Podcasts about economic singularity

In this episode, we return to a theme which is likely to become increasingly central to public discussion in the months and years ahead. To use a term coined by this podcast's cohost Calum Chace, this theme is the Economic Singularity, namely the potential all-round displacement of humans from the workforce by ever more capable automation. That leads to the question: what are our options for managing the transition of society to increasing technological unemployment and technological underemployment.Our guest, who will be sharing his thinking on these questions, is the prolific writer and YouTuber David Shapiro. As well as keeping on top of fast-changing news about innovations in AI, David has been developing a set of ideas he calls post-labour economics – how an economy might continue to function even if humans can no longer gain financial rewards in direct return for their labour.Selected follow-ups:David Shapiro's SubstackDavid Shapiro's channel on YouTubeJulia McCoy's channel on YouTubeNext stop: Miami - WaymoResource Based EconomyDebt: The First 5,000 Years - book by David GraeberBroken Money: Why Our Financial System is Failing Us and How We Can Make it Better - book by Lyn AldenThe Bitcoin Standard: The Decentralized Alternative to Central Banking - book by Saifedean AmmousNormalcy bias - WikipediaWhy Nations Fail: The Origins of Power, Prosperity, and Poverty - book by Daron Acemoğlu and James A. RobinsonPrinciples for Dealing with the Changing World Order: Why Nations Succeed and Fail - book by Ray DalioVulture Capitalism: Corporate Crimes, Backdoor Bailouts, and the Death of Freedom - book by Grace BlakeleyThe Economic Singularity: Artificial Intelligence and Fully Automated Luxury Capitalism - book by Calum ChaceMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

I am Carlo Pignataro and this is a new episode of Lux & Friends. Today we delve into the fascinating and rapidly evolving world of Artificial Intelligence with a true thought leader in the field, Calum Chace.Calum is a renowned author, speaker, and commentator who has dedicated his ninth career to exploring the profound implications of AI on our lives, society, and future. He's penned several insightful books, including "Surviving AI," "The Economic Singularity," and the science fiction novels "Pandora's Brain" and "Pandora's Oracle." He's also a regular contributor to Forbes and co-founded the Economic Singularity Club, a think tank focused on the future of jobs.Calum's work grapples with some of the biggest questions of our time: How will AI impact the economy and the job market? What are the ethical considerations surrounding superintelligence? And how can we navigate the challenges and opportunities that AI presents?Join us as we pick Calum's brain on these topics and more. We'll discuss his unique perspective on the Economic Singularity, the potential benefits and risks of advanced AI, and his vision for the future in the age of intelligent machines.Buckle up, listeners, because this is going to be a thought-provoking ride! Let's welcome Calum Chace to Lux & Friends.

Raoul Pal, founder and CEO of Real Vision and author of the Global Macro Investor, joins Julia La Roche on episode 198 to share his macro outlook and why he thinks we're headed for an Economic Singularity with the rise of AI. ✨ This episode is sponsored by Public.com. Lock in your 6.6% yield: https://public.com/julia ✨ Paid endorsement for Public Investing, Inc. Not investment advice. All investing involves the risk of loss, including loss of principal. Brokerage services for US Listed and registered securities, options and Bonds in a self-directed brokerage account are offered by Public Investing. ETFs, options and Bonds are available to US members only.  *A Bond Account is a self-directed brokerage account with Public Investing, member FINRA/SIPC. Deposits into this account are used to purchase 10 fractional investment-grade and high-yield bonds. The 6.6% yield is the average annualized yield to maturity (YTM) across all ten bonds in the Bond Account, before fees, as of 9/18/2024. A bond's yield is a function of its market price, which can fluctuate, and a bond's YTM is “locked in” when the bond is purchased. Your yield at time of purchase may be different from the yield shown here. The “locked in” YTM is not guaranteed; you may receive less than the YTM of the bonds in the Bond Account if you sell any of the bonds before maturity, or if the issuer calls or defaults on the bond. While corporate bond yields should fall in reaction to a Federal Reserve rate cut, we cannot know whether that will be true of the bonds in the Bond Account, how quickly bond yields will respond, or how much they will decline. Public Investing charges a markup on each bond trade. Bond Accounts are not recommendations of individual bonds or default allocations. The bonds in the Bond Account have not been selected based on your needs or risk profile. Fractional Bonds also carry risks including liquidity risk, interest rate risk, credit risk, inflation risk, and potential tax liabilities. Read more about the risks associated with fixed income and fractional bonds and learn more about the Bond Account at https://public.com/disclosures/bond-account. Links: Twitter/X: https://twitter.com/raoulgmi GMI: https://globalmacroinvestor.com/ Real Vision: https://www.realvision.com/ 00:00 Welcome Raoul Pal and Real Vision's 10-year anniversary 01:39 The Everything Code and macro cycles explained 05:38 Explaining liquidity and its sources 07:29 Central banks, liquidity, and currency debasement 11:42 Risk-taking and asset performance in the current environment 15:02 The exciting macro setup and market opportunities ahead 17:43 Addressing misconceptions about recessions and market bubbles 22:23 Federal Reserve rate cuts and inflation outlook 25:58 Raoul's evolution to a more optimistic market view 34:45 The concept of economic singularity explained 38:20 AI's impact on productivity and economic growth 42:20 Preparing for the economic singularity in the next 6 years 43:58 Bitcoin as a high-performing asset 45:07 Real Vision's past and future outlook 48:58 Closing thoughts on "unf***ing your future"

"Artificial Intelligence and the Death of Capitalism"

This and all episodes at: https://aiandyou.net/ .   In our now-traditional end-of-year episode, we look back on the year to date and forward to the year to be. I am joined by previous guest Calum Chace, co-host of the London Futurists podcast and author of The Economic Singularity, and Justin Grammens, founder of the AppliedAI conference and podcast. Together, we review what happened with AI in 2023 and make some predictions for 2024. We look back at the impact of large language models such as #ChatGPT and forward to how they will evolve and change the workplace, economy, and society. We also discuss the future of regulation, the EU AI Act, the 2024 US elections, disinformation, and the future of education. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.          

The UK government has announced plans for a global AI Safety Summit, to be held in Bletchley Park in Buckinghamshire, outside London, on 1st and 2nd of November. That raises the importance of thinking more seriously about potential scenarios for the future of AI. In this episode, co-hosts Calum and David review Calum's concept of the Economic Singularity - a topic that deserves to be addressed at the Bletchley Park Summit.Selected follow-ups:https://www.gov.uk/government/news/uk-government-sets-out-ai-safety-summit-ambitionshttps://calumchace.com/the-economic-singularity/https://transpolitica.org/projects/surveys/anticipating-ai-30/Topics addressed in this episode include:*) The five themes announced for the AI Safety Summit*) Three different phases in the future of AI, and the need for greater clarity about which risks and opportunities apply in each phase*) Two misconceptions about the future of joblessness*) Learning from how technology pushed horses out of employment*) What the word 'singularity' means in the term "Economic Singularity"*) Sources of meaning, beyond jobs and careers*) Contrasting UBI and UGI (Universal Basic Income and Universal Generous Income)*) Two different approaches to making UGI affordable*) Three forces that are driving prices downward*) Envisioning a possible dual economy*) Anticipating "the great churn" - the accelerated rate of change of jobs*) The biggest risk arising from technological unemployment*) Flaws in the concept of GDP (Gross Domestic Product)*) A contest between different narratives*) Signs of good reactions by politicians*) Recalling Christmas 1914*) Suspension of "normal politics"*) Have invitations been lost in the post?*) 16 questions about what AI might be like in 2030Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

Despite the impressive recent progress in AI capabilities, there are reasons why AI may be incapable of possessing a full "general intelligence". And although AI will continue to transform the workplace, some important jobs will remain outside the reach of AI. In other words, the Economic Singularity may not happen, and AGI may be impossible.These are views defended by our guest in this episode, Kenneth Cukier, the Deputy Executive Editor of The Economist newspaper.For the past decade, Kenn was the host of its weekly tech podcast Babbage. He is co-author of the 2013 book “Big Data", a New York Times best-seller that has been translated into over 20 languages. He is a regular commentator in the media, and a popular keynote speaker, from TED to the World Economic Forum.Kenn recently stepped down as a board director of Chatham House and a fellow at Oxford's Saïd Business School. He is a member of the Council on Foreign Relations. His latest book is "Framers", on the power of mental models and the limits of AI.Follow-up reading:http://www.cukier.com/https://mediadirectory.economist.com/people/kenneth-cukier/https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/Kurzweil's version of the Turing Test: https://longbets.org/1/Topics addressed in this episode include:*) Changing attitudes at The Economist about how to report on the prospects for AI*) The dual roles of scepticism regarding claims made for technology*) 'Calum's rule' about technology forecasts that omit timing*) Options for magazine coverage of possible developments more than 10 years into the future*) Some leaders within AI research, including Sam Altman of OpenAI, think AGI could happen within a decade*) Metaculus community aggregate forecasts for the arrival of different forms of AGI*) A theme for 2023: the increased 'emergence' of unexpected new capabilities within AI large language models - especially when these models are combined with other AI functionality*) Different views on the usefulness of the Turing Test - a test of human idiocy rather than machine intelligence?*) The benchmark of "human-level general intelligence" may become as anachronistic as the benchmark of "horsepower" for rockets*) The drawbacks of viewing the world through a left-brained hyper-rational "scientistic" perspective*) Two ways the ancient Greeks said we could find truth: logos and mythos*) People in 2023 finding "mythical, spiritual significance" in their ChatGPT conversations*) Appropriate and inappropriate applause for what GPTs can do*) Another horse analogy: could steam engines that lack horse-like legs really replace horses?*) The Ship of Theseus argument that consciousness could be transferred from biology to silicon*) The "life force" and its apparently magical, spiritual aspects*) The human superpower to imaginatively reframe mental models*) People previously thought humans had a unique superpower to create soul-moving music, but a musical version of the Turing Test changed minds*) Different levels of creativity: not just playing games well but inventing new games*) How many people will have paid jobs in the future?*) Two final arguments why key human abilities will remain unique*) The "pragmatic turn" in AI: duplicating without understanding*) The special value, not of information, but of the absence of information (emptiness, kenosis, the "cloud of unknowing")*) The temptations of mimicry and idolatryMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

In this episode of AI For Pharma Growth, Dr. Andree Bates is joined by Calum Chace to discuss a wide range of topics including philosophy, autonomous cars, drug development costs, and the current state of the healthcare industry. They explore the potential unintended consequences of technological advancements such as the arrival of technological unemployment and AI safety concerns. Calum explains the potential impact of emerging technologies such as Neurolink on the future of human evolution. Dr. Bates and Calum share perspectives and valuable insights into the intersection of technology and healthcare.   In this episode you will learn:  How did you become interested in the field of philosophy The unintended consequences of autonomous cars How much it costs to develop drugs What is the current state of the healthcare industry Ai and Ai safety concerns Neurolink and the future of technology   Click to connect with Dr. Andree Bates for more information in this episode: https://eularis.com/ AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start-up biotech right through to Big Pharma. In this podcast, Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget. As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and future-tech to help you to navigate through the, sometimes confusing but, magical world of AI-powered tools to grow pharma businesses. This podcast features many experts who have developed powerful AI-powered tools that are the secret behind some time-saving and supercharged revenue-generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more. Resources: Dr. Andree Bates LinkedIn | Facebook | Twitter

In the last few weeks, the pace of change in AI has been faster than ever before. The changes aren't just announcements of future capabilities - announcements that could have been viewed, perhaps, as hype. The changes are new versions of AI systems that are available for users around the world to experiment with, directly, here and now. These systems are being released by multiple different companies, and also by open-source collaborations. And users of these systems are frequently expressing surprise: the systems are by no means perfect, but they regularly out-perform previous expectations, sometimes in astonishing ways.In this episode, Calum Chace and David Wood, the co-hosts of this podcast series, discuss the wider implications of these new AI systems. David asks Calum if he has changed any of his ideas about what he has called "the two singularities", namely the Economic Singularity and the Technological Singularity, as covered in a number of books he has written.Calum has been a full-time writer and speaker on the subject of AI since 2012. Earlier in his life, he studied philosophy, politics, and economics at Oxford University, and trained as a journalist at the BBC. He wrote a column in the Financial Times and nowadays is a regular contributor to Forbes magazine. In between, he held a number of roles in business, including leading a media practice at KPMG. In the last few days, he has been taking a close look at GPT-4.Selected follow-up reading:https://calumchace.com/the-economic-singularity/https://calumchace.com/surviving-ai-synopsis/Topics in this conversation include:*) Is the media excitement about GPT-4 and its predecessor ChatGPT overblown, or are these systems signs of truly important disruptions?*) How do these new AI systems compare with earlier AIs?*) The two "big bangs" in AI history*) How transformers work*) The difference between self-supervised learning and supervised learning*) The significance of OpenAI enabling general public access to ChatGPT*) Market competition between Microsoft Bing and Google Search*) Unwholesome replies by Microsoft Sydney and Google Bard - and the intended role of RLHF (Reinforcement Learning with Human Feedback)*) How basic reasoning seems to emerge (unexpectedly) from pattern recognition at sufficient scale*) Examples of how the jobs of knowledge workers are being changed by GPT-4*) What will happen to departments where each human knowledge workers has a tenfold productivity boost?*) From the job churns of the past to the Great Churn of the near future*) The forthcoming wave of automation is not only more general than past waves, but will also proceed at a much faster pace*) Improvements in the writing AI produces, such as book chapters*) Revisions of timelines for the Economic and Technological Singularity?*) It now seems that human intelligence is less hard to replicate than was previously thought*) The Technological Singularity might arrive before an Economic Singularity*) The liberating vision of people no longer needing to be wage slaves, and the threat of almost everyone living in poverty*) The insufficiency of UBI (Universal Basic Income) unless an economy of abundance is achieved (bringing the costs of goods and services down toward zero)*) Is the creation of AI now out of control, with a rush to release new versions?*) The infeasibility of the idea of AGI relinquishment*) OpenAI's recent actions assessed*) Expectations for new AI releases in the remainder of 2023: accelerating paceMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

In this episode, I read an article from 2011, that will absolutely BLOW your mind. It's as if it was written last year, and is one of the pieces of Bitcoin History which you just have to look at and marvel. https://themonetaryfuture.blogspot.com/2011/06/bitcoin-is-economic-singularity.html?m=1 Written by Ryan Dickherber, or "Astrohacker", I promise you, you're going to wish you had read this 10yrs ago. I hope enjoy this bit of Bitcoin History and if you like what we're doing here with the reads, send us a comment via a "boost" on Fountain or any value-for-value app. https://play.fountain.fm/show/KGEglVpdWo4zXQWR3X7G And of course, subscribe to the channel across all the mediums you're on. Here's a few links to help you do that: https://play.fountain.fm/show/KGEglVpdWo4zXQWR3X7G https://rumble.com/c/c-1677935 https://anchor.fm/wakeuppod https://www.youtube.com/c/WakeUpPod ____________________________________ Thanks again for listening. Check out the new book @ UnCommunist.com Shout out The Bitcoin Times @TimelessBitcoin You can follow my work at: - Linktree.com/Svetski - Twitter @GhostOfSvetski - IG @AleksSvetski - https://svetski.medium.com - https://bitcoinmagazine.com/authors/aleksandarsvetski More coming soon!

This and all episodes at: https://aiandyou.net/ .   Calum Chace is a keynote speaker and the author of Surviving AI: The Promise and Peril of Artificial Intelligence, and The Economic Singularity: Artificial Intelligence and the Death of Capitalism. We talked in this first part about his concept of the Economic Singularity, a transformation of the socioeconomic space he says will arrive much sooner than Ray Kurzweil's famed singularity. All this plus our usual look at today's AI headlines. Transcript and URLs referenced at HumanCusp Blog.        

Mordy Oberstein joins the JavaScript Jabber panel to discuss SEO and how what seems like a marketing concern is relevant and exciting for developers. SEO is working with a black box with regards to Google since Google and other search engines don't tell you anything about how they adjust their search algorithms. Mordy walks through how developers can contribute to the issues around showing up in search engine results. Panel AJ O'NealDan ShappirSteve Edwards Guest Mordy Oberstein Sponsors Shortcut (formerly Clubhouse.io)Raygun | Click here to get started on your free 14-day trialTop End Devs Links The Best SEO Podcast for Tips & InsightsMordy Oberstein - Facebook Picks AJ- Better off Ted - Jabberwocky Project - YouTubeAJ- Rise of the RobotsAJ- The Economic SingularityAJ- Dangerous Wrongthinkers ( AlignPay and 2nd Amendment Processing )AJ- Creeds of CraftsmanshipDan- Google Is The Most Searched Word On BingDan- Have Single-Page Apps Ruined the Web? | Transitional Apps with Rich Harris, NYTimes - YouTubeMordy- For All Mankind | Apple TV+Steve- Best Practices (why I Hate Them)Steve- The wholly pun bible - InstagramSteve- Dad Jokes by Pubity - Instagram Contact AJ: AJ ONealCoolAJ86 on GITBeyond Code BootcampBeyond Code Bootcamp | GitHubFollow Beyond Code Bootcamp | FacebookTwitter: Beyond Code Bootcamp ( @_beyondcode )coolaj86- Twitch Contact Dan: GitHub: Dan Shappir ( DanShappir )LinkedIn: Dan ShappirTwitter: Dan Shappir ( @DanShappir ) Contact Steve: Twitter: Steve Edwards ( @wonder95 )GitHub: Steve Edwards ( wonder95 )LinkedIn: Steve Edwards Special Guest: Mordy Oberstein.

Mordy Oberstein joins the JavaScript Jabber panel to discuss SEO and how what seems like a marketing concern is relevant and exciting for developers. SEO is working with a black box with regards to Google since Google and other search engines don't tell you anything about how they adjust their search algorithms. Mordy walks through how developers can contribute to the issues around showing up in search engine results. Panel AJ O'NealDan ShappirSteve Edwards Guest Mordy Oberstein Sponsors Shortcut (formerly Clubhouse.io)Raygun | Click here to get started on your free 14-day trialTop End Devs Links The Best SEO Podcast for Tips & InsightsMordy Oberstein - Facebook Picks AJ- Better off Ted - Jabberwocky Project - YouTubeAJ- Rise of the RobotsAJ- The Economic SingularityAJ- Dangerous Wrongthinkers ( AlignPay and 2nd Amendment Processing )AJ- Creeds of CraftsmanshipDan- Google Is The Most Searched Word On BingDan- Have Single-Page Apps Ruined the Web? | Transitional Apps with Rich Harris, NYTimes - YouTubeMordy- For All Mankind | Apple TV+Steve- Best Practices (why I Hate Them)Steve- The wholly pun bible - InstagramSteve- Dad Jokes by Pubity - Instagram Contact AJ: AJ ONealCoolAJ86 on GITBeyond Code BootcampBeyond Code Bootcamp | GitHubFollow Beyond Code Bootcamp | FacebookTwitter: Beyond Code Bootcamp ( @_beyondcode )coolaj86- Twitch Contact Dan: GitHub: Dan Shappir ( DanShappir )LinkedIn: Dan ShappirTwitter: Dan Shappir ( @DanShappir ) Contact Steve: Twitter: Steve Edwards ( @wonder95 )GitHub: Steve Edwards ( wonder95 )LinkedIn: Steve Edwards Special Guest: Mordy Oberstein.

#theaiguy #artificialintelligence #pandorasbrain #singularity #economicsingularity Calum Chace is a keynote speaker, best-selling author focusing on the likely future impact of Artificial Intelligence on people and societies. who has authored books such as ”The Economic Singularity" ; ”Surviving AI" ; and the "Pandora's Brain" which is a novel about the first superintelligence on earth. Before becoming a full-time speaker and author, Calum had a 30-year career in business and journalism, working for the BBC, BP, and KPMG among others He has published five books on Artificial Intelligence. In 2017, Chace co-founded the Economic Singularity Club, "a loose group of technologists, academics, and writers who think the threat of mass technological unemployment is worth taking seriously". In January 2019 the group published Stories from 2045, a collection of short stories by some of its members speculating on what the world might look like in 2045. In July 2019, Chace was listed among the top 50 futurist speakers in the world https://www.linkedin.com/in/calum-chace-bb68168/ https://www.forbes.com/sites/calumchace/ https://calumchace.wordpress.com/about/ https://twitter.com/cccalum

Will machine learning replace humans? In this episode of Are You A Robot?, Calum Chace joins us to discuss his views on how AI and machine learning will change the workforce. Calum Chace is a best-selling author on artificial intelligence and keynote speaker. You can follow him on Twitter (@cccalum) and LinkedIn: https://bit.ly/3vCqGuQ This episode is brought to you by EthicsGrade, an ESG Ratings agency with a particular focus on Technology Governance, especially AI Ethics. You can find more information about EthicsGrade here: https://www.ethicsgrade.io/ You can also follow EthicsGrade on Twitter (@EthicsGrade) and LinkedIn: https://bit.ly/2JCiQOg Connect with Us: Join our Slack channel for more conversation about the big ethics issues that rise from AI: https://bit.ly/3jVdNov Follow Are You A Robot? on Twitter, Instagram and Facebook: @AreYouARobotPod Follow our LinkedIn page: https://bit.ly/3gqzbSw Follow Demetrios on Twitter @Dpbrinkm and LinkedIn: https://bit.ly/2TPrA5w Resources: “Are We Spiritual Machines?” https://amzn.to/3vxzdz4 Calum's book – “Pandora's Brain” https://amzn.to/3cJSBAo Calum's book – “Surviving AI: The promise and peril of artificial intelligence”: https://amzn.to/3vw0FgN Calum's book - “The Economic Singularity”: https://amzn.to/3qUjFly Episode with Dylan Beattie: http://bit.ly/3ln6rws Episode with Sidney Madison Prescott: https://bit.ly/2ZppBaK

Tanmai is one of the founders at Hasura. Hasura gives you instant graphQL APIs on top of a Postgres database. The eventual idea is to make data access secure and easy. Tanmai explains the challenges of doing this in the cloud. He talks about some of the difficulties with the tooling around using GraphQL and its bias towards working well with a monolith. Since GraphQL is basically a shared type system that describes your API, that means all your types need to be in the same code base. This is at odds with the folks who want to do microservices and serverless functions, because since their API is split across multiple services they have different types, and forcing these types to work together defeats the purpose of using microservices. Also, storing state across requests doesn’t work well with serverless and cloud native stuff. In short, learning to live without state is one of the general challenges with going serverless.  This is where Hasura comes into play, and Tanmai explains how it works. Hasura is metadata driven, and each instance of the server can leverage multiple calls and exhibit a high amount of concurrency. It’s designed to be a little more CPU bound than memory bound, which means that configuring auto scaling on it is very easy and allows you to utilize the elasticity of cloud native applications. Tanmai clarifies his usage of the word ‘cloud native’, by which he means microservices. He explains that when you have a metadata based engine, this metadata has a language that allows you to bring to bring in types from multiple upstream microservices, and create a coherent graphQL API on top of that. Hasura is a middle man between the microservices and the consumer that converts multiple types into a single coherent graphQL API. Next, Tanmai explains how Hasura handles data fetching and a high volume of requests. They also invented PostgresQL, RLS-like semantics within Hasura. He explains the process for merging your microservices into a single graphQL interface. Back on data fetching, Tanmai explains that when the product is an app, preventing an overabundance of queries becomes easier because during one of the staging processes that they have, they extract all of the queries that the app is actually making, and in the production version it only allows the queries that it has seen before. Hasura is focused on both the public interface and private use cases, though private is slightly better supported.  Tanmai talks about the customizations available with Hasura. Hasura supports two layers. One is an aliasing layer that lets you rename tables, columns, etc as exposed by PostgresQL. The other is a computer column, so that you can add computer columns so you can extend the type that you get from a data model, and then you can point that to something that you derive.  The panelist discusses the common conception of why it is a bad idea to expose the data models to the frontend folks directly. They discuss the trend of ‘dumbing down’ available tooling to appeal to junior developers, at the cost of making the backend more complicated. They talk about some of the issues that come from this, and the importance of tooling to solve this concern.  Finally, Tanmai talks about the reasons to use Hasura over other products. There are 2 technologies that help with integrating arbitrary data sources. First is authorization grammar, their version of RLS that can extend to any system of types and relationships, The second is the data wrapper, part of the compiler that compiles from the graphQL metadata AST to the actual SQL AST. That is a generic interface, so anyone can come in and plug in a Haskell module that has that interface and implement a backend compiler for a native query language. This allows us to plug in other sources and stitch microservices together. The show concludes with Tanmai talking about their choice to use Haskell to make Hasura.  Panelists AJ O’Neal Dan Shapir Steve Edwards Charles Max Wood With special guest: Tanmai Gopal Sponsors Adventures in DevOps Sentry use the code “devchat” for 2 months free on Sentry’s small plan The Dev Ed Podcast Links Hasura Haskell Node.js Cloud Native Microservices  PostGraphile  Postgres  PostgresQL RLS Swagger JAMstack Soap Rest Follow DevChatTV on Facebook and Twitter Picks AJ O’Neal: The Economic Singularity Capital Cities GameCube Homebrew Dan Shapir: Romania JSCamp Steve Edwards: Cold Blooded: The Clutter Family Murders Charles Max Wood: Maxcoders.io TripIt St. George Marathon VO2 Max app Tanmai Gopal:  Follow Tanmai on Twitter @tanmaigo Broken Earth Trilogy The Three-Body Problem graphQL Asia

Tanmai is one of the founders at Hasura. Hasura gives you instant graphQL APIs on top of a Postgres database. The eventual idea is to make data access secure and easy. Tanmai explains the challenges of doing this in the cloud. He talks about some of the difficulties with the tooling around using GraphQL and its bias towards working well with a monolith. Since GraphQL is basically a shared type system that describes your API, that means all your types need to be in the same code base. This is at odds with the folks who want to do microservices and serverless functions, because since their API is split across multiple services they have different types, and forcing these types to work together defeats the purpose of using microservices. Also, storing state across requests doesn’t work well with serverless and cloud native stuff. In short, learning to live without state is one of the general challenges with going serverless.  This is where Hasura comes into play, and Tanmai explains how it works. Hasura is metadata driven, and each instance of the server can leverage multiple calls and exhibit a high amount of concurrency. It’s designed to be a little more CPU bound than memory bound, which means that configuring auto scaling on it is very easy and allows you to utilize the elasticity of cloud native applications. Tanmai clarifies his usage of the word ‘cloud native’, by which he means microservices. He explains that when you have a metadata based engine, this metadata has a language that allows you to bring to bring in types from multiple upstream microservices, and create a coherent graphQL API on top of that. Hasura is a middle man between the microservices and the consumer that converts multiple types into a single coherent graphQL API. Next, Tanmai explains how Hasura handles data fetching and a high volume of requests. They also invented PostgresQL, RLS-like semantics within Hasura. He explains the process for merging your microservices into a single graphQL interface. Back on data fetching, Tanmai explains that when the product is an app, preventing an overabundance of queries becomes easier because during one of the staging processes that they have, they extract all of the queries that the app is actually making, and in the production version it only allows the queries that it has seen before. Hasura is focused on both the public interface and private use cases, though private is slightly better supported.  Tanmai talks about the customizations available with Hasura. Hasura supports two layers. One is an aliasing layer that lets you rename tables, columns, etc as exposed by PostgresQL. The other is a computer column, so that you can add computer columns so you can extend the type that you get from a data model, and then you can point that to something that you derive.  The panelist discusses the common conception of why it is a bad idea to expose the data models to the frontend folks directly. They discuss the trend of ‘dumbing down’ available tooling to appeal to junior developers, at the cost of making the backend more complicated. They talk about some of the issues that come from this, and the importance of tooling to solve this concern.  Finally, Tanmai talks about the reasons to use Hasura over other products. There are 2 technologies that help with integrating arbitrary data sources. First is authorization grammar, their version of RLS that can extend to any system of types and relationships, The second is the data wrapper, part of the compiler that compiles from the graphQL metadata AST to the actual SQL AST. That is a generic interface, so anyone can come in and plug in a Haskell module that has that interface and implement a backend compiler for a native query language. This allows us to plug in other sources and stitch microservices together. The show concludes with Tanmai talking about their choice to use Haskell to make Hasura.  Panelists AJ O’Neal Dan Shapir Steve Edwards Charles Max Wood With special guest: Tanmai Gopal Sponsors Adventures in DevOps Sentry use the code “devchat” for 2 months free on Sentry’s small plan The Dev Ed Podcast Links Hasura Haskell Node.js Cloud Native Microservices  PostGraphile  Postgres  PostgresQL RLS Swagger JAMstack Soap Rest Follow DevChatTV on Facebook and Twitter Picks AJ O’Neal: The Economic Singularity Capital Cities GameCube Homebrew Dan Shapir: Romania JSCamp Steve Edwards: Cold Blooded: The Clutter Family Murders Charles Max Wood: Maxcoders.io TripIt St. George Marathon VO2 Max app Tanmai Gopal:  Follow Tanmai on Twitter @tanmaigo Broken Earth Trilogy The Three-Body Problem graphQL Asia

Tanmai is one of the founders at Hasura. Hasura gives you instant graphQL APIs on top of a Postgres database. The eventual idea is to make data access secure and easy. Tanmai explains the challenges of doing this in the cloud. He talks about some of the difficulties with the tooling around using GraphQL and its bias towards working well with a monolith. Since GraphQL is basically a shared type system that describes your API, that means all your types need to be in the same code base. This is at odds with the folks who want to do microservices and serverless functions, because since their API is split across multiple services they have different types, and forcing these types to work together defeats the purpose of using microservices. Also, storing state across requests doesn’t work well with serverless and cloud native stuff. In short, learning to live without state is one of the general challenges with going serverless.  This is where Hasura comes into play, and Tanmai explains how it works. Hasura is metadata driven, and each instance of the server can leverage multiple calls and exhibit a high amount of concurrency. It’s designed to be a little more CPU bound than memory bound, which means that configuring auto scaling on it is very easy and allows you to utilize the elasticity of cloud native applications. Tanmai clarifies his usage of the word ‘cloud native’, by which he means microservices. He explains that when you have a metadata based engine, this metadata has a language that allows you to bring to bring in types from multiple upstream microservices, and create a coherent graphQL API on top of that. Hasura is a middle man between the microservices and the consumer that converts multiple types into a single coherent graphQL API. Next, Tanmai explains how Hasura handles data fetching and a high volume of requests. They also invented PostgresQL, RLS-like semantics within Hasura. He explains the process for merging your microservices into a single graphQL interface. Back on data fetching, Tanmai explains that when the product is an app, preventing an overabundance of queries becomes easier because during one of the staging processes that they have, they extract all of the queries that the app is actually making, and in the production version it only allows the queries that it has seen before. Hasura is focused on both the public interface and private use cases, though private is slightly better supported.  Tanmai talks about the customizations available with Hasura. Hasura supports two layers. One is an aliasing layer that lets you rename tables, columns, etc as exposed by PostgresQL. The other is a computer column, so that you can add computer columns so you can extend the type that you get from a data model, and then you can point that to something that you derive.  The panelist discusses the common conception of why it is a bad idea to expose the data models to the frontend folks directly. They discuss the trend of ‘dumbing down’ available tooling to appeal to junior developers, at the cost of making the backend more complicated. They talk about some of the issues that come from this, and the importance of tooling to solve this concern.  Finally, Tanmai talks about the reasons to use Hasura over other products. There are 2 technologies that help with integrating arbitrary data sources. First is authorization grammar, their version of RLS that can extend to any system of types and relationships, The second is the data wrapper, part of the compiler that compiles from the graphQL metadata AST to the actual SQL AST. That is a generic interface, so anyone can come in and plug in a Haskell module that has that interface and implement a backend compiler for a native query language. This allows us to plug in other sources and stitch microservices together. The show concludes with Tanmai talking about their choice to use Haskell to make Hasura.  Panelists AJ O’Neal Dan Shapir Steve Edwards Charles Max Wood With special guest: Tanmai Gopal Sponsors Adventures in DevOps Sentry use the code “devchat” for 2 months free on Sentry’s small plan The Dev Ed Podcast Links Hasura Haskell Node.js Cloud Native Microservices  PostGraphile  Postgres  PostgresQL RLS Swagger JAMstack Soap Rest Follow DevChatTV on Facebook and Twitter Picks AJ O’Neal: The Economic Singularity Capital Cities GameCube Homebrew Dan Shapir: Romania JSCamp Steve Edwards: Cold Blooded: The Clutter Family Murders Charles Max Wood: Maxcoders.io TripIt St. George Marathon VO2 Max app Tanmai Gopal:  Follow Tanmai on Twitter @tanmaigo Broken Earth Trilogy The Three-Body Problem graphQL Asia

Minter Dialogue Episode #325Calum Chace is a well-regarded author and speaker, focused on Artificial Intelligence. He's the co-founder of The Economic Singularity Club, a futurist think tank. His books include Surviving AI, The Economic Singularity and Pandora's Brain. His latest book, "Stories from 2045," is a collection of short stories exploring through fiction how AI and new tech will impact our world. In this conversation we discuss the challenges, opportunities and perils of AI, the Universal Basic Income option and much more. A stimulating chat about the future.Please send me your questions as an audio file or text to nminterdial@gmail.com; or you can find the show notes and comment on minterdial.com. If you liked the podcast, please take a moment to go over to iTunes to rate/review the podcast. Otherwise, you can find me @mdial on Twitter.Support the show (https://www.patreon.com/minterdial)

A conversation with author and futurist Calum Chace about how AI will impact jobs and the global economy. Send your comments and suggestions to me @societyiire or bob@societywire.net

Paul Ashcroft and Garrick Jones are joined by Calum Chase (author of The Economic Singularity, Pandora's Brain, and Artificial Intelligence and the Two Singularities) to discuss how digital has the capacity to unleash human potential by connecting us to each other and providing unprecedented access to knowledge. ALIVE: Digital Humans and Their Organizations is available on paperback and ebook in all good bookstores. Ludic Insights is brought to you by the Ludic Group, leaders in digital transformation. For more information, visit www.ludicgroup.com.

Paul Ashcroft and Garrick Jones are joined by Calum Chase (author of The Economic Singularity, Pandora’s Brain, and Artificial Intelligence and the Two Singularities) to discuss how digital has the capacity to unleash human potential by connecting us to each other and providing unprecedented access to knowledge. ALIVE: Digital Humans and Their Organizations is available on Kindle and paperback on Amazon and all major bookstores in store and online. Ludic Insights is brought to you by the Ludic Group, leaders in digital transformation. Ludic is a global consulting company that is shaping the future of work through next-generation consulting, engagement and learning. Their award winning digital tools enable organisations align strategically and solve their most complex problems in the fast changing digital era, with transformative results. For more information, visit http://www.ludicgroup.com. Join the conversation #LudicInsights

Calum Chace, Best-selling Author of the Books: The Two Singularities, The Economic Singularity, and Surviving AI participate in Risk Roundup to discuss Artificial Intelligence driven Economic Singularity. Artificial Intelligence Driven Economic Singularity Economic progress has always been driven by some sort of automation. In the last 150 years, internal combustion engines, electricity, and semiconductors driven […] The post Artificial Intelligence Driven Economic Singularity appeared first on Risk Group.

One of the most interesting and controversial topics today is the potential impact of AI on employment, economics and politics. Calum Chace has written a number of bestselling books on these topics including ‘Surviving AI’ and ‘The Economic Singularity’. We met up in London to talk about the broader social consequences of superintelligence, the merits of a Universal Basic Income, and how the concept of work and employment might radically change in the future.

One of the most interesting and controversial topics today is the potential impact of AI on employment, economics and politics. Calum Chace has written a number of bestselling books on these topics including ‘Surviving AI’ and ‘The Economic Singularity’. We met up in London to talk about the broader social consequences of superintelligence, the merits of a Universal Basic Income, and how the concept of work and employment might radically change in the future.

In this episode, I have a great pleasure of being joined by Calum Chace. Calum studied Philosophy at Oxford, where he initially developed his interest in AI. After a 30 year career in business, he started sharing his thoughts on AI with the world. Now, he is a distinguished author and sought-after speaker about artificial intelligence, and its likely future impact on society. His books include a novel Pandora’s Brain, and 3 non-fiction books: Surviving AI, The Economic Singularity, and Artificial Intelligence and The Two Singularities. Calum argues that superintelligence is closer than we think, and that humanity is on track to become second smartest species on the planet. Even a more pressing concern in his mind, is AI’s impact on employment and what can be done to ensure a smoother transition to a potentially jobless society. --- Send in a voice message: https://anchor.fm/bigfanofhumanrace/message

Donald Trump says tariffs on Chinese goods are necessary to 'protect American workers'. So who in the US might benefit from this action? Tennessee voted overwhelmingly for Mr Trump in 2016 and does more trade with China than any other US state. We hear from farmers facing Chinese tariffs on soy bean exports and a manufacturer worried about rising US steel prices. We also hear from Shelbyville, once called 'pencil city', where one of the last US pencil factories says its business has been damaged by cheap Chinese imports for decades. But is President Trump pointing the finger in the wrong direction when it comes to job losses? Calum Chace, author of The Economic Singularity and Our Jobless Future: An Essay on Artificial Intelligence and the Economic Singularity, says the decline in manufacturing has much more to do with automation than it does with China.(Picture: US President Donald Trump at the American Farm Bureau Federation's Annual Convention in Nashville, Tennessee. Credit: Jim Watson/Getty Images)

Alternative Investment Explorer, AI and Agtech futurist Brian D Colwell joins us for a chat about the future of work, AI, economic singularity, his investment trend suggestions and much more. For more on Brian, visit https://briandcolwell.com Ronan Murphy, CEO of Smarttech 247 joins us to let us know about his latest global partnership with IBM Watson and how AI has led to more jobs in his firm. He also tells us about the global ransomware attacks and that there are much more where that came from. You can find out more about cybersecurity and threats from https://www.smarttech.ie/.

How should we respond to the economic, social and moral consequences of automation driven by advancements in artificial intelligence? We are, argues Calum Chace (author of ‘Pandora’s Brain’, ‘Surviving AI’ and ‘The Economic Singularity’), on the brink of two singularities and accordingly need to plot a path to a future society that is ‘meaningful, sensible and communicable’. The first singularity we face is technological: Moore’s law stipulates that computing power doubles every two years at the same cost. If this holds then an artificial general intelligence (GI) will eventually arrive that surpasses the cognitive abilities of an ordinary human and then, shortly afterwards, that of all humans combined. Relatedly we face an economic singularity: such intelligent machines will take all the jobs that humans do - and we won’t be able to invent ones they can’t. Speaking to Seedcamp partner Carlos Espinal, Calum reflects on how we should react to the advance of AI to ensure the outcome we get is one which is positive for humankind. He argues that we will need need to decouple income from jobs, and will probably need a new economic system - but that the Universal Basic Income advocated by many futurists, tech CEOs and thinkers is insufficient. “We should be aiming for a world in which machines are so efficient and powerful we don't have to pay for anything,” he says. Calum is a regular speaker and writer on artificial intelligence and related technologies. Prior to his writing career, Calum had a 30-year career in business, in which he was a marketer, a strategy consultant and a CEO. He maintains his interest in business by running a small property business and serving as chairman and coach for growing companies. In 2000 he co-wrote The Internet Startup Bible, a business best-seller. He studied philosophy at the University of Oxford. Show notes: Carlos Medium: sdca.mp/2entVR3 Seedcamp: www.seedcamp.com Calum’s Blog: http://calumchace.wordpress.com Related bio links: Carlos: linkedin.com/in/carloseduardoespinal / twitter.com/cee Calum: linkedin.com/in/calum-chace-bb68168 / twitter.com/cccalum

We talk to Calum Chace. Calum is an author and speaker about artificial intelligence, and its likely future impact on society. His work is informed by the experience of a 30-year career in business. You can see some of his talks here. If you are new to the idea that machine consciousness and superintelligence may be with us soon (in decades rather than centuries), his novel Pandora's Brain and his non-fiction books Surviving AI and The Economic Singularity are great places to start. http://www.pandoras-brain.com/

We talk to Calum Chace. Calum is an author and speaker about artificial intelligence, and its likely future impact on society.  His work is informed by the experience of a 30-year career in business.  You can see some of his talks here. If you are new to the idea that machine consciousness and superintelligence may be with us soon (in decades rather than centuries), his novel Pandora's Brain and his non-fiction books Surviving AI and The Economic Singularity are great places to start. We talk to John Hubbs, CEO and Founder of Greymatter ;Alliance. John is a social entrepreneur. His job is empowering your world. John's Integrated Mission is to solve social, economic and environmental challenges through his portfolio of technical and social initiatives. His background as a highly focused and accomplished executive offers national and global B2B and B2C strategy and implementation expertise.

SPECIAL GUEST: Calum Chace (Surviving AI, The Economic Singularity). For his 4th appearance on the show, we talk with author Calum Chace about the future of AI, big data, machine learning, security, privacy, bad credit, and the joys of politics in the US and UK. With a side of media and Internet surfing. Recorded 10/16/2016. Show notes available at https://robotoverlordz.fm/show/435-ep00315-notes.

Author Calum Chace returns to discuss his new book, “The Economic Singularity: Artificial Intelligence and the Death of Capitalism” We discuss the likelihood of long-term technological unemployment and universal basic income, and whether the distribution challenges of our increasingly abundant economy require rethinking some of the basic elements of our current capitalist system. With something […]

SPECIAL GUEST: Calum Chace. Returning guest Calum Chace joins us to talk about his new book, The Economic Singularity, which really digs into the history, philosophy, and possible scenarios of TECHNOLOGICAL UNEMPLOYMENT. Tech Unemployment is the idea that as robots and AI take on more and more jobs, that eventually humans will have no option for legitimate work, at least under our current economic system. The Economic Singularity lays all of this out in incredible detail. Highly recommended read. Recorded 7/24/2016. Find out more at https://robotoverlordz.fm/show/404-ep00292-notes.