alt Hacker NewsThe models are improving. The software that harnesses them is also improving. It wasn't that long ago that the models were quite bad at a lot of the tasks that they are excelling at today. I do agree there's probably a ceiling to what we can get out of these, but I also don't think we have quite hit that point yet.
Replies
ares623 • today at 5:14 AM
At $800B collective spend, you would hope these things are improving. The point is that have the improvements been worth $800B and counting.
➕ show 1 reply
I agree with what you said. And perhaps my belief that “people like me are still needed” is just a desperate form of self-persuasion.
If AI replaces everything, then I become unnecessary. So maybe I am simply trying to convince myself that developers like me are still needed.
That said, realistically, I still think there are limits unless the essence of architecture itself changes. I also acknowledge part of your perspective.
Those of us who are not in the AI field tend to experience AI progress not as a linear or continuous process, but as a series of discrete events, such as major model releases. Because of that, there is inevitably a gap in perspective.
People inside the industry, at least those who are not just promoting hype, often seem to feel that technological progress is exponential. But since we are not part of that industry, we experience it more episodically, as separate events.
At the same time, capital has a self-fulfilling quality. If enough capital concentrates in one direction, what looked like linear progress may suddenly accelerate in an almost exponential way.
However, even that kind of model can eventually hit a specific limit. I do not know when that limit will arrive, because I am not an AI industry insider. More precisely, I am closer to someone who uses Hugging Face models, builds around them, and serves them, rather than someone working on AI R&D itself.