing the importance of aligning personal values with professional goals, embracing intellectual humility, and being clear enough to "unpivot" if that's what your gut tells you. They also touch on the flexibility of Large Language Models (LLMs), the potential of a whole new way of defining success and the value of taking a break. They also touch on insights from a new Danish study on AI- predictions of when individuals will die. Spoiler alert- we don't want to know when our death dates are.

  continue reading

17 episodes

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