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Knowledge Project: Winning at the Great Game (Part 2)


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Podcast Notes Key Takeaways
  • Sometime in the next few decades, an algorithm, or a robot powered by an algorithm, is going to do whatever you do, better, faster, more reliably, and cheaper
  • When you use Google, Facebook, or Amazon, they’re all gathering data on you
    • They’re then able to use that data, and monetize it
  • We tend to think that the more information we get, the better decisions we’ll make – that’s not usually true
    • Extra information, just feeds our confirmation bias
    • We tend to have our decisions made, after receiving only a few pieces of information – more information just makes us more confident in a decision we’ve already made
  • As you become an expert in a particular field – You learn what not to pay attention, so that you can give more attention to what’s important
  • “The secret to learning anything is rehearsing”
    • Break what you’re learning down into sub-skills, and then rehearse each of those individually


Read the full notes @ podcastnotes.org



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Author, educator, and hedge fund advisor, Adam Robinson returns for part 2 of our fascinating discussion. We talk chess, AI, handicapping horse races, and the secret to learning that nobody is teaching.

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For comprehensive show notes on this episode, including a full edited transcript, go to https://fs.blog/podcast/

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