Podcast appearances and mentions of daniel jeffries

Link to original articleWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Copyright Confrontation #1, published by Zvi on January 4, 2024 on LessWrong. Lawsuits and legal issues over copyright continued to get a lot of attention this week, so I'm gathering those topics into their own post. The 'virtual #0' post is the relevant section from last week's roundup. Four Core Claims Who will win the case? Which of New York Times's complaints will be convincing? Different people have different theories of the case. Part of that is that there are four distinct allegations NYT is throwing at the wall. Arvind Narayanan: A thread on some misconceptions about the NYT lawsuit against OpenAI. Morality aside, the legal issues are far from clear cut. Gen AI makes an end run around copyright and IMO this can't be fully resolved by the courts alone. As I currently understand it, NYT alleges that OpenAI engaged in 4 types of unauthorized copying of its articles: The training dataset The LLMs themselves encode copies in their parameters Output of memorized articles in response to queries Output of articles using browsing plugin Key Claim: The Training Dataset Contains Copyrighted Material Which, of course, it does. The training dataset is the straightforward baseline battle royale. The main event. The real issue is the use of NYT data for training without compensation … Unfortunately, these stand on far murkier legal ground, and several lawsuits along these lines have already been dismissed. It is unclear how well current copyright law can deal with the labor appropriation inherent to the way generative AI is being built today. Note that *people* could always do the things gen AI does, and it was never a problem. We have a problem now because those things are being done (1) in an automated way (2) at a billionfold greater scale (3) by companies that have vastly more power in the market than artists, writers, publishers, etc. Bingo. That's the real issue. Can you train an LLM or other AI on other people's copyrighted data without their permission? If you do, do you owe compensation? A lot of people are confident in very different answers to this question, both in terms of the positive questions of what the law says and what society will do, and also the normative question what society should decide. Daniel Jeffries, for example, is very confident that this is not how any of this works. We all learn, he points out, for free. Why should a computer system have to pay? Do we all learn for free? We do still need access to the copyrighted works. In the case of The New York Times, they impose a paywall. If you want to learn from NYT, you have to pay. Of course you can get around this in practice in various ways, but any systematic use of them would obviously not be legal, even if much such use is effectively tolerated. The price is set on the assumption that the subscription is for one person or family unit. Why does it seem so odd to think that if an AI also wanted access, it too would need a subscription? And that the cost might not want to be the same as for a person, although saying 'OpenAI must buy one (1) ongoing NYT subscription retroactive to their founding' would be a hilarious verdict? Scale matters. Scale changes things. What is fine at small scale might not be fine at large scale. Both as a matter of practicality, and as a matter of law and its enforcement. Many of us have, at some point, written public descriptions of a game of professional football without the express written consent of the National Football League. And yet, they tell us every game: NFL: This telecast is copyrighted by the NFL for the private use of our audience. Any other use of this telecast or any pictures, descriptions, or accounts of the game without the NFL's consent is prohibited. Why do they spend valuable air time on this, despite the disdain it creates? Because they do not wan...

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Copyright Confrontation #1, published by Zvi on January 4, 2024 on LessWrong. Lawsuits and legal issues over copyright continued to get a lot of attention this week, so I'm gathering those topics into their own post. The 'virtual #0' post is the relevant section from last week's roundup. Four Core Claims Who will win the case? Which of New York Times's complaints will be convincing? Different people have different theories of the case. Part of that is that there are four distinct allegations NYT is throwing at the wall. Arvind Narayanan: A thread on some misconceptions about the NYT lawsuit against OpenAI. Morality aside, the legal issues are far from clear cut. Gen AI makes an end run around copyright and IMO this can't be fully resolved by the courts alone. As I currently understand it, NYT alleges that OpenAI engaged in 4 types of unauthorized copying of its articles: The training dataset The LLMs themselves encode copies in their parameters Output of memorized articles in response to queries Output of articles using browsing plugin Key Claim: The Training Dataset Contains Copyrighted Material Which, of course, it does. The training dataset is the straightforward baseline battle royale. The main event. The real issue is the use of NYT data for training without compensation … Unfortunately, these stand on far murkier legal ground, and several lawsuits along these lines have already been dismissed. It is unclear how well current copyright law can deal with the labor appropriation inherent to the way generative AI is being built today. Note that *people* could always do the things gen AI does, and it was never a problem. We have a problem now because those things are being done (1) in an automated way (2) at a billionfold greater scale (3) by companies that have vastly more power in the market than artists, writers, publishers, etc. Bingo. That's the real issue. Can you train an LLM or other AI on other people's copyrighted data without their permission? If you do, do you owe compensation? A lot of people are confident in very different answers to this question, both in terms of the positive questions of what the law says and what society will do, and also the normative question what society should decide. Daniel Jeffries, for example, is very confident that this is not how any of this works. We all learn, he points out, for free. Why should a computer system have to pay? Do we all learn for free? We do still need access to the copyrighted works. In the case of The New York Times, they impose a paywall. If you want to learn from NYT, you have to pay. Of course you can get around this in practice in various ways, but any systematic use of them would obviously not be legal, even if much such use is effectively tolerated. The price is set on the assumption that the subscription is for one person or family unit. Why does it seem so odd to think that if an AI also wanted access, it too would need a subscription? And that the cost might not want to be the same as for a person, although saying 'OpenAI must buy one (1) ongoing NYT subscription retroactive to their founding' would be a hilarious verdict? Scale matters. Scale changes things. What is fine at small scale might not be fine at large scale. Both as a matter of practicality, and as a matter of law and its enforcement. Many of us have, at some point, written public descriptions of a game of professional football without the express written consent of the National Football League. And yet, they tell us every game: NFL: This telecast is copyrighted by the NFL for the private use of our audience. Any other use of this telecast or any pictures, descriptions, or accounts of the game without the NFL's consent is prohibited. Why do they spend valuable air time on this, despite the disdain it creates? Because they do not wan...

Hinter den gängigen Angeboten und Plattformen im Internet steht ein Monopol weniger Konzerne. Bei KI könne sich die Gesellschaft das nicht leisten, sagt der Autor und Unternehmer Daniel Jeffries. Aus seiner Sicht muss sie daher Open Source bleiben. Marcus Richter, Vera Linß, Daniel Jeffries, Stefan Mey, Rainer Rehakwww.deutschlandfunkkultur.de, Breitband

Hinter den gängigen Angeboten und Plattformen im Internet steht ein Monopol weniger Konzerne. Bei KI könne sich die Gesellschaft das nicht leisten, sagt der Autor und Unternehmer Daniel Jeffries. Aus seiner Sicht muss sie daher Open Source bleiben. Marcus Richter, Vera Linß, Daniel Jeffries, Stefan Mey, Rainer Rehakwww.deutschlandfunkkultur.de, BreitbandDirekter Link zur Audiodatei

Ever wondered about the true potential of AI, its impact on our lives, and the fine line between innovation and regulation? In this episode, dive into a conversation with Daniel Jeffries, Managing Director of the AI Infrastructure Alliance. From debunking AI myths to navigating the delicate balance of open-source innovation and risk aversion, we explore the dynamic landscape of technology. Join us as Dan shares insights on the global narrative surrounding AI, the importance of open societies, and why embracing new tech is the key to societal prosperity. [00:00 - 11:49] - A Balanced Perspective on AIAI, like any technology, spans from good to evil in its applicationsConcerns about AI harm are viewed as attempts to hinder competitionSocietal benefits of AI: material science advancements and improved healthcare diagnostics[11:50 - 25:50] - Open Source AI Development and RegulationOpen-source AI development is crucial for innovation and progressMisuse of AI should not hinder open development but be addressed through lawsThe GDPR and EU AI Act may stifle open source and smaller firms[25:51 - 32:19] - AI Agents and SingularityAI agents are smart applications designed for real-world tasksAgents enhance efficiency for individuals and small businessesSkepticism surrounds the feasibility and timing of the singularity concept[32:20 - 40:51] - Personal Growth and Self-Improvement Change requires addressing real problems, not just relying on positive thinkingOvercoming depression involves ending toxic relationships and self-reflectionClarity in thinking is crucial to distinguishing real from imaginary issuesResource MentionedThe Turning Point for Truly Open AI is NowKey Quote:"Every technology in history can be used for good, bad, and everything in between. Everything exists on a continuum of good to evil, and it's a spectrum." - Daniel JeffriesConnect with Daniel Jeffries!Substack: https://danieljeffries.substack.com/Website: https://ai-infrastructure.org/Twitter: https://twitter.com/dan_jeffries1?lang=enThis episode is sponsored by Mack International, a specialized executive search and human capital consulting firm serving the family office/wealth management markets. Please visit their website here for more information.Download our FREE Strategizing for Inflation Guide here: https://www.excelsiorgp.com/download/Connect with me:https://www.linkedin.com/in/brian-c-adams/ (LinkedIn)LIKE, SUBSCRIBE, AND LEAVE US A REVIEW on Apple Podcasts, Spotify, Google Podcasts, or whatever platform you listen on. Hosted on Acast. See acast.com/privacy for more information.

Daniel Jeffries is one of my favorite guests. After seeing the meteoric rise of ChatGPT, he was the perfect guest to discuss the evolution of AI and its impact on our lives. Should we worry about AI, can AI steal our jobs, or is it a good thing and we should embrace this technology? Listen to Daniel Jeffries, a futurist, author, engineer, CIO at Stability AI and Managing Director at AI Infrastructure Alliance and find out what our future and the future of AI will look like. Daniel Jeffries: https://www.linkedin.com/in/danjeffries/ ►► JOIN THE FREE WOLF DEN NEWSLETTER https://thewolfden.substack.com/  ►►NORD VPN  An essential crypto product to protect your privacy and keep your crypto safe!  Sign up on my link below & enjoy the benefits of NORD VPN from just $4 a month. 

AI has finally come to the world of art, but what does that really mean for artists? Will it be the friend we've always wanted by eliminating monotonous tasks and speeding up workflows? Or will it turn out to be a foe and make digital artists obsolete? Joey sits down with Daniel Jeffries, CIO of Stability.ai, to discuss the real-world use cases of artificial intelligence and the moral, ethical, and philosophical ramifications of AI art.  In addition to our regular podcast format, we also made this episode into a video, so you can see the work and tools as they're being discussed. Check it out on the School of Motion YouTube channel.

On today's show, Daniel Jeffries is an author, engineer, blogger, podcaster, public speaker and Managing Director of the rapidly growing AI Infrastructure Alliance, digs into what could become a renaissance moment for privacy in our lives.Read the story here.This episode is sponsored by Kava.This episode was edited & produced by Adrian Blust-Kava lets you mint stablecoins, lend, borrow, earn and swap safely across the world's biggest crypto assets. Connect to the world's largest cryptocurrencies, ecosystems and financial applications on DeFi's most trusted, scalable and secure earning platform with kava.io.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On today's show, Daniel Jeffries, author, engineer, blogger, podcaster, public speaker and Managing Director of the rapidly growing AI Infrastructure Alliance, looks closely at the not so far future of money and accounting.Read the story here.This episode is sponsored by Kava, Nexo.io and Market Intel by Chainalysis.This episode was edited & produced by Adrian Blust. -Kava lets you mint stablecoins, lend, borrow, earn and swap safely across the world's biggest crypto assets. Connect to the world's largest cryptocurrencies, ecosystems and financial applications on DeFi's most trusted, scalable and secure earning platform with kava.io.-Nexo is a powerful, all-in-one crypto platform where you can securely store your assets. Invest, borrow, exchange and earn up to 12% APR on Bitcoin and 20+ other top coins. Insured for $375M and audited in real-time by Armanino, Nexo is rated excellent on Trustpilot. Get started today at nexo.io.-Market Intel by Chainalysis—the Blockchain Data Platform—arms your team with the most complete on-chain dataset to make informed crypto investments, deliver original research, and identify and confidently fund emerging players in the market. See Chainalysis Market Intel in action now.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, I speak with Daniel Jeffries. Daniel is a science-fiction author, engineer, futurist, thinker, blogger, systems architect, speaker, crypto nerd, AI evangelist, world traveler, beard-master, and overall renaissance man.Today we talk about a variety of topics including: why billionaires going to space is good; why how to make better predictions; how COVID will have long-term positive consequences for society; where we are in the long arc of AI; how the model development lifecycle supports and does not replace the software development lifecycle; where we are in terms of understanding MLOps; choosing between end-to-end and best-of-breed ML tools and platforms; what the AI Infrastructure Alliance is and how it's helping shape the future of ML Platforms; and what to think about when deploying AI/ML in your organization. It's a long and great conversation. Enjoy the ride!Timing00:00 Introduction02:15 Why billionaires going to space is a good thing04:13 Dan's thoughts on the Foundation series05:55 Predictions - good and bad - that you've made10:19 Thoughts on Kai-Fu Lee's “2041”12:40 COVID's long-term impacts on our society21:06 Where are we now in the arc of AI?27:12 This is still the early adopter phase29:42 Is AI really eating all software?31:36 The model development lifecycle vs. the software development lifecycle33:07 MLOps is still evolving as a term and as a practice36:07 MLOps is not just DevOps brought forward39:15 ML Platforms: End to end or best of breed components? (Or a blend?)40:34 The only end to end solution that exists is in the minds of marketers44:38 There is no LAMP stack for machine learning...yet47:54 What is the AI Infrastructure Alliance57:13 Blueprints and design patterns - making sense of the ML platform and tools space1:05:35 Platform rationalization and maturation is coming but it's not here yet1:07:30 How does a customer buy from members of the AIIA?1:11:45 Education is critical to long-term success1:17:15 As always, finding the right tool for the job is important1:21:45 There are two kinds of machine learning: basic and revolutionary1:24:35 Wrap-upLinksGet in touch with Dan:LinkedIn https://www.linkedin.com/in/danjeffries/Medium https://medium.com/@dan.jeffriesTwitter https://twitter.com/Dan_Jeffries1Amazon Author Page: https://www.amazon.com/Daniel-Jeffries/e/B00D1HG62U%3Fref=dbs_a_mng_rwt_scns_sharePatreon Page: https://www.patreon.com/danjeffries

The title says it all... Here are some answers if anyone is annoying you with bad arguments about Bitcoin. ** This podcast is not professional investment advice. ** Official site: theworstpod.com Follow Worst Pod on Instagram: www.instagram.com/worstpod/ Further reading: Bitcoin Explained with Emoji (Parts 1 & 2) by Tess Rinearson https://medium.com/s/story/making-money-530d2bb2b8f7 https://medium.com/s/story/making-money-trustworthy-6c552a1cfc25 The Bullish Case for Bitcoin by Vijay Boyapati https://vijayboyapati.medium.com/the-bullish-case-for-bitcoin-6ecc8bdecc1 Lightning is 3.7 million times more efficient than Visa by Luka https://lb256.medium.com/lightning-is-3-7-million-times-more-efficient-than-visa-87065d13eea9 What Will Bitcoin Look Like In 20 Years? by Daniel Jeffries https://medium.com/hackernoon/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c Satoshi Nakamoto is (Probably) Nick Szabo from LikeInAMirror Blog https://likeinamirror.wordpress.com/2013/12/01/satoshi-nakamoto-is-probably-nick-szabo/ Bit Gold by Nick Szabo https://unenumerated.blogspot.com/2005/12/bit-gold.html Further listening: Hidden Forces Podcast, Episode 191 - Ultrasound Money and the Ethereum Triple Halving | Nikhil Shamapant https://hiddenforces.io/podcasts/ultrasound-money-ethereum-triple-halving-nikhil-shamapant/

In this episode of Infinite Loops we spoke with Daniel Jeffries, futurist and author. Daniel’s newest book is Mastering Depression and Living the Life You Were Meant to Live. In this conversation we chat: The multiverse Why Dan wrote his newest book Mimetic desires and human behavior Questioning everything And MUCH more    Follow Daniel on Twitter (https://twitter.com/Dan_Jeffries1), check out his writing (https://medium.com/@dan.jeffriescheck), and find his new book here.  

Has the market cap of cryptocurrencies really exceeded that of Apple? Should you have started buying shitcoins in 2013? Does Microsoft really want to acquire Discord? Do we still trust Fitbit?  This Week on Planet Internet: HackerNoon CEO David Smooke asks: if it was yours, would you sell Discord to Microsoft? From (00:29) Editors Limarc Ambalina and Amy Tom debate the overall awfulness of Teams (00:40) David says "market crap" around (05:28) and nobody even hears it Everyone decides categorically that Natasha Nel should stop telling people people the crypto bubble's gonna burst (07:22) Check in on Limarc's dogecoin earnings (09:32) Do a team vibe check on Fitbit (11:10) Remind ourselves that if you're not paying, you're the product (12:51) DRINK EVERY TIME DAVID SAYS SHITCOIN (16:37) Read the tech news stories mentioned in this show:  Why Microsoft Wants Discord by Tom Warren for The Verge: https://www.theverge.com/2021/3/26/22352028/microsoft-discord-acquisition-analysis-report  Cryptocurrency Market Overtakes Apple — The World's Most Valuable Company — In Market Capitalization by Shivdeep Dhaliwal for Benzinga: https://www.benzinga.com/node/20613282  Think You Know Why Google Acquired Fitbit? Think Again! by Haris Shahid for Hacker Noon: https://hackernoon.com/think-you-know-why-google-acquired-fitbit-think-again-w4h332n  Mastering Shitcoins II - The Poor Man's Guide to Getting Rich by Daniel Jeffries for Hacker Noon: https://hackernoon.com/mastering-shitcoins-ii-the-poor-mans-guide-to-getting-rich-nvo33j3 

A Rafaela Romano, editora chefe do Cointelegraph Brasil, se convidou para bater um papo com os bitcoinheiros sobre um artigo que leu do Daniel Jeffries. Conversa muito interessante que rendeu uma série de 2 episódios para o canal. MINUTAGEM 00:00 Abertura 03:00 Apresentação da convidada Rafaela Romano 05:06 Concentração da mineração 06:30 Perspectivas sobre o consenso 08:32 Diferença do consenso entre a rede bitcoin e as shitcoins 10:37 O alinhamento de incentivos em altcoins para mineração (ou a falta de) - Exemplo: Ethereum 19:24 Soberania sobre seu próprio dinheiro 24:20 O objetivo do bitcoin e seu algoritmo de consenso baseado na competição 30:07 Concentração geográfica de mineradores e interferência do estado https://bitcoinheiros.com/apoie/ Loja dos Bitcoinheiros https://loja.bitcoinheiros.com/ SIGA OS BITCOINHEIROS: Site: https://www.bitcoinheiros.com Youtube: https://www.youtube.com/bitcoinheiros Twitter: https://www.twitter.com/bitcoinheiros Allan - https://www.twitter.com/allanraicher Dov - https://twitter.com/bitdov Becas - https://twitter.com/bksbk6 Ivan - https://twitter.com/bitofsilence Instagram: https://www.instagram.com/bitcoinheiros Facebook: https://www.fb.com/bitcoinheiros Podcast: https://anchor.fm/bitcoinheiros APOIE O CANAL: - Dê uma gorjeta em Bitcoin: https://bitcoinheiros.com/apoie/ - Inscreva-se no canal - Deixe seu comentário no vídeo - Dê um like no vídeo - Compartilhe o vídeo e o canal com amigos e familiares na sua rede social - Envie um email com seu comentário e sugestões: bitcoinheiros@protonmail.com COMO GUARDAR SEUS BITCOINS? Bitcoinheiros recomendam o uso de carteiras Multisig com Hardware Wallets de diferentes fabricantes. Busque por "canivete bitcoinheiro" em nosso canal para saber mais. - COLDCARD - https://store.coinkite.com/promo/bitcoinheiros (use o código bitcoinheiros para ganhar 5% de desconto) - TREZOR E BITBOX02 PARA RESIDENTES NO BRASIL E AMÉRICA DO SUL Revendedor oficial: https://www.kriptobr.com/?afiliado=1288 Acesse com nosso link acima para ajudar o canal! ;) - TREZOR PARA RESIDENTES EM OUTROS PAÍSES https://shop.trezor.io/product/trezor-model-t?offer_id=15&aff_id=3722 Com o código "bitcoinheiros" você ganha 5% de desconto na Trezor ISENÇÃO DE RESPONSABILIDADE: Este conteúdo foi preparado para fins meramente informativos. NÃO é uma recomendação financeira nem de investimento. As opiniões apresentadas são apenas opiniões. Faça sua própria pesquisa. Não nos responsabilizamos por qualquer decisão de investimento que você tomar ou ação que você executar --- Send in a voice message: https://anchor.fm/bitcoinheiros/message

Frank discusses the JFK Assassination with Daniel Jeffries and talks about Atlantic City with James Toto.  Gov. Andrew Cuomo (as impersonated by Frank Morano) also takes a few listener calls.

We trained a Transformer neural net on ambient music to see if a machine can compose with the great masters. Ambient is a soft, flowing, ethereal genre of music that I’ve loved for decades. There are all kinds of ambient, from white noise, to tracks that mimic the murmur of soft summer rain in a sprawling forest, but Dan favors ambient that weaves together environmental sounds and dreamy, wavelike melodies into a single, lush tapestry. Can machine learning ever hope to craft something so seemingly simple yet intricate? The answer is yes and it’s getting better and better with each passing year. It won’t be long before artists are co-composing with AI, using software that helps them weave their own masterpieces of sound. In this talk, we looked at how we did it. Along the way we’ll listen to some more awesome samples that worked really well and some that didn’t work as well as we hoped. You can download the model to play around with yourself. Dam also shows you an end-to-end machine learning pipeline, with downloadable containers that you can string together with ease to train a masterful music-making machine learning model on your own. Dan Jeffries is Chief Technology Evangelist at Pachyderm. He’s also an author, engineer, futurist, pro blogger and he’s given talks all over the world on AI and cryptographic platforms. He’s spent more than two decades in IT as a consultant and at open source pioneer Red Hat. With more than 50K followers on Medium, his articles have held the number one writer's spot on Medium for Artificial Intelligence, Bitcoin, Cryptocurrency and Economics more than 25 times. His breakout AI tutorial series "Learning AI If You Suck at Math" along with his explosive pieces on cryptocurrency, "Why Everyone Missed the Most Important Invention of the Last 500 Years” and "Why Everyone Missed the Most Mind-Blowing Feature of Cryptocurrency,” are shared hundreds of times daily all over social media and been read by more than 5 million people worldwide. Join our slack community: https://join.slack.com/t/mlops-community/shared_invite/zt-391hcpnl-aSwNf_X5RyYSh40MiRe9Lw Follow us on Twitter: @mlopscommunity Sign up for the next meetup: https://go.mlops.community/register Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/ Connect with David on LinkedIn: https://www.linkedin.com/in/aponteanalytics/ Connect with Cris Sterry on LinkedIn: https://www.linkedin.com/in/chrissterry/ Connect with Dan on LinkedIn: https://www.linkedin.com/in/danjeffries/

Today my guest is Daniel Jeffries.Dan was one of the first grown ups I discovered when I first entered the moon-crazed juvenile world of cryptocurrency. Dan is a popular writer, having published science fiction novels and numerous viral Medium articles including Way of the Spiritual Warrior, Surviving Crypto Winter, and Rick and Morty and the Meaning of Life.I wasn’t interested in talking to Dan about Bitcoin (though I’ve listened to him talk eloquently about crypto on many podcasts). I wanted to hear Dan’s story. What’s his approach to spirituality? What has he learned on his path to becoming a “B-list Crypto Celebrity” (his words) and a digital nomad who travels all over the world writing and giving impromptu speeches at giant conferences about the rise of AI?This conversation did not disappoint. Dan offers humor, wisdom, and a no-bullshit attitude toward designing a meaningful existence. If you aren’t already familiar with him, you’re welcome.Show Notes:Follow Dan (@Dan_Jeffries1) on Twitter.Check out his work on Medium.Go read some Jed McKenna, Dan’s primary spiritual inspiration.

Episode 14 of the Hacker Noon Podcast: An interview with Science Fiction author, and futurist Daniel Jeffries. In this episode Trent Lapinski and Daniel Jeffries discuss cryptocurrency, blockchain, AI, future technology, and philosophy. “We need to stop throwing the damn baby out with the bathwater, and assume that decentralized everything just works because it’s decentralized.” “These things that we have now, they are still in their earliest phase. We barely understand them. They are going to evolve into something so mind boggling different from what we have today.” “We have to look to each structure, and abstract out the things that work and create new mitigation systems that solve the problems of the existing ones, and when we make the next iteration we stand on the shoulders of giants.” — Daniel Jeffries Production and music by Derek Bernard - https://haberdasherband.com/production Host: Trent Lapinski - https://trentlapinski.com

Daniel Jeffries is a writer, not only of dystopian sci-fi, but also on the decentralized world of blockchain technology. In this interview, Daniel and Elaine talk about how he differentiated himself from other writers in the blockchain space when he started years ago, how distribution at point of creation will be key for the wider adoption of cryptocurrencies, and how the community will one day create a killer app without even realizing it. List of Topics Covered in This Episode: 00:00 - Introduction to Daniel Jeffries 01:30 - Sci-Fi writing, discovering blockchain 02:52 - Categories vs. iterations of technology 05:40 - The evolution of money 07:24 - How blockchain can go wrong 10:00 - Parallel economic operating systems 13:50 - Shifting the focus from creation of cryptocurrency to distribution 16:52 - Triple-entry accounting 18:45 - “Right now... If crypto is chess, it needs to become checkers” 20:30 - Bitcoin’s 50/50 shot at survival 23:15 - Daniel Jeffries plan for the future 25:00 - Closing remarks Follow blockstreetHQ! Website: http://www.blockstreethq.com Twitter: http://www.twitter.com/blockstreethq Medium: http://www.medium.com/blockstreethq Soundcloud: http://www.soundcloud.com/blockstreethq Follow Elaine Ramirez! Twitter: http://www.twitter.com/elainegija Follow Daniel Jeffries! Twitter: https://twitter.com/dan_jeffries1 Medium: https://medium.com/@dan.jeffries

Will hundreds of coins flourish?  Will economic thought change completely?  Will it be a force for good or evil? And will Bitcoin even survive? All this and more in the second half of Daniel Jeffries great piece on the Future of Bitcoin! Don't miss his other great article on Hacker Noon, plus the many links and further reading in today's article:https://hackernoon.com/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c   Support the show:Looking to Secure your Bitcoin with TREZOR?Shop.Trezor.io Affiliate Link Or Donate To:3Nn8jJSfK2oFherVWQUGXgesvHpzbMckz5 --- Send in a voice message: https://anchor.fm/thecryptoconomy/message

Will hundreds of coins flourish?  Will economic thought change completely?  Will it be a force for good or evil? And will Bitcoin even survive? All this and more in the second half of Daniel Jeffries great piece on the Future of Bitcoin! Don't miss his other great article on Hacker Noon, plus the many links and further reading in today's article:https://hackernoon.com/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c   Support the show:Looking to Secure your Bitcoin with TREZOR?Shop.Trezor.io Affiliate Link Or Donate To:3Nn8jJSfK2oFherVWQUGXgesvHpzbMckz5 --- Send in a voice message: https://podcasters.spotify.com/pod/show/bitcoinaudible/message

Will the price increase forever?  Will government currencies be a thing of the past? Will there be a singular, global economy? And how do we make interesting predictions in the first place? All this and more in the first half of Daniel Jeffries great piece on the Future of Bitcoin. Don't miss his other great article on Hacker Noon, plus the many links and further reading in today's article:https://hackernoon.com/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c   Support the show:Looking to Secure your Bitcoin with TREZOR?Shop.Trezor.io Affiliate Link Or Donate To:3Nn8jJSfK2oFherVWQUGXgesvHpzbMckz5 --- Send in a voice message: https://anchor.fm/thecryptoconomy/message

Will the price increase forever?  Will government currencies be a thing of the past? Will there be a singular, global economy? And how do we make interesting predictions in the first place? All this and more in the first half of Daniel Jeffries great piece on the Future of Bitcoin. Don't miss his other great article on Hacker Noon, plus the many links and further reading in today's article:https://hackernoon.com/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c   Support the show:Looking to Secure your Bitcoin with TREZOR?Shop.Trezor.io Affiliate Link Or Donate To:3Nn8jJSfK2oFherVWQUGXgesvHpzbMckz5 --- Send in a voice message: https://podcasters.spotify.com/pod/show/bitcoinaudible/message

Daniel Jeffries talks about his best altcoin investment strategy, and understanding the curve of technological innovation and adoption. Show notes: http://cryptoradio.io/daniel3 This episode is sponsored by: http://cryptoradio.io/play

Daniel Jeffries discusses the biggest mistakes he has made as a crypto trader, and the most important things he learned from the most successful traders. Show notes: http://cryptoradio.io/daniel2 This episode is sponsored by: http://cryptoradio.io/play

Daniel Jeffries talks about the best mindset for becoming a successful crypto trader. Show notes: http://cryptoradio.io/daniel1 This episode is sponsored by: http://cryptoradio.io/play

Daniel Jeffries dives deeper into discussion of ideologies, systems thinking and the meaning of life. Show notes: http://futurethinkers.org/50 This episode is sponsored by Qualia, Broad-Spectrum Cognitive Enhancement: http://futurethinkers.org/qualia Help us make more episodes: http://futurethinkers.org/support Crypto Radio podcast: http://cryptoradio.io CoSyndicate crypto investment platform: http://cosyndicate.io Check out our merch store: https://www.redbubble.com/people/futurethinkers

Dan Jeffries talks about the most powerful impact of cryptocurrency, the ideology issues connected with incentivization and how a direct decentralized democracy might look like in the future.   Show notes: http://futurethinkers.org/49 Crypto Radio podcast: http://cryptoradio.io CoSyndicate crypto investment platform: http://cosyndicate.io Support Future Thinkers: http://futurethinkers.org/support Check out our merch store: https://www.redbubble.com/people/futurethinkers  

Daniel Jeffries joins us to talk about bitcoin and where he feels it is goin in the next 20 years. Great conversation in crypto https://hackernoon.com/what-will-bitcoin-look-like-in-twenty-years-7e75481a798c