It's certainly plausible that improvements will continue, but the pace is completely unpredictable. It's also plausible that the training material is polluted and progress will not continue. I'm just saying that predicting the rate of technological progress is not easy, and historically, it's rarely been smooth in the long run.
There are many complicating technical factors, but also non-technical ones. Technological improvement in the short term will not necessarily yield commensurate economic gains, in which case, investment may not grow enough to sustain the progress.
As for the recursive part, currently it's either hypothetical or based on too few data points. Not saying it won't happen, but it's far from being the only plausible trajectory.
> Not saying it won't happen, but it's far from being the only plausible trajectory.
But if it does happen, then wouldn't expected outcome be at least linear?
I don't have any belief on the matter, but my scepticism isn't necessarily about RSI itself, but about how much it would matter even if it does happen soon. Too many things are limited by lack of resources that no brain in a jar can obtain. And if such a brain in a jar itself is very expensive to operate, it may not be easy for it to justify its existence. My point is that the technical aspect is uncertain, but it is also only a part of a larger system that's has many sources of uncertainty.
I think that resource acquisition is a solvable problem for such a system, robots seem mainly limited by software.
I concede that I am too certain about the linearity of it. But like, cmon man, in the limit entropy ensures that everything ends. The world could still get very weird very fast. I think that's what original comment was trying to argue, and I think it's possible within the limits you've laid out.
That's all I'm trying to argue at least. And I admit that waving my hand at linearity sounds uneducated.
So RSI toward what prompted goal? Then, how can you be so sure that reaching that goal looks like the straight line you envision?
edit: more accurately, it's about incentives. We generally understand that encoding a goal in a complex system is about aligning incentives. So now it's the incentives that are proxies for intended outcomes. But as mentioned, we have a growing body of evidence for just how bad we are at aligning incentives with intended outcomes. And it makes sense because complex systems are not a straight line.
> how can you be so sure that reaching that goal looks like the straight line you envision?
Because the thing pursuing the goal would be able to improve it's ability to pursue the goal. Doesn't that follow from the premise of RSI?
> we have a growing body of evidence for just how bad we are at aligning incentives with intended outcomes.
We are terrible at it! I don't think that will stop us letting something rip in some unknowable direction (with unintended outcomes). I hope that aligned incentives are a prerequisite, but it seems increasingly likely that they are not.
But not necessarily without needing a huge amount of resources. It is a mathematical certainty that no intelligence can solve computationally intractable problems (including forecasting the weather, or the economy) without access to resources we simply don't have.