BTC157: Personal AI Models and Bitcoin w/ Jeff Booth (Bitcoin Podcast)
We Study Billionaires - The Investor’s Podcast Network
The Efficiency of Narrow AI: A Personal Insight
This chapter explores the differences between narrow AI and general AI, using a personal story about a robotic arm that finds 'Waldo' as an example. The discussion highlights the efficiency of narrow AI in specific tasks while acknowledging the potential future advancements of general AI.
IN THIS EPISODE, YOU’LL LEARN:
- Why is Jeff training an AI agent to personify himself?
- How could such an agent potentially be used in the future?
- What does this mean for overall productivity for people that have the means to train such an agent?
- What other things might happen as a result of this AI growth?
- What is the difference between the way Jeff is training his AI versus the way Preston is training his?
- What method will win in the long-haul for training AI agents?
- Is there concern people should have with providing the data for these agents?
- How does Bitcoin enter into this equation?
- Why are Jeff and Preston so interesting in the FinCEN proposal that was recently released for comment?
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
BOOKS AND RESOURCES
- Jeff's VC Firm Ego Death Capital.
- Jeff Booth's Twitter.
- Jeff's book, The Price of Tomorrow.
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