web3 with a16z crypto

De: a16z crypto Sonal Chokshi Chris Dixon
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  • Sumário

  • "web3 with a16z" is a show about the next generation of the internet, and about how builders and users -- whether artists, coders, creators, developers, companies, organizations, or communities -- now have the ability to not just "read" (web1) + "write" (web2) but "own" (web3) pieces of the internet, unlocking a new wave of creativity and entrepreneurship. Brought to you by a16z crypto, this show is the definitive resource for understanding and going deeper on all things crypto and web3. From discussing the latest and leading trends to sharing research, data readouts, and insights from top scientists and makers in the space, this is a variety show with a variety of formats and topics listeners can pick and choose from. It is hosted by the longtime showrunner of (and original team behind) the popular a16z Podcast. Learn more at a16zcrypto.com.
    a16z crypto / Andreessen Horowitz
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Artes e Entretenimento Economia Gestão e Liderança
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Episódios
  • Prediction Markets and Beyond

    Prediction Markets and Beyond
    Nov 22 2024
    with @atabarrok @skominers @smc90We've heard a lot about the premise and the promise of prediction markets for a long time, but they finally hit the main stage with the most recent election. So what worked (and didn't) this time? Are they really better than pollsters, is polling dead? So in this conversation, we tease apart the hype from the reality of prediction markets, from the recent election to market foundations... going more deeply into the how, why, and where these markets work. We also discuss the design challenges and opportunities (including implications for builders throughout). And we also cover other information aggregation mechanisms -- from peer prediction to others -- given that prediction markets are part of a broader category of information-elicitation and information-aggregation mechanisms. Where do domain experts, superforecasters, pollsters, and journalists come in (and out)? Where do (and don't) blockchain and crypto technologies come in -- and what specific features (decentralization, transparency, real-time, open source, etc.) matter most, and in what contexts? Finally, we discuss applications for prediction and decision markets -- things we could do right away to in the near-future to sci-fi -- touching on trends like futarchy, AI entering the market, DeSci, and more. Our special expert guests are Alex Taborrok, professor of economics at George Mason University and Chair in Economics at the Mercatus Center; and Scott Duke Kominers, research partner at a16z crypto, and professor at Harvard Business School -- both in conversation with Sonal Chokshi. As a reminder: None of the following should be taken as business, investment, legal, or tax advice; please see a16z.com/disclosures for more important information. RESOURCES(from links to research mentioned to more on the topics discussed)The Use of Knowledge in Society by Friedrich Hayek (American Economic Review, 1945)Everything is priced in by rsd99 (r/wallstreetbets, 2019)Idea Futures (aka prediction markets, information markets) by Robin Hanson (1996)Auctions: The Social Construction of Value by Charles SmithSocial value of public information by Stephen Morris and Hyun Song Shin (American Economic Review, December 2002)Using prediction markets to estimate the reproducibility of scientific research by Anna Dreber, Thomas Pfeiffer, Johan Almenberg, Siri Isaksson, Brad Wilson, Yiling Chen, Brian Nosek, and Magnus Johannesson (Proceedings of the National Academy of Sciences (November 2015)A solution to the single-question crowd wisdom problem by Dražen Prelec, Sebastian Seung, and John McCoy (Nature, January 2017)Targeting high ability entrepreneurs using community information: Mechanism design in the field by Reshmaan Hussam, Natalia Rigol, and Benjamin Roth (American Economic Review, March 2022)Information aggregation mechanisms: concept, design, and implementation for a sales forecasting problem by Charles Plott and Kay-Yut Chen, Hewlett Packard Laboratories (March 2002)If I had a million [on deciding to dump the CEO or not] by Robin Hanson (2008)Futarchy: Vote values, but bet beliefs by Robin Hanson (2013)From prediction markets to info finance by Vitalik Buterin (November 2024)Composability is innovation by Linda Xie (June 2021)Composability is to software as compounding interest is to finance by Chris Dixon (October 2021)resources & research on DAOs, a16z crypto
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    1 hora e 48 minutos
  • Government... By Lottery?

    Government... By Lottery?
    Nov 2 2024

    with @baileyflan @ahall_research @rhhackett

    Today we’re dusting off an ancient practice that has become trendy once again: the old-but-new idea of “sortition,” or selecting representatives by lottery.

    Sortition was used in ancient Athenian democracy to elect public officials. It’s also been lately revived by tech companies like Meta and AI startups like OpenAI and Anthropic to tackle some of their thorniest policymaking challenges.

    Our guests today are experts on sortition, including Bailey Flanigan, a postdoctoral fellow at Harvard who is joining MIT as an assistant professor next year, and who has helped develop selection algorithms for sortition that are in use today. Also joining is Andrew Hall, Stanford University poli sci professor, advisor to Meta, and consultant to a16z crypto research.

    In this episode, we discuss why not to rely exclusively on expert authority, how the process of deliberation changes people’s minds, and how sortition can apply everywhere from the governance of countries to the governance of crypto projects, and more.

    Related resources:

    • Algorithms for fair, manipulation-robust, and transparent sortition with Bailey Flanigan

    As a reminder, none of the content should be taken as investment, business, legal, or tax advice. Please see a16z.com/disclosures for more important information, including a link to a list of our investments.
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    57 minutos
  • AI Bots & Memecoins

    AI Bots & Memecoins
    Oct 26 2024

    with @pmarca @bhorowitz

    Today we’re running a special episode featuring a16z cofounders Marc Andreessen and Ben Horowitz talking about AI bots and crypto. They discuss what happens when you mix postmodern theories and internet memes in an LLM. They also get into the sudden rise of a strange memecoin, the state of crypto regulation in the U.S., and more.

    This episode is a crossover from the Ben & Marc Show, which you can follow on YouTube or wherever you get your podcasts.

    See the original episode:

    • How An AI Bot Became a Crypto Millionaire

    As always, none of the content should be taken as tax, business, legal or investment advice. See a16z.com/disclosures for more important information, including a link to a list of our investments.
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    38 minutos

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