Local AI
The computer on your desk is enough.
For a few years, intelligence seemed to need a building: racks in a far-off room and a queue to use them. That was a moment, not a law. The machine you already own can learn from your photographs and make new ones, and it can do it tonight.
I
Intelligence used to need a building.
The first wave of image AI ran in data centers because that was where it could run at all. The models were enormous, the hardware was rare, and the only way to use them was to send your pictures somewhere else and wait for an answer.
That is changing faster than most people have noticed. The chips in ordinary laptops now carry dedicated neural hardware. Models have become smaller without becoming worse. The gap between what a server can do and what your own machine can do is closing, and for the things a photographer actually needs, it has closed.
II
Local is not a compromise.
Running on your own computer is not the budget option. It is the better one. There is no queue in front of you. Nothing goes down for maintenance. It works on a plane, in a field, in a basement studio with bad reception, and it works the same on the day a company changes its terms as it did the day before.
III
Faster in the way that matters.
Not the seconds a render takes, but the seconds between the thought and the attempt. When trying something sends nothing anywhere and waits for no one, you try more, and the work gets better.
Frame37
Frame37 runs on your computer. All of it.
The learning, the fixing and the making happen on the machine the photographs are on.