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The James Altucher Show

The James Altucher Show

De : James Altucher
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 James Altucher interviews the world's leading peak performers in every area of life. But instead of giving you the typical success story, James digs deeper to find the "Choose Yourself" story - these are the moments we relate to... when someone rises up from personal struggle to reinvent themselves. The James Altucher Show brings you into the lives of peak-performers: billionaires, best-selling authors, rappers, astronauts, athletes, comedians, actors, and the world champions in every field, all who forged their own paths, found financial freedom and harnessed the power to create more meaningful and fulfilling lives.© Copyright © 2002-2025 PodcastOne.com. All rights reserved. Economie
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    Épisodes
    • From the Archive: Tim Ferriss on Possibility, Mentors, and the DISS Learning Framework

      From the Archive: Tim Ferriss on Possibility, Mentors, and the DISS Learning Framework
      Jan 23 2026

      Episode Description:

      This second installment of “From the Archive” returns to James’s early, unfiltered conversation with Tim Ferriss. They unpack how to market by creating newsworthy moments (including a frigid book-launch fiasco turned lesson), how to learn anything using Tim’s DISS framework (Deconstruction, Selection, Sequencing, Stakes), and why “possibility is negotiable” when you seek outliers and test assumptions. Tim explains fear-setting, slow-play networking that leads to real mentors, and the origin story of BrainQUICKEN → BodyQuick, including direct-response tactics, offline ads, and early UFC sponsorships. The through-line: run small experiments, protect your best energy, and stack skills to raise your odds.


      What You’ll Learn:

      • How to engineer “newsworthy” launches and recover from execution misses without losing momentum.
      • The DISS method for rapid learning (Deconstruction, Selection, Sequencing, Stakes) you can apply to languages, poker, or
      • Fear-setting, not goal-setting: define worst-case scenarios, prevention steps, and recovery plans to make bolder moves.
      • Mentors without asking “be my mentor”: add value first, build loose ties, and let a few relationships compound.
      • From side-hustle to exit: repositioning, channel selection (including print/radio), and why out-of-fashion inventory can be a bargain.


      Timestamped Chapters:

      • [02:20] A launch-day disaster in 10° weather—and the customer-recovery playbook.
      • [05:00] “Possibility is negotiable” vs. the default “probable” path.
      • [06:57] Finding mentors by learning before earning: the slow-play relationship strategy.
      • [10:00] Optionality: the angel-investing analogy for career and mentors.
      • [14:00] The DISS framework for learning anything.
      • [18:50] Hunt the outliers: why “who shouldn’t be good at this—but is?” unlocks technique.
      • [24:30] Fear-setting: risk = likelihood of an irreversible negative outcome.
      • [26:20] Micro-experiments to de-risk big transitions.
      • [27:24] Secret origin: BrainQUICKEN → BodyQuick; from nootropics to non-stimulant pre-workout.
      • [31:55] Repositioning, targeted niches, and early UFC placements.
      • [33:13] Don’t ignore “old” channels: print and radio as arbitrage.
      • [33:55] Burnout, one-way ticket to London, and systems that led to a sale.
      • [40:36] Title testing (and red herrings) in publishing.
      • [46:16] The 4-Hour Workweek started by accident
      • [52:14] Publishing myths: how “impossible” ideas become inevitable
      • [01:07:58] TV vs. podcasting: control, constraints, and creative freedom
      • [01:31:34] Investing: bet on people (the beer test + mall test)


      Additional Resources:

      • Tim Ferriss — official site/podcast hub: tim.blog • The Tim Ferriss Show
      • The 4-Hour Workweek (Expanded & Updated): Amazon listing
      • The 4-Hour Body — official site: fourhourbody.com
      • The 4-Hour Chef — official site: fourhourchef.com
      • The 4-Hour Workweek — official site: fourhourworkweek.com


      See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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      1 h et 35 min
    • Is Mind-Reading AI Coming Soon? My First Real AI Nervous Moment

      Is Mind-Reading AI Coming Soon? My First Real AI Nervous Moment
      Jan 17 2026

      A Note from James:

      Data is oil. Data is the gold of this AI revolution. Imagine you have an AI that has all of everybody’s thoughts also—so it’s not just learning on tweets and texts, it’s learning on the 60,000 or so thoughts that 8 billion people think each day around the world.

      This sounds like amazing science fiction and magic and everything that one could ever have dreamed of… or it could be the end of the world.


      Episode Description:

      In this solo episode, James breaks down a recent AI development that made him pause for the first time: OpenAI’s investment in a brain-computer interface startup called Merge Labs. He explains why data is the core asset in AI—and why the next frontier isn’t better chatbots, but higher-bandwidth access to human intent, attention, and ultimately thought.

      James compares Merge Labs’ approach with Neuralink, then walks through the practical upsides: medical breakthroughs, hands-free control of devices, and AI-assisted cognition in everyday life. But he also explores the uncomfortable implications: privacy, influence, and the risk that “thought data” could become the most valuable—and most dangerous—resource on Earth.


      What You’ll Learn:

      • Recognize why “data is oil” is still the most important frame for AI power
      • Understand what brain-computer interfaces are, and how they differ across companies
      • Think through real use cases (medical, device control, communication) before the hype takes over
      • Identify the privacy line: what “training on your thoughts” could actually mean in practice
      • Pressure-test your own optimism about AI by asking: “Once data is shared, can it be unshared?”


      Timestamped Chapters:

      • [02:00] Data is oil: why AI is really a data arms race
      • [02:40] Utopia vs dystopia vs “newtopia”
      • [03:16] The optimist’s argument: tech usually helps more than it hurts
      • [04:39] The news: OpenAI invests $250M into Merge Labs
      • [05:29] Why the Sam Altman overlap matters (and why it’s unusual)
      • [06:02] What brain-computer interfaces actually do
      • [06:22] Neuralink explained: reading intent from neurons
      • [07:44] Writing signals back to the brain: the scary part (and the helpful part)
      • [09:39] Merge Labs’ approach: engineered neurons + ultrasound
      • [12:47] Controlling devices by thought: the “thermostat from bed” future
      • [14:35] Telepathy as technology: brain-to-brain messaging
      • [16:17] Influence risk: persuasion and “writing” thoughts
      • [18:45] The real moat: not software—data
      • [19:55] The next dataset: 60,000 thoughts/day × 8B people
      • [21:36] The irreversible trade: once data is handed over, it’s gone
      • [22:17] Why this kind of news is accelerating


      Additional Resources:

      • OpenAI — “Investing in Merge Labs” (official announcement)
      • WIRED — coverage of OpenAI’s investment and Merge Labs’ BCI approach
      • TechCrunch — reporting on the Merge Labs seed round and valuation
      • Neuralink — official site



      See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
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      22 min
    • Scott Adams: The Advice I Still Think About

      Scott Adams: The Advice I Still Think About
      Jan 16 2026
      A Note from James:You know, I’ve known Scott Adams for probably 12 or 13 years. He was one of the first guests on this podcast, and he’s the creator of Dilbert, which was my favorite cartoon strip for decades. But then, starting around 2013, he started writing about his life, his opinions, his approach to life, and what made him a success. The first book he did in this genre was How to Fail at Almost Everything and Still Win Big. He also wrote another book that was very influential, called Win Bigly: Persuasion in a World Where Facts Don’t Matter. Both of these books are must-reads. Win Bigly is the best book ever about real-world persuasion. And Scott Adams himself was kind of an—I don’t want to say he’s an amateur hypnotist, but really more like a professional—in terms of how he used hypnotism techniques for persuasion. And How to Fail at Almost Everything and Still Win Big...when this comes from the very first podcast I had with him—how his story of how Dilbert became a hundred-million-dollar success… he was failing constantly. And the story of the success of Dilbert, which he tells in this episode we’re going to show you now, is just amazing. Scott Adams has more recently become known for his political musings. He had a daily podcast, Coffee with Scott Adams, which I regularly listen to. I would say over the past decade—or 13 years, 12 years—he has not only become a great friend, and even somewhat of a mentor to me, but we’ve talked a lot, on and off the podcast—his podcast, my podcast—and he really helped me out through some times when I was a little upset about different things. He really knew how to reframe problems so that they would become successes. And when I first heard he was sick—this was last June—I was devastated. And of course, he prepared us all that he was going to pass away, which he did a few days ago. It was really upsetting. And, you know, I hate when people kind of take advantage of someone’s death by saying, “Oh, I knew him great. He was my best…” blah, blah, blah. I just want to tell you: listen, put aside all your opinions. He was a great artist. He was a great storyteller. He had opinions you may or may not agree with, but he really knew a lot about the DNA of success and the real mechanics of persuasion—no BS, no academic stuff—just really how to do it. I would really encourage you: you could better your life if you read his books. I love this guy. I’m really sad he passed away. I’ve learned so much from him, and I want to share a little bit of that in this episode. Maybe we’ll even do another one at some point. But, you know, rest in peace, Scott Adams. And please, if you haven’t learned from him in the past—or even if you have—we had a great time whenever we talked. And here’s a piece of that.Episode Description:Scott Adams (creator of Dilbert) explains why he thinks goals can actually make you worse off—and why systems, energy, and probability are the real tools for building a career that lasts.He tells the story of how he broke into syndicated cartooning after repeated rejection, and how a small nudge from a stranger kept him from quitting too early.James and Scott talk about writing with “danger,” why people can’t reliably judge good ideas, and how persistence becomes easier once you stop expecting a perfect plan.They also get into the emotional side of “making it”—including why success can feel disorienting when you hit a milestone you thought would solve everything. What You’ll Learn:Build systems instead of chasing goals, because the target will move before you get there Increase your odds by trying many small bets, rather than staking everything on one “perfect” plan Write with an element of risk—if you’re not at least a little scared, it’s probably too safe Don’t trust friends (or investors) to recognize a good idea on sight—nobody can predict outcomes reliably Protect your energy and schedule your hardest creative work when your brain is actually sharp Timestamped Chapters:[03:04] A Note from James: why Scott mattered, and why this still holds up [06:50] Scott’s new book, Dilbert, and why “systems beat goals” [12:26] Scott’s daily routine and how he actually creates cartoons[15:22] The real Dilbert origin story: rejection, Jack Cassidy, and persistence [22:12] “Danger” in writing: why safe content gets ignored [25:01] The strange downside of success: when purpose evaporates [30:09] Passion is overrated: why momentum beats motivation[33:02] The math of luck: a thousand 10% chances becomes a near guarantee [34:45] Talent stacking: combine mediocre skills into a rare advantage[37:03] Energy as the real multiplier: sleep, food, exercise, and timing [41:53] People can’t judge ideas: why “bad ideas” still have value[45:13] The Spider-Man problem: responsibility after you’ve “made it”[46:01] CalendarTree: solving a small scheduling problem well [52:42] Why ...
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      1 h et 10 min
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