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Expert Pro Run Coach VS Chat GPT AI: Who’s Better?

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Manage episode 419472682 series 2414150
Treść dostarczona przez DLake Creates and Daren DLake. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez DLake Creates and Daren DLake lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Watch and read this here. The ultimate showdown: Mike Trees takes on AI to create the perfect training plan!


In the world of run training, the battle lines between old-school human coaching and high-tech AI guidance are drawn. While AI brings the big guns with its data-crunching skills, delivering precision and convenience, it can't quite replicate the human touch. Coaches are like those wise sheriffs in Western movies who read the room, adapt on the fly, and truly get the emotional lay of the land. They tailor training to the oscillation of life—your feelings, your crazy schedule, the things you don't even think to quantify. So, in this digital age, what's a runner to do? Jump on the bandwagon of Team AI, or stick with the experience and wisdom of a personalized training plan? Let's find out which is best.


In this episode we’ll find out;

  • Can someone speed interval work their way to a fast half marathon
  • Why ai could help coaches do better quality work with runners
  • Where ai could actually help runners better than human coaches in the future with the all of the data it has
  • The downsides of Chat GTP and ai in general getting things wrong
  • and more

Timestamps

  • [00:00] Introduction to the AI vs. Human coaching debate
  • [05:15] Case study: 22-year-old male sprinter transitioning to a half marathon
  • [12:34] Analysis of the training plan for the young male runner
  • [20:00] Insights on the limitations and benefits of AI in running coaching
  • [23:04] Case study: 50-year-old female runner aiming for a sub-four-hour marathon
  • [30:59] Evaluation of the training plan for the mature female runner
  • [33:22] Comparison of AI-generated plans and human coaching strategies
  • [34:34] Discussion on the importance of holistic training approaches
  • [37:23] Key takeaways on leveraging AI in running training
  • [39:00] Closing remarks and acknowledgments

Links & Learnings


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

103 odcinków

Artwork
iconUdostępnij
 
Manage episode 419472682 series 2414150
Treść dostarczona przez DLake Creates and Daren DLake. Cała zawartość podcastów, w tym odcinki, grafika i opisy podcastów, jest przesyłana i udostępniana bezpośrednio przez DLake Creates and Daren DLake lub jego partnera na platformie podcastów. Jeśli uważasz, że ktoś wykorzystuje Twoje dzieło chronione prawem autorskim bez Twojej zgody, możesz postępować zgodnie z procedurą opisaną tutaj https://pl.player.fm/legal.

Watch and read this here. The ultimate showdown: Mike Trees takes on AI to create the perfect training plan!


In the world of run training, the battle lines between old-school human coaching and high-tech AI guidance are drawn. While AI brings the big guns with its data-crunching skills, delivering precision and convenience, it can't quite replicate the human touch. Coaches are like those wise sheriffs in Western movies who read the room, adapt on the fly, and truly get the emotional lay of the land. They tailor training to the oscillation of life—your feelings, your crazy schedule, the things you don't even think to quantify. So, in this digital age, what's a runner to do? Jump on the bandwagon of Team AI, or stick with the experience and wisdom of a personalized training plan? Let's find out which is best.


In this episode we’ll find out;

  • Can someone speed interval work their way to a fast half marathon
  • Why ai could help coaches do better quality work with runners
  • Where ai could actually help runners better than human coaches in the future with the all of the data it has
  • The downsides of Chat GTP and ai in general getting things wrong
  • and more

Timestamps

  • [00:00] Introduction to the AI vs. Human coaching debate
  • [05:15] Case study: 22-year-old male sprinter transitioning to a half marathon
  • [12:34] Analysis of the training plan for the young male runner
  • [20:00] Insights on the limitations and benefits of AI in running coaching
  • [23:04] Case study: 50-year-old female runner aiming for a sub-four-hour marathon
  • [30:59] Evaluation of the training plan for the mature female runner
  • [33:22] Comparison of AI-generated plans and human coaching strategies
  • [34:34] Discussion on the importance of holistic training approaches
  • [37:23] Key takeaways on leveraging AI in running training
  • [39:00] Closing remarks and acknowledgments

Links & Learnings


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

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