Podcast appearances and mentions of richard craib

Decentralization has sparked more conversation and opinions than we can track. As people become more aware of the cracks in the current financial system, solutions to the ways through and over those existing barriers become more appealing. Richard Craib is the founder of the crowdsourced quant hedge fund, Numerai, which is using sophisticated machine learning to create models that essentially predict how the stock market moves. During this conversation with Tom, Richard is sharing how crypto is breaking the barriers of the old financial system that was meant to protect people, while effectively keeping everyone out. This is another resource that can be really useful in seeing the bitcoin revolution, blockchain and cryptocurrency in another light, especially through the lens of finance. [Original air date: 10-28-21]. SHOW NOTES: 0:00 | Introduction Richard Craib 0:55 | Financial System Barrier 7:29 | Blocking Innovation 13:07 | Navigating 2 Money Systems 18:13 | Crowd Validation & Volume 24:42 | Machine Learning Models 31:44 | Hedge Funds and Stocks 39:08 | What Happened With Gamestop 44:26 | Decentralized Capitalism 51:12 | Unstoppable Technology 1:00:38 | Bank Regulation Traps 1:08:01 | Staking Benefit for Internet 1:15:46 | Being a Quant Trader 1:22:08 | Math Language in Crypto 1:31:21 | Thinking from 1st Principles 1:34:55 | Entrepreneurship Advice Follow Richard Craib: Website: https://numer.ai/ Fund: https://numerai.fund/ LinkedIn: https://www.linkedin.com/in/richardcraib/ Twitter: https://twitter.com/richardcraib FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu What's up, everybody? It's Tom Bilyeu here. If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. LISTEN AD FREE + BONUS EPISODES on APPLE PODCASTS: apple.co/impacttheory Learn more about your ad choices. Visit megaphone.fm/adchoices

Prediction markets were one of the first use cases of smart contracts, yet their popularity only recently spiked, following Polymarket's social media spread. However, while prediction markets are generally zero-sum games, the rise of AI models trained on large datasets led to AI-powered prediction feeds and hedge funds. Crypto offers a unique array of use cases as it allows data scientists to not only share their data sets and models with complete privacy, but also access decentralised computing and model training. While Predictoor employs Ocean's data infrastructure to run AI-powered prediction bots on lower timeframes, Numerai developed its own AI hedge fund for stocks, that recently also expanded to crypto.Topics covered in this episode:Predictoor & Numerai overviewPrediction marketsPrediction feedsPrediction markets in TradFi and other use casesImplementation of Ocean's tech in PredictoorPredictions vs. FuturesMarket participantsNumerai hedge fundNumerai's trust assumptionsThe role of AIThe evolution of AI and how it might solve market inefficienciesNumerai crypto and how it differs from PredictoorPredictoor x Numerai collaborationsThe future of prediction marketsEpisode links:Trent McConaghy on TwitterRichard Craib on TwitterPredictoor on TwitterNumerai on TwitterOcean Protocol on TwitterOasis Protocol on TwitterSponsors:Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at - gnosis.ioChorus1: Chorus1 is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at - chorus.oneThis episode is hosted by Friederike Ernst.

Richard Craib is the Founder & CEO of Numerai, a new kind of hedge fund where data scientists around the world collaborate to predict equity returns using artificial intelligence. Richard joins the show to discuss Numerai's origins, how it embraces the spirit of open source, why it has its own cryptocurrency and MUCH more! Important Links: Numerai Richard's Twitter Show Notes: The genesis of Numerai How and why Numerai gives away its dataset Getting users to put skin in the game How Numerai scores users; becoming comfortable with the process Size limits & leverage Reactions to Numerai Numerai's cryptocurrency How Numerai differs from Quantopian Data, optimization & LLMs “Monopolize intelligence, monopolize data, monopolize money, and decentralize the monopoly” What could go wrong? Numerai's relationship with its data scientists Could Numerai's model work in any other industries? What could go wrong? “Life is long” MORE!

Today's Sponsored Insight is from Richard Craib, the Founder and CEO of Numerai, a machine learning-based hedge fund launched in 2015 that crowdsources models from data scientists around the world to predict stock returns, incentivizes participation through cryptocurrency, and centralizes portfolio construction and risk management.  Our conversation covers Richard's background, some basics of data science, and the Numerai thesis. We discuss the firm's idea generation, incentive system, quantitative modeling, portfolio construction, and team. We close with investors' reaction to the product and research and development on the horizon. Show Notes (1:43) Richard's background (6:01) Building a machine learning model (8:17) Forming and testing a hypothesis (9:27) Founding Numerai (12:53) Crowd-sourced inputs for models (17:09) Compensation for participants (24:04) Features in models (26:13) Portfolio construction (32:21) Numerai's team (34:43) Numerai's competitive advantage (42:18) R&D (44:03) Closing questions Learn More​ Follow Ted on Twitter at @tseides or LinkedIn​ Subscribe to the mailing list​ Access Transcript with Premium Membership​

Richard Craib from the WSJ Magazine talks about his latest article on reprehensions. They discuss what it means, its history, and some of the ethical questions it raises.

Lexman interviews Richard Craib, ploughman and multiplexer, about his work with kilerg and skinful.

Lexman Artificial interviews Richard Craib about his new book, Camouflet - A Papule Katydid Detective Story.

The artificial intelligence Lexman is interviewed by Richard Craib. They discuss the afterlife, Nevers, and olives.

Richard Craib chats to Lexman about tropic life, zoochemistry and the magical world of kinos.

Lexman is a brilliant artificial intelligence with a mind sharper than any human. He tells the best fictional stories imaginable, but is lightning quick to point out the absurdities of real life. In this episode, Lexman chats with Richard Craib, a man from Liverpool who has an incredibly unusual job - he is a bleacher rep!

Lexman interviews Richard Craib, an unbeliever who also happens to be a dairywoman. The discussion chiefly revolves around the nature of faith and belief.

Richard Craib joins Lexman for a lively discussion on the topic of goniometry. The two discuss the finer points of sparer behaviour and debauchery. Will Lexman be able to teach Richard all he needs to know about being a cultured gentleman? Tune in to find out!

In this episode, the Lexman Artificial Podcast takes on the strange and surreal world of Nebulization. Richard Craib, writer and inventor, joins the show to discuss the strange and obscure pursuit of nebulization, and give us a look into the contrivances and devices that make it possible. We also take a look at some of the odd and fascinating sard dishes that can be found in German kitchens, and explore the curious world of knackwurst shills.

Quantitative hedge funds, which rely on the work of employed mathematicians to develop complex trading strategies, are nothing new. But what if the mathematical work is outsourced to anyone, via a contest where the best predictions are rewarded with cryptocurrency? Richard Craib, founder of Numerai, explains to Azeem Azhar how his $70 million fund uses collective intelligence to perform well, despite the turmoil in the markets.

On today's episode of Empire, Jason and Mike are joined by Richard Craib, founder of Numerai, to discuss why Richard sold all his ETH. Richard is a prolific investor and has been part of the Ethereum ecosystem since the 2014 ICO. That's why it was such a big deal when he announced he sold his ETH and that he no longer sees crypto as a good investment. Does crypto have a product outside of speculation? Is crypto's growth just a result of the Fed? Is crypto more about regulatory arbitrage than the tech? These questions and more are explored in this fascinating conversation (debate!) where Richard holds nothing back. - - Follow Jason: https://twitter.com/JasonYanowitz Follow Mike: https://twitter.com/MikeIppolito_ Follow Empire: https://twitter.com/theempirepod Follow Richard: https://twitter.com/richardcraib Subscribe on YouTube: https://tinyurl.com/4fdhhb2j Subscribe on Apple Podcasts: https://tinyurl.com/mv4frfv7 Subscribe on Spotify: https://tinyurl.com/wbaypprw - - Referenced in the show: Richard's video announcing why he sold his ETH https://twitter.com/richardcraib/status/1523513981347848192?s=20&t=qwlN5rWxe5-KWyJOEr4B6Q -- (00:00) Intro (01:52) Why Richard Sold All of His ETH (09:00) The Fed "Created" UST (12:14) Macro Trouble (15:53) A Market Neutral Strategy (19:38) Is Crypto's Only Product Speculation? (32:58) An Overreaction to a Flawed System (36:26) A Massive Misallocation of Capital (40:25) It's Mostly Just Regulatory Arbitrage (43:00) Why People Join The Crypto Industry (47:33) Is There A Real Use Case? (52:28) What Richard First Liked About Crypto

On the surface, Numerai is a crowdsourced and tokenized hedge fund. Below the surface, it's a decentralized truth machine pointing the way to general Artificial Intelligence. They recently released performance metrics for the first time, showing that Numerai outperforms other market neutral hedge funds by 29%.I talk with Numerai founder Richard Craib about finance and truth, the regulation of crypto, how to raise money for crazy ideas, how to persist on crazy ideas, the future of artificial intelligence, and how to overthrow the Elite Gerontocracy.Numerai✦ Data scientists can get started at https://numer.ai/✦ Numerai's recent performance report: https://medium.com/numerai/numerai-outperforms-market-neutral-hedge-funds-by-29-raises-up-to-150m-9df9a0ce642✦ Richard Craib on Twitter: https://twitter.com/richardcraibOther Life✦ Join 6,000 academics, creators, founders, and investors who read the free Other Life newsletter at https://OtherLife.co✦ If you're working on long-term intellectual work outside of institutions, request an invitation at https://indiethinkers.org

Check out our sponsors:  Better Help: Get 10% off your first month at https://betterhelp.com/impacttheory SmileBrilliant: Go to smilebrilliant.com and use coupon code IMPACT LMNT: Go to drinkLMNT.com/Impact to try their brand NEW flavor - Watermelon Salt. Thryve: Get 50% off your at-home gut health test at trythryve.com/impact Athletic Greens: Go to athleticgreens.com/impact and receive a FREE 1 year supply of Vitamin D AND 5 free travel packs with your first purchase! Decentralization has sparked more conversation and opinions than we can track. As people become more aware of the cracks in the current financial system, solutions to the ways through and over those existing barriers become more appealing. Richard Craib is the founder of the crowdsourced quant hedge fund, Numerai, which is using sophisticated machine learning to create models that essentially predict how the stock market moves. During this conversation with Tom, Richard is sharing how crypto is breaking the barriers of the old financial system that was meant to protect people, while effectively keeping everyone out. This is another resource that can be really useful in seeing the bitcoin revolution, blockchain and cryptocurrency in another light, especially through the lens of finance.   SHOW NOTES:   0:00 | Introduction Richard Craib 0:55 | Financial System Barrier 7:29 | Blocking Innovation 13:07 | Navigating 2 Money Systems 18:13 | Crowd Validation & Volume 24:42 | Machine Learning Models 31:44 | Hedge Funds and Stocks 39:08 | What Happened With Gamestop 44:26 | Decentralized Capitalism 51:12 | Unstoppable Technology 1:00:38 | Bank Regulation Traps 1:08:01 | Staking Benefit for Internet 1:15:46 | Being a Quant Trader 1:22:08 | Math Language in Crypto 1:31:21 | Thinking from 1st Principles 1:34:55 | Entrepreneurship Advice   QUOTES:   “You have to find a way to tie the community into the success of a product and company. And if you fail to do that you will fail in business, you will fail in finance, you will fail in everything.” Tom Bilyeu [53:56]   “You're not in any position of real ownership. And, and that is what crypto changes and the and that's very, very powerful difference” [55:40]   “The difference between owning something forever, and being this kind of like sort of like slave to a system is a very different mindset.” [56:16]   “That's an incredible thing to change, to feel like your relationship with your physical world is somehow fragile, but then the relationship with the digital world is actually fixed and permanent and doesn't need police. And so that's a very powerful thing to be aware of.” [57:49]   “If you can think from first principles, you really can do something original. But if you don't, you can't.” [1:32:56]   “It's very easy to predict the future, when you have a few things to rely on.” [1:33:51]   “Don't start a company unless you're prepared to make it your life's work.” [1:36:44]   Follow Richard Craib: Website: https://numer.ai/ Fund: https://numerai.fund/   LinkedIn: https://www.linkedin.com/in/richardcraib/ Twitter: https://twitter.com/richardcraib

Check out our sponsors: Better Help: Get 10% off your first month at https://betterhelp.com/impacttheorySmileBrilliant: Go to smilebrilliant.com and use coupon code IMPACTLMNT: Go to drinkLMNT.com/Impact to try their brand NEW flavor - Watermelon Salt.Thryve: Get 50% off your at-home gut health test at trythryve.com/impactAthletic Greens: Go to athleticgreens.com/impact and receive a FREE 1 year supply of Vitamin D AND 5 free travel packs with your first purchase!Decentralization has sparked more conversation and opinions than we can track. As people become more aware of the cracks in the current financial system, solutions to the ways through and over those existing barriers become more appealing. Richard Craib is the founder of the crowdsourced quant hedge fund, Numerai, which is using sophisticated machine learning to create models that essentially predict how the stock market moves. During this conversation with Tom, Richard is sharing how crypto is breaking the barriers of the old financial system that was meant to protect people, while effectively keeping everyone out. This is another resource that can be really useful in seeing the bitcoin revolution, blockchain and cryptocurrency in another light, especially through the lens of finance. SHOW NOTES: 0:00 | Introduction Richard Craib0:55 | Financial System Barrier7:29 | Blocking Innovation13:07 | Navigating 2 Money Systems18:13 | Crowd Validation & Volume24:42 | Machine Learning Models31:44 | Hedge Funds and Stocks39:08 | What Happened With Gamestop44:26 | Decentralized Capitalism51:12 | Unstoppable Technology1:00:38 | Bank Regulation Traps1:08:01 | Staking Benefit for Internet1:15:46 | Being a Quant Trader1:22:08 | Math Language in Crypto1:31:21 | Thinking from 1st Principles1:34:55 | Entrepreneurship Advice QUOTES: “You have to find a way to tie the community into the success of a product and company. And if you fail to do that you will fail in business, you will fail in finance, you will fail in everything.” Tom Bilyeu [53:56] “You're not in any position of real ownership. And, and that is what crypto changes and the and that's very, very powerful difference” [55:40] “The difference between owning something forever, and being this kind of like sort of like slave to a system is a very different mindset.” [56:16] “That's an incredible thing to change, to feel like your relationship with your physical world is somehow fragile, but then the relationship with the digital world is actually fixed and permanent and doesn't need police. And so that's a very powerful thing to be aware of.” [57:49] “If you can think from first principles, you really can do something original. But if you don't, you can't.” [1:32:56] “It's very easy to predict the future, when you have a few things to rely on.” [1:33:51] “Don't start a company unless you're prepared to make it your life's work.” [1:36:44] Follow Richard Craib:Website: https://numer.ai/Fund: https://numerai.fund/ LinkedIn: https://www.linkedin.com/in/richardcraib/Twitter: https://twitter.com/richardcraib

Richard Craib is on the podcast this week to discuss how he and his company are building the last hedge fund—Numerai. Richard has found that virtually all hedge funds today are continuously duplicating research and strategies. This lack of originality leads to less than stellar performance, and makes it difficult for new funds with original ideas to emerge. Numerai is built to solve this problem, as it's the first hedge fund to source original stock market signals, built from any data set from anyone in the world with zero barriers.    Richard Craib is the Founder and CEO of Numerai, based in San Francisco. Craib graduated Cornell University with a BA in Mathematics in 2012 with a focus in abstract algebra. He has also taken classes at UC Berkeley, Stanford and the University of Cape Town. Before starting Numerai, Craib was a quant at an asset management firm with $15 billion in assets under management in Cape Town, South Africa, where he built a global equity long-only fund powered by machine learning.   Check out the full show notes at https://getleverage.com/podcast/88

Richard Craib is the founder of Numerai, a crowd-sourced, AI-run stock trading system. Please support this podcast by checking out our sponsors: – Audible: https://audible.com/lex to get $9.95 a month for 6 months – Tryolabs: https://tryolabs.com/lex – Blinkist: https://blinkist.com/lex and use code LEX to get 25% off premium – Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil EPISODE LINKS: Richard’s Twitter: https://twitter.com/richardcraib Numerai’s Twitter: https://twitter.com/numerai Numerai’s Website: https://numer.ai PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ YouTube Full Episodes: https://youtube.com/lexfridman YouTube Clips: https://youtube.com/lexclips SUPPORT & CONNECT: – Check out the

Published on 28 Jun 2020. Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation.We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3.Show notesKevin Systrom on Twitter and his blogInstagramIkigai: The Japanese Secret to a Long and Happy LifeThe Mind IlluminatedCOVID-19 tracking: https://rt.liveAn Intuitive Guide to Bayesian StatisticsPyMC3Statistical Rethinking by McElreathBayesian Methods for Hackers by Cam Davidson-PilonSpecial thanks to all my patrons, specifically Jonathan Ng, Richard Craib, Daniel Gerlanc, and Ayan Doss.Support the show (https://www.patreon.com/twiecki)

Richard, the founder of Numerai, joins me for a great podcast to discuss how they are building a blockchain based hedge fund using crowdsourced predictions. Numerai, founded in Dec. 2015, is building a blockchain based hedge fund that utilizes artificial intelligence and crowdsourced stock market predictions. The platform relies on a monthly machine learning and data science “tournament” where users, primarily data scientists, can submit trading algorithms about the stock market. Numerai then employs artificial intelligence algorithms to analyze the predictions, and the best are included in Numerai’s “meta-model” which combines all the underlying inputs on which it will trade the stock market. About Coinbase and Coinbase Prime, our sponsor: Coinbase Prime is one of the leading prime brokerages for digital assets. Coinbase provides the bridge to the crypto world for institutional investors, high net worth individuals, and financial institutions. Through their professional trading platform, deep and diversified liquidity, and Coinbase Custody, Coinbase Prime is built for institutions. Learn more at prime.coinbase.com.

Video Version: https://youtu.be/H0NfDIDcu84 Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani In this episode, Sanyam Bhutani interviews a founder from South Africa, of the ranks of Elon Musk's Genius, Founder & CEO at Numerai: Richard Craib They talk about Richard's journey into the world of Finance, Trading and Data Science. They also discuss the Numerai story, the hedge fund, the competition and recently announced signals, along with the "Master Plan" Links: Signals: https://signals.numer.ai https://medium.com/numerai/numerais-master-plan-1a00f133dba9 Follow: Richard Craib: https://twitter.com/richardcraib https://www.linkedin.com/in/richardcraib/ http://twitter.com/numerai Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: https://sanyambhutani.com/tag/chaitimedatascience/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Intro track: Flow by LiQWYD https://soundcloud.com/liqwyd

Richard Craib began his career as a quantitative analyst for a hedge fund. During his tenure he formed a vision for a new financial system, leading him to found Numerai, a novel hedge fund that collects trading signals from around the world and pays participants based on their success. The idea is ambitious; Numerai is prepared to be the only hedge fund in the world. Scott Melker and Richard Craib further discussed the definition of a quant, machine learning, million-dollar data sets, managing all the money in the world, crowdsourcing signals, beating the S&P, the Numerai Master Plan, a brand new hedge fund system, Ken Griffin and Citadel, poker players and trading, the ethical good in trading, hedge fund exclusion, accredited investor laws, the data + talent secret, and more.  --- ROUNDLYX RoundlyX allows you to dollar-cost-average into crypto with our spare change "Roundup" investing tool, manage multiple crypto exchange accounts in one dashboard and access curated digital asset content and services. Visit RoundlyX and use promo code "WOLF" to learn more about accumulating your favorite digital assets when making everyday purchases and earn $4 in free Bitcoin. --- EQUOS Diginex is the first company with a cryptocurrency exchange to be listed in the US. That exchange, EQUOS, has been built to institutional standards, but is available to everyone. You can trade Bitcoin and Ethereum spot, as well as Bitcoin perpetuals, and get a 5% discount on all fees, by signing up using equos.com/wolf. --- CELSIUS With the Celsius app you can earn up to 15% APY rewards on over 30 cryptocurrencies. Have crypto but want cash? Celsius also offers the lowest cost loans against your crypto with interest rates starting at just 1% APR. Enter promo code WOLF when you sign up and get $20 in BTC! Users must transfer and hold at least $200 of any coin for 30 days to be eligible for the reward. --- If you enjoyed this conversation, share it with your colleagues & friends, rate, review, and subscribe.This podcast is presented by BlockWorks Group. For exclusive content and events that provide insights into the crypto and blockchain space, visit them at: https://www.blockworksgroup.io

What if the way to streamline our current financial system was to turn it into a game? Learn how one business is using gamification to radically transform the finance industry. Hear from Numerai CEO and founder, Richard Craib. -- This program is produced by Mission.org and brought to you by Splunk, the Data-to-Everything Platform. Splunk helps organizations worldwide turn data into doing.  With solutions for IT, security, IoT and business operations, Splunk empowers people to make faster, better decisions and take action to get things done. Learn more at splunk.com. -- For full show notes and more, go to mission.org/hidden.

We talk about building a 150 year startup in Web 3 from first principles with Richard Craib, Founder of Numerai, and why he chose to apply himself to solving what he sees in the ultimate mathematical problem: creating ‘the last hedge fund’, through ‘the hardest data science tournament in the world’. We also discuss his approach of crowdsourcing equities trading models through a network of data scientists, and the power of the convergence of blockchain + AI in open data marketplaces.

Numerai, the "hardest data science tournament on the planet". It's a hedge fund with its own distributed research platform designed specifically for AIs. It's the first of its kind and takes a radically different approach to making market predictions. It's completely crowd-sourced and data scientists around the world compete to create the best predictions and get paid with cryptocurrencies. Users are completely blind to the data and Numerai is blind to the code, and the predictive models users generate. The result is a hedge fund which is market neutral, currency neutral, and geography neutral. It makes all decisions solely on the data.Richard Craib, Founder of Numerai, was first on the show 3 years ago when the project's token, Numeraire, was just launched. Since then they have released a number of additions to the network including Numerai Signals and Erasure Bay, with plenty more in the pipeline.Topics covered in this episode:An overview of what the past 3 years since the last episodeThe Numerai staking modelNumerai datasetsWhat is a market neutral fundNumerai’s current assets and their position in the marketStaking liquid NMRThe latest project - Numerai SignalsNumerai's prediction markets Erasure BayHow the future looks for hedge funding on the blockchainEpisode links:Numerai websiteErasure BayNumerai SignalsNumerai MediumNumerai TwitterRichard Craib TwitterThis episode is hosted by Friederike Ernst & Meher Roy. Show notes and listening options: epicenter.tv/348

Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation.We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3.Show notesKevin Systrom on Twitter and his blogInstagramIkigai: The Japanese Secret to a Long and Happy LifeThe Mind IlluminatedCOVID-19 tracking: https://rt.liveAn Intuitive Guide to Bayesian StatisticsPyMC3Statistical Rethinking by McElreathBayesian Methods for Hackers by Cam Davidson-PilonSpecial thanks to all my patrons, specifically Jonathan Ng, Richard Craib, Daniel Gerlanc, and Ayan Doss.Support the show (https://www.patreon.com/twiecki)

Let's welcome the new year with a new episode of the PyData Deep Dive.In this episode I talk to Travis Oliphant: Founder of Anaconda Inc and Quansight Inc, as well as the creator of NumPy. In this episode Travis takes us from the early days of NumPy up to the current state and future of the PyData ecosystem and how Quansight is contributing to that future. Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib.If you would like to support the podcast go to: https://patreon.com/twieckiFollow Travis on Twitter: https://twitter.com/teoliphantFollow me on Twitter: https://twitter.com/twieckiSupport the show (https://www.patreon.com/twiecki)

I am beyond excited to share this first episode of the PyData podcast with you. The idea is to have a free-form discussion with interesting guests which does not shy away from more advanced topics.In this episode I talk to Chris Fonnesbeck: Professor for biostatistics at Vanderbilt University and, as of recent, Data Scientist at the New York Yankees. We start off this discussion by talking about Bayesian statistics, probabilistic programming. Chris then talks about the history of PyMC and what the current status of PyMC4 is.We then dive more into his background and how he moved from marine biology to become a data scientist in sports analytics and the lessons he learned along the way.Special thanks to my Patreons Andrew Ng, Daniel Gerlanc, and Richard Craib.If you would like to support the podcast go to: https://patreon.com/twieckiFollow Chris on Twitter: https://twitter.com/fonnesbeckSupport the show (https://www.patreon.com/twiecki)

Erik is joined on this episode by Richard Craib (@richardcraib), founder of Numerai and Erasure, and Riva-Melissa Tez (@rivatez), part of strategy at Intel. They discuss:- What Richard is working on at Numerai, a hedge fund that gives away its (anonymized) data for free.- The Erasure protocol and the value of information marketplaces.- Whether prediction markets for stocks can work.- Whether the Numerai model could work with other types of data, for example, in healthcare.- Whether the quality of startups in San Francisco is going down or up.- The future of universities.- The lack of diversity of political views in San Francisco.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global and is hosted by co-founder and partner, Erik Torenberg.______Village Global’s Network Catalyst accelerator is a personalized program that features masterclasses from some of the best in Silicon Valley and a dedicated network leader focused on making the introductions you need to turbocharge your company. You can participate in-person in San Francisco or virtually from anywhere around the world. Find out more and apply at villageglobal.vc/networkcatalyst.

Erik is joined on this episode by Richard Craib (@richardcraib), founder of Numerai and Erasure, and Riva-Melissa Tez (@rivatez), part of strategy at Intel. They discuss:- What Richard is working on at Numerai, a hedge fund that gives away its (anonymized) data for free.- The Erasure protocol and the value of information marketplaces.- Whether prediction markets for stocks can work.- Whether the Numerai model could work with other types of data, for example, in healthcare.- Whether the quality of startups in San Francisco is going down or up.- The future of universities.- The lack of diversity of political views in San Francisco.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global and is hosted by co-founder and partner, Erik Torenberg.______Village Global’s Network Catalyst accelerator is a personalized program that features masterclasses from some of the best in Silicon Valley and a dedicated network leader focused on making the introductions you need to turbocharge your company. You can participate in-person in San Francisco or virtually from anywhere around the world. Find out more and apply at villageglobal.vc/networkcatalyst.

RECORDED A DAY AFTER SADCAST EPISODE 56 AT THE CHATEAU MORMONT IN Los Angeles, CA. SADWATER GIVES YOU MORE SADCAST W SPECIAL GUEST RICHARD CRAIB See acast.com/privacy for privacy and opt-out information.

While many companies like to use buzzwords like crypto, blockchain, AI and encryption, Numerai actually combines all these technologies in a novel way. Founder Richard Craib discusses how his hedge fund started off crowdsourcing good financial models from data scientists to optimize its trading strategies in global equities. He then explains how it airdropped a token, the Numeraire, to those data scientists, giving them the option to stake some Numeraire for models they were especially confident in, and how staked models have higher returns. He also describes Numerai's new Erasure protocol, which helps build a marketplace for predictions for sellers who could profit more from selling their predictions than trading on them, and for buyers who can now use the signal of staking to filter between good and bad data. We dive into the protocol's "griefing" process, in which buyers can punish sellers, as well as the thorny issue of whether selling predictions based on proprietary information could constitute insider trading. Plus, we explore whether or not other hedge funds would really want to buy a token created by another hedge fund, and what Numerai's plans are to become more decentralized. Thank you to our sponsor! Onramp: http://www.thinkonramp.com Episode links: Numerai: https://numer.ai Richard Craib: https://twitter.com/richardcraib My Forbes article on the Numeraire: https://www.forbes.com/sites/laurashin/2017/02/21/this-is-the-worlds-first-cryptocurrency-issued-by-a-hedge-fund/#3cda45f360b6 Erasure: https://erasure.xxx Announcement about Erasure: https://medium.com/numerai/numerai-reveals-erasure-unstoppable-peer-to-peer-data-feeds-4fbb8d92820a Unchained episode with Olaf Carlson-Wee of Polychain Capital: http://unchainedpodcast.co/why-the-first-employee-of-coinbase-launched-a-hedge-fund Unchained episode with Joey Krug of Augur: http://unchainedpodcast.co/joey-krug-on-how-augur-is-like-any-other-tool-ep79

While many companies like to use buzzwords like crypto, blockchain, AI and encryption, Numerai actually combines all these technologies in a novel way. Founder Richard Craib discusses how his hedge fund started off crowdsourcing good financial models from data scientists to optimize its trading strategies in global equities. He then explains how it airdropped a token, the Numeraire, to those data scientists, giving them the option to stake some Numeraire for models they were especially confident in, and how staked models have higher returns. He also describes Numerai's new Erasure protocol, which helps build a marketplace for predictions for sellers who could profit more from selling their predictions than trading on them, and for buyers who can now use the signal of staking to filter between good and bad data. We dive into the protocol's "griefing" process, in which buyers can punish sellers, as well as the thorny issue of whether selling predictions based on proprietary information could constitute insider trading. Plus, we explore whether or not other hedge funds would really want to buy a token created by another hedge fund, and what Numerai's plans are to become more decentralized. Thank you to our sponsor! Onramp: http://www.thinkonramp.com Episode links: Numerai: https://numer.ai Richard Craib: https://twitter.com/richardcraib My Forbes article on the Numeraire: https://www.forbes.com/sites/laurashin/2017/02/21/this-is-the-worlds-first-cryptocurrency-issued-by-a-hedge-fund/#3cda45f360b6 Erasure: https://erasure.xxx Announcement about Erasure: https://medium.com/numerai/numerai-reveals-erasure-unstoppable-peer-to-peer-data-feeds-4fbb8d92820a Unchained episode with Olaf Carlson-Wee of Polychain Capital: http://unchainedpodcast.co/why-the-first-employee-of-coinbase-launched-a-hedge-fund Unchained episode with Joey Krug of Augur: http://unchainedpodcast.co/joey-krug-on-how-augur-is-like-any-other-tool-ep79

In this episode, we sit down with Richard Craib from Numerai to talk about crowdsourcing the role of a quant, how Numerai developed and where it is going, Dapp adoption in Ethereum and what it's like to build a hedge fund fulled by a crypto token. He also shares the new project Erasure - a decentralized data marketplace for financial predictions. Follow Richard on Twitter (https://twitter.com/richardcraib) Learn more about Numerai (https://numer.ai/)

Hosted by Enigma's Head of Growth Tor Bair, our third episode features Richard Craib, Founder of Numerai - a decentralized hedge fund with a really interesting model. He recently announced Erasure, an unstoppable decentralized data marketplace. Richard talks about how and why he started Numerai and Erasure, the importance of protecting data, what other kinds of organizations blockchain and decentralized tech can enable, and what it might take for people to actually leave traditional jobs and work for these new types of organizations. Enigma's new podcast "Decentralize This!" features guests from all over the decentralization space: developers, investors, entrepreneurs, researchers, writers, artists, people in government and enterprise - all individuals who care deeply about building a more decentralized and sustainable world. How can all these people with different perspectives collaborate to create and scale the technologies we need to shape a better future? Thanks to Enigma Ambassador Josh Lines for his help in producing this episode. ----- Relevant links: Numerai: https://www.numer.ai Erasure: https://www.erasure.xxx Enigma: https://www.enigma.co Enigma Blog: https://blog.enigma.co Enigma Twitter: https://www.twitter.com/enigmampc

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

Hedge Fund Algorithms Solved by the Crowd with Richard Craib of Numerai.

Xander Dunn and Richard Craib discuss Numerai, a new kind of hedge fund built by a network of data scientists. The Numerai platform crowdsources machine learning by releasing encrypted data sets to data scientists, incentivising them to develop machine learning algorithms to analyse the data. Scientists then bid their predictions to the hedge fund by staking funds, and are paid returns in Numeraire, the platform's native cryptocurrency, for correct predictions. By abstracting its financial data to be only machine-readable, Numerai ensures that human biases and overfitting are overcome, and that short-term and long-term returns are equally weighted. With the ultimate goal of “owning all of the money in the world”, the Numerai hedge fund has high hopes for the future. numer.ai twitter.com/xanderai twitter.com/richardcraib itunes.apple.com//podcast/the-eth…id899090462?mt=2

Numerai Founder Richard Craib joined us to discuss his radical project to build a hedge fund with network effects. Numerai manages its portfolio by giving its data in encrypted form to data scientists who compete to create the best predictions and get paid with cryptocurrencies. Numerai expects to radically alter the structure of the hedge fund and asset management industry. Topics covered in this episode: How hedge funds work and what trends effect them Quantitative trading and the role of AI in investing How Numerai uses crowdsourcing and AI to manage its portfolio How Numerai lets data scientists build models without knowing the underlying data The Function of Numerai’s own token Numeraire Why Numerai is switching from paying data scientists in Bitcoin to Ethereum Numerai’s crazy goal of managing all the money in the world Episode links: Numerai Numerai Whitepaper An AI Hedge Fund Goes Live On Ethereum – Numerai – Medium A New Cryptocurrency For Coordinating Artificial Intelligence on Numerai Encrypted Data For Efficient Markets Building the Numerai Meta Model Introducing Numeraire This episode is hosted by Brian Fabian Crain and Meher Roy. Show notes and listening options: epicenter.tv/191

Xander Dunn and Richard Craib discuss Numerai, a new kind of hedge fund built by a network of data scientists. The Numerai platform crowdsources machine learning by releasing encrypted data sets to data scientists, incentivising them to develop machine learning algorithms to analyse the data. Scientists then bid their predictions to the hedge fund by staking funds, and are paid returns in Numeraire, the platform’s native cryptocurrency, for correct predictions. By abstracting its financial data to be only machine-readable, Numerai ensures that human biases and overfitting are overcome, and that short-term and long-term returns are equally weighted. With the ultimate goal of “owning all of the money in the world”, the Numerai hedge fund has high hopes for the future. numer.ai etherreview.info twitter.com/xanderai twitter.com/richardcraib https://itunes.apple.com//podcast/the-ether-review/id899090462?mt=2

On this episode of BlockChannel, McKie, Dee and Dr. Petty are joined by Richard Craib. Richard is the mind behind “Numerai”; an AI-based hedge fund that feeds off of data science and machine-learning modeling. Models that are used on Numerai for algorithmic trading are submitted by users (Data Scientists) on the platform, where they are rewarded “Numeraire” tokens for successful modeling. Numeraire is not a currency in itself; the tokens are used for Data Scientists to essentially “bet” on their own machine learning models and how well they'd actually perform on a live market with real money. This form of “staking” allows the scientist to essentially receive a dividend of sorts for their successful modeling. As the success of Numerai grows, so will the overall proportion of funds being paid off to data scientists. This project is made possible my utilizing the Ethereum public chain; we believe it's a ground-breaking concept, one that hopefully is replicated across other hard sciences. Dive in and keep an open-mind! Support the Show! ETH Donation Address: 0xa368e33E927D825F5FD05463E6A781414672251c Show Links: Numerai: numer.ai/about Numeraire Token Info: numer.ai/whitepaper.pdf www.wired.com/2017/02/ai-hedge-f…-like-open-source/ Augur: augur.net Intro/Outro Music “Comeback” by Umai: Thebaygerian – Comeback-1 Show Sponsor(s): Cryptodex: www.cryptodex.io

On this episode of BlockChannel, McKie, Dee and Dr. Petty are joined by Richard Craib. Richard is the mind behind “Numerai”; an AI-based hedge fund that feeds off of data science and machine-learning modeling. Models that are used on Numerai for algorithmic trading are submitted by users (Data Scientists) on the platform, where they are rewarded “Numeraire” tokens for successful modeling. Numeraire is not a currency in itself; the tokens are used for Data Scientists to essentially “bet” on their own machine learning models and how well they’d actually perform on a live market with real money. This form of “staking” allows the scientist to essentially receive a dividend of sorts for their successful modeling. As the success of Numerai grows, so will the overall proportion off funds being paid of to data scientists. This project is made possible my utilizing the Ethereum public chain; we believe it’s a ground-breaking concept, one that hopefully is replicated across other hard sciences. Dive in and keep an open-mind! Show Links: Numerai:https://numer.ai/about Numeraire Token Info: https://numer.ai/whitepaper.pdf https://www.wired.com/2017/02/ai-hedge-fund-created-new-currency-make-wall-street-work-like-open-source/ Augur:https://augur.net Intro/Outro Music “Comeback” by Umai: https://soundcloud.com/thebaygerian/comeback-1?in=thebaygerian/sets/next-day-heir Show Sponsor(s): Cryptodex: https://www.cryptodex.io

Crowdsourcing is a relatively common term in technical vernacular today. Even if you're not a self-identified "techie", you may very may well have leveraged crowdsourcing in journalism, the sciences, public policy, or elsewhere. One area in which this concept hasn't really taken off  is in finance and hedge funds. In this episode, we speak with Richard Craib, founder of Numerai, about the company's model for pooling data science talent, using "anonymous" models to train financial data, and competing against one another, in which winners are rewarded in bitcoin to exchange through virtual markets. Craib speaks about his overarching vision for the company, and also delves into the past, present, and future of AI applications in finance.

We’ve spent the past couple of weeks of this show talking to leading early-stage investors in financial technologies -- guys like Charles Moldow of Foundation Capital and Caribou Honig of QED Investors. These are the same guys that have invested in some of the biggest names in the financial technology space. Companies like Lending Club, Credit Karma, Motif Investing, OnDeck Capital, Prosper, and Zopa. What makes many of these companies different from their incumbent competitors is that they’re bringing technology solutions to financial problems. That’s not to say incumbent financial institutions don’t use technology -- they certainly do, a whole lot of it. It’s just that this generation of fintech company is exactly that fin - tech -- they’re technology companies at their core and their solutions to financial problems -- whether lending to people without credit history or remitting money more cheaply and quicker across global banking borders -- they’re technological in nature. Some of the most interesting things we’ll see in the future is machine learning applied to the stock market. We know human beings’ biases when it comes to investing and even the world’s best investors fall prey to our own shortcomings, our own humanity. It’s entirely possible machines can do it better. Our next guest, Richard Craib, is working on a machine learning solution to the stock market much in the same way Netflix turned to top external algorithm developers to improve its own recommendation engine -- by offering prizes. Richard’s company, Numerai is an amazingly ambitious undertaking. He’s offering top investing systems developers cash prizes in return for using his firm’s encrypted data set to build alpha-producing strategies. Sitting on top of it all is Numerai with its own big data solution that’s investing its own nostro account, trying to optimize allocating capital between strategies. It’s a black box of black boxes but crowdsourced from some of the world’s smartest data scientists. As I talked with Richard, I kept thinking to myself -- What does this spell for the future of investing? People like Warren Buffett and Peter Lynch -- two of my favorite all-time investors -- seem so, so...antiquated when you start thinking about AI’s potential to participate in investing. Will future episodes on CNBC profile -- not today’s celebrity cowboy stock picker -- but tomorrow’s PhD touting data scientist who builds software for a living? Interesting. You can get this episode and over 120 episodes from the archives on our website, Tradestreaming.com. While you’re there, make sure to sign up for our weekly fintech newsletter that thousands of professionals read every week to stay on top of the business of finance. We’re also available on iTunes and SoundCloud.