j-wang

I was about to say exactly this—it's not really that different from managing a bunch of junior programmers. You outline, they implement, and then you need to review certain things carefully to make sure they didn't do crazy things.

But yes, these juniors take minutes versus days or weeks to turn stuff around.

"But this logic breaks down for advanced models, and badly so. At high performance, fine-tuning isn’t merely adding new data — it’s overwriting existing knowledge. Every neuron updated risks losing information that’s already intricately woven into the network. In short: neurons are valuable, finite resources. Updating them isn’t a costless act; it’s a dangerous trade-off that threatens the delicate ecosystem of an advanced model."

Mainly including this article to spark discussion—I agree with some of this and not with all of it. But it is an interesting take.

I miss the entire Maker Movement moment. It isn’t actually super complex to make a simple circuit board that does some basic things for you.

It’s cheaper to just outsource making the board, but I even made my own simple boards (etched using hobbyist CNC machines). I even used a bunch of surface mount parts with them.

How AI agents of the current era (with LLMs) differs from the history of reinforcement learning-based agents