Podcasts about kenn cukier

The mantra from the mid-2000s that “data is the new oil” is taking on a new sheen: tapping and refining it into personalised advertisements has become harder, thanks to increasing regulation and the self-serving policies of the tech behemoths. Meanwhile artificial intelligence is a data-guzzler, eschewing the pointedly personal in favour of the revealing aggregate. Both trends raise thorny questions about ownership of the precious underlying resource.On this week's show, hosts Tom Lee-Devlin, Mike Bird and Alice Fulwood examine how data are gathered and traded, and Kenn Cukier, a deputy executive editor at The Economist, describe the changes in online tracking that altered those paths. Sir Martin Sorrell, chairman of S4 Capital, a digital-advertising firm, describes how his industry is shifting. And Dennis Cinelli, chief financial officer of Scale AI, a data startup, surveys the land-grab of data among artificial-intelligence firms.Sign up for our new weekly newsletter dissecting the big themes in markets, business and the economy at www.economist.com/moneytalks For full access to print, digital and audio editions, subscribe to The Economist at www.economist.com/podcastoffer Hosted on Acast. See acast.com/privacy for more information.

The mantra from the mid-2000s that “data is the new oil” is taking on a new sheen: tapping and refining it into personalised advertisements has become harder, thanks to increasing regulation and the self-serving policies of the tech behemoths. Meanwhile artificial intelligence is a data-guzzler, eschewing the pointedly personal in favour of the revealing aggregate. Both trends raise thorny questions about ownership of the precious underlying resource.On this week's show, hosts Tom Lee-Devlin, Mike Bird and Alice Fulwood examine how data are gathered and traded, and Kenn Cukier, a deputy executive editor at The Economist, describe the changes in online tracking that altered those paths. Sir Martin Sorrell, chairman of S4 Capital, a digital-advertising firm, describes how his industry is shifting. And Dennis Cinelli, chief financial officer of Scale AI, a data startup, surveys the land-grab of data among artificial-intelligence firms.Sign up for our new weekly newsletter dissecting the big themes in markets, business and the economy at www.economist.com/moneytalks For full access to print, digital and audio editions, subscribe to The Economist at www.economist.com/podcastoffer Hosted on Acast. See acast.com/privacy for more information.

On March 14th, OpenAI launched GPT-4 , which took the world by surprise and storm. Almost everybody, including people within the AI community, was stunned by its capabilities. A week later, the Future of Life Institute (FLI) published an open letter calling on the world's AI labs to pause the development of larger versions of GPT (generative pre-trained transformer) models until their safety can be ensured.Recent episodes of this podcast have presented arguments for and against this call for a moratorium. Jaan Tallin, one of the co-founders of FLI, made the case in favour. Pedro Domingos, an eminent AI researcher, and Kenn Cukier, a senior editor at The Economist, made variants of the case against. In this episode, co-hosts Calum Chace and David Wood highlight some key implications and give our own opinions. Expect some friendly disagreements along the way.Follow-up reading:https://futureoflife.org/open-letter/pause-giant-ai-experiments/https://www.metaculus.com/questions/3479/date-weakly-general-ai-is-publicly-known/Topics addressed in this episode include:*) Definitions of Artificial General Intelligence (AGI)*) Many analysts knowledgeable about AI have recently brought forward their estimates of when AGI will become a reality*) The case that AGI poses an existential risk to humanity*) The continued survival of the second smartest species on the planet depends entirely on the actions of the actual smartest species*) One species can cause another to become extinct, without that outcome being intended or planned*) Four different ways in which advanced AI could have terrible consequences for humanity: bugs in the implementation; the implementation being hacked (or jail broken); bugs in the design; and the design being hacked by emergent new motivations*) Near future AIs that still fall short of being AGI could have effects which, whilst not themselves existential, would plunge society into such a state of dysfunction and distraction that we are unable to prevent subsequent AGI-induced disaster*) Calum's "4 C's" categorisation of possible outcomes regarding AGI existential risks: Cease, Control, Catastrophe, and Consent*) 'Consent' means a superintelligence decides that we humans are fun, enjoyable, interesting, worthwhile, or simply unobjectionable, and consents to let us carry on as we are, or to help us, or to allow us to merge with it*) The 'Control' option arguably splits into "control while AI capabilities continue to proceed at full speed" and "control with the help of a temporary pause in the development of AI capabilities"*) Growing public support for stopping AI development - driven by a sense of outrage that the future of humanity is seemingly being decided by a small number of AI lab executives*) A comparison with how the 1983 film "The Day After" triggered a dramatic change in public opinion regarding the nuclear weapons arms race*) How much practical value could there be in a six-month pause? Or will the six-months be extended into an indefinite ban?*) Areas where there could be at least some progress: methods to validate the output of giant AI models, and choices of initial configurations that would make the 'Consent' scenario more likely*) Designs that might avoid the emergence of agency (convergent instrumental goals) within AI models as they acquire more intelligence*) Why 'Consent' might be the most likely outcome*) The longer a ban remains in place, the larger the risks of bad actors building AGIs*) Contemplating how to secure the best upsides - an "AI summer" - from advanced AIsMusic: 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

Google has teamed up with US-healthcare provider Ascension to access patient data without them being notified. What are the privacy concerns and implications for digital healthcare? And, how will 3D printing change the way we build everything from skyscrapers to spaceships. Also, Neil deGrasse Tyson, astrophysicist and author, speaks to Kenn Cukier about the future of science education and space exploration.Please subscribe to The Economist for full access to print, digital and audio editions:www.economist.com/radiooffer See acast.com/privacy for privacy and opt-out information.

Google has teamed up with US-healthcare provider Ascension to access patient data without them being notified. What are the privacy concerns and implications for digital healthcare? And, how will 3D printing change the way we build everything from skyscrapers to spaceships. Also, Neil deGrasse Tyson, astrophysicist and author, speaks to Kenn Cukier about the future of science education and space exploration.Please subscribe to The Economist for full access to print, digital and audio editions:www.economist.com/radiooffer See acast.com/privacy for privacy and opt-out information.

Flying taxis could soon become commonplace in cities if operators can overcome strict regulations on their use. Journalist Rebecca Fannin explores the future of technology giants in China. And, how can the sound of sand reveal its source? Kenn Cukier hostsextra music by Chris Zabriskie “Divider” (CC by 4.0 UK) See acast.com/privacy for privacy and opt-out information.

Flying taxis could soon become commonplace in cities if operators can overcome strict regulations on their use. Journalist Rebecca Fannin explores the future of technology giants in China. And, how can the sound of sand reveal its source? Kenn Cukier hostsextra music by Chris Zabriskie “Divider” (CC by 4.0 UK) See acast.com/privacy for privacy and opt-out information.

The business opportunities from small satellite technology are infinite: from an ‘ambulance’ which rescues malfunctioning spacecraft to devices that can measure the oil level in a tanker from space. Are we on the verge of making gene-editing technology safer? And, 50 years after man set foot on the moon, Oliver Morton, senior editor and author, predicts the future of humans’ relationship with lunar exploration. Kenn Cukier hosts See acast.com/privacy for privacy and opt-out information.

The business opportunities from small satellite technology are infinite: from an ‘ambulance’ which rescues malfunctioning spacecraft to devices that can measure the oil level in a tanker from space. Are we on the verge of making gene-editing technology safer? And, 50 years after man set foot on the moon, Oliver Morton, senior editor and author, predicts the future of humans’ relationship with lunar exploration. Kenn Cukier hosts See acast.com/privacy for privacy and opt-out information.

Kenn Cukier, the author of Big Data: A Revolution that Will Transform How We Work, Live and Think, explains how and why the big data revolution is undermining democracy. Learn more about your ad choices. Visit megaphone.fm/adchoices

A second quantum revolution is happening at the atomic level. What will it mean for the future of computers? Also: a new battery based on aluminium provides up to ten times the power. And why yellow taxis are much less likely to get into accidents. Kenn Cukier hosts. See acast.com/privacy for privacy and opt-out information.

A second quantum revolution is happening at the atomic level. What will it mean for the future of computers? Also: a new battery based on aluminium provides up to ten times the power. And why yellow taxis are much less likely to get into accidents. Kenn Cukier hosts. See acast.com/privacy for privacy and opt-out information.

Kenn Cukier, Senior Editor of Digital Products for The Economist, joins hosts Katherine Klein and Sandi Hunt to discuss his book "Big Data: A Revolution that Will Transform How We Work Live and Think" and the ways Big Data has and will continue to impact business, education, medicine, and society on Dollars and Change. See acast.com/privacy for privacy and opt-out information.