My Honest Thoughts On AI

Johnson describes the tangible cost of breaking his routine. Before a major event in London, he intentionally went to bed early, read a book, and worked out the next morning. His heart rate variability had been climbing roughly 7% each day he maintained the pattern, but when a demanding travel schedule forced two consecutive days without exercise, his body rebelled—'squawking'—and he felt the negative effects acutely. He contrasts the phenomenal feeling of being 'tuned in' with the devastation of deviation, emphasizing that the protocol is not trivial; it’s the difference between being fully present versus a diminished version of himself. The evening reading isn’t just relaxation; it’s part of the sleep hygiene. The morning workout isn’t just fitness; it’s what drives the HRV metric upward. The 'A-game' he references was a talk to 100-150 people, requiring peak mental state.

Johnson’s personal experience with hearing loss drove him into action. He arrived at a packed London tech party and immediately assessed the danger: the noise was so loud that everyone was 'suffering from hearing loss.' He bought a bulk set of earplugs and walked through the crowd handing them out, often to confusion. He explained the science directly: decibels over 80 kill hair cells in the ear, and that damage is permanent—'you cannot get hearing back in this moment.' He links this to his core philosophy by calling it 'a form of die and you can measure it.' For him, wearing earplugs is not optional; it’s a basic health intervention, as fundamental as not smoking. The act of handing them out publicly was a lived demonstration of the new game: don’t wait for damage, prevent it immediately.

During a gathering, Johnson led the group through a quick warm-up: 'Hands up, hands up, hands up. Stretch out.' Then he proposed a 5-minute walk together. Later he explained the philosophy: when you start a protocol, start moderate and build up. The critical barrier is not the intensity but the first step; once you string those first steps together, you realize you don’t want to die—i.e., you connect with the motivation to preserve your life. This protocol doubles as a team-building exercise he used to demonstrate the 'new game' he speaks about, contrasting it with the self-destructive grind culture that walks people 'up to the cliff of death.' The walk is both literal and symbolic: it’s the first data point in a new, healthier behavioral pattern.

Johnson argues that the current AI explosion is so fast it makes future prediction nearly impossible, but one thing he’s certain of is that if AI drug design works, it will overhaul medicine within a decade. He envisions a future where every patient gets a personalized medicine computed from their own biological data, minimizing side effects because the drug is mapped to their precise illness, metabolic profile, and genetics. This isn’t just a distant hope—he ties it to the work his own team has already done: they’ve built a protocol from scientific evidence and measured everything about his body, using AI to parse the data. The implication is that the same approach scales from one person to all of humanity, and AI’s ability to process billions of data points will be the engine that makes personalized cures ubiquitous. He couples this with the prediction that most diseases simply won’t exist in a meaningful way if this technological path pans out.

Johnson believes that somewhere in the human genome there is an active rejuvenation program that maintains us up to a point but is then dialed down by design—giving most people a ceiling of around 120 years. He sees this not as an intractable wall but as a setting that can be 'decided' to something bigger. The mechanism he hints at is a loop that could be edited, presumably through future gene therapies or epigenetic reprogramming. He frames this in the context of AI: ‘AI is probably going to accelerate that.’ His thesis is that longevity escape velocity—living long enough for technology to keep extending your life—is one breakthrough away, and that reprogramming this loop is part of that breakthrough. The claim is bold because it shifts the narrative from ‘aging is inevitable’ to ‘aging is a disease with a cure hidden in our own code.’

He paints a picture where everyone has a deeply personalized AI always available to explain confusing things, teach new skills, and help make decisions. The IQ of the assistant is 140—well above average human—and its patience is infinite, removing the friction of human teachers or guides. He argues that this shift will make us collectively smarter and better, and that the conversation about AI must include this upside. Rather than focusing on job displacement or existential risk, he highlights the everyday empowerment that such an assistant would bring. By linking it to past augmentations, he normalizes AI as just another tool that ‘quite literally makes everything better,’ and suggests that the fear of AI is partly rooted in not seeing it as continuous with human technological history.

He describes his role as ‘humanity’s first don’t die prototype’ and then immediately equates that to putting the planet through the same scientific experiment. The method is identical: gather billions of data points about Earth’s ecosystems, evaluate which parts are supporting human life well and which are failing, then implement targeted interventions to improve those ‘biomarkers.’ AI plays a central role because only AI can process the trillions of data points needed to model the death process on Earth and prescribe corrective actions. The underlying message is that just as we can measure and optimize a human body, we can measure and optimize the Earth, and that choosing not to is a choice to let the planet—and by extension, humanity—die. This reframes sustainability as a quantifiable, optimizable health problem.

He explains that when decibel levels exceed 80, hearing damage occurs and cannot be reversed—a fact he knows because he himself has lost hearing in one ear. To him, losing the ability to experience sound is losing a part of the world, which is a form of death. Because it’s measurable (dB level, audiogram), it fits neatly into his philosophy: if we can measure a decrement, we can track it and prevent it. At a packed London tech event, he bought earplugs and handed them out, telling attendees they were suffering hearing loss. His actions show that this isn’t abstract—it’s an immediate, correctable risk. By framing hearing loss as a slice of death, he aims to make people treat it with the same urgency as a life-threatening disease.