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Is AI Useful for Training Optimization | #62 ft. David Mehlman
In this episode of the Critical Oxygen Podcast, I talk with my good friend David Mehlman where we discuss the role of artificial intelligence (AI) in the endurance space. We explore the potential uses of AI in training and racing, as well as the challenges and limitations of relying on AI. The conversation highlights the importance of data quality when using AI. We also discuss the potential benefits of AI in finding deviations and patterns in training and performance. Overall, we conclude that AI could be a valuable tool in the coaching process, but not a replacement for human coaches.
TAKEAWAYS
- AI is a powerful tool in the endurance space, but it is only as good as the data set it is trained on.
- AI can be helpful in finding deviations and patterns in training and performance, but it is important to consider the quality of the inputs.
- AI is particularly useful in areas like legal research and medical research, where it can process and analyze large amounts of data.
- The goal of training is to get as close as possible to your potential, and AI can be a valuable tool in achieving that goal. AI can provide guidance and recommendations based on data, but it should not replace human expertise and intuition in training and coaching.
A bit about David: David Mehlman is an entrepreneur, investor, and avid endurance athlete. Throughout his career, David has worked in sell-side equity research, for a multi-billion-dollar equity hedge fund, and as an early-stage investor focused on the consumer and technology sectors. His love of data led him to explore the subject of quantitative analysis and assessment in sport and his own performance.
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If you have a question or topic you want us to address, leave a comment!
Follow Phil on Instagram - https://www.instagram.com/criticalo2
Follow David on Instagram - https://www.instagram.com/dmehlo/
Interested in testing, courses, or other long form content check out the critical oxygen website - https://www.criticaloxygen.com
CHAPTERS
00:00 Introduction and the Problem with AI in Training
10:02 AI in Other Fields: Legal Research and Medical Research
31:17 The Limitations of AI in Training and Coaching
46:51 AI as a Support System for Athletes' Training
53:31 AI as a Tool, Not a Panacea
KEYWORDS
artificial intelligence, endurance space, training, racing, data quality, limitations, patterns, performance, AI, training, coaching, data, limitations, challenges, tools, expertise, intuition, critical thinking
View all episodes
By Philip Batterson, Ph.D.
4.9
1515 ratings
In this episode of the Critical Oxygen Podcast, I talk with my good friend David Mehlman where we discuss the role of artificial intelligence (AI) in the endurance space. We explore the potential uses of AI in training and racing, as well as the challenges and limitations of relying on AI. The conversation highlights the importance of data quality when using AI. We also discuss the potential benefits of AI in finding deviations and patterns in training and performance. Overall, we conclude that AI could be a valuable tool in the coaching process, but not a replacement for human coaches.
TAKEAWAYS
- AI is a powerful tool in the endurance space, but it is only as good as the data set it is trained on.
- AI can be helpful in finding deviations and patterns in training and performance, but it is important to consider the quality of the inputs.
- AI is particularly useful in areas like legal research and medical research, where it can process and analyze large amounts of data.
- The goal of training is to get as close as possible to your potential, and AI can be a valuable tool in achieving that goal. AI can provide guidance and recommendations based on data, but it should not replace human expertise and intuition in training and coaching.
A bit about David: David Mehlman is an entrepreneur, investor, and avid endurance athlete. Throughout his career, David has worked in sell-side equity research, for a multi-billion-dollar equity hedge fund, and as an early-stage investor focused on the consumer and technology sectors. His love of data led him to explore the subject of quantitative analysis and assessment in sport and his own performance.
Enjoying these podcasts? Subscribe to get notified when new episodes are released.
If you have a question or topic you want us to address, leave a comment!
Follow Phil on Instagram - https://www.instagram.com/criticalo2
Follow David on Instagram - https://www.instagram.com/dmehlo/
Interested in testing, courses, or other long form content check out the critical oxygen website - https://www.criticaloxygen.com
CHAPTERS
00:00 Introduction and the Problem with AI in Training
10:02 AI in Other Fields: Legal Research and Medical Research
31:17 The Limitations of AI in Training and Coaching
46:51 AI as a Support System for Athletes' Training
53:31 AI as a Tool, Not a Panacea
KEYWORDS
artificial intelligence, endurance space, training, racing, data quality, limitations, patterns, performance, AI, training, coaching, data, limitations, challenges, tools, expertise, intuition, critical thinking
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