588 karma · joined December 14, 2023
This is gibberish, you may as well tell me you've found a load-bearing seam.
This is why I'm trying so hard to drill down on the theory of scaling, and not just talk about improvement in general, hand-wavy terms. If the bottleneck of current scaling strategies is training data, or something fundamental about the model architecture, then just throwing more harnessed chatbots at it won't lead to an exponential increase in performance.
Now you could argue that the AI we have now will help us find that change in architecture, and I would agree. But that means we're firmly outside the singularity for the time being, and what people are in fact talking about is a hypothetical.
First they exploit their own gig workers, to make an unsustainably cheap product and corner users. Then they exploit users, to monopolize distribution and corner restaurants. Then they exploit restaurants, threatening to cut off distribution entirely if they don't get an increasingly large share of profits.
I feel like I laid out several cases where other things were the limiting factor on improvement and more agents wouldn't have helped, and I didn't get a response to those cases.
What "they project" (the labs) is of minor interest to me. Aside from their incentives and track record of lying, in recent months they are laying out a story that is pretty much just the plot of Terminator, and directly referencing rationalist beliefs that were published long before LLMs even existed.
I don't think there can be a coherent definition of RSI unless people lay out their theory for how intelligence scales. LLM-assisted coding is great but respectfully optimizing pytorch features or whatever is not gonna lead to exponential improvements. That approach to scaling diminished years ago, leading all the labs to switch to reasoning.
Now it seems reasoning is also yielding diminishing returns, so all the labs are pivoting to specializing in particular fields like math / infosec / biology. They're improving due to accessing new proprietary training data and doing RL with human experts. Again I don't really see any amount of "AI research interns" leading to an exponential improvement to this strategy, they're not the bottleneck in the first place.
If your goal is to rescue the reputation of capitalism, people have found more success just calling Donald Trump a communist.
Would you rather have someone make good software that does not misidentify non-Jews as Jews and send them to the death camps? Or should we outsource this to worse engineers who don't care about morals and don't find this distinction meaningful?
At least I can donate some of my salary to progressive politicians! I don't, but I hypothetically could, which makes me a good person.
AI labs don't stand to benefit from the tech being understood as dangerous for its lack of intelligence. They need it to be understood as dangerous like an intelligent alien civilization.
The logical response to such a self-conscious rejection of democracy is unironically political education and beginning revolutionary political organizing in your neighborhood. But I rarely bother making that point here; HN is probably the least revolutionary-minded grouping in the world outside of tech billionaires themselves.