Victor A.

What a Time to Be Alive.


Growing up, I watched cartoons about the future. Robotboy, Megas XLR, The Jetsons. The robots drew me in most, but the whole vision pulled me along -- flying cars, smart machines, a world where technology just worked. Nobody around me shared the fascination. Just me and the TV, absorbing a future that felt impossibly far away.

What held me wasn't a specific invention but the general feeling of possibility. Machines that could think, move, help. My kid math put us 35 years out from anything resembling what I saw on screen. Maybe longer. I loved technology for the sheer awe of it, and that awe carried an assumption baked in: this will take a very long time.


Last year, I sat alone in a Waymo in San Francisco during tech week. No driver. No steering wheel turning. No one in the car who could take over if something went wrong. Just me and a machine navigating city streets. The strange part was how casual it felt. A self-driving car was just... my ride.

But the Waymo wasn't the real shift. That happened when AI stopped being a parlor trick -- writing stories, generating copy, impressive but contained -- and started interacting with the human world. Tool calling started working. A model could read a codebase, call an API, execute a multi-step task. It went from text generator to coworker. That was the line. That's when I started believing in deep learning as something that would reshape how work gets done, not just a research curiosity.

I use Claude to build, to research, to learn. It's woven into how I work now -- not as a novelty, but as infrastructure. A computer can meaningfully assist with non-trivial work. You can chat with a binary on a server and get back something genuinely useful. I still pause on that statement sometimes. It sounds like something from one of those cartoons.

And it's not just software. Every week, another robotics company demos something that five years ago would have been a multi-year research paper. Figure is putting humanoid robots in real environments. The progress is physical now, tangible, walking around on two legs.

The world is chaotic. Reasons for unease are everywhere. But that makes this more worth noting: in the middle of everything, the technology a kid once watched on Saturday morning cartoons is quietly becoming real.

I say it out loud sometimes. To friends, to coworkers, sometimes just to myself after a demo or a task where an AI actually understood what I needed.

What a time to be alive.

Gratitude. For being here, right now, watching the future I dreamed about as a kid start to show up.