The New Greatest Generation
Somewhere tonight, someone is using AI to build something they could not have built last year.
A programmer is working in a field she barely understood a month ago. A biologist is testing an idea that used to require a much larger team. A founder is turning a conversation into a working prototype before the conversation has quite ended.
Most of these projects will be ordinary. Some will fail. A few will become the tools that make the next wave possible.
This is how an extraordinary future begins: people at their desks, discovering that the boundary of what they can do has moved.
You might be one of them.
The people who lived through the Great Depression and fought World War II became known as the Greatest Generation. Their place in history came from meeting the demands of their time. Circumstances handed them an enormous task, and millions of ordinary people accepted responsibility for some piece of it.
Our generation has a different task taking shape.
We have the chance to use artificial intelligence to cure mortality and conquer the stars.
Those words should feel enormous. They describe a civilization in which being born no longer means accepting an unavoidable expiration date. A civilization whose descendants live throughout the solar system and eventually around other suns. A civilization with enough time and room to attempt things we can barely imagine.
The people who build that future could become the New Greatest Generation.
And the work starts now.
For most of history, human ambition has run into a shortage of human capability.
We can imagine more experiments than we can run. We can ask more questions than we can answer. A promising researcher gets a few productive decades to work on problems that have been accumulating for centuries. Every generation spends years learning what the previous generation already knew.
AI gives us a way to push against those limits.
We are beginning to build tools that help us write software, understand unfamiliar subjects, explore designs, and turn ideas into experiments. As those tools improve, they can help us improve the tools themselves. Better software can accelerate research. Better research can produce better hardware, better models, and better instruments.
That accelerating feedback loop is what makes the singularity such a compelling possibility.
Its arrival may be uneven. Software can change overnight; a clinical trial or a spacecraft takes longer. Progress will still require energy, factories, laboratories, money, and people who can make things work in the physical world.
For a builder, this is an extraordinary list of things to work on.
Every bottleneck is an invitation.
Consider mortality.
Aging damages the body through an intricate collection of biological processes. Understanding those processes, measuring them, and learning to intervene reliably is an immense scientific challenge.
Imagine AI helping researchers connect findings across disciplines, design better experiments, and engineer treatments with greater precision. Imagine automated laboratories testing more possibilities, with results feeding directly into the next round of research. Imagine medicine becoming increasingly capable of repairing the damage that currently accumulates until our bodies fail.
None of this establishes that we will defeat aging. The ambition is to make that outcome achievable through sustained scientific work.
And defeating aging would itself be only part of curing mortality. Cancer, infection, injury, and the vulnerability of the brain would still demand answers. Every advance would give people more time—and give researchers more time to make the next advance.
Think about what that time could mean.
You could finish the work that would otherwise outlive you. You could begin a new career at ninety and spend a century getting good at it. You could know your great-great-grandchildren as adults.
Someone you love could still be here.
That is a future worth building toward.
Then look up.
A civilization with longer lives can undertake longer journeys. A civilization with increasingly capable machine intelligence can send explorers and construction systems ahead of it. Machines could prospect for resources, assemble infrastructure, and prepare habitats in places where a human crew could not yet survive.
Reaching other stars will require profound advances in propulsion, energy, reliability, and protection from radiation. Intelligence alone will not move a spacecraft. It can help us discover how to build one that makes the journey.
Conquering the stars means mastering the difficulty of reaching them and learning how to thrive there.
Imagine the first child born in a settlement whose inhabitants have never seen Earth. Imagine a scientific community studying an ocean beneath an alien moon. Imagine cultures that grow apart across the distances of space, producing art and ideas that could never have emerged on one crowded planet.
The night sky could become a map of places where people live.
An ambition this large changes how you think about the work in front of you.
The developer improving a research tool may help a laboratory run its next experiment. The engineer making computation cheaper may expand who gets to participate. The founder building useful automation may free a small team to attempt a problem that previously belonged to a giant institution.
The connection between today’s work and that distant future will often be indirect. You still need to find customers, fix bugs, test assumptions, and make payroll. You need to learn enough about the problem to recognize when your AI has given you a convincing wrong answer.
Those details are where the vision becomes real.
Use the tools. Build something useful. Learn a field whose problems matter to you. Work with people who know things you don’t. Share discoveries that let others start further ahead.
Being part of this generation is a matter of participation. Its members will be people of many ages, in many countries, contributing through science, engineering, entrepreneurship, and the patient work of making powerful inventions available to everyone.
We should aim for a future in which longer, healthier lives reach billions of people, and the ability to build is spread as widely as possible. That ambition needs to shape the institutions and products we create along the way.
“The New Greatest Generation” is a name we would have to earn.
Imagine people centuries from now looking back at this moment: the early tools, the clumsy interfaces, the astonishing promise, the uncertainty about what would happen next.
They will know what we did with it.
Today, we get to decide.