> It's cool and I'm glad it sounds like it's getting more reliable, but given the types of things people have been saying GPT-5 would be for the last two years you'd expect GPT-5 to be a world-shattering release rather than incremental and stable improvement.
Are you trying to say the curve is flattening? That advances are coming slower and slower?
As long as it doesn't suggest a dot com level recession I'm good.
I suppose what I'm getting at is that if there are performance increases on a steady pace, but the investment needed to get those performance increases is on a much faster growth rate, it's not really a fair comparison in terms of a rate of progress, and could suggest diminishing returns from a particular approach. I don't really have the actual data to make a claim either way though,I think anyone would need more data to do so than is publicly accessible.
But I do think the fact that we can publicly observe this reallocation of resources and emphasized aspects of the models gives us a bit of insight into what could be happening behind the scenes if we think about the reasons why those shifts could have happened, I guess.
How are you measuring investment? If we're looking at aggregate AI investment, I would guess that a lot of it is going into applications built atop AI rather than on the LLMs themselves. That's going to be tools, MCPs, workflow builders, etc
Are you trying to say the curve is flattening? That advances are coming slower and slower?
As long as it doesn't suggest a dot com level recession I'm good.