Avsnitt
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When we started this Podcast back in August 2022, we, Calum and David, announced the theme to be “Anticipating and managing exponential impact”. We talked about three sub-themes: Developing the skills of exponential foresight; Distinguishing between scenarios, whether they were plausible or implausible, and whether they were desirable or undesirable; and thirdly, Supporting the community of collaborative exponential foresight. 126 episodes later, as we reach the transition between 2025 and 2026, it’s a good time for the two of us to take stock.
Accordingly, in this episode, we each pick out a number of events from the last 12 months which we see as potential signals of larger exponential impact ahead.
Selected follow-ups:
An MIT report that 95% of AI pilots fail spooked investors - by Jeremy KahnThe Shape of AI: Jaggedness, Bottlenecks and Salients - by Ethan MollickThe Road To Superintelligence - by CalumAI Doomers, Accelerationists & Scouts - Digital DisruptionThe Economic Singularity - book by CalumHow can better foresight actually improve the world? - Webinar in the series "From forecasts to levers"Disrupting the first reported AI-orchestrated cyber espionage campaign - AnthropicMajor Neuromorphic Computing projects - listed by ConsciumWhy AI Agent Verification Is A Critical Industry - by CalumClimate change and populism: Grounds for optimism? - LFP episode with Matt BurgessWhat's Our Problem? - book by Tim UrbanOpenAI and Retro Biosciences achieve 50x increase in expressing stem cell reprogramming markersProgress at LEVF, December 2025 - by DavidUK BiobankThe THRIVE Act - Regenerative Medicine FoundationMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Almost every serious discussion about options to constrain the development of advanced AI results in someone raising the question: “But what about China?” The worry behind this question is that slowing down AI research and development in the US and Europe will allow China to race ahead.
It's true: the relationship between China and the rest of the world has many complications. That’s why we’re delighted that our guest in this episode is Kayla Blomquist, the Co-founder and Director of the Oxford China Policy Lab, or OCPL for short. OCPL describes itself as a global community of China and emerging technology researchers at Oxford, who produce policy-relevant research to navigate risks in the US-China relationship and beyond.
In parallel with her role at OCPL, Kayla is pursuing a DPhil at the Oxford Internet Institute. She is a recent fellow at the Centre for Governance of AI, and the lead researcher and contributing author to the Oxford China Briefing Book. She holds an MSc from the Oxford Internet Institute and a BA with Honours in International Relations, Public Policy, and Mandarin Chinese from the University of Denver. She also studied at Peking University and is professionally fluent in Mandarin.
Kayla previously worked as a diplomat in the U.S. Mission to China, where she specialized in the governance of emerging technologies, human rights, and improving the use of new technology within government services.
Selected follow-ups:
Kayla Blomquist - Personal siteOxford China Policy LabThe Oxford Internet Institute (OII)Google AI defeats human Go champion (Ke Jie)AI Safety Summit 2023 (Bletchley Park, UK)United Kingdom: Balancing Safety, Security, and Growth - OCPLChina wants to lead the world on AI regulation - report from APEC 2025China's WAICO proposal and the reordering of global AI governanceImpact of AI on cyber threat from now to 2027Options for the future of the global governance of AI - London Futurists WebinarA Tentative Draft of a Treaty - Online appendix to the book If Anyone Builds It, Everyone DiesAn International Agreement to Prevent the Premature Creation of Artificial SuperintelligenceMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Saknas det avsnitt?
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Our guest in this episode is Stephen Witt, an American journalist and author who writes about the people driving the technological revolutions. He is a regular contributor to The New Yorker, and is famous for deep-dive investigations.
Stephen's new book is "The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip", which has just won the 2025 Financial Times and Schroders Business Book of the Year Award. It is a definitive account of the rise of Nvidia, from its foundation in a Denny's restaurant in 1993 as a video game component manufacturer, to becoming the world's most valuable company, and the hardware provider for the current AI boom.
Stephen's previous book, “How Music Got Free”, is a history of music piracy and the MP3, and was also a finalist for the FT Business Book of the Year.
Selected follow-ups:
Stephen Witt - personal siteArticles by Stephen Witt on The New YorkerThe Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip - book siteStephen Witt wins FT and Schroders Business Book of the Year - Financial TimesNvidia ExecutivesBattle Royale (Japanese film) - IMDbThe Economic Singularity - book by Calum ChaceA Cubic Millimeter of a Human Brain Has Been Mapped in Spectacular Detail - NatureNotebookLM - by GoogleMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Our guest in this episode is Holly Elmore, who is the Founder and Executive Director of PauseAI US. The website pauseai-us.org starts with this headline: “Our proposal is simple: Don’t build powerful AI systems until we know how to keep them safe. Pause AI.”
But PauseAI isn’t just a talking shop. They’re probably best known for organising public protests. The UK group has demonstrated in Parliament Square in London, with Big Ben in the background, and also outside the offices of Google DeepMind. A group of 30 PauseAI protesters gathered outside the OpenAI headquarters in San Francisco. Other protests have taken place in New York, Portland, Ottawa, Sao Paulo, Berlin, Paris, Rome, Oslo, Stockholm, and Sydney, among other cities.
Previously, Holly was a researcher at the think tank Rethink Priorities in the area of Wild Animal Welfare. And before that, she studied evolutionary biology in Harvard’s Organismic and Evolutionary Biology department.
Selected follow-ups:
Holly Elmore - substackPauseAI USPauseAI - global siteWild Animal Suffering... and why it mattersHard problem of consciousness - WikipediaThe Unproven (And Unprovable) Case For Net Wild Animal Suffering. A Reply To Tomasik - by Michael PlantLeading Evolution Compassionately - Herbivorize PredatorsDavid Pearce (philosopher) - WikipediaThe AI industry is racing toward a precipice - Machine Intelligence Research Institute (MIRI)Nick Bostrom's new views regarding AI/AI safety - redditAI is poised to remake the world; Help us ensure it benefits all of us - Future of Life InstituteOn being wrong about AI - by Scott Aharonson, on his previous suggestion that it might take "a few thousand years" to reach superhuman AICalifornia Institute of Machine Consciousness - organisation founded by Joscha BachPausing AI is the only safe approach to digital sentience - article by Holly ElmoreCrossing the Chasm: Marketing and Selling High-Tech Products to Mainstream Customers - book by Geoffrey MooreMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Popular movies sometimes feature leagues of superheroes who are ready to defend the Earth against catastrophe. In this episode, we’re going to be discussing some real-life superheroes, as chronicled in the new book by our guest, Tom Ough. The book is entitled “The Anti-Catastrophe League: The Pioneers And Visionaries On A Quest To Save The World”. Some of these heroes are already reasonably well known, but others were new to David, and, he suspects, to many of the book’s readers.
Tom is a London-based journalist. Earlier in his career he worked in newspapers, mostly for the Telegraph, where he was a staff feature-writer and commissioning editor. He is currently a senior editor at UnHerd, where he commissions essays and occasionally writes them. Perhaps one reason why he writes so well is that he has a BA in English Language and Literature from Oxford University, where he was a Casberd scholar.
Selected follow-ups:
About Tom OughThe Anti-Catastrophe League - The book's webpageOn novel methods of pandemic preventionWhat is effective altruism? (EA)Sam Bankman-Fried - Wikipedia (also covers FTX)Open PhilanthropyConsciumHere Comes the Sun - book by Bill McKibbenThe 10 Best Beatles Songs (Based on Streams)Carrington Event - WikipediaMirror life - WikipediaFuture of Humanity Institute 2005-2024: final report - by Anders SandbergOxford FHI Global Catastrophic Risks - FHI Conference, 2008ForethoughtReview of Nick Bostrom’s Deep Utopia - by CalumDeepMind and OpenAI claim gold in International Mathematical OlympiadWhat the Heck is Hubble Tension?The Decade Ahead - by Leopold AschenbrennerAI 2027AnglofuturismMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Craig Kaplan has been thinking about superintelligence longer than most. He bought the URL superintelligence.com back in 2006, and many years before that, in the late 1980s, he co-authored a series of papers with one of the founding fathers of AI, Herbert Simon.
Craig started his career as a scientist with IBM, and later founded and ran a venture-backed company called PredictWallStreet that brought the wisdom of the crowd to Wall Street, and improved the performance of leading hedge funds. He sold that company in 2020, and now spends his time working out how to make the first superintelligence safe. As he puts it, he wants to reduce P(Doom) and increase P(Zoom).
Selected follow-ups:
iQ CompanySuperintelligence - by iQ CompanyHerbert A. Simon - WikipediaAmara’s Law and Its Place in the Future of Tech - Pohan LinThe Society of Mind - book by Marvin MinskyAI 'godfather' Geoffrey Hinton warns of dangers as he quits Google - BBC NewsStatement on AI Risk - Center for AI SafetyI’ve Spent My Life Measuring Risk. AI Rings Every One of My Alarm Bells - Paul Tudor JonesSecrets of Software Quality: 40 Innovations from IBM - book by Craig KaplanLondon Futurists Podcast episode featuring David BrinReason in human affairs - book by Herbert SimonUS and China will intervene to halt ‘suicide race’ of AGI – Max TegmarkIf Anybody Builds It, Everyone Dies - book by Eliezer Yudkowsky and Nate SoaresAGI-25 - conference in ReykjavikThe First Global Brain Workshop - Brussels 2001Center for Integrated CognitionPaul S. RosenbloomTatiana Shavrina, MetaHenry Minsky launches AI startup inspired by father’s MIT researchMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Many people expect improvements in technology over the next few years, but fewer people are optimistic about improvements in the economy. Especially in Europe, there’s a narrative that productivity has stalled, that the welfare state is over-stretched, and that the regions of the world where innovation will be rewarded are the US and China – although there are lots of disagreements about which of these two countries will gain the upper hand.
To discuss these topics, our guest in this episode is Carl Benedikt Frey, the Dieter Schwarz Associate Professor of AI & Work at the Oxford Internet Institute. Carl is also a Fellow at Mansfield College, University of Oxford, and is Director of the Future of Work Programme and Oxford Martin Citi Fellow at the Oxford Martin School.
Carl’s new book has the ominous title, “How Progress Ends”. The subtitle is “Technology, Innovation, and the Fate of Nations”. A central premise of the book is that our ability to think clearly about the possibilities for progress and stagnation today is enhanced by looking backward at the rise and fall of nations around the globe over the past thousand years. The book contains fascinating analyses of how countries at various times made significant progress, and at other times stagnated. The book also considers what we might deduce about the possible futures of different economies worldwide.
Selected follow-ups:
Professor Carl-Benedikt Frey - Oxford Martin SchoolHow Progress Ends: Technology, Innovation, and the Fate of Nations - Princeton University PressStop Acting Like This Is Normal - Ezra Klein ("Stop Funding Trump’s Takeover")OpenAI o3 Breakthrough High Score on ARC-AGI-PubA Human Amateur Beat a Top Go-Playing AI Using a Simple Trick - ViceThe future of employment: How susceptible are jobs to computerisation? - Carl Benedikt Frey and Michael A. OsborneEurope's Choice: Policies for Growth and Resilience - Alfred Kammer, IMFMIT Radiation Laboratory ("Rad Lab")Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
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Our guest in this episode is Noel Hurley. Noel is a highly experienced technology strategist with a long career at the cutting edge of computing. He spent two decade-long stints at Arm, the semiconductor company whose processor designs power hundreds of billions of devices worldwide.
Today, he’s a co-founder of Literal Labs, where he’s developing Tsetlin Machines. Named after Michael Tsetlin, a Soviet mathematician, these are a kind of machine learning model that are energy-efficient, flexible, and surprisingly effective at solving complex problems - without the opacity or computational overhead of large neural networks.
AI has long had two main camps, or tribes. One camp works with neural networks, including Large Language Models. Neural networks are brilliant at pattern matching, and can be compared to human instinct, or fast thinking, to use Daniel Kahneman´s terminology. Neural nets have been dominant since the first Big Bang in AI in 2012, when Geoff Hinton and others demonstrated the foundations for deep learning.
For decades before the 2012 Big Bang, the predominant form of AI was symbolic AI, also known as Good Old Fashioned AI. This can be compared to logical reasoning, or slow learning in Kahneman´s terminology.
Tsetlin Machines have characteristics of both neural networks and symbolic AI. They are rule-based learning systems built from simple automata, not from neurons or weights. But their learning mechanism is statistical and adaptive, more like machine learning than traditional symbolic AI.
Selected follow-ups:
Noel Hurley - Literal LabsA New Generation of Artificial Intelligence - Literal LabsMichael Tsetlin - WikipediaThinking, Fast and Slow - book by Daniel Kahneman54x faster, 52x less energy - MLPerf Inference metricsIntroducing the Model Context Protocol (MCP) - AnthropicPioneering Safe, Efficient AI - ConsciumSmartphones and Beyond - a personal history of Psion and SymbianThe Official History of Arm - ArmInterview with Sir Robin Saxby - IT ArchiveHow Spotify came to be worth billions - BBCMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Could the future see the emergence and adoption of a new field of engineering called nucleonics, in which the energy of nuclear fusion is accessed at relatively low temperatures, producing abundant clean safe energy? This kind of idea has been discussed since 1989, when the claims of cold fusion first received media attention. It is often assumed that the field quickly reached a dead-end, and that the only scientists who continue to study it are cranks. However, as we’ll hear in this episode, there may be good reasons to keep an open mind about a number of anomalous but promising results.
Our guest is Jonah Messinger, who is a Winton Scholar and Ph.D. student at the Cavendish Laboratory of Physics at the University of Cambridge. Jonah is also a Research Affiliate at MIT, a Senior Energy Analyst at the Breakthrough Institute, and previously he was a Visiting Scientist and ThinkSwiss Scholar at ETH Zürich. His work has appeared in research journals, on the John Oliver show, and in publications of Columbia University. He earned his Master’s in Energy and Bachelor’s in Physics from the University of Illinois at Urbana-Champaign, where he was named to its Senior 100 Honorary.
Selected follow-ups:
Jonah Messinger (The Breakthrough Institute)nucleonics.orgU.S. Department of Energy Announces $10 Million in Funding to Projects Studying Low-Energy Nuclear Reactions (ARPA-E)How Anomalous Science Breaks Through - by Jonah MessingerWolfgang Pauli (Wikiquote)Cold fusion: A case study for scientific behavior (Understanding Science)Calculated fusion rates in isotopic hydrogen molecules - by SE Koonin & M NauenbergKnown mechanisms that increase nuclear fusion rates in the solid state - by Florian Metzler et alIntroduction to superradiance (Cold Fusion Blog)Peter L. Hagelstein - Professor at MITModels for nuclear fusion in the solid state - by Peter Hagelstein et alRisk and Scientific Reputation: Lessons from Cold Fusion - by Huw PriceKatalin Karikó (Wikipedia)“Abundance” and Its Insights for Policymakers - by Hadley BrownIdentifying intellectual dark matter - by Florian Metzler and JonahC-Suite Perspectives
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This episode of London Futurists Podcast is a special joint production with the AI and You podcast which is hosted by Peter Scott. It features a three-way discussion, between Peter, Calum, and David, on the future of AI, with particular focus on AI agents, AI safety, and AI boycotts.
Peter Scott is a futurist, speaker, and technology expert helping people master technological disruption. After receiving a Master’s degree in Computer Science from Cambridge University, he went to California to work for NASA’s Jet Propulsion Laboratory. His weekly podcast, “Artificial Intelligence and You” tackles three questions: What is AI? Why will it affect you? How do you and your business survive and thrive through the AI Revolution?
Peter’s second book, also called “Artificial Intelligence and You,” was released in 2022. Peter works with schools to help them pivot their governance frameworks, curricula, and teaching methods to adapt to and leverage AI.
Selected follow-ups:
Artificial Intelligence and You (podcast)Making Sense of AI - Peter's personal websiteArtificial Intelligence and You (book)AI agent verification - ConsciumPreventing Zero-Click AI Threats: Insights from EchoLeak - TrendMicroFuture Crimes - book by Marc GoodmanHow TikTok Serves Up Sex and Drug Videos to Minors - Washington PostCOVID-19 vaccine misinformation and hesitancy - WikipediaCambridge Analytica - WikipediaInvisible Rulers - book by Renée DiResta2025 Northern Ireland riots (Ballymena) - WikipediaGoogle DeepMind Slammed by Protesters Over Broken AI Safety PromiseMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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The guest in this episode is Hugo Spowers. Hugo has led an adventurous life. In the 1970s and 80s he was an active member of the Dangerous Sports Club, which invented bungee jumping, inspired by an initiation ceremony in Vanuatu. Hugo skied down a black run in St.Moritz in formal dress, seated at a grand piano, and he broke his back, neck and hips when he misjudged the length of one of his bungee ropes.
Hugo is a petrol head, and done more than his fair share of car racing. But if he’ll excuse the pun, his driving passion was always the environment, and he is one of the world’s most persistent and dedicated pioneers of hydrogen cars.
He is co-founder and CEO of Riversimple, a 24 year-old pre-revenue startup, which have developed 5 generations of research vehicles. Hydrogen cars are powered by electric motors using electricity generated by fuel cells. Fuel cells are electrolysis in reverse. You put in hydrogen and oxygen, and what you get out is electricity and water.
There is a long-standing debate among energy experts about the role of hydrogen fuel cells in the energy mix, and Hugo is a persuasive advocate. Riversimple’s cars carry modest sized fuel cells complemented by supercapacitors, with motors for each of the four wheels. The cars are made of composites, not steel, because minimising weight is critical for fuel efficiency, pollution, and road safety. The cars are leased rather than sold, which enables a circular business model, involving higher initial investment per car, and no built-in obsolescence. The initial, market entry cars are designed as local run-arounds for households with two cars, which means the fuelling network can be built out gradually. And Hugo also has strong opinions about company governance.
Selected follow-ups:
Hugo Spowers - WikipediaRiversimpleMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Can we use AI to improve how we handle conflict? Or even to end the worst conflicts that are happening all around us? That’s the subject of the new book of our guest in this episode, Simon Horton. The book has the bold title “The End of Conflict: How AI will end war and help us get on better”.
Simon has a rich background, including being a stand-up comedian and a trapeze artist – which are, perhaps, two useful skills for dealing with acute conflict. He has taught negotiation and conflict resolution for 20 years, across 25 different countries, where his clients have included the British Army, the Saudi Space Agency, and Goldman Sachs. His previous books include “Change their minds” and “The leader’s guide to negotiation”.
Selected follow-ups:
Simon HortonThe End of Conflict - book websiteThe Better Angels of our Nature - book by Steven PinkerCrime in England and Wales: year ending March 2024 - UK Office of National StatisticsHow Martin McGuinness and Ian Paisley forged an unlikely friendship - Belfast TelegraphReview of Steven Pinker’s Enlightenment Now by Scott AaronsonA Detailed Critique of One Section of Steven Pinker’s Chapter “Existential Threats” by Philosophy TorresEnd Times: Elites, Counter-Elites, and the Path of Political Disintegration - book by Peter TurchinWhy do chimps kill each other? - ScienceUsing Artificial Intelligence in Peacemaking: The Libya Experience - Colin Irwin, University of LiverpoolRetrospective on the Oslo Accord - New York TimesRemeshPolis - Democracy TechnologiesWaves: Tech-Powered Democracy - DemosMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
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Our guest in this episode is Nate Soares, President of the Machine Intelligence Research Institute, or MIRI.
Nate Soares - MIRIYudkowsky and Soares Announce Major New Book: “If Anyone Builds It, Everyone Dies” - MIRIThe Bayesian model of probabilistic reasoningDuring safety testing, o1 broke out of its VM - RedditLeo Szilard - Physics WorldDavid Bowie - Five Years - Old Grey Whistle TestAmara's Law - IEEERobert Oppenheimer calculation of p(doom)JD Vance commenting on AI-2027SolidGoldMagikarp - LessWrongASMLChicago Pile-1 - WikipediaCastle Bravo - Wikipedia
MIRI was founded in 2000 as the Singularity Institute for Artificial Intelligence by Eliezer Yudkowsky, with support from a couple of internet entrepreneurs. Among other things, it ran a series of conferences called the Singularity Summit. In 2012, Peter Diamandis and Ray Kurzweil, acquired the Singularity Summit, including the Singularity brand, and the Institute was renamed as MIRI.
Nate joined MIRI in 2014 after working as a software engineer at Google, and since then he’s been a key figure in the AI safety community. In a blogpost at the time he joined MIRI he observed “I turn my skills towards saving the universe, because apparently nobody ever got around to teaching me modesty.”
MIRI has long had a fairly pessimistic stance on whether AI alignment is possible. In this episode, we’ll explore what drives that view—and whether there is any room for hope.
Selected follow-ups:Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
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Our guest in this episode is Henry Shevlin. Henry is the Associate Director of the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where he also co-directs the Kinds of Intelligence program and oversees educational initiatives.
He researches the potential for machines to possess consciousness, the ethical ramifications of such developments, and the broader implications for our understanding of intelligence.
In his 2024 paper, “Consciousness, Machines, and Moral Status,” Henry examines the recent rapid advancements in machine learning and the questions they raise about machine consciousness and moral status. He suggests that public attitudes towards artificial consciousness may change swiftly, as human-AI interactions become increasingly complex and intimate. He also warns that our tendency to anthropomorphise may lead to misplaced trust in and emotional attachment to AIs.
Note: this episode is co-hosted by David and Will Millership, the CEO of a non-profit called Prism (Partnership for Research Into Sentient Machines). Prism is seeded by Conscium, a startup where both Calum and David are involved, and which, among other things, is researching the possibility and implications of machine consciousness. Will and Calum will be releasing a new Prism podcast focusing entirely on Conscious AI, and the first few episodes will be in collaboration with the London Futurists Podcast.
Selected follow-ups:
PRISM podcastHenry Shevlin - personal siteKinds of Intelligence - Leverhulme Centre for the Future of IntelligenceConsciousness, Machines, and Moral Status - 2024 paper by Henry ShevlinApply rich psychological terms in AI with care - by Henry Shevlin and Marta HalinaWhat insects can tell us about the origins of consciousness - by Andrew Barron and Colin KleinConsciousness in Artificial Intelligence: Insights from the Science of Consciousness - By Patrick Butlin, Robert Long, et alAssociation for the Study of ConsciousnessOther researchers mentioned:
Blake LemoineThomas NagelNed BlockPeter SengeGalen StrawsonDavid ChalmersDavid BenatarThomas MetzingerBrian TomasikMurray ShanahanMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
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How can a binding international treaty be agreed and put into practice, when many parties are strongly tempted to break the rules of the agreement, for commercial or military advantage, and when cheating may be hard to detect? That’s the dilemma we’ll examine in this episode, concerning possible treaties to govern the development and deployment of advanced AI.
Our guest is Otto Barten, Director of the Existential Risk Observatory, which is based in the Netherlands but operates internationally. In November last year, Time magazine published an article by Otto, advocating what his organisation calls a Conditional AI Safety Treaty. In March this year, these ideas were expanded into a 34-page preprint which we’ll be discussing today, “International Agreements on AI Safety: Review and Recommendations for a Conditional AI Safety Treaty”.
Before co-founding the Existential Risk Observatory in 2021, Otto had roles as a sustainable energy engineer, data scientist, and entrepreneur. He has a BSc in Theoretical Physics from the University of Groningen and an MSc in Sustainable Energy Technology from Delft University of Technology.
Selected follow-ups:
Existential Risk ObservatoryThere Is a Solution to AI’s Existential Risk Problem - TimeInternational Agreements on AI Safety: Review and Recommendations for a Conditional AI Safety Treaty - Otto Barten and colleaguesThe Precipice: Existential Risk and the Future of Humanity - book by Toby OrdGrand futures and existential risk - Lecture by Anders Sandberg in London attended by OttoPauseAIStopAIResponsible Scaling Policies - METRMeta warns of 'worse' experience for European users - BBC NewsAccidental Nuclear War: a Timeline of Close Calls - FLIThe Vulnerable World Hypothesis - Nick BostromSemiconductor Manufacturing Optics - ZeissCalifornia Institute for Machine ConsciousnessTipping point for large-scale social change? Just 25 percent - Penn TodayMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
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In this episode, we return to the subject of existential risks, but with a focus on what actions can be taken to eliminate or reduce these risks.
Our guest is James Norris, who describes himself on his website as an existential safety advocate. The website lists four primary organizations which he leads: the International AI Governance Alliance, Upgradable, the Center for Existential Safety, and Survival Sanctuaries.
Previously, one of James' many successful initiatives was Effective Altruism Global, the international conference series for effective altruists. He also spent some time as the organizer of a kind of sibling organization to London Futurists, namely Bay Area Futurists. He graduated from the University of Texas at Austin with a triple major in psychology, sociology, and philosophy, as well as with minors in too many subjects to mention.
Selected follow-ups:
James Norris websiteUpgrade your life & legacy - UpgradableThe 7 Habits of Highly Effective People (Stephen Covey)Beneficial AI 2017 - Asilomar conference"...superintelligence in a few thousand days" - Sam Altman blogpostAmara's Law - DevIQThe Probability of Nuclear War (JFK estimate)AI Designs Chemical Weapons - The BatchThe Vulnerable World Hypothesis - Nick BostromWe Need To Build Trustworthy AI Systems To Monitor Other AI: Yoshua BengioInstrumental convergence - WikipediaNeanderthal extinction - WikipediaMatrioshka brain - WikipediaWill there be a 'WW3' before 2050? - Manifold prediction marketExistential Safety Action PledgeAn Urgent Call for Global AI Governance - IAIGA petitionBuild your survival sanctuaryOther people mentioned include:
Eliezer Yudkowsky, Roman Yampolskiy, Yan LeCun, Andrew NgMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
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Our subject in this episode may seem grim – it’s the potential extinction of the human species, either from a natural disaster, like a supervolcano or an asteroid, or from our own human activities, such as nuclear weapons, greenhouse gas emissions, engineered biopathogens, misaligned artificial intelligence, or high energy physics experiments causing a cataclysmic rupture in space and time.
These scenarios aren’t pleasant to contemplate, but there’s a school of thought that urges us to take them seriously – to think about the unthinkable, in the phrase coined in 1962 by pioneering futurist Herman Kahn. Over the last couple of decades, few people have been thinking about the unthinkable more carefully and systematically than our guest today, Sean ÓhÉigeartaigh. Sean is the author of a recent summary article from Cambridge University Press that we’ll be discussing, “Extinction of the human species: What could cause it and how likely is it to occur?”
Sean is presently based in Cambridge where he is a Programme Director at the Leverhulme Centre for the Future of Intelligence. Previously he was founding Executive Director of the Centre for the Study of Existential Risk, and before that, he managed research activities at the Future of Humanity Institute in Oxford.
Selected follow-ups:
Seán Ó hÉigeartaigh - Leverhulme Centre ProfileExtinction of the human species - by Sean ÓhÉigeartaighHerman Kahn - WikipediaMoral.me - by ConsciumClassifying global catastrophic risks - by Shahar Avin et alDefence in Depth Against Human Extinction - by Anders Sandberg et alThe Precipice - book by Toby OrdMeasuring AI Ability to Complete Long Tasks - by METRCold Takes - blog by Holden KarnofskyWhat Comes After the Paris AI Summit? - Article by SeanARC-AGI - by François CholletHenry Shevlin - Leverhulme Centre profileEleos (includes Rosie Campbell and Robert Long)NeurIPS talk by David ChalmersTrustworthy AI Systems To Monitor Other AI: Yoshua BengioThe Unilateralist’s Curse - by Nick Bostrom and Anders SandbergMusic: Spike Protein
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Our guest in this episode, Ramez Naam, is described on his website as “climate tech investor, clean energy advocate, and award-winning author”. But that hardly starts to convey the range of deep knowledge that Ramez brings to a wide variety of fields. It was his 2013 book, “The Infinite Resource: The Power of Ideas on a Finite Planet”, that first alerted David to the breadth of scope of his insight about future possibilities – both good possibilities and bad possibilities. He still vividly remembers its opening words, quoting Charles Dickens from “The Tale of Two Cities”:
Quote: “‘It was the best of times; it was the worst of times’ – the opening line of Charles Dickens’s 1859 masterpiece applies equally well to our present era. We live in unprecedented wealth and comfort, with capabilities undreamt of in previous ages. We live in a world facing unprecedented global risks—risks to our continued prosperity, to our survival, and to the health of our planet itself. We might think of our current situation as ‘A Tale of Two Earths’.” End quote.
12 years after the publication of “The Infinite Resource”, it seems that the Earth has become even better, but also even worse. Where does this leave the power of ideas? Or do we need more than ideas, as ominous storm clouds continue to gather on the horizon?
Selected follow-ups:
Ramez Naam - personal websiteThe Infinite Resource: The Power of Ideas on a Finite PlanetThe Nexus Trilogy (Nexus Crux Apex)Jesse Jenkins (Princeton)Six Degrees: Our Future on a Hotter Planet - book by Mark Lynas1991 eruption of Mount Pinatubo - WikipediaWe cool Earth, with reflective clouds - Make SunsetsDirect Air Capture (DAC) - WikipediaFrontier: An advance market commitment to accelerate carbon removalToward a Responsible Solar Geoengineering Research Program - by David KeithSouth Korea scales down plans for nuclear powerMicrosoft chooses infamous nuclear site for AI powerMachines of Loving Grace: How AI Could Transform the World for the Better - Essay by Dario AmodeiMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.Listen on: Apple Podcasts Spotify
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In this episode, our guest is Rebecca Finlay, the CEO at Partnership on AI (PAI). Rebecca previously joined us in Episode 62, back in October 2023, in what was the run-up to the Global AI Safety Summit in Bletchley Park in the UK. Times have moved on, and earlier this month, Rebecca and the Partnership on AI participated in the latest global summit in that same series, held this time in Paris. This summit, breaking with the previous naming, was called the Global AI Action Summit. We’ll be hearing from Rebecca how things have evolved since we last spoke – and what the future may hold.
Prior to joining Partnership on AI, Rebecca founded the AI & Society program at global research organization CIFAR, one of the first international, multistakeholder initiatives on the impact of AI in society. Rebecca’s insights have been featured in books and media including The Financial Times, The Guardian, Politico, and Nature Machine Intelligence. She is a Fellow of the American Association for the Advancement of Sciences and sits on advisory bodies in Canada, France, and the U.S.
Selected follow-ups:
Partnership on AIRebecca FinlayOur previous episode featuring RebeccaCIFAR (The Canadian Institute for Advanced Research)"It is more than time that we move from science fiction" - remarks by Anne BouverotInternational AI Safety Report 2025 - report from expert panel chaired by Yoshua BengioThe Inaugural Conference of the International Association for Safe and Ethical AI (IASEAI)A.I. Pioneer Yoshua Bengio Proposes a Safe Alternative Amid Agentic A.I. HypeUS and UK refuse to sign Paris summit declaration on ‘inclusive’ AICurrent AICollaborative event on AI accountabilityCERN for AIAI Summit Day 1: Harnessing AI for the Future of WorkThe Economic SingularityWhy is machine consciousness important? (Conscium)Brain, Mind & Consciousness (CIFAR)Music: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration
C-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.Listen on: Apple Podcasts Spotify
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The most highly anticipated development in AI this year is probably the expected arrival of AI agents, also referred to as “agentic AI”. We are told that AI agents have the potential to reshape how individuals and organizations interact with technology.
Our guest to help us explore this is Tom Davenport, Distinguished Professor in Information Technology and Management at Babson College, and a globally recognized thought leader in the areas of analytics, data science, and artificial intelligence. Tom has written, co-authored, or edited about twenty books, including "Competing on Analytics" and "The AI Advantage." He has worked extensively with leading organizations and has a unique perspective on the transformative impact of AI across industries. He has recently co-authored an article in the MIT Sloan Management Review, “Five Trends in AI and Data Science for 2025”, which included a section on AI agents – which is why we invited him to talk about the subject.
Selected follow-ups:
Tom Davenport - personal siteFive Trends in AI and Data Science for 2025 - MIT Sloan Management ReviewMichael Martin Hammer - WikipediaAI winter - WikipediaAI is coming for the OnlyFans chat industry - FortuneHow Gen AI and Analytical AI Differ — and When to Use Each - Harvard Business ReviewTruth Terminal - The AI Bot That Became a Crypto Millionaire - a16zJim Simons - WikipediaWhy The "Godfather of AI" Now Fears His Own Creation - Curt Jaimungal
interviews Geoffrey HintonAttention Is All You Need - Google researchers Apple suspends error-strewn AI generated news alerts - BBC NewsGen AI cuts costs by 30% - London Futurists Podcast episode featuring David Wakeling, partner at A&O ShearmanThe path to agentic automation is UiPath - UiPathMicrosoft CEO Predicts: "AI Agents Will Replace ALL Software" - AI Insights ExplorerNVIDIA CEO Jensen Huang Keynote at CES 2025 - NvidiaPioneering Safe, Efficient AI - ConsciumA New Survey Of Generative AI Shows Lots Of Work To Do - October 2023 article by Tom DavenportC-Suite Perspectives
Elevate how you lead with insight from today’s most influential executives.Listen on: Apple Podcasts Spotify
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