Five Ambitions Worth a Lifetime

Most goals fit inside a calendar. The questions that matter most to me do not.

I want to help extend healthy human life. I want a world in which poverty is neither inherited nor tolerated. I want to contribute to the science and engineering that could one day make interstellar travel possible. I want us to become more self-aware—individually, institutionally, and as the builders of increasingly capable machines. And I want clean energy to become so abundant and accessible that, for practical purposes, it stops being a constraint on human potential.

Writing that list is uncomfortable. It can sound naïve, grandiose, or detached from the work immediately in front of us. I am not claiming that I can solve these problems, that technology will solve them alone, or that every idea in this essay is right. I am choosing a direction.

These are the problems against which I want to test what I learn, build, support, and—if it eventually proves useful—organize through a foundation. A serious ambition is not a promise. It is a commitment to turn a distant horizon into smaller questions that can be tested today.

Five ambitions, one system

Longevity creates time. Economic security expands agency. Abundant energy creates capacity. Self-awareness creates judgment. Interstellar science creates a horizon long enough to force us to think beyond one company, one election, or one lifetime.

Progress in one area changes what is possible in the others. Longer healthy lives mean more time to learn and contribute. Energy access supports health, education, and economic opportunity. Greater material security gives people room to think beyond survival. Self-awareness helps us decide what to do with more powerful tools. And the interstellar horizon asks whether we can become the kind of civilization capable of sustaining all four.

1. Increase healthy human longevity

The goal is not immortality. It is not merely keeping people alive for longer. It is increasing healthspan: the years in which a person can move, think, choose, relate, and contribute.

The World Health Organization defines healthy ageing in terms of maintaining the functional ability that enables well-being. That is the right standard. I do not want simply to add years to life. I want to add capable life to those years—and make that capability broadly available rather than reserve it for the wealthy.

The pathway is not one miracle treatment. It includes prevention, earlier diagnosis, personalized and evidence-based medicine, regenerative biology, better mental health, healthier environments, and care systems designed around the whole arc of a life.

AI can accelerate parts of this work. AlphaFold showed how machine learning can transform a difficult scientific problem by predicting protein structures with remarkable accuracy. But a prediction is not a therapy, and a promising biomarker is not proof of a longer life. Human biology still has to be tested in laboratories and clinics; robotics can make those experiments more repeatable.

The first discipline, then, is to measure the right outcome. Not hype. Not a single biological-age score. Healthy years, functional capacity, safety, affordability, and access.

2. Make extreme poverty preventable, not inherited

Poverty is not an abstract statistic. It is time consumed by survival, talent left undeveloped, illness that could have been prevented, and choices that never become available.

After adopting revised 2021 purchasing-power parities and a newly calibrated international poverty line of $3 a day, the World Bank estimated that 838 million people lived in extreme poverty in 2022. A global line cannot describe every local reality, but the scale is enough to make indifference indefensible.

Ending poverty begins with income, but it does not end there. People also need healthcare, education, housing, energy, safety, trustworthy institutions, and a path to productive work or ownership.

I believe universal basic income deserves serious experimentation, especially as automation changes the relationship between labor and production. A cash floor can reduce the penalty for bad luck and give people room to learn, care, move, or build. But UBI is not a complete theory of development.

Evidence should keep the argument honest. Finland's limited basic-income experiment found small employment effects. Participants reported greater economic security and better mental well-being, although the official evaluation cautioned that the well-being difference could not be attributed with certainty to the payment alone. It was not proof that one national design works everywhere.

The credible objective is therefore larger than “give everyone a payment.” It is to build a floor below which no one can fall, while expanding the capabilities above it: health, learning, infrastructure, access to capital, and a fairer share of the productivity created by machines.

Cash is powerful. Cash alone is not a system.

3. Make interstellar travel possible

The nearest star beyond our Sun, Proxima Centauri, is about 4.24 light-years away. That number is easy to read and difficult to feel.

Voyager 1, humanity's most distant spacecraft, travels at about 17 kilometres per second relative to the Sun. At that speed, merely covering Proxima Centauri's distance would take roughly 75,000 years. Even a hypothetical probe traveling at 20 percent of the speed of light would face decades of flight, plus the unsolved problems of acceleration, braking, communication, dust impacts, reliability, and power.

So the serious first goal is not to put people on another world. It is to develop the scientific and engineering stack from which interstellar capability could one day emerge.

That stack includes advanced propulsion, high-density energy, new materials, radiation protection, autonomous navigation, closed-loop life support, in-space manufacturing, and machines able to repair themselves far from Earth. Early missions would almost certainly be robotic. Concepts such as laser-driven light sails for tiny probes matter because they turn a vast dream into engineering constraints—not because they prove the problem is solved.

Highly autonomous systems would likely be essential where communication delays make real-time human control impossible. Robotics would be our first physical presence. Study and application would have to move together: model, simulate, build, test in space, learn, and repeat across generations.

Interstellar travel may remain beyond my lifetime. The research required to approach it can still improve energy, materials, autonomy, and life-support systems on Earth.

4. Deepen self-awareness

More intelligence does not automatically produce more wisdom. A person, an institution, or a civilization can become more capable while remaining blind to its motives.

By self-awareness, I do not mean thinking more highly—or more harshly—of ourselves. I mean learning to notice what is driving us, where our attention goes, which stories protect our identity, how confident we are, and whether that confidence tracks reality.

Research on metacognition offers a useful distinction: performance, confidence, and insight into our own performance are not the same thing. That matters far beyond a laboratory task. Many personal and institutional failures begin when certainty becomes detached from evidence.

The pathway is both ancient and modern: psychology, neuroscience, education, contemplative practice, honest feedback, decision journals, and cultures in which changing one's mind is a sign of learning rather than weakness.

AI can help as a mirror: identifying patterns, surfacing contradictions, and rehearsing alternative interpretations. It must not become an oracle. A system trained on our language can reproduce our blind spots or flatter our assumptions. Reflection also requires privacy, consent, and the freedom not to turn the inner life into another stream of data for optimization.

The measure of self-awareness is not how much time we spend looking inward. It is whether we make better choices, repair mistakes sooner, and understand the consequences of our power.

5. Create abundant clean energy for everyone

“Infinite energy” is a moral horizon, not a literal scientific claim. Energy cannot be created from nothing. The practical goal is energy so clean, reliable, inexpensive, and abundant that scarcity no longer limits human possibility.

Sometimes I imagine an advanced civilization observing Earth. It would probably not laugh at the magnet moving inside a coil. Electromagnetic induction is elegant physics, and a future civilization may still use it. It might be surprised that we still burn ancient carbon—and sometimes newly grown biomass—to release heat, often so that turbines can drive generators.

Immense flows of sunlight, wind, and geothermal heat surround us, while nuclear energy remains available to be developed responsibly. We do not know whether trees are rare in the galaxy; we have not found life elsewhere. That uncertainty should make a living biosphere feel more precious, not less.

The strange part is not the generator. It is that a civilization capable of understanding stars still meets so much of its energy demand by burning what it finds beneath its feet.

There will probably be no single solution. The credible path is a system: renewables, storage, transmission, advanced grids, geothermal energy, efficiency, advanced nuclear fission, fusion research, and models that bring reliable power to people who are currently underserved.

Fusion deserves ambition without mythology. The U.S. Department of Energy's 2026 fusion roadmap reports that the National Ignition Facility's 2025 record produced 8.6 megajoules of fusion energy from 2.08 megajoules delivered to the target—a target gain of about 4.13. That is a remarkable scientific result, not net electricity on the grid. Practical power still requires efficient drivers, repeated operation, durable materials, viable fuel cycles, and complete plant integration.

The bottleneck is not only generation. It is storage, networks, resilience, permitting, manufacturing, financing, and distribution. Energy is abundant only when a person can actually access it.

Technology is leverage, not purpose

AI, robotics, and quantum technologies appear across all five goals, but they play different roles.

AI shortens the loop from question to hypothesis. It can search vast spaces, find patterns, simulate candidates, coordinate complex systems, and help scientists decide what to test next.

Robotics closes the loop between a hypothesis and the physical world. Robots can run laboratories, inspect infrastructure, build in dangerous environments, assist care, and operate where a human body cannot. In one autonomous materials laboratory, AI and robotics synthesized 36 of 57 target materials over 17 days. Manual analysis confirmed the 36 successes; four additional cases remained inconclusive and 17 targets were not obtained. Automation increased experimental throughput while human verification remained essential.

Quantum technology may become a specialist instrument. It could eventually help with particular problems in chemistry, materials, sensing, and computation. It is not a magic speed-up for every problem, a source of limitless energy, or a route around the speed of light. NIST describes today's quantum computers as rudimentary and error-prone, and notes that some fault-tolerant applications may require millions of qubits. The timeline for useful large-scale systems remains uncertain.

Technology increases our leverage. Institutions decide who benefits. None of these tools chooses our values, distributes its gains fairly, or tells us which future is worth building.

My starting point is finance, partnerships, and applied AI—not geroscience, poverty policy, plasma physics, or spacecraft engineering. That limitation matters. My contribution can begin where I have real leverage: connecting domain experts, capital, institutions, and experiments, while refusing to confuse coordination with expertise.

What happens to an idea that sounds too large

There is a familiar social experience around ambitious ideas.

At first, people do not take them seriously. Then some laugh. Then the person proposing them is called naïve, unrealistic, or crazy. If the idea begins to challenge established assumptions or interests, resistance becomes more organized.

But ridicule is not evidence that an idea is right. History is full of mocked ideas that deserved to be rejected. “They laughed at me” is not a substitute for physics, economics, ethics, or proof.

I prefer a more useful cycle:

Low attention. Almost nobody notices the idea.
Norm violation. It sounds absurd because it contradicts what people currently treat as normal.
Small tests. A committed group turns the claim into an experiment.
Visible evidence. Results move the discussion from identity to reality.
Revision or scale. The idea is improved, abandoned, or expanded.
Institutionalization. If it works, the once-radical idea eventually becomes infrastructure—and people forget that it once sounded impossible.

The right response to laughter is not wounded certainty. It is a clearer claim, a smaller experiment, better evidence, and the willingness to change course.

From ambition to method

Each of these goals needs the same operating discipline:

Define the long-term direction without pretending to know the final path.
Translate it into a question that can be measured.
Find the smallest honest experiment that can begin now.
Work with people who already understand the field and with communities affected by the outcome.
Publish assumptions, evidence, failures, and changes of mind.
Decide in advance what result would make the work stop or change direction.
Design access and distribution into the work from the beginning, not after the breakthrough.

For every horizon, I want a long-term thesis, a twelve-month experiment, a metric that matters, and a reason to stop. Ambition without that discipline becomes performance. Discipline without ambition becomes maintenance.

A possible future foundation

A foundation could eventually be a vehicle for this work. But it should begin as a research and coordination discipline, not a logo.

A credible first year would not launch five grand programs. It would map the evidence, experts, institutions, funders, and affected communities around each goal; then choose one small, independently evaluated experiment where my experience in AI, finance, and partnerships can help. If an existing institution can do the work better, the right decision may be to support it rather than create another organization. Only after learning what the work needs would a permanent foundation make sense.

If I create one, its purpose should not be to make the ambitions sound larger. It should make the experiments more rigorous—with independent scientific and community governance, public negative results as well as successes, and measures of what it learns and enables rather than the size of its declarations.

A contribution, not a claim

These five goals are larger than a company, a career, or a lifetime. My role is not to own them, but to keep translating them: from aspiration to question, question to experiment, experiment to evidence, and evidence to institutions that can outlast one person.

Some people will dismiss this list. Some will laugh. Some will call it crazy. They may sometimes be right. The answer is better science, clearer ethics, smaller tests, and the willingness to change course. Ridicule is not proof of vision, just as consensus is not proof of truth.

I may never see interstellar travel or an end to poverty. But progress on any of these goals would make the future larger for people I will never meet.

A lifetime is too short to finish this work. It is long enough to begin it responsibly.