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Building a Palantir with Zero Employees: Crunch DAO’s Jean Herelle | DeFi Podcast #60

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Manage episode 476550203 series 3589045
Content provided by thedefipodcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by thedefipodcast 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.

In this episode of the DeFi Podcast, hosts Bill, JF, and Rhett sit down with Jean from Crunch DAO to explore how they're connecting 8,000 data scientists globally to solve complex problems while maintaining data privacy.

Jean reveals Crunch's unique approach that transforms sensitive financial data into abstracted games (like the "Bird Game" for forex trading), allowing data scientists to build powerful models without seeing the actual data. Learn how Crunch is leveraging blockchain technology to ensure fair compensation for global talent and why diversity of approaches creates superior AI solutions compared to small internal teams.

Key Topics:

How Crunch functions as "a Palantir with zero employees"

The differential privacy technique that protects sensitive financial data

Why financial institutions were the first to adopt Crunch's technology

How blockchain technology enables a global talent marketplace

The future of AI's "gut feeling" and what's coming for the Crunch platform

Chapters:

00:00 Building a Palantir with Zero Employees

00:22 Introduction to the Defi Podcast

01:16 Market Update: A Roller Coaster Week

01:56 Trump's Tariffs and Market Reactions

08:01 Crunch DAO: A Deep Dive

08:26 How Crunch DAO Works

08:40 The Role of Data Scientists in Crunch DAO

10:05 Differential Privacy and the Bird Game

10:10 Applications and Use Cases of Crunch DAO

12:52 Challenges and Solutions in AI and Machine Learning

16:43 Client Engagement and Data Management

22:47 Protecting Intellectual Property in AI Models

23:41 Challenges of Overfitting in Data Science

24:43 Live Data Testing and Model Validation

26:17 Diverse Approaches to Machine Learning

28:09 Intersection of Crunch and Blockchain Technology

29:33 Ensuring Fair Rewards for Model Creators

31:04 Trusted Execution Environments for Code Security

36:31 Future of AI and Human Intuition

41:23 Current State and Future Plans for Crunch

44:35 Conclusion and Final Thoughts

Follow us:

Twitter: @DefiPodcast

Follow the Hosts:

@Bill_Tanyeri

@JFSaine

@RhettShipp

Disclaimer: Nothing discussed on this podcast constitutes financial advice. The hosts and guest may hold positions in some of the assets or projects mentioned during the episode. Please consult a professional investment advisor and do your own research before making any financial decisions.

#DeFi #AI #Blockchain #CrunchDAO #DataScience #MachineLearning

  continue reading

32 episodes

Artwork
iconShare
 
Manage episode 476550203 series 3589045
Content provided by thedefipodcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by thedefipodcast 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.

In this episode of the DeFi Podcast, hosts Bill, JF, and Rhett sit down with Jean from Crunch DAO to explore how they're connecting 8,000 data scientists globally to solve complex problems while maintaining data privacy.

Jean reveals Crunch's unique approach that transforms sensitive financial data into abstracted games (like the "Bird Game" for forex trading), allowing data scientists to build powerful models without seeing the actual data. Learn how Crunch is leveraging blockchain technology to ensure fair compensation for global talent and why diversity of approaches creates superior AI solutions compared to small internal teams.

Key Topics:

How Crunch functions as "a Palantir with zero employees"

The differential privacy technique that protects sensitive financial data

Why financial institutions were the first to adopt Crunch's technology

How blockchain technology enables a global talent marketplace

The future of AI's "gut feeling" and what's coming for the Crunch platform

Chapters:

00:00 Building a Palantir with Zero Employees

00:22 Introduction to the Defi Podcast

01:16 Market Update: A Roller Coaster Week

01:56 Trump's Tariffs and Market Reactions

08:01 Crunch DAO: A Deep Dive

08:26 How Crunch DAO Works

08:40 The Role of Data Scientists in Crunch DAO

10:05 Differential Privacy and the Bird Game

10:10 Applications and Use Cases of Crunch DAO

12:52 Challenges and Solutions in AI and Machine Learning

16:43 Client Engagement and Data Management

22:47 Protecting Intellectual Property in AI Models

23:41 Challenges of Overfitting in Data Science

24:43 Live Data Testing and Model Validation

26:17 Diverse Approaches to Machine Learning

28:09 Intersection of Crunch and Blockchain Technology

29:33 Ensuring Fair Rewards for Model Creators

31:04 Trusted Execution Environments for Code Security

36:31 Future of AI and Human Intuition

41:23 Current State and Future Plans for Crunch

44:35 Conclusion and Final Thoughts

Follow us:

Twitter: @DefiPodcast

Follow the Hosts:

@Bill_Tanyeri

@JFSaine

@RhettShipp

Disclaimer: Nothing discussed on this podcast constitutes financial advice. The hosts and guest may hold positions in some of the assets or projects mentioned during the episode. Please consult a professional investment advisor and do your own research before making any financial decisions.

#DeFi #AI #Blockchain #CrunchDAO #DataScience #MachineLearning

  continue reading

32 episodes

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