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    crowdsourcing

    Explore "crowdsourcing" with insightful episodes like "The Sunday Read: ‘Podcasters Took Up Her Sister’s Murder Investigation. Then They Turned on Her’", "reCAPTCHA and Duolingo: Luis von Ahn (2020)", "Richard Craib - Crowdsourcing Predictive Algorithms - [Invest Like the Best, EP.102]" and "Caffeine Cast: The License to Print Money [Business, mindset, entrepreneur, disruptors]" from podcasts like ""The Daily", "How I Built This with Guy Raz", "Invest Like the Best with Patrick O'Shaughnessy" and "Disruptors"" and more!

    Episodes (4)

    The Sunday Read: ‘Podcasters Took Up Her Sister’s Murder Investigation. Then They Turned on Her’

    The Sunday Read: ‘Podcasters Took Up Her Sister’s Murder Investigation. Then They Turned on Her’

    Liz Flatt drove to Austin, Texas, mostly out of desperation. She had tried talking with the police. She had tried working with a former F.B.I. profiler who ran a nonprofit dedicated to solving unsolved murders. She had been interviewed by journalists and at least one podcaster. She had been featured on a Netflix documentary series about a man who falsely confessed to hundreds of killings.

    Although she didn’t know it at the time, Flatt was at a crossroads in what she had taken to calling her journey, a path embarked on after a prayer-born decision five years earlier to try to find who killed her sister, Deborah Sue Williamson, or Debbie, in 1975. It was now 2021.

    She had come to Austin for a conference, CrimeCon, which formed around the same time that Flatt began her quest, at a moment now seen as an inflection point in the long history of true crime, a genre as old as storytelling but one that adapts quickly to new technologies, from the printing press to social media. Flatt met a woman who would later put her in touch with two investigators who presented at the conference that year: George Jared and Jennifer Bucholtz. They were podcasters, but Jared was also a journalist and Bucholtz an adjunct professor of forensics and criminal justice at the for-profit American Military University. Their presentation was on another cold case, the murder of Rebekah Gould in 2004, whose killer they claimed to have helped find using a technique that has quickly become a signature of the changing landscape of true crime: crowdsourcing.

    reCAPTCHA and Duolingo: Luis von Ahn (2020)

    reCAPTCHA and Duolingo: Luis von Ahn (2020)

    In 2000, Luis von Ahn was starting his PhD in computer science when he attended a talk and happened to learn about one of Yahoo's biggest problems: automated bots were signing up for millions of free Yahoo email accounts, and generating tons of spam. Luis' idea to solve this problem became CAPTCHA, the squiggly letters we type into a website to prove we're human. He gave away that idea for free, but years later, that same idea had evolved into a new way to monetize language learning on the web, and became Duolingo. Today, Duolingo is a publicly-traded company with a market cap of $9 billion.

    This episode was produced by Casey Herman, with music composed by Ramtin Arablouei. It was edited by Neva Grant.

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    Richard Craib - Crowdsourcing Predictive Algorithms - [Invest Like the Best, EP.102]

    Richard Craib - Crowdsourcing Predictive Algorithms - [Invest Like the Best, EP.102]
    I intentionally avoid the world of quantitative investing on this podcast. The whole point of this format is to learn about many different fields, and the vast majority of my time is already spent in quant world. Occasionally I’ve broken this rule because of something unique, including this week’s conversation with Richard Craib, the founder and CEO of Numerai. If you listen to the podcast often you’ll have heard me reference Numerai, a hedge fund which blends quant investing, cryptocurrencies, crowdsourcing, and machine learning — talk about a PR company’s dream. One important note: Numerai is both incredibly open and very secretive. You may sense a bit of frustration on my part, but that is only because, as a fellow quant who loves details about data and modeling, we couldn’t go deeper into the details on the record. We discuss how Numerai has created an incentive structure to work with data scientists around the world in an attempt to build better investing models. The idea of having data scientists stake cryptocurrency in support of the quality of their models is fascinating. Like many hedge funds, Numerai doesn’t share its track record, so we don’t know if this works—but I hope you, like me, use this conversation as inspiration for how different technologies can intersect. Hash Power is presented by Fidelity Investments Please enjoy my conversation with Richard Craib.   For more episodes go to InvestorFieldGuide.com/podcast. Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub. Follow Patrick on Twitter at @patrick_oshag   Show Notes 2:32 - (First Question) – How he came up with Numerai and how its related to his background 4:08 – How he works with and models the data for his system 5:24 – Describing machine learning as it relates to his work, and specifically linear regression 7:11 – The important stages in his sequence 8:46 – How the scale in the number of data scientists they use is different from other areas 11:30 – Which is the most important aspect of creating alpha; their data, algorithm work, proprietary ensembling of those algorithms. 14:30 – The idea of staking in blockchain 17:30 – Does the magnitude of the stake matter in blockchain 19:10 – Understanding the full incentive structure for both staked and unstaked work 21:07 – How is the prize pool determined 22:29 – Philosophy on how to source interesting data 26:11 – His thoughts on the crowd model and the wisdom of crowds 27:12 – The size of stakers for Numerai 27:51 – Interpreting the models and knowing when something is broken 30:03 – How they think about people not submitting their models 31:48 – Their model building 32:39 – Most interesting set of things they are working on to improve the overall process             35:38 – The Market for "Lemons": Quality Uncertainty and the Market Mechanism 37:11 – How people can come along with their own data 39:00 – His thoughts on the quantitative investment community 40:44 – What else is interesting him in the hedge fund world 44:03 – Building a marketplace and staving off competition 46:16 – Kindest thing anyone has done for him   Learn More For more episodes go to InvestorFieldGuide.com/podcast.  Sign up for the book club, where you’ll get a full investor curriculum and then 3-4 suggestions every month at InvestorFieldGuide.com/bookclub Follow Patrick on twitter at @patrick_oshag

    Caffeine Cast: The License to Print Money [Business, mindset, entrepreneur, disruptors]

    Caffeine Cast: The License to Print Money [Business, mindset, entrepreneur, disruptors]

    On this caffeine cast, Rob talks about how you can de-risk failing in your business, cash flow difficulties or profit issues. How crowdsoursing can help you identify what your market needs and make your customers be involved in the creation process. Test your products or services, care for your customers, try to find out their pains, challenges, preferences and be prepared for success.

     

    [Business, mindset, entrepreneur, disruptors]

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    ABOUT THE HOST

    Rob Moore is an author of 9 business books, 5 UK bestsellers, holds 3 world records for public speaking, entrepreneur, property investor, and property educator. Author of the global bestseller “Life Leverage” Host of UK’s No.1 business podcast “Disruptors”

    “If you don't risk anything, you risk everything”

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