It's more than the past couple of years, steady improvements in machine learning stretch back decades at this point. There is no indication this is stopping or slowing down, quite the contrary. We also already know that better is possible because the human brain is still better in many ways, and it exists.
You can claim that continued progression is speculative, and some aspects are, but it's hardly "an article of faith", unlike "we've suddenly hit a surprising wall we can't surmount".
> steady improvements in machine learning stretch back decades at this point
Except that's not how it's actually gone. It's more like, improvements happen in erratic jumps as new methods are discovered, then improvements slow or stall out when the limits of those methods are reached.
And really, there was a version of what I'm talking about in the shorter timespan with LLMs - OpenAI's GPT models existed for several years before someone got the idea to put it behind a chat interface and the popularity / apparent capability exploded a few years ago.
> OpenAI's GPT models existed for several years before someone got the idea to put it behind a chat interface and the popularity / apparent capability exploded a few years ago.
That's exactly what I said in the post you responded to: there weren't erratic jumps, there was steady progress over decades.
You keep switching back and forth between short and long time periods, as if the rapid steady growth of the past couple years is how it's gone for decades. This is not the case - we're currently in a short* period of rapid growth after a decade or so of stagnation. That's what "erratic" means, it has not been steady - over the past several decades there have been several times where we've seen rapid growth for a short period, then it hits a wall and we see very little or no growth until the next breakthrough.
* Granted we don't know for sure it'll be short this time, but hints are that we're starting to hit that wall with improvements slowing down.
