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2. Shining a spotlight on the technologies of tomorrow.
3. Identifying the latest longevity & health protocols.
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Données mises à jour le 23/10/2026
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ROBOTICS PROFESSOR: "AI Is Becoming Self-Aware! Here’s the Biggest Danger!"
jeudi 22 octobre 2026 • Durée 01:21:35
Is “AI will destroy humanity” a real risk, or a story we tell ourselves because we haven’t done the hard engineering?
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.
This conversation opens with a simple question to roboticist Hod Lipson, the mind behind Emo: does he feel like a villain? His answer is honest. He’s both excited and terrified, like someone being told an alien race is about to arrive and being asked whether to welcome them. From there, the discussion turns to why robot faces are so hard to build, and why he thinks the moment a robot genuinely smiles back at you will change how we connect with machines.
Then it gets into the harder questions. Hod is firm that AI won’t wipe out humanity, and he’s challenged more than once on superintelligence, on who benefits from the fear, and on whether nested sandboxes and “AI cops” can really keep us safe. The conversation also explores what it means for a robot to be self-aware, robots that repair and even “eat” each other, why he worries about kids and students whose best friend is an AI, and how any of us finds meaning when machines can do almost everything. It closes with the best advice he’s ever been given.
About Hod Lipson
Hod Lipson is a roboticist and AI researcher who leads work on Emo, a robot focused on realistic facial expression and lip movement. His research spans robot self-awareness, self-repairing and self-reproducing robots, and AI in agriculture.
⏱ Timestamps
00:00 Intro
00:08 Do You Feel Like a Villain? The AI Disaster Question
00:59 Robot Faces Are Next
03:49 Why Do We Need a Robot Face?
05:58 Robots That Look More Human-Like
07:50 Are You Scared?
08:42 “We Earned It” as a Human Race
10:40 The Benefits of Developing AI
15:07 Could AI Go Against Us?
17:42 Regulation, Liability and the FDA Analogy
20:00 Meet Emo
23:56 How Will We Interact With Robots in 2030?
27:00 Can a Humanoid Say No to You?
29:24 Do We Lose Skills to Technology?
32:24 Hod’s P(doom) Number: Zero
34:54 AI Is Limited to a Small Part of Our Life
37:42 Can You Switch Off All Robots?
40:44 Is the Doomer Movement Marketing?
43:40 Using AI to Make AI Safer
46:23 Why AI Can’t Kill Us All
50:07 China Leads in Robotics
52:12 Can Robots Develop Awareness?
58:12 The ChatGPT Moment for Robotics
59:28 A Robot Best Friend for a Child?
01:00:26 Would You Let a Robot Babysit?
01:01:53 Self-Awareness in Robots
01:03:42 The Weirdest Things People Will Do With Robots
01:05:10 Building and Maintaining Robots: Robot Metabolism
01:08:41 Exciting Possibilities With Physical Robots
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.
BT Clip: Exercise Scientist on Weight Loss Drugs (Mike Israetel)
mardi 20 octobre 2026 • Durée 08:23
Do we really know enough about GLP-1 drugs?
Mike Israetel breaks down the risks and trade-offs, from anhedonia and calorie-deprived diets to cognitive distortion and the myth of a “zero-harm” default.
Watch the full episode here: https://open.spotify.com/episode/4iHXkGzLvxSU87rzOHNvlq?si=361782122faa4ea9
4 Longevity Legends Debate Each Other About Human Flourishing
jeudi 15 octobre 2026 • Durée 01:03:01
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 Panelists
Aubrey 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.
BT Clip: Can We Escape The Simulation? (Roman Yampolskiy)
mardi 13 octobre 2026 • Durée 10:22
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
MIT Professor & AI Doomer Admits He Was WRONG (Ramesh Raskar)
jeudi 8 octobre 2026 • Durée 01:06:16
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.
BT Clip: Scientist Exposes The Dangers of AI Super Intelligence (Roman Yampolskiy)
mardi 6 octobre 2026 • Durée 10:50
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
Ex-DeepMind Scientist WARNS: Why We Still Can’t Trust Today’s AI
vendredi 2 octobre 2026 • Durée 01:43:28
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
Dr Mike Israetel: ‘’ALMOST EVERY American Should Be On GLP-1s, Here’s Why!’’
jeudi 24 septembre 2026 • Durée 01:51:32
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
AI Safety Expert Roman Yampolskiy WARNS About the TWO Likely Endings with AI
jeudi 17 septembre 2026 • Durée 01:02:53
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.
BT Clip: Longevity Experts: The Tipping Point That Will Trigger a Global “War on Aging” (Matt Kaeberlein, Aubrey de Grey, and Gordan Lauc)
mardi 15 septembre 2026 • Durée 08:15
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
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.
⏱ Timestamps
00:00 Intro
00:20 Is Hype Necessary for Longevity?
02:49 When Hype Goes Too Far
04:14 When Can Longevity Escape Velocity Happen?
09:52 The FDA and Aging as a Focus Area
19:49 Will AI Transform Longevity Research?
24:04 Can AI Shorten Clinical Trials?
26:57 AI Optimists vs. Skeptics
28:38 Alex on Being the Field’s Biggest Skeptic
32:00 Do Critics Need a Drug in the Clinic?
35:24 When Criticism Does Harm
36:45 Is Biohacking Hurting Longevity’s Credibility?
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
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.
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?
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
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