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Are we living in a simulation? Dr. Roman Yampolskiy explains how scientists run experiments inside simulations, why boxing AI may not hold, and what it would mean if AI breaks out of its safe environment, or if humanity escapes its own. Watch the full episode here: https://open.spotify.com/episode/2R7oKzVSOWTR5079TYrZsg?si=7fd6c78a016a4b67

What happens when millions of people hand their lives to AI agents, and nobody has built the rules of the road? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at agelessrx.com/beyond-tomorrow. MIT Media Lab professor Ramesh Raskar argues the real danger isn't the AI engine, it's agents with no governance. His case: decentralize AI so billions of people run their own agents, and build the licences, inspections and audit trails agents need, instead of trusting a few labs to make the engine safe. His P(doom) has fallen from 90% to under 10%. The conversation covers what an AI agent actually is, personal agents like Dot, Muse, Instinct and CC, the DRIVE framework for gradually trusting an agent, why there's no such thing as "zero-shot AGI," the OpenAI and Hugging Face incident, prompt injection, and the shift from an attention economy to an intention economy. One question runs through it all: can we get the benefits of AI agents without handing control to a handful of companies, or to the agents themselves? Ramesh's answer: don't just build better engines, build the roads, the rules and the governance. Key Takeaways An agent is an LLM in a loop with tools: the LLM is the engine, the agent is the car, the internet is the road. Build trust with DRIVE (Discover, Request, Instruct, Venture, Execute), and start with reversible tasks, no credit cards. Decentralized agents shrink the blast radius, which is why Ramesh's P(doom) has dropped sharply. Cost is the bottleneck: running an agent per user costs far more than serving a social media user, so expect revenue-share deals. Prompt injection is the top risk because LLMs can't separate commands from content. Agents need licences, inspection stickers and audit trails. About Ramesh Raskar Ramesh Raskar is a professor at the MIT Media Lab, where he works on decentralized AI and the Internet of Agents. His research focuses on how personal AI agents can be built so power stays distributed instead of concentrated in a few companies. ⏱ Timestamps 00:00  Intro 00:00 Why AI Is Moving So Fast: The Intelligence Economy 01:27 What Is an AI Agent, Really? 04:00 Ramesh's P(Doom) Update 05:46 Is Decentralized AI Safer Than Centralized AI? 09:54 How to Use Personal AI Agents (Dot, Muse, Instinct) 13:35 Will AI Agents Become the New Super App? 17:44 The Agentic Web Explained 20:14 Can Personal Superintelligence Exist? 25:17 A Model That Learns How to Learn Everything 29:19 AI Literacy: What to Do If You're Not Using AI 31:16 From OpenClaw to Muse 36:25 It's Not About Bigger Models, It's About Better Agents 37:51 Road Safety Rules for AI Agents 42:58 What a Safe Agentic World Looks Like 44:23 Surfing the Web With AI Agents 48:44 Voice, Screens or Taps? The Future of Agent Interfaces 50:05 Where Will AI Agents Be in One Year? 53:00 The Best Advice on Agent Autonomy 55:12 The Best Things AI Agents Can Do Today 57:12 Prompt Injection: The Command vs Content Problem 01:03:35 If Tomorrow was Your Last Day... Resources & Mentions Muse (Meta): https://muse.ai  Dots (OpenAI): https://siliconangle.com/2026/09/29/openai-launches-dots-always-on-ai-agents-in-chatgpt-with-their-own-cloud-computers/  OpenClaw: https://openclaw.ai  Hermes Agent (Nous Research): https://hermes-agent.nousresearch.com/docs/  Connect with Ramesh:  LinkedIn: https://www.linkedin.com/in/raskar    MIT Media Lab: https://www.media.mit.edu/people/raskar/overview/  Connect with Julian Instagram: @thebeyondtomorrowpodcast / @juliankissa LinkedIn: julian-issa X: @juliankissa Website: www.beyondtomorrowpodcast.com  Email: [email protected]  Watch the full episode on YouTube, or catch it on Spotify and Apple Podcasts. For more conversations from the edge of what's possible, sign up for updates here.

AI safety researcher Roman Yampolskiy breaks down his P(doom) estimate and why he believes artificial superintelligence could be a death sentence for humanity if development keeps moving this fast. His warning isn't anti-AI — it's a case for keeping AI as a tool we control, not a replacement for human judgment. Watch the full episode: https://open.spotify.com/episode/2R7oKzVSOWTR5079TYrZsg?si=302dfca33e9f4c04

Is "AI is dangerous" a warning, or the world's best marketing line? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at agelessrx.com/beyond-tomorrow. On this episode of Beyond Tomorrow, I sit down with Thore Graepel, co-creator of AlphaGo and former researcher at Google DeepMind. I asked him straight up how close we are to superintelligence, and his answer surprised me: there won't be a single moment we can point to, and he argues human organizations like companies already count as a form of superintelligence. We get into why he thinks "AI will destroy humanity" is the biggest myth in the field, the near-term risks he does take seriously, and why I pushed him on the incentives behind the AI safety messaging coming from the labs. From there we go deep on his core technical argument: that today's transformers are black boxes that mix knowledge and reasoning in the same weights, and that scaling alone will never make them trustworthy. He lays out a different approach built on explicit beliefs, hypotheses and evidence, and I found it one of the clearest explanations of AI transparency I've heard. In the back half, we talk about his time at Altos Labs, why biology is a reality check for the "cure all disease in 10 years" claims, and his cell annealing theory of rejuvenation. Key Takeaways Thore sees AI progress as a "jagged frontier," not a single superintelligence moment, and by his own definition, AGI is already here He argues companies and institutions are already a form of superintelligence His P(doom) is very low: extraordinary claims require extraordinary evidence, and he doesn't see it About Thore Graepel Thore Graepel is a computer scientist and AI researcher who recently left Google DeepMind, where he was a co-creator of AlphaGo and worked on multi-agent systems, reasoning and consciousness research. He has also spent time at Altos Labs, applying his machine learning and physics background to cellular rejuvenation, and writes about AI, reasoning and safety on Substack. ⏱ Timestamps 00:00  Intro 00:06 How Close Are We to Superintelligence? 01:42 Are Human Organizations Already Superintelligent? 02:56 Is Anyone Trying to Destroy Humanity? 04:45 Near-Term Risks: Jobs and the Economy 08:08 Why the Transition Will Be Hard 10:06 Post-AGI Planning and the Case for Positive Futures 14:35 Capability vs. Diffusion: The Train Driver Problem 16:46 Optimization vs. Game Theory 18:53 The Incentives Behind AI Safety Messaging 22:26 What Is Thore's P(doom)? 23:25 Why Transformers Are Black Boxes 29:19 How Do We Build Safer, More Transparent AI? 33:01 Separating Knowledge From Reasoning 37:39 Safety vs. Capability and the Trust Ceiling 39:45 Narrow AI vs. General AI 44:02 Do You Believe in God? 47:15 Consciousness and Whether LLMs Are Alive 51:08 AlphaGo and Move 37 58:29 Credit Assignment and Moral Reasoning 01:04:31 Who Sets the Moral Guardrails? 01:09:37 The AGI Race: US vs. China 01:11:53 Longevity and Altos Labs 01:16:01 The Biology Reality Check 01:23:04 Pockets of Computability and AlphaFold 01:26:05 Yamanaka Factors and Cell Annealing 01:35:51 Will the Singularity Happen in Your Lifetime? 01:36:49 Rapid Fire Questions with Thore 01:41:35 Thore's Best Piece of Advice Resources & Mentions AlphaGo and AlphaFold (Google DeepMind) Thinking, Fast and Slow by Daniel Kahneman Altos Labs Stephen Wolfram's "pockets of computability" David Deutsch on simulation and the limits of experiment Thore's Substack  Connect with Thore:  Github: https://thoregraepel.github.io/  LinkedIn: https://uk.linkedin.com/in/thoregraepel  X: https://x.com/ThoreG  Connect with Julian Instagram: @thebeyondtomorrowpodcast / @juliankissa LinkedIn: julian-issa X: @juliankissa Website: www.beyondtomorrowpodcast.com  Email: [email protected]

What if vanity was actually the smart way into a longer, healthier life? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. Their mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at agelessrx.com/beyond-tomorrow. On this episode of Beyond Tomorrow, Dr. Mike Israetel breaks down what's actually happening in his own bloodstream: 5mg/week of tirzepatide year-round, plus retatrutide during fat-loss phases, and why he thinks “GLP-2” is a gray-market marketing term with no basis in real receptor biology. He walks through the non-weight-loss case for these drugs, reduced systemic and neural inflammation, better glucose control, emerging anti-cancer data, and a documented drop in addictive behaviors from gambling to alcohol to cigarettes, before getting honest about the tradeoffs: undernutrition, anhedonia, and a long-term data set that, by his own admission, will never be “complete enough” for some critics. From there the conversation moves into gray-market peptides, why Mike separates his own risk tolerance from what he'd recommend to the public, and why there currently isn't a single peptide he'd recommend for muscle growth despite the demand. The back half covers his real thesis: that appearance, not health, is the most reliable motivator most people actually respond to and that chasing it tends to produce the same outcomes doctors have failed for decades to sell through fear. Key Takeaways Mike takes tirzepatide (Zepbound/Mounjaro) year-round at 5mg/week and adds retatrutide during cutting phases, both well within studied dose ranges He argues most GLP-1 “anhedonia” is caloric-deficit anhedonia, not a direct drug effect, the same thing bodybuilders experience on any aggressive diet New aggregate mortality data shows older adults on GLP-1s die less than those who aren't, which he says partially answers the “but will it kill you later” question There is currently no peptide he'd recommend for muscle growth, a claim he says consistently disappoints people who ask His core argument: use appearance as the entry point (build muscle, lose fat, sleep better) and let the longevity benefits follow, rather than trying to motivate people with 30-years-out health outcomes Timestamps 00:00 Intro 00:10 Is GLP-1 a Bad Idea? 08:55 The Seatbelt Analogy for Drugs 10:30 The Peptide That's Not FDA-Approved Yet 11:30 Exactly What Mike Takes Every Week 13:59 Stacking Peptides: an N-of-1 Experiment 15:11 Why Mike Takes Anabolic Steroids 16:42 The Drug That Could Replace Steroids 18:48 Why Mike Takes Tirzepatide and Retatrutide 21:45 20-Year Life Extension 25:34 Mike's Full Daily Stack 30:47 The Looksmaxxing Trojan Horse 35:35 Sick Care vs. Health Care 38:14 Three Exercises You Can Do Today 40:36 Critiquing Brian Johnson's Protocol 43:31 Is There a One-Size-Fits-All Workout? 46:06 Zone 2 vs. Zone 5 Training 52:21 Why Most Biohacking Is a Waste of Money 54:01 Is HIIT Still the Rage? 57:09 Escaping Poverty, Fueling Success 01:04:53 Why People Take Extreme Measures to Look Good 01:08:24 Moving Past GLP-1 01:14:52 Everyone Will Look 22 by 2037 01:18:24 Would You Date a 90-Year-Old? 01:24:52 Beauty Standards in a Post-GLP-1 World 01:25:37 The Cybernetic Revolution 01:28:25 Living Forever in a Robot Body 01:36:29 Will AI Cause Human Extinction? 01:43:28 The Biggest Myth About Weight Loss 01:44:02 Rapid Fire Questions with Mike 01:48:06 Mike's Best Piece of Advice Connect with Mike: Website: rpstrength.com/ Facebook: facebook.com/michael.israetel Instagram: @drmikeisraetel X: @misraetel Connect with Julian Instagram: @thebeyondtomorrowpodcast / @juliankissa LinkedIn: julian-issa X: @juliankissa Website: www.beyondtomorrowpodcast.com Email: [email protected]

What happens when the technology we build becomes smarter than the people who built it? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at http://agelessrx.com/beyond-tomorrow AI safety researcher Roman Yampolskiy argues the real danger isn't AI, it's building a superintelligence we can no longer control. His case: solve problems with narrow, powerful tools instead, and still get breakthroughs in medicine, science, and productivity, without that risk. The conversation covers AGI, recursive self-improvement, the singularity, and the existential and "suffering" risks they raise, plus what mass automation could mean for work and purpose. From international AI agreements to human longevity, one question runs through it all: can we get the benefits of advanced AI without losing control of it? Yampolskiy's answer: keep building tools, not our replacement. Roman Yampolskiy is an AI safety researcher and professor who studies the risks and implications of artificial intelligence. His work focuses on the challenge of controlling increasingly capable AI systems and the potential consequences of superintelligence. Roman’s book, AI: Unexplainable, Unpredictable, Uncontrollable, explores the various reasons why the field is so challenging. ⏱ Timestamps 00:00 Intro 00:43 Can We Build AI By Design to Avoid Catastrophe? 01:49 AI Superintelligence Is a Death Sentence 03:12 What Is AGI, Really? 04:26 OpenAI's Plan to Build an Internal AGI 04:59 Why Superintelligence Won't Care About Us 06:45 We're Going to Die Anyway... So What? 07:06 We Can't Control Something This Advanced 07:55 The Narrow Tools That Avoid AGI 09:34 The US vs China AI Race 10:47 Does China Actually Want to Stop AGI? 11:53 AGI Is a Spectrum, Not a Switch 12:22 Is Roman Selling the Doom Narrative? 14:13 How to Stop AGI From Escaping the Box 16:26 Building AI We Can't Control 18:05 Suffering Risks: The Worst-Case Scenario 20:09 The Two Types of Jobs 22:09 What Happens to the 90% Who Lose Their Jobs? 23:46 Nothing Makes AI Labs Stop 24:26 Building Something You Can't Control 26:06 Do You Believe in God? 29:28 Longevity Escape Velocity Without AGI 30:55 Is Suffering Necessary for the Human Story? 31:33 Are We Living in a Simulation? 32:12 You Can't Control Superintelligence 33:24 Is Our Life a Simulation? 35:05 Curing Aging With Narrow AI Tools 36:10 What Is an NPC? 36:37 Could Humans Cause Doom Before AI Does? 37:21 How to Break Out of a Simulation 39:14 Would You Live Forever in a Simulation? 40:01 Don't Build Superintelligence 41:50 Bostrom's Singleton Theory 43:17 "AI Is Massively Overhyped" 44:56 Would AI Doom Be Worse Than World War 3? 45:41 Who Should You Actually Be Listening To? 47:43 What Would a Perfect Simulation Look Like? 50:52 Solving Longevity Without AI 52:03 Our Limited Understanding of Human Biology 52:40 What Makes Roman Happy? 53:48 Signs Governments Are Waking Up 55:14 "Is AI Just a Con?" 56:53 Can Squirrels Control Humans? 58:27 Decide What to Do With Your Time 59:22 What About Ilya Sutskever? 01:00:13 The Responsible Use of Technology 01:00:46 If Tomorrow is Your Last Day... Connect with Roman:  Website: https://www.romanyampolskiy.com/  Facebook: https://www.facebook.com/roman.yampolskiy/  LinkedIn: https://www.linkedin.com/in/romanyam/  X: https://x.com/romanyam  Connect with Julian Instagram: https://www.instagram.com/thebeyondtomorrowpodcast/   Instagram: https://www.instagram.com/juliankissa/   LinkedIn: https://uk.linkedin.com/in/julian-issa   Website: www.beyondtomorrowpodcast.com  Email: [email protected]  Get exciting updates from The Beyond Tomorrow Podcast here: https://dlogos.xyz/podcasts/the-beyond-tomorrow-podcast-with-julian-issa-7bf16e9d

Let's get into the rapidly evolving future of longevity, from the moment society finally believes aging is solvable to the possibility of humans routinely living far beyond today’s lifespan — even approaching 150 years. Matt Kaeberlein, Aubrey de Grey, and Gordan Lauc explore how breakthroughs in aging science could also extend the lives of companion animals, while exposing how bad science and misallocated resources continue to slow meaningful progress. It’s a grounded, forward-looking discussion on what true longevity innovation requires. Watch the full episode here: https://open.spotify.com/episode/1Rmtl7sqoFOWolXWV6O22U?si=cd176f6a28404b4d

Could an AI actually run the country better than a person could? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at http://agelessrx.com/beyond-tomorrow David Eagleman doesn't shy away from the question. He lays out the case for an AI president, one that could crunch more data than any human cabinet, sidestep the ego and grudges that shape so many political decisions, and maybe even out-think our worst instincts. Sounds great, until you ask the harder questions. Who writes the code that decides what "the greater good" means? Can a machine actually be moral, or just really good at faking it? And if an AI ever did hold real power, who's holding the leash? We get into all of it: democracy, tribalism, consciousness, and how close we actually are to AGI. David doesn't pretend to have it all figured out but he makes a compelling case that the ground is shifting faster than most of us realize. David Eagleman is a neuroscientist at Stanford University and an internationally bestselling author. He is co-founder of several neurotech companies, including Jojo, BrainCheck, and Neosensory, and he also directs the Center for Science and Law, a national non-profit institute. He is best known for his work on sensory substitution, time perception, brain plasticity, synesthesia, and neurolaw. ⏱ Timestamps 00:00 Intro 00:05 Are We in the Middle of AGI? 03:26 AI’s Greatest Advantage 04:25 The Case for a Utilitarian AI President 07:16 Who Defines AI’s Parameters? 09:06 The Danger of Politically Biased AI 11:49 Behind the Scenes 12:33 Are We Ready for an AI President? 14:41 What Should an AI Government Optimize For? 18:31 How Soon Could We Have an AI President? 22:24 The Trolley Problem and AI Morality 27:54 What Happens When Humans Have Too Much Free Time? 29:07 The Neuroscience of Tribalism 30:13 The Neural Basis of Empathy 31:24 Why We’re Wired for Us vs. Them 32:43 Can AI Become Conscious? 33:51 Could AI Eradicate Humanity? 35:51 Artificial Wisdom and AI Guardrails 38:57 AGI Is Already Happening 41:22 An AI President in Our Lifetime 43:26 The Biggest Fear About AI Connect with David:  Website: https://eagleman.com/  Facebook: https://www.facebook.com/David.M.Eagleman  LinkedIn: https://www.linkedin.com/in/davideagleman/  Instagram: https://www.instagram.com/davideagleman  X: https://x.com/davideagleman  TikTok: https://www.tiktok.com/@drdavideagleman   Connect with Julian Instagram: https://www.instagram.com/thebeyondtomorrowpodcast/   Instagram: https://www.instagram.com/juliankissa/   LinkedIn: https://uk.linkedin.com/in/julian-issa   Website: www.beyondtomorrowpodcast.com  Email: [email protected]  Subscribe on Spotify, Apple, and YouTube for more stories from the edge of what is possible.

What if immortality didn’t arrive as a single breakthrough but quietly, step by step?In this clip, George Church explains the idea of “longevity escape velocity”: the point where medical progress extends life faster than we age. If each generation of therapies buys us more time to develop the next, the path to dramatically longer lives or even practical immortality may already have begun.Watch the full episode here: https://open.spotify.com/episode/0c2x5fNYLSzvvfIil3c7WK?si=854bb724225e4136

What if the Singularity isn’t coming but already here? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at http://agelessrx.com/beyond-tomorrow AI is accelerating breakthroughs across science, medicine, and technology at a pace once considered impossible. Peter Diamandis believes the next 5–10 years could redefine what humanity can achieve. Yet AI’s promise is competing with fear, disruption, and dystopian narratives. The challenge is not only building the future, but shaping how people imagine it. For Peter Diamandis, the answer is actionable optimism: identify the risks, believe they can be solved, and pursue the biggest moonshots. Longevity, education, and space could become the foundations of a radically different future. Peter Diamandis is an entrepreneur, physician, and founder of XPRIZE and Singularity University. He is a leading advocate for moonshot thinking and breakthrough technologies. ⏱ Timestamps 00:00 Intro 00:10 The Blinding Speed of Change 02:06 A Future Where Anything Is Possible 04:06 Why Is the West Afraid of AI? 08:39 Why Fear AI? 10:23 AGI Is Already Here 11:37 Blind Optimism vs. Actionable Optimism 13:01 The Next Great Moonshot 14:01 The Rise of an Alien-Looking Economy 15:10 Who Will Win the XPRIZE? 15:46 If Tomorrow Was Your Last Day... Connect with Peter:  Website: https://www.diamandis.com/  Facebook: https://www.facebook.com/PeterDiamandis/ LinkedIn: https://www.linkedin.com/in/peterdiamandis/ Instagram: https://www.instagram.com/peterdiamandis X: https://x.com/peterdiamandis YouTube: https://www.youtube.com/@peterdiamandis  Connect with Julian Instagram: https://www.instagram.com/thebeyondtomorrowpodcast/   Instagram: https://www.instagram.com/juliankissa/   LinkedIn: https://uk.linkedin.com/in/julian-issa   Website: www.beyondtomorrowpodcast.com  Email: [email protected]  Subscribe on Spotify, Apple, and YouTube for more stories from the edge of what is possible.

Are large language models like ChatGPT and Claude enough to create AGI?In this clip, Ben Goertzel explains why today’s LLMs are incredibly powerful, but still fundamentally different from true artificial general intelligence.He argues that simply building a bigger version of ChatGPT or Claude is unlikely to produce human-level AGI. Instead, reaching AGI will require new AI architectures that can go beyond their training, generalize to unfamiliar problems and make genuinely novel leaps in reasoning.Ben also explains why current models can already outperform humans in areas like coding, mathematics and knowledge retrieval, while still struggling with the kind of imagination and general intelligence humans use to push beyond existing knowledge. Full episode here: https://open.spotify.com/episode/7wGN1x0vQQgdzoktHipqBK?si=454702357d55415e

How close are we to AGI? This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at http://agelessrx.com/beyond-tomorrow The race toward AGI is entering a new phase. Ben Goertzel explores alternative paths to intelligence beyond simply building bigger models. The conversation also examines the global AI race. The U.S. and China are competing for technological leadership. But the future of AI may not remain centralized. Then comes the bigger question: what happens after superintelligence? Goertzel imagines AI that could protect humanity. It could even help overcome aging, disease, and other human limitations. Ben Goertzel is an AI researcher, futurist, and CEO of SingularityNET and BGI Labs. Widely recognized as one of the pioneers of Artificial General Intelligence, he has spent more than two decades developing decentralized AI systems designed to benefit humanity. What You’ll Learn Why the AI revolution may be bigger than previous technological shifts How AI could become an extension of human intelligence Why agency may matter more than machine consciousness How the brain creates a simulated model of reality Whether consciousness could emerge on different substrates Why AI alignment is also a problem of human alignment How AI could help humanity become smarter and more coherent ⏱ Timestamps 00:00 Intro 00:07 What Happens in the Next 12 Months? 03:41 Why China Is Catching Up 07:36 Why China Wants AI Control 10:18 Can Governments Control AI? 13:02 Human-Level AGI vs Superintelligence 15:35 Will ASI be Chinese or American? 17:47 The Next Breakthrough to AGI 21:05 How AI Could Become More Intelligent 22:23 Why Language Powers AI 27:33 Can Decentralized AI Change Everything? 32:23 The Global Race vs Decentralized AI 36:22 Would Superintelligence Protect Humanity? 40:19 Can We Build Compassionate AGI? 46:27 Why AI Arms Races Are Dangerous 51:14 Why Governments Shouldn’t Control AI 53:17 Can the Government Keep Up With AI? 54:00 Will Open AI Challenge Big Tech? 55:12 The Future of Decentralized AI 56:27 Could 2045 Arrive by 2028? Connect with Ben Website: https://singularitynet.io/  LinkedIn: https://www.linkedin.com/in/bengoertzel  X: https://x.com/bengoertzel  Connect with Julian Instagram: https://www.instagram.com/thebeyondtomorrowpodcast/   Instagram: https://www.instagram.com/juliankissa/   LinkedIn: https://uk.linkedin.com/in/julian-issa   Website: www.beyondtomorrowpodcast.com  Email: [email protected]  Subscribe on Spotify, Apple, and YouTube for more stories from the edge of what is possible.

Ramesh Raskar explains how artificial intelligence is evolving and why the coming phase may be critical for its long-term impact on society. He discusses the role of economic systems in guiding responsible innovation and the importance of moving from simply using AI tools to actively participating in their development and governance. Watch the full episode here: https://open.spotify.com/episode/5zyaecyejQCgbCQ2t2uTt5?si=faf738a4f4ea4a9d

What if we could add 20 healthy years to human life?  This episode is brought to you by AgelessRx, where aging becomes a puzzle that can be solved. The mission is to help you live longer and healthier by adding more life to your years through science-backed solutions and personalized care. Learn more at https://agelessrx.com/.   That’s the ambitious challenge behind the XPRIZE Healthspan competition, where 20 finalist teams are racing to find breakthroughs that could fundamentally change how we age. Driven by the moonshot vision championed by Peter Diamandis, the goal isn’t simply to live longer, it’s to preserve muscle, cognitive, and immune function as we get older. In this episode, Jamie Justice takes us on a journey to better understand the XPRIZE competition as we take a closer look at Minicircle (Walter Patterson), Longeveron (Brian Rash), NYC Vita (Miriam Merad), Mitochondrial All Stars (David Brown), AgelessRx (Stefanie Morgan and Anar Isman), Ani.Ai (Bruno Balen), and Goqii (Vishal Gondal), exploring their very different approaches to extending healthy lifespan. From gene therapies and mitochondrial interventions to stem cells, AI-powered discoveries, and personalized health solutions, these teams are pushing longevity science into fascinating and largely uncharted territory. Dr. Jamie Justice is a geroscience researcher and Executive Vice President of Health at XPRIZE, where she leads the organization’s efforts to accelerate breakthroughs in healthy aging. ⏱ Timestamps 00:00 Intro 00:10 What Is the XPRIZE Competition? 04:09 Why XPRIZE Isn’t a Traditional Funding Program 05:37 The XPRIZE’s Approach to Innovation 08:27 Peter Diamandis on the XPRIZE Winner 08:54 Why the Moonshot Has to Be Daring 10:31 What Makes a Breakthrough Solution? 12:44 The Different XPRIZE Categories 13:54 Can More Teams Still Join? 15:24 Clinical Trials Must Finish by 2029 18:24 The Rise of AI Based Interventions 19:11 Unexpected Approaches to Healthspan 22:07 Minicircle: The Non Viral Plasmid DNA Vector Minicircle 24:53 Why Minicircle’s Gene Therapy Approach Is Different 25:42 A Simpler Gene Therapy Platform 26:29 Why Plasmid Gene Therapy May Be Safer 28:57 The Challenges of Gene Therapy 30:39 Pushback Against Gene Therapy 33:04 The Future of Gene Therapy 34:18 How Teams Are Adapting 36:17 What It Takes to Reach the 20 Year Goal 37:17 No More New Teams in 2028 38:27 Why Some European Teams Are Struggling 40:56 Could Teams Merge to Move Forward? 42:07 Inside the Biologic Category Longeveron 42:39 The Next Generation of Biologic Therapies 46:50 What Makes This Team Unique? 47:48 Engineering New Biologic Therapies 53:56 Building a Super Team for Healthspan Featured Team: Mitochondrial All Stars 57:28 The Role of Mitochondria in Aging 59:27 Specializing in Mitochondrial Health 01:00:48 The Power of a Multi Modal Team NYC Vita 01:03:11 Combining Different Approaches to Aging 01:06:37 Sharing Data Across Teams 01:08:50 Why Collaboration Could Change the Game 01:13:33 A Novel Drug Target for Aging AgelessRX 01:14:59 A Strategic Approach to Intervention 01:15:52 Can We Achieve 20 Years of Rejuvenation? 01:17:18 The Chemical Combination 01:22:12 The Science Behind the Approach 01:22:46 The Potential of NAD+ 01:23:58 Why Japanese Teams Stand Out 01:26:18 The $100 Million Incentive 01:28:10 Inside the Drug Category 01:31:57 Can We Add Healthy Life in One Year? Ani.Ai  01:32:49 Healthy Life in Just One Year 01:33:22 The Antibiome Approach 01:36:52 What the Future of Healthspan Could Look Like 01:38:37 The Best Piece of Advice Connect with Jamie Website: https://www.xprize.org/  Instagram: https://www.instagram.com/j.n.justice/  LinkedIn: https://www.linkedin.com/in/jamie-justice-ph-d-6b933146  X: https://x.com/j_n_justice   The Teams: Minicircle: https://minicircle.io/ Longeveron: https://longeveron.com/  NYC Vita: https://www.mountsinai.org/  AgelessRX: https://agelessrx.com/  Ani.Ai: https://www.ani.ai/  Goqii: https://goqii.com/us-en

Is democracy already becoming obsolete in the age of AI? Emad Mostaque, founder of Intelligent Internet, shares why he believes the status quo is over, why democracy as we know it cannot survive the rise of superintelligent AI, and why the race for AGI could determine who controls the future of humanity. In this clip, Emad explains why AI may eventually replace human decision-making, how power is becoming concentrated in the hands of a few AI companies, and why governments must rethink ownership, governance, and the role of AI before it's too late. Watch the full episode here: https://open.spotify.com/episode/6oqWQWDYX90uQUmZ5hcB4Q?si=2ada02e898e44ea6