Podcasts about Numerai

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.

話した内容Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 今回は、2024年6月の結果、Claude 3.5 Sonnet、Numerai crypto、今週のKaggle・分析コンペ、雑談・来週話したいこと(Discord コミュニティ)について話しました。 #regonn_curry_fm  へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

John Dulin is the founder and CEO of Modern Intelligence, where they are building AI foundation models for defense. He was previously at Numerai and Freenome. (00:00) Introduction(00:08) The State of AI in Defense(03:17) AI Impact on Tactics in Conflicts(09:24) Real-Time Threat Assessment(18:21) Naval Operations and Maritime Surveillance(22:28) Startups and Maritime Technologies(25:58) Naval Dominance and Global Power(31:20) Multi-Intelligence in Defense(35:20) The AI Arms Race and the Future of Defense(38:59) Rapid Fire Round John's favorite book: Wilhelm Meister's Apprenticeship (Author: Johann Wolfgang von Goethe)--------Where to find Prateek Joshi: Newsletter: https://prateekjoshi.substack.com Website: https://prateekj.com LinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19 Twitter: https://twitter.com/prateekvjoshi 

話した内容Blog⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 今回は、2023年12月の目標、今週の分析コンペ、先週触ったサービス紹介、雑談・来週話したいこと(Numerai Grand Master)について話しました。 #regonn_curry_fm  へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

Please check out Numerai - our sponsor @ http://numer.ai/mlst Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB The Second Law: Resolving the Mystery of the Second Law of Thermodynamics Buy Stephen's book here - https://tinyurl.com/2jj2t9wa The Language Game: How Improvisation Created Language and Changed the World by Morten H. Christiansen and Nick Chater Buy here: https://tinyurl.com/35bvs8be Stephen Wolfram starts by discussing the second law of thermodynamics - the idea that entropy, or disorder, tends to increase over time. He talks about how this law seems intuitively true, but has been difficult to prove. Wolfram outlines his decades-long quest to fully understand the second law, including failed early attempts to simulate particles mixing as a 12-year-old. He explains how irreversibility arises from the computational irreducibility of underlying physical processes coupled with our limited ability as observers to do the computations needed to "decrypt" the microscopic details. The conversation then shifts to discussing language and how concepts allow us to communicate shared ideas between minds positioned in different parts of "rule space." Wolfram talks about the successes and limitations of using large language models to generate Wolfram Language code from natural language prompts. He sees it as a useful tool for getting started programming, but one still needs human refinement. The final part of the conversation focuses on AI safety and governance. Wolfram notes uncontrolled actuation is where things can go wrong with AI systems. He discusses whether AI agents could have intrinsic experiences and goals, how we might build trust networks between AIs, and that managing a system of many AIs may be easier than a single AI. Wolfram emphasizes the need for more philosophical depth in thinking about AI aims, and draws connections between potential solutions and his work on computational irreducibility and physics. Show notes: https://docs.google.com/document/d/1hXNHtvv8KDR7PxCfMh9xOiDFhU3SVDW8ijyxeTq9LHo/edit?usp=sharing Pod version: TBA https://twitter.com/stephen_wolfram TOC: 00:00:00 - Introduction 00:02:34 - Second law book 00:14:01 - Reversibility / entropy / observers / equivalence 00:34:22 - Concepts/language in the ruliad 00:49:04 - Comparison to free energy principle 00:53:58 - ChatGPT / Wolfram / Language 01:00:17 - AI risk Panel: Dr. Tim Scarfe @ecsquendor / Dr. Keith Duggar @DoctorDuggar

Please check out Numerai - our sponsor @ http://numer.ai/mlst Patreon: https://www.patreon.com/mlst Discord: https://discord.gg/ESrGqhf5CB Professor Jürgen Schmidhuber, the father of artificial intelligence, joins us today. Schmidhuber discussed the history of machine learning, the current state of AI, and his career researching recursive self-improvement, artificial general intelligence and its risks. Schmidhuber pointed out the importance of studying the history of machine learning to properly assign credit for key breakthroughs. He discussed some of the earliest machine learning algorithms. He also highlighted the foundational work of Leibniz, who discovered the chain rule that enables training of deep neural networks, and the ancient Antikythera mechanism, the first known gear-based computer. Schmidhuber discussed limits to recursive self-improvement and artificial general intelligence, including physical constraints like the speed of light and what can be computed. He noted we have no evidence the human brain can do more than traditional computing. Schmidhuber sees humankind as a potential stepping stone to more advanced, spacefaring machine life which may have little interest in humanity. However, he believes commercial incentives point AGI development towards being beneficial and that open-source innovation can help to achieve "AI for all" symbolised by his company's motto "AI∀". Schmidhuber discussed approaches he believes will lead to more general AI, including meta-learning, reinforcement learning, building predictive world models, and curiosity-driven learning. His "fast weight programming" approach from the 1990s involved one network altering another network's connections. This was actually the first Transformer variant, now called an unnormalised linear Transformer. He also described the first GANs in 1990, to implement artificial curiosity. Schmidhuber reflected on his career researching AI. He said his fondest memories were gaining insights that seemed to solve longstanding problems, though new challenges always arose: "then for a brief moment it looks like the greatest thing since sliced bread and and then you get excited ... but then suddenly you realize, oh, it's still not finished. Something important is missing.” Since 1985 he has worked on systems that can recursively improve themselves, constrained only by the limits of physics and computability. He believes continual progress, shaped by both competition and collaboration, will lead to increasingly advanced AI. On AI Risk: Schmidhuber: "To me it's indeed weird. Now there are all these letters coming out warning of the dangers of AI. And I think some of the guys who are writing these letters, they are just seeking attention because they know that AI dystopia are attracting more attention than documentaries about the benefits of AI in healthcare." Schmidhuber believes we should be more concerned with existing threats like nuclear weapons than speculative risks from advanced AI. He said: "As far as I can judge, all of this cannot be stopped but it can be channeled in a very natural way that is good for humankind...there is a tremendous bias towards good AI, meaning AI that is good for humans...I am much more worried about 60 year old technology that can wipe out civilization within two hours, without any AI.” [this is truncated, read show notes] YT: https://youtu.be/q27XMPm5wg8 Show notes: https://docs.google.com/document/d/13-vIetOvhceZq5XZnELRbaazpQbxLbf5Yi7M25CixEE/edit?usp=sharing Note: Interview was recorded 15th June 2023. https://twitter.com/SchmidhuberAI Panel: Dr. Tim Scarfe @ecsquendor / Dr. Keith Duggar @DoctorDuggar Pod version: TBA TOC: [00:00:00] Intro / Numerai [00:00:51] Show Kick Off [00:02:24] Credit Assignment in ML [00:12:51] XRisk [00:20:45] First Transformer variant of 1991 [00:47:20] Which Current Approaches are Good [00:52:42] Autonomy / Curiosity [00:58:42] GANs of 1990 [01:11:29] OpenAI, Moats, Legislation

Joscha Bach is a cognitive scientist, AI researcher, and philosopher. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - Eight Sleep: https://www.eightsleep.com/lex to get special savings - MasterClass: https://masterclass.com/lex to get 15% off - AG1: https://drinkag1.com/lex to get 1 month supply of fish oil Transcript: https://lexfridman.com/joscha-bach-3-transcript EPISODE LINKS: Joscha's Twitter: https://twitter.com/Plinz Joscha's Website: http://bach.ai Joscha's Substack: https://substack.com/@joscha 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (06:26) - Stages of life (18:48) - Identity (25:24) - Enlightenment (31:55) - Adaptive Resonance Theory (38:42) - Panpsychism (48:42) - How to think (56:36) - Plants communication (1:14:31) - Fame (1:40:09) - Happiness (1:47:26) - Artificial consciousness (1:59:35) - Suffering (2:04:19) - Eliezer Yudkowsky (2:11:55) - e/acc (Effective Accelerationism) (2:17:33) - Mind uploading (2:28:22) - Vision Pro (2:32:36) - Open source AI (2:45:29) - Twitter (2:52:44) - Advice for young people (2:55:40) - Meaning of life

Benjamin Netanyahu is the Prime Minister of Israel. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - BetterHelp: https://betterhelp.com/lex to get 10% off - NetSuite: http://netsuite.com/lex to get free product tour - Shopify: https://shopify.com/lex to get $1 per month trial Transcript: https://lexfridman.com/benjamin-netanyahu-transcript EPISODE LINKS: Netanyahu's Twitter: https://twitter.com/netanyahu Netanyahu's Instagram: https://www.instagram.com/b.netanyahu Netanyahu's Website: https://www.netanyahu.org.il Bibi: My Story (book): https://amzn.to/3XJd6UR A Durable Peace (book): https://amzn.to/3pIofbX Fighting Terrorism (book): https://amzn.to/3XNp6on 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (08:22) - Hate (14:02) - Judicial reform and protests (22:38) - AI (32:40) - Competition (39:21) - Power and corruption (46:32) - Peace (1:01:05) - War in Ukraine (1:05:01) - Abraham Accords (1:09:02) - History (1:13:48) - Survival

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!

George Hotz is a programmer, hacker, and the founder of comma-ai and tiny corp. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - Babbel: https://babbel.com/lexpod and use code Lexpod to get 55% off - NetSuite: http://netsuite.com/lex to get free product tour - InsideTracker: https://insidetracker.com/lex to get 20% off - AG1: https://drinkag1.com/lex to get 1 year of Vitamin D and 5 free travel packs Transcript: https://lexfridman.com/george-hotz-3-transcript EPISODE LINKS: George's Twitter: https://twitter.com/realgeorgehotz George's Twitch: https://twitch.tv/georgehotz George's Instagram: https://instagram.com/georgehotz Tiny Corp's Twitter: https://twitter.com/__tinygrad__ Tiny Corp's Website: https://tinygrad.org/ Comma-ai's Twitter: https://twitter.com/comma_ai Comma-ai's Website: https://comma.ai/ Comma-ai's YouTube (unofficial): https://youtube.com/georgehotzarchive Mentioned: Learning a Driving Simulator (paper): https://bit.ly/42T6lAN 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (08:04) - Time is an illusion (17:44) - Memes (20:20) - Eliezer Yudkowsky (32:45) - Virtual reality (39:04) - AI friends (46:29) - tiny corp (59:50) - NVIDIA vs AMD (1:02:47) - tinybox (1:14:56) - Self-driving (1:29:35) - Programming (1:37:31) - AI safety (2:02:29) - Working at Twitter (2:40:12) - Prompt engineering (2:46:08) - Video games (3:02:23) - Andrej Karpathy (3:12:28) - Meaning of life

Artificial Intelligence Podcast Key Takeaways Check Out the Lex Fridman Podcast Episode PageRead the full notes @ podcastnotes.orgMark Zuckerberg is CEO of Meta. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - Shopify: https://shopify.com/lex to get $1 per month trial - BetterHelp: https://betterhelp.com/lex to get 10% off EPISODE LINKS: Mark's Facebook: https://facebook.com/zuck Mark's Instagram: https://instagram.com/zuck Meta AI: https://ai.facebook.com/ Meta Quest: https://www.meta.com/quest/ 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (05:38) - Jiu-jitsu competition (23:01) - AI and open source movement (35:32) - Next AI model release (47:48) - Future of AI at Meta (1:08:25) - Bots (1:23:53) - Censorship (1:38:34) - Meta's new social network (1:45:20) - Elon Musk (1:49:25) - Layoffs and firing (1:56:55) - Hiring (2:02:48) - Meta Quest 3 (2:09:45) - Apple Vision Pro (2:16:00) - AI existential risk (2:22:23) - Power (2:25:55) - AGI timeline (2:33:17) - Murph challenge (2:38:33) - Embodied AGI (2:41:39) - Faith

Artificial Intelligence Podcast Key Takeaways Check Out the Lex Fridman Podcast Episode PageRead the full notes @ podcastnotes.orgMark Zuckerberg is CEO of Meta. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - Shopify: https://shopify.com/lex to get $1 per month trial - BetterHelp: https://betterhelp.com/lex to get 10% off EPISODE LINKS: Mark's Facebook: https://facebook.com/zuck Mark's Instagram: https://instagram.com/zuck Meta AI: https://ai.facebook.com/ Meta Quest: https://www.meta.com/quest/ 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (05:38) - Jiu-jitsu competition (23:01) - AI and open source movement (35:32) - Next AI model release (47:48) - Future of AI at Meta (1:08:25) - Bots (1:23:53) - Censorship (1:38:34) - Meta's new social network (1:45:20) - Elon Musk (1:49:25) - Layoffs and firing (1:56:55) - Hiring (2:02:48) - Meta Quest 3 (2:09:45) - Apple Vision Pro (2:16:00) - AI existential risk (2:22:23) - Power (2:25:55) - AGI timeline (2:33:17) - Murph challenge (2:38:33) - Embodied AGI (2:41:39) - Faith

Mark Zuckerberg is CEO of Meta. Please support this podcast by checking out our sponsors: - Numerai: https://numer.ai/lex - Shopify: https://shopify.com/lex to get $1 per month trial - BetterHelp: https://betterhelp.com/lex to get 10% off EPISODE LINKS: Mark's Facebook: https://facebook.com/zuck Mark's Instagram: https://instagram.com/zuck Meta AI: https://ai.facebook.com/ Meta Quest: https://www.meta.com/quest/ 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (05:38) - Jiu-jitsu competition (23:01) - AI and open source movement (35:32) - Next AI model release (47:48) - Future of AI at Meta (1:08:25) - Bots (1:23:53) - Censorship (1:38:34) - Meta's new social network (1:45:20) - Elon Musk (1:49:25) - Layoffs and firing (1:56:55) - Hiring (2:02:48) - Meta Quest 3 (2:09:45) - Apple Vision Pro (2:16:00) - AI existential risk (2:22:23) - Power (2:25:55) - AGI timeline (2:33:17) - Murph challenge (2:38:33) - Embodied AGI (2:41:39) - Faith

Please check out Numerai - our sponsor using our link @ http://numer.ai/mlst Numerai is a groundbreaking platform which is taking the data science world by storm. Tim has been using Numerai to build state-of-the-art models which predict the stock market, all while being a part of an inspiring community of data scientists from around the globe. They host the Numerai Data Science Tournament, where data scientists like us use their financial dataset to predict future stock market performance. Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalk YT version: https://youtu.be/axJtywd9Tbo In this fascinating interview, Dr. Tim Scarfe speaks with renowned philosopher Daniel Dennett about the potential dangers of AI and the concept of "Counterfeit People." Dennett raises concerns about AI being used to create artificial colleagues, and argues that preventing counterfeit AI individuals is crucial for societal trust and security. They delve into Dennett's "Two Black Boxes" thought experiment, the Chinese Room Argument by John Searle, and discuss the implications of AI in terms of reversibility, reontologisation, and realism. Dr. Scarfe and Dennett also examine adversarial LLMs, mental trajectories, and the emergence of consciousness and semanticity in AI systems. Throughout the conversation, they touch upon various philosophical perspectives, including Gilbert Ryle's Ghost in the Machine, Chomsky's work, and the importance of competition in academia. Dennett concludes by highlighting the need for legal and technological barriers to protect against the dangers of counterfeit AI creations. Join Dr. Tim Scarfe and Daniel Dennett in this thought-provoking discussion about the future of AI and the potential challenges we face in preserving our civilization. Don't miss this insightful conversation! TOC: 00:00:00 Intro 00:09:56 Main show kick off 00:12:04 Counterfeit People 00:16:03 Reversibility 00:20:55 Reontologisation 00:24:43 Realism 00:27:48 Adversarial LLMs are out to get us 00:32:34 Exploring mental trajectories and Chomsky 00:38:53 Gilbert Ryle and Ghost in machine and competition in academia 00:44:32 2 Black boxes thought experiment / intentional stance 01:00:11 Chinese room 01:04:49 Singularitarianism 01:07:22 Emergence of consciousness and semanticity References: Tree of Thoughts: Deliberate Problem Solving with Large Language Models https://arxiv.org/abs/2305.10601 The Problem With Counterfeit People (Daniel Dennett) https://www.theatlantic.com/technology/archive/2023/05/problem-counterfeit-people/674075/ The knowledge argument https://en.wikipedia.org/wiki/Knowledge_argument The Intentional Stance https://www.researchgate.net/publication/271180035_The_Intentional_Stance Two Black Boxes: a Fable (Daniel Dennett) https://www.researchgate.net/publication/28762339_Two_Black_Boxes_a_Fable The Chinese Room Argument (John Searle) https://plato.stanford.edu/entries/chinese-room/ https://web-archive.southampton.ac.uk/cogprints.org/7150/1/10.1.1.83.5248.pdf From Bacteria to Bach and Back: The Evolution of Minds (Daniel Dennett) https://www.amazon.co.uk/Bacteria-Bach-Back-Evolution-Minds/dp/014197804X Consciousness Explained (Daniel Dennett) https://www.amazon.co.uk/Consciousness-Explained-Penguin-Science-Dennett/dp/0140128670/ The Mind's I: Fantasies and Reflections on Self and Soul (Hofstadter, Douglas R; Dennett, Daniel C.) https://www.abebooks.co.uk/servlet/BookDetailsPL?bi=31494476184 #DanielDennett #ArtificialIntelligence #CounterfeitPeople

Chris Lattner is a legendary software and hardware engineer, leading projects at Apple, Tesla, Google, SiFive, and Modular AI, including the development of Swift, LLVM, Clang, MLIR, CIRCT, TPUs, and Mojo. Please support this podcast by checking out our sponsors: - iHerb: https://lexfridman.com/iherb and use code LEX to get 22% off your order - Numerai: https://numer.ai/lex - InsideTracker: https://insidetracker.com/lex to get 20% off EPISODE LINKS: Chris's Twitter: https://twitter.com/clattner_llvm Chris's Website: http://nondot.org/sabre/ Mojo programming language: https://www.modular.com/mojo Modular AI: https://modular.com/ 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (06:38) - Mojo programming language (16:55) - Code indentation (25:22) - The power of autotuning (35:12) - Typed programming languages (51:56) - Immutability (1:04:14) - Distributed deployment (1:38:41) - Mojo vs CPython (1:54:30) - Guido van Rossum (2:01:31) - Mojo vs PyTorch vs TensorFlow (2:04:55) - Swift programming language (2:10:27) - Julia programming language (2:15:32) - Switching programming languages (2:24:58) - Mojo playground (2:29:48) - Jeremy Howard (2:40:34) - Function overloading (2:48:59) - Error vs Exception (2:56:39) - Mojo roadmap (3:09:41) - Building a company (3:21:27) - ChatGPT (3:27:50) - Danger of AI (3:31:44) - Future of programming (3:35:01) - Advice for young people

Please check out Numerai - our sponsor @ https://numerai.com/mlst Numerai is a groundbreaking platform which is taking the data science world by storm. Tim has been using Numerai to build state-of-the-art models which predict the stock market, all while being a part of an inspiring community of data scientists from around the globe. They host the Numerai Data Science Tournament, where data scientists like us use their financial dataset to predict future stock market performance. Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Twitter: https://twitter.com/MLStreetTalk Welcome to an exciting episode featuring an outstanding guest, Robert Miles! Renowned for his extraordinary contributions to understanding AI and its potential impacts on our lives, Robert is an artificial intelligence advocate, researcher, and YouTube sensation. He combines engaging discussions with entertaining content, captivating millions of viewers from around the world. With a strong computer science background, Robert has been actively involved in AI safety projects, focusing on raising awareness about potential risks and benefits of advanced AI systems. His YouTube channel is celebrated for making AI safety discussions accessible to a diverse audience through breaking down complex topics into easy-to-understand nuggets of knowledge, and you might also recognise him from his appearances on Computerphile. In this episode, join us as we dive deep into Robert's journey in the world of AI, exploring his insights on AI alignment, superintelligence, and the role of AI shaping our society and future. We'll discuss topics such as the limits of AI capabilities and physics, AI progress and timelines, human-machine hybrid intelligence, AI in conflict and cooperation with humans, and the convergence of AI communities. Robert Miles: @RobertMilesAI https://twitter.com/robertskmiles https://aisafety.info/ YT version: https://www.youtube.com/watch?v=kMLKbhY0ji0 Panel: Dr. Tim Scarfe Dr. Keith Duggar Joint CTOs - https://xrai.glass/ Refs: Are Emergent Abilities of Large Language Models a Mirage? (Rylan Schaeffer) https://arxiv.org/abs/2304.15004 TOC: Intro [00:00:00] Numerai Sponsor Messsage [00:02:17] AI Alignment [00:04:27] Limits of AI Capabilities and Physics [00:18:00] AI Progress and Timelines [00:23:52] AI Arms Race and Innovation [00:31:11] Human-Machine Hybrid Intelligence [00:38:30] Understanding and Defining Intelligence [00:42:48] AI in Conflict and Cooperation with Humans [00:50:13] Interpretability and Mind Reading in AI [01:03:46] Mechanistic Interpretability and Deconfusion Research [01:05:53] Understanding the core concepts of AI [01:07:40] Moon landing analogy and AI alignment [01:09:42] Cognitive horizon and limits of human intelligence [01:11:42] Funding and focus on AI alignment [01:16:18] Regulating AI technology and potential risks [01:19:17] Aligning AI with human values and its dynamic nature [01:27:04] Cooperation and Allyship [01:29:33] Orthogonality Thesis and Goal Preservation [01:33:15] Anthropomorphic Language and Intelligent Agents [01:35:31] Maintaining Variety and Open-ended Existence [01:36:27] Emergent Abilities of Large Language Models [01:39:22] Convergence vs Emergence [01:44:04] Criticism of X-risk and Alignment Communities [01:49:40] Fusion of AI communities and addressing biases [01:52:51] AI systems integration into society and understanding them [01:53:29] Changing opinions on AI topics and learning from past videos [01:54:23] Utility functions and von Neumann-Morgenstern theorems [01:54:47] AI Safety FAQ project [01:58:06] Building a conversation agent using AI safety dataset [02:00:36]

Anna Frebel is an astronomer and astrophysicist at MIT. Please support this podcast by checking out our sponsors: - Hexclad Cookware: https://hexclad.com/lex and use code LEX to get 10% off - Numerai: https://numer.ai/lex - House of Macadamias: https://houseofmacadamias.com/lex and use code LEX to get 20% off your first order EPISODE LINKS: Anna's Twitter: https://twitter.com/annafrebel Anna's Instagram: https://instagram.com/annafrebel Anna's Book - Searching for the Oldest Stars: https://amzn.to/3pi2Ci6 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 sponsors above, it's the best way to support this podcast - Support on Patreon: https://www.patreon.com/lexfridman - Twitter: https://twitter.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Medium: https://medium.com/@lexfridman OUTLINE: Here's the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time. (00:00) - Introduction (05:26) - First elements (12:35) - Milky Way (16:11) - Alien worlds (19:16) - Protogalaxies (24:29) - Black holes (29:27) - Stellar archeology (38:42) - Oldest stars (46:32) - Metal-poor stars (1:02:05) - Neutron capture (1:07:01) - Neutron stars (1:12:30) - Dwarf galaxies (1:17:10) - Star observation (1:45:27) - James Webb Space Telescope (1:51:17) - Future of space observation (1:54:26) - Age of the universe (2:07:34) - Most beautiful idea in astronomy (2:11:23) - Advice for young people (2:20:17) - Meaning of life

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​

話した内容Blog⁠⁠⁠⁠ スポンサー Elithさん ----- 株式会社ElithはAI自社マルチプロダクト開発およびAI受託開発の事業を行なう会社です。 Elithでは一緒に働いてくれる仲間を募集しています。 会社を紹介します。 ◯特色その１　ゼロ→イチのフェーズの会社です →技術、エンジニアを大切にする社風 →締め付けがなく働きやすく →フラットでオープンな人間関係や →プロダクトを届ける楽しさ があります ◯特色その２　高いKaggler率でAI開発に強い人と働ける！ →データサイエンティストと機械学習エンジニア11名のうち9名がKagglerです。 →KaggleMasterが1名、Expertが6名在籍しており爆速でAIを開発しています。 →最近は生成系AIを利用したアバター生成サービスをリリースしました。 興味を持たれた方は公式サイトまでお問い合わせください。 特にフロントエンドまたはフルスタックのWebエンジニアを熱烈募集中です。 公式サイトは「http://elith.co.jp」です。 「株式会社Elith（イー　エル　アイ　ティー　エイチ」で検索してください。お待ちしております。 紹介は以上です。 ----- 今回は、スポンサー紹介、Numerai Community Tokyo Meetup、Stability AI がDiscordサーバー開設、今週の分析コンペ、雑談・来週話したいこと(論文pdfを読むときに使うツール、論文読みの日課について)について話しました。 #regonn_curry_fm  へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

Lex chats with Arno Castillo, founder and CEO of CrunchDAO. CrunchDAO is a research team of data scientists and quants that leverage the power of collective intelligence and Web3 to produce and sell next-generation predictive financial insights. In the discussion, Lex and Arnaud touch on decentralized asset management, data science, building portfolios, and web3 organizations. Arnaud shares his background in finance, including his experience working at Lehman Brothers and Deutsche Bank, as well as his work in consulting and entrepreneurship. Arnaud explaines how CrunchDAO has developed a framework called the design framework to address the challenges of using machine learning in financial markets. The framework is designed to share their research and data sets with others in the industry, allowing for collaboration and feedback. MENTIONED IN THE CONVERSATION CrunchDAO's website: https://bit.ly/3z60sDUArnaud's Linkedin profile: https://bit.ly/40cWrJS Topics: Decentralized Autonomous Organizations, DAO, artificial intelligence, machine learning, Blockchain, Web3 Companies: CrunchDAO, Numerai, Lehman Brothers, Deutsche Bank ABOUT THE FINTECH BLUEPRINT 

This show is sponsored by Numerai, please visit them here with our sponsor link (we would really appreciate it) http://numer.ai/mlst Prof. Karl Friston recently proposed a vision of artificial intelligence that goes beyond machines and algorithms, and embraces humans and nature as part of a cyber-physical ecosystem of intelligence. This vision is based on the principle of active inference, which states that intelligent systems can learn from their observations and act on their environment to reduce uncertainty and achieve their goals. This leads to a formal account of collective intelligence that rests on shared narratives and goals. To realize this vision, Friston suggests developing a shared hyper-spatial modelling language and transaction protocol, as well as novel methods for measuring and optimizing collective intelligence. This could harness the power of artificial intelligence for the common good, without compromising human dignity or autonomy. It also challenges us to rethink our relationship with technology, nature, and each other, and invites us to join a global community of sense-makers who are curious about the world and eager to improve it. YT version: https://www.youtube.com/watch?v=V_VXOdf1NMw Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 TOC: Intro [00:00:00] Numerai (Sponsor segment) [00:07:10] Designing Ecosystems of Intelligence from First Principles (Friston et al) [00:09:48] Information / Infosphere and human agency [00:18:30] Intelligence [00:31:38] Reductionism [00:39:36] Universalism [00:44:46] Emergence [00:54:23] Markov blankets [01:02:11] Whole part relationships / structure learning [01:22:33] Enactivism [01:29:23] Knowledge and Language [01:43:53] ChatGPT [01:50:56] Ethics (is-ought) [02:07:55] Can people be evil? [02:35:06] Ethics in Al, subjectiveness [02:39:05] Final thoughts [02:57:00] References: Designing Ecosystems of Intelligence from First Principles (Friston et al) https://arxiv.org/abs/2212.01354 GLOM - How to represent part-whole hierarchies in a neural network (Hinton) https://arxiv.org/pdf/2102.12627.pdf Seven Brief Lessons on Physics (Carlo Rovelli) https://www.amazon.co.uk/Seven-Brief-Lessons-Physics-Rovelli/dp/0141981725 How Emotions Are Made: The Secret Life of the Brain (Lisa Feldman Barrett) https://www.amazon.co.uk/How-Emotions-Are-Made-Secret/dp/B01N3D4OON Am I Self-Conscious? (Or Does Self-Organization Entail Self-Consciousness?) (Karl Friston) https://www.frontiersin.org/articles/10.3389/fpsyg.2018.00579/full Integrated information theory (Giulio Tononi) https://en.wikipedia.org/wiki/Integrated_information_theory

Access Numerai here: http://numer.ai/mlst Michael Oliver is the Chief Scientist at Numerai, a hedge fund that crowdsources machine learning models from data scientists. He has a PhD in Computational Neuroscience from UC Berkeley and was a postdoctoral researcher at the Allen Institute for Brain Science before joining Numerai in 2020. He is also the host of Numerai Quant Club, a YouTube series where he discusses Numerai's research, data and challenges. YT version: https://youtu.be/61s8lLU7sFg TOC: [00:00:00] Introduction to Michael and Numerai [00:02:03] Understanding / new Bing [00:22:47] Quant vs Neuroscience [00:36:43] Role of language in cognition and planning, and subjective... [00:45:47] Boundaries in finance modelling [00:48:00] Numerai [00:57:37] Aggregation systems [01:00:52] Getting started on Numeral [01:03:21] What models are people using [01:04:23] Numerai Problem Setup [01:05:49] Regimes in financial data and quant talk [01:11:18] Esoteric approaches used on Numeral? [01:13:59] Curse of dimensionality [01:16:32] Metrics [01:19:10] Outro References: Growing Neural Cellular Automata (Alexander Mordvintsev) https://distill.pub/2020/growing-ca/ A Thousand Brains: A New Theory of Intelligence (Jeff Hawkins) https://www.amazon.fr/Thousand-Brains-New-Theory-Intelligence/dp/1541675819 Perceptual Neuroscience: The Cerebral Cortex (Vernon B. Mountcastle) https://www.amazon.ca/Perceptual-Neuroscience-Cerebral-Vernon-Mountcastle/dp/0674661885 Numerai Quant Club with Michael Oliver https://www.youtube.com/watch?v=eLIxarbDXuQ&list=PLz3D6SeXhT3tTu8rhZmjwDZpkKi-UPO1F Numerai YT channel https://www.youtube.com/@Numerai/featured Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5

Today, I am talking about the Top 5 AI Cryptocurrencies Platform SingularityNET-https://singularitynet.io/ The Graph- https://thegraph.com/en/ Fetch.ai-https://fetch.ai/ Ocean Protocol-https://oceanprotocol.com/ NumerAI- https://numer.ai/

話した内容Blog 今回は、AIの進化と日本の戦略、SolafuneはMicrosoftと連携し衛星データ向けGenerative AIの開発を開始、今週の分析コンペ、雑談・来週話したいこと(Numerai meetup) について話しました。 #regonn_curry_fm へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

On this episode of the Dip Dudes we talk about WSB founder Jaime Rogozinski's law suit against reddit, the departure of Youtube's CEO, and Charlie Munger worst stock pick of all time. Most importantly, we dive into Numerai, a crowed sourced hedge fund based on data science tournaments.

話した内容Blog 今回は、Numerai Daily Tornaments、2022年11月の目標結果、今週の分析コンペ、雑談・来週話したいこと(Solana AMM の Orca 日本コミュニティマネージャー、Twitter買収、書籍 YOUR TIME) について話しました。 #regonn_curry_fm へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

話した内容Blog 今回は、numerai signalsがTCだけになる？、勉強会をやってきました、今週の分析コンペ、雑談・来週話したいこと(MBA新モデル、サンリオキャラクタ大賞、Kaggler関西)について話しました。 #regonn_curry_fm へのお便りはこちら https://forms.gle/BZsrPSa4znoQNfww8

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.

Francis Pedraza CEO and Cofounder of Invisible How was 2021 NYC like 1929 NYC? Is your business prepared for this recession? How did you prepare for the recession? How does profitability change your business? How do you buy back shares from investors? Ownership pizza pie: how do you convince an investor to buy back shares? How does the Golden age apply to partying on the internet? What is the Xeno paradox? You buy back equity with debt, and fInance with profits. This gets around the “bootstrappinig dilemma”.How does thinking in terms of buying back change the game on what you want to get out of your company? It gets investors aligned. What do you think about debt versus equity? Equity is expensive. How did you make it a deal for your investors? Why do people think about equity wrong? How did you set up the Finance 101 course? How does Heidegger think about the unsaid or the implied? How can I turn this into an online course (12:00)? What do you think about cryptocurrency? How can we uncover abuse, both subtle and not? What is a cashless loan? What is a strike price? What is art in business? What is the downside of loans? What does it mean to have a full recourse loan? How much do people believe in you?  How can you make sure that a particular value is aligned? Where do most of your ideas come from? What do you mean by “paternalistic”? What are some maternalistic tricks? How do maternal downsides show up in companies? How does one become financially sophisticated? How do the VC's abuse management teams? How do you verify if your agents come in full alignment? Selective informance versus neutral informance. What is Invisible's social media policy? Do you have any agents in Russia? How have you adapted to remote work? What are the edge cases for non-violence? What is ESG? Do weapons manufacturers get ESG money? The road to serfdom Hayek (30:00) Bastiat Grannys lost their money on the stock market, like what is happening to crypto right now. The rule of accredited investors started with FDR. Insider trading created collusion for investing in private companies. 50 million to 100 billion; Theil made a shitload. What are the unseen problems? What are your thoughts on Urbit? What are the metaphysics behind socialism? Why does utopia always require intervention? Whack-a-mole socialism Will technology ever be a full magic wand? It is similar to the question of eternal life. What is the Persian holy epic book? Bhagavad Gita Mahabharata Reminds me of King Ashoka.. Who are the Shatriya? Brahmans are the priests. How can we be warriors for the truth? Am I changing or just progressing? How do I mix this perfection and becoming? What are your thoughts on purgatory? Why does being want to be?Why are there these realms of time? How did you learn how to manage your calendar? Do you like management? God got bored being one thing so he made many things. How do you determine the integrity level of another individual? Who are the Pre-Socratics? Who is Parmenides?There are no clear-cut lines between things. What is that an artifact of? What is New York-ness?Are you using virtual machines?What is the Numerai? Visionary Ventures 2024 profits Why does the world need another venture firm? Turing test is the paradigm for Silicon Valley. A test for humans to see how well they adapt to technology. Slurping slushees on a spaceship with Wall-E. How did such a platonic ideal get done by matrix? Da Vinci TestWhen will the average person be able to defeat Da Vinci in a creativity contest? How do you measure productivity? The rise and fall of American growth. Some people are productive and some are not. The Wizard and the Wand The relationship between the wizard and the wand instead of the wand destroying us all. Are you going to become a digital warlord? How do you reduce the distance between thought and action? How does someone stuck in UBI mindset understand the potential they have? ConversionWhere does the will come from? What is the face you had before you were born? What are the two risks I'm facing right now?How do you remove the possibility of defeat? How do you grow a company? No employees allowed. What does it mean to be an employee? What does it mean to be consultative? What did Marxists teach us about how to create value for both the labor and the ownership class? How do you manage the potential when it comes to finance?

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

“When you're investing and you have a position that you think you have conviction in, where you think it's very high odds that you're right, take a big swing at it.” – Joey Krug Joey Krug (@joeykrug) is Co-CIO at Pantera Capital, a crypto-focused asset management firm. He is Cofounder of Augur, a global betting platform, and Cofounder of Eco, a personal finance app utilizing USDC. Joey is also an advisor at 0x and Numerai. Show notes with links, quotes, and a transcript of the episode: https://www.danielscrivner.com/notes/building-6B-hedge-fund-crypto-pantera-capital-joey-krug-ig-show-notes Chapters Joey's daily work at Pantera, Augur, and Eco Joey's start in mining Bitcoin Joining Pantera and investing Lessons learned as an investor in volatile markets Pantera's active trading and early stage venture bets Perspectives on risk On scaling Ethereum DeFi and the future of prediction markets A peek into Eco Branding in crypto Technical analysis in trading Sign up here for Outlier Debrief, our weekly newsletter that highlights the latest episode, expands on important business and investing concepts, and contains the best of what we read each week. Follow Outlier Academy on Twitter: https://twitter.com/outlieracademy. If you loved this episode, please share a quick review on Apple Podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

話した内容Blog このポッドキャストでは、Kaggleを中心としたデータサイエンス・機械学習に関連する情報、仮想通貨、xR、新しい働き方等について配信していきます。 今回は、NumeraiがNFTを配布、Kaggleって何が楽しい?、今週の分析コンペ、雑談・来週話したいこと について話しました。

“I actually keep a list of big mistakes I've made, so I don't forget them.” – Joey Krug Joey Krug (@joeykrug) is Co-CIO at Pantera Capital, a crypto-focused asset management firm. He is Cofounder of Augur, a global betting platform, and Cofounder of Eco, a personal finance app utilizing USDC. Joey is also an advisor at 0x and Numerai. Show notes with links, quotes, and a transcript of the episode: https://www.danielscrivner.com/notes/pantera-capital-joey-krug-20mp-show-notes Chapters CRISPR, Layer Two, and design in crypto Synthesizing information and learning soft skills Superhuman and Apple Notes On failure, success, and gratitude Sign up here for Outlier Debrief, our weekly newsletter that highlights the latest episode, expands on important business and investing concepts, and contains the best of what we read each week. Follow Outlier Academy on Twitter: https://twitter.com/outlieracademy. If you loved this episode, please share a quick review on Apple Podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

“When you're investing and you have a position that you think you have conviction in, where you think it's very high odds that you're right, take a big swing at it.” – Joey Krug Joey Krug (@joeykrug) is Co-CIO at Pantera Capital, a crypto-focused asset management firm. He is Cofounder of Augur, a global betting platform, and Cofounder of Eco, a personal finance app utilizing USDC. Joey is also an advisor at 0x and Numerai. Show notes with links, quotes, and a transcript of the episode: https://www.danielscrivner.com/notes/building-6B-hedge-fund-crypto-pantera-capital-joey-krug-ig-show-notes  Chapters Joey's daily work at Pantera, Augur, and Eco Joey's start in mining Bitcoin Joining Pantera and investing Lessons learned as an investor in volatile markets Pantera's active trading and early stage venture bets Perspectives on risk On scaling Ethereum DeFi and the future of prediction markets A peek into Eco Branding in crypto Technical analysis in trading Sign up here for Outlier Debrief, our weekly newsletter that highlights the latest episode, expands on important business and investing concepts, and contains the best of what we read each week. Follow Outlier Academy on Twitter: https://twitter.com/outlieracademy. If you loved this episode, please share a quick review on Apple Podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

話した内容Blog このポッドキャストでは、Kaggleを中心としたデータサイエンスに関連する情報を配信していきます。 今回は、Numerai Meetup 2021 Japan、ファイナンス機械学習、今週の分析コンペ、雑談・来週話したいこと について話しました。

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

話した内容Blog このポッドキャストでは、Kaggleを中心としたデータサイエンスに関連する情報を配信していきます。 今回は、Numeraiトーナメントはじめました、Numerai Meetup JAPAN、Kaggler のための BigQuery 活用手法、今週の分析コンペ、雑談・来週話したいこと について話しました。

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

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

Numerai allows anyone in the world with an internet connection to be rewarded for supplying accurate insights to their trading model. Built on Ethereum and made possible by the NMR token- rip bong- welcome to the future. And for the first time Numerai has released their fund performance, and the system is working. Watch on YouTube, follow on Twitter & Instagram.

Joey is Co-Chief Investment Officer at Pantera Capital. Prior to Pantera, he co-founded Augur, a decentralized prediction market platform and solution to the oracle problem. Joey also co-founded Eco, an app which offers a simple balance to let users spend, send, save and make money at the same time. He co-founded a crypto-focused AngelList syndicate which became one of the top fifteen by backing and was an early investor in projects like 0x and Numerai. In 2013, Joey built a point of sale system enabling Bitcoin payments with sound and Bluetooth. He is both a Thiel Fellow and an Edmund Hillary Fellow. Follow Joey on Twitter @joeykrug. [0:59] - How Joey's interest in computers led him to crypto and venture capital [7:25] - The best decisions Joey has made in his early career [12:42] - Joey's first experiences as an investor and entrepreneur [16:47] - How Joey's days of betting on horses made him a better investor [21:20] - Joey's experience with the Thiel Fellowship [26:55] - The origin story behind Augur [30:06] - An overview of prediction markets [35:39] - Joey's perspective on Bitcoin maximalism as an early crypto adopter [39:41] - Predicting the dominant blockchain protocol in a multi-chain future [46:13] - Eco's attempt to rethink modern banking and credit card companies [49:15] - Joey's experience working with Dan Morehead at Pantera Capital --- homeofjake.com

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

話した内容ScrapBox このポッドキャストでは、Kaggleを中心としたデータサイエンスに関連する情報を配信していきます。 今回は、J-Quantsニュース分析チャレンジのオンラインイベント、Numerai 日本人非公式Slackコミュニティ、Optuna connpassグループ、日本語話し言葉BERT、遺伝的アルゴリズムで作られた画像のNFT、今週のKaggleについて話しています。

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

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.

Originally published April 3, 2017A hedge fund is a collection of investors that make bets on the future. The “hedge” refers to the fact that the investors often try to diversify their strategies so that the direction of their bets are less correlated, and they can be successful in a variety of future scenarios. Engineering-focused hedge funds have used what might be called “machine learning” for a long time to predict what will happen in the future.Numerai is a hedge fund that crowdsources its investment strategies by allowing anyone to train models against Numerai's data. A model that succeeds in a simulated environment will be adopted by Numerai and used within its real money portfolio. The engineers who create the models are rewarded in proportion to how well the models perform.Xander Dunn is a software engineer at Numerai and in this episode he explains what a hedge fund is, why the traditional strategies are not optimal, and how Numerai creates the right incentive structure to crowdsource market intelligence. This interview was fun and thought provoking–Numerai is one of those companies that makes me very excited about the future.

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

¿Conocéis a alguien que haya ganado cientos de miles de euros en competiciones de inteligencia artificial? Antes de esta semana yo no, pero ahora sí; y esa persona es Jordi Villar, que ha competido en dos plataformas de trading algorítmico ganando en total $350.000 tal cual describe en su artículo https://jordivillar.com/pursuing-non-conventional/ Jordi desvela que sus algoritmos encierran una sencillez casi paradójica y nos explica cómo funcionan Numerai y Quantopian.

John Dulin comes on the podcast with Wolf Tivy to discuss recent advances in weapons systems, how war is one of the most important drivers of technological progress, and the role of both the public and private sectors in fundamental research and mass marketization. John Dulin is CEO and founder of a defense industry startup. Previously, he was a machine learning research engineer at Numerai and Freenome. He can be found on Twitter @JohnDDulin.

Numerai just listed on CoinBase it is a decentralized hedge fund that incorporates data mining and competition of the best AI developers in protectionist. We will look at the managers some information on how the cryptocurrency works, and the latest price action. Fidelity investments analyst say bitcoin is poised to hit $1 million, we take a look on how they made that prediction. Please remember this is for entertainment purposes only and is not advice of any kind. --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app Support this podcast: https://anchor.fm/mountain-crypto/support

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

仮想通貨・ブロックチェーンに特化した幻冬舎のメディア「あたらしい経済 https://www.neweconomy.jp/ 」がおくる、ラジオ番組です。毎日最新ニュース解説とコラムをお届けします。 ・リトアニアが中央銀行デジタル通貨の最終テスト段階に入り、7月発行予定 ・クラウドソーシング型ヘッジファンド「Numerai（ヌメライ）」の300万ドルのトークンセールにUnion Square Ventures、Placeholderらが参加 ・ジャーナリズムの改善を目指した分散型メディアプラットフォーム「シビル（Civil）」がプロジェクト終了へ ・テゾス（XTZ）のICOへの集団訴訟が2,500万ドルで和解の見込み ・Fireblocksが新たなデジタルアセット転送システムをローンチ ニュースの詳細や、アーカイブやその他の記事はこちらから https://www.neweconomy.jp/

Stephane joins us in another live recording from Voices of Blockchain hosted in Chicago a few weeks back to talk to us about Numerai; a project in existence for a few years working to essentially re-invent the hedge fund. We talk about the tournaments they are hosting with some of the brightest mathematicians and minds of the world, working to create data that can be used to hopefully make exceptional investment decisions. This was a fascinating conversation about governance & how how blockchains can continue to further the evolution of finance. 

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.

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

Lee Jacobs is a Managing Partner at Edelweiss VC, a mentor at 500 Startups and an incredibly accomplished investor with investments in the likes of Checkr, Numerai, Shyp, Managed by Q and Blue Bottle Coffee. Prior to that he built Angellist's syndicate investor program, founded several startups, worked for a few funds and also did... The post Angellist's First Syndicate Deal and Why Generalist VCs Typically Win with Lee Jacobs of Edelweiss appeared first on The Syndicate.

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

This is an episode on the super cool Machine-Learning-powered hedge fund, Numerai. Summary Numerai is a global equity long-short hedge fund, which specializes in relatively long time-range investments, on the scale of 6-9 months. They’re interested in more finely granular moves, that are at the level of individual stocks; they aim to identify anomalously-priced stocks, and thus exploit price discrepancies. One might argue that their essential task is to restore market efficiency. Collaboration in finance is largely uncommon and impractical due to the competitive edge that is characteristic to the kind of predictive modeling that is associated with the area. Numerai addresses this via running rounds of successive Machine Learning competitions for the purpose of crowdsourcing predictions,...

Good morning listeners, Today is a very special episode. I am here live with Jared Broad, the founder of Quantconnect. Jared and his team are building a platform for anyone wanting to build quantitative trading strategies and a marketplace for anyone to license their trading strategies using alpha streams. They have done the hard part by building the infrastructure for quantitative traders and a vibrant community to share and learn from each other. We discuss the Quantconnect platform, his story and experiences, and how Quantconnect got started. Below is an excerpt of our conversation about where engineers find inspiration. “That is the beauty about having a big diverse community. If you understand philosophy and psychology, then you will be using your philosophy and psychology experiences to pull into your trading strategy. Maybe you’re a math grad and you will be using mathematical techniques and thinking about things with hard numbers. Everybody got different inspirations by their experiences. That is kind of the beauty of a community of people is that they all have different experiences and they come together to design it in the Quantconnect ecosystem.” 1:14 – Tell me how it got started. What was your background and what led you to create Quantconnect? 4:38 – Can you tell me more about your experience in Chile? 6:13 – How was the startup culture? 7:20 – What is Quantconnect and how are you guys different from the others like Quantopian and Numerai? 9:07 – Can you tell me more about the LEAN program? 12:40 – Can you tell me more about the alpha streams and are your competitors doing anything similar to that? 15:36 – What are alpha signals and can you give examples and strategies that have generated alpha? 17:26 – How do you benchmark those signals? 18:30 – Where do engineers find inspiration for their strategies? 23:47 – Can you tell me about the Jupyter notebook? 26:20 – Do you personally subscribe to a particular investment philosophy and how would you characterize it? 28:33 – Do you seek any inspiration from others investors? 29:11 – What is your objective with Quantconnect? 30:03 – What are your favorite books? You can find more information: https://www.quantconnect.com/ Enjoy and thanks for the listen!

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.