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#47 Check In: Getting Back to Training After Injury, Burning Man, K Guard, AI, and Outlier Database

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Manage episode 376586241 series 3416715
Content provided by Josh Lu and Jake Luigi, Josh Lu, and Jake Luigi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Josh Lu and Jake Luigi, Josh Lu, and Jake Luigi 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 episode, we dive into a variety of topics. We touch base on our jiu jitsu journey's, discuss Josh's unique experience at Burning Man this year, share thoughts on injury recovery and returning to the jiu jitsu mat, explore the K Guard technique, delve into the connection between leg locks and back takes, discuss the ecological approach, touch on AI, and even chat about hunting and fishing. These check-in episodes are becoming a blend of jiu jitsu chatter and other random topics. We hope you enjoy!

Check out Sherpa, the AI-powered journal app for athletes. Sign up for the waitlist here.
Check out Jake's Outlier Database to study match footage, get links to resources, and more.
Use the code "HELP" to get 10% off Jake's "Less Impressed More Half Guard Passing" instructional. Thanks for supporting the show!

Use code “BJJHELP” at submeta.io to try your first month for only $8!
Use code “SISUhelp” for 10% off our favorite mouthguards.

  continue reading

Chapters

1. #47 Check In: Getting Back to Training After Injury, Burning Man, K Guard, AI, and Outlier Database (00:00:00)

2. Burning Man Experience (00:00:11)

3. Returning to Training After an Injury (00:05:11)

4. Exploring Data Collection and AI Integration (00:16:58)

5. AI Image Recognition (00:24:36)

6. Discussion on K-Guard and Its Applications (00:28:53)

7. Leg Locks and Back Takes Relationship (00:40:00)

8. Training AI Models (00:46:52)

9. Belt Promotions and Hunting Updates (00:54:10)

10. Shoulder Crunch and Sub Meta Course (01:03:16)

94 episodes

Artwork
iconShare
 
Manage episode 376586241 series 3416715
Content provided by Josh Lu and Jake Luigi, Josh Lu, and Jake Luigi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Josh Lu and Jake Luigi, Josh Lu, and Jake Luigi 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 episode, we dive into a variety of topics. We touch base on our jiu jitsu journey's, discuss Josh's unique experience at Burning Man this year, share thoughts on injury recovery and returning to the jiu jitsu mat, explore the K Guard technique, delve into the connection between leg locks and back takes, discuss the ecological approach, touch on AI, and even chat about hunting and fishing. These check-in episodes are becoming a blend of jiu jitsu chatter and other random topics. We hope you enjoy!

Check out Sherpa, the AI-powered journal app for athletes. Sign up for the waitlist here.
Check out Jake's Outlier Database to study match footage, get links to resources, and more.
Use the code "HELP" to get 10% off Jake's "Less Impressed More Half Guard Passing" instructional. Thanks for supporting the show!

Use code “BJJHELP” at submeta.io to try your first month for only $8!
Use code “SISUhelp” for 10% off our favorite mouthguards.

  continue reading

Chapters

1. #47 Check In: Getting Back to Training After Injury, Burning Man, K Guard, AI, and Outlier Database (00:00:00)

2. Burning Man Experience (00:00:11)

3. Returning to Training After an Injury (00:05:11)

4. Exploring Data Collection and AI Integration (00:16:58)

5. AI Image Recognition (00:24:36)

6. Discussion on K-Guard and Its Applications (00:28:53)

7. Leg Locks and Back Takes Relationship (00:40:00)

8. Training AI Models (00:46:52)

9. Belt Promotions and Hunting Updates (00:54:10)

10. Shoulder Crunch and Sub Meta Course (01:03:16)

94 episodes

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