Couverture de The Beyond Tomorrow Podcast with Julian Issa

The Beyond Tomorrow Podcast with Julian Issa

The Beyond Tomorrow Podcast with Julian Issa

De : Julian Issa
Écouter gratuitement

Offres de saison | 0,99 € par mois pendant les 3 premiers mois

5,99 €/mois par la suite. Des conditions s’appliquent. Annulation mensuelle possible.
The future feels exciting but a little scary. We're here to help guide you through it. How? 1. Building stronger, more abundant mindsets. 2. Shining a spotlight on the technologies of tomorrow. 3. Identifying the latest longevity & health protocols. Health, longevity, human potential and AI. It's great to have you here. JulianJulian Issa Science
Épisodes
  • 4 Longevity Legends Debate Each Other About Human Flourishing

    4 Longevity Legends Debate Each Other About Human Flourishing
    Oct 15 2026
    What if the fastest way to a longer life isn't a miracle drug, but a wartime mentality against aging?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.Curious about quantum energy wellness? Check out Leela Quantum Tech. Check out https://leelaq.com/ On this episode of Beyond Tomorrow, four heavyweights of the longevity field take a rapid-fire statement format and turn it into a real debate. Aubrey de Grey, Alex Zhavoronkov (Insilico Medicine), George Church (Harvard Medical School), Michael Ringel (Life Biosciences) argue over whether hype helps or hurts the field, and when longevity escape velocity, the point where damage is repaired faster than it accumulates, might actually arrive. Aubrey puts it at a 50/50 chance within 12 to 15 years. Alex says 20 to 50 years and doubts drugs alone can get there. Michael pushes back on the idea of infinite lifespans entirely, while George suggests we may already be gaining years without the evidence to prove it.From there the panel digs into the FDA's new interest in aging, why the TAME metformin trial never opened the floodgates, and whether AI will really shrink clinical timelines. George cites a gene therapy that reached a patient in seven months, while Alex, running many programs, argues that biology still moves at the speed of traffic. The back half covers biohacking and early adopters, the gap between everyday "longevity" and longevity biotechnology, the science of epigenetic reprogramming, what could happen by the XPRIZE Healthspan deadline in 2030, and what each panelist thinks the "ChatGPT moment" for longevity will look like.About the PanelistsAubrey de Grey has spent his entire career in the nonprofit sector, coined the term longevity escape velocity, and has been signed up with Alcor for cryonic preservation since 2002. Alex Zhavoronkov is the founder and CEO of Insilico Medicine, a public biotech company with a large pipeline of drug programs that uses AI to compress early discovery work. George Church is a Harvard Medical School geneticist and an optimist on gene therapy and exponential technologies, who argues that regulators embrace new technology and that trial parallelism could dramatically cut development time.Michael Ringel left a career at BCG to join Life Biosciences as chief operating officer, where he works on epigenetic restoration as a path to treating age-related disease and, ultimately, aging itself.⏱ Timestamps00:00 Intro00:20 Is Hype Necessary for Longevity?02:49 When Hype Goes Too Far04:14 When Can Longevity Escape Velocity Happen?09:52 The FDA and Aging as a Focus Area19:49 Will AI Transform Longevity Research?24:04 Can AI Shorten Clinical Trials?26:57 AI Optimists vs. Skeptics28:38 Alex on Being the Field’s Biggest Skeptic32:00 Do Critics Need a Drug in the Clinic?35:24 When Criticism Does Harm36:45 Is Biohacking Hurting Longevity’s Credibility?46:57 What Could Be Possible by 2030?50:49 Optimism vs. Skepticism: Final Thoughts54:01 Cryonics54:36 The Longevity “ChatGPT Moment”Connect with Aubrey: X: https://x.com/aubreydegrey LinkedIn: https://www.linkedin.com/in/aubrey-de-grey-24260b Connect with Alex: X: https://x.com/biogerontology LinkedIn: https://www.linkedin.com/in/zhavoronkov Connect with George: LinkedIn: https://www.linkedin.com/in/george-church-2b86301 Website: https://colossal.com/george-church/ Connect with Michael: LinkedIn: https://www.linkedin.com/in/michael-ringel-b272a2 Instagram: https://www.instagram.com/msringel/ Connect with JulianInstagram: @thebeyondtomorrowpodcast / @juliankissaLinkedIn: julian-issaX: @juliankissaWebsite: www.beyondtomorrowpodcast.com Email: bookings@beyondtomorrowpodcast.com
    Afficher plus Afficher moins
    1 h et 3 min
  • BT Clip: Can We Escape The simulation? (Roman Yampolskiy)

    BT Clip: Can We Escape The simulation? (Roman Yampolskiy)
    Oct 13 2026

    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
    Afficher plus Afficher moins
    10 min
  • MIT Professor & AI Doomer Admits He Was WRONG (Ramesh Raskar)

    MIT Professor & AI Doomer Admits He Was WRONG (Ramesh Raskar)
    Oct 8 2026
    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 TakeawaysAn 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 RaskarRamesh 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.⏱ Timestamps00:00 Intro00:00 Why AI Is Moving So Fast: The Intelligence Economy01:27 What Is an AI Agent, Really?04:00 Ramesh's P(Doom) Update05:46 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 Explained20:14 Can Personal Superintelligence Exist?25:17 A Model That Learns How to Learn Everything29:19 AI Literacy: What to Do If You're Not Using AI31:16 From OpenClaw to Muse36:25 It's Not About Bigger Models, It's About Better Agents37:51 Road Safety Rules for AI Agents42:58 What a Safe Agentic World Looks Like44:23 Surfing the Web With AI Agents48:44 Voice, Screens or Taps? The Future of Agent Interfaces50:05 Where Will AI Agents Be in One Year?53:00 The Best Advice on Agent Autonomy55:12 The Best Things AI Agents Can Do Today57:12 Prompt Injection: The Command vs Content Problem01:03:35 If Tomorrow was Your Last Day...Resources & MentionsMuse (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 JulianInstagram: @thebeyondtomorrowpodcast / @juliankissaLinkedIn: julian-issaX: @juliankissaWebsite: www.beyondtomorrowpodcast.com Email: bookings@beyondtomorrowpodcast.com 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.
    Afficher plus Afficher moins
    1 h et 6 min
adbl_web_anon_alc_button_suppression_t1
Aucun commentaire pour le moment