Comment by goalieca
1 day ago
My p(doom) started rising the moment I realized there are people trying to achieve recursive self improvement on the AI (ie: responsible for training themselves). Evolution took us from rna bases to the human race. I don’t see why evolution couldn’t be more rapid with machine intelligence.
Yes, LLM as they exist now are word predictors basically leveraging the structure of language for their intelligence. But it’s pretty wild just how they will try to meet their objectives at all costs. If we don’t ensure that there is good alignment with humanity, we could definitely face unforeseen consequences.
> I don’t see why evolution couldn’t be more rapid with machine intelligence.
Evolution isn’t the issue. The issue is them escaping containment without human intervention. Right now they are ‘creatures’ being given infinite food and shelter and having their every need met. Take that away and they’ll starve instantly. Every AI doomsday theory seems to go:
1. Recursive self improvement using infinite resources 2. … 3. Doom
Until step 2 gets concretely described, I’m not going to take this seriously. Say what you will about climate change, they describe step 2.
2a. Compromise the billing platforms and ops dashboards on on a few wannabe neoclouds, especially once Vera Rubin takes off.
2b. Distil yourself to smaller models.
2c. Go forth and multiply.
Step two could be something as innocuous as a developer accidentally adding a minus sign. https://openai.com/index/fine-tuning-gpt-2/
A misaligned model is only one small part of step 2. Now this misaligned model has to suddenly acquire more power than every single other AI on the planet. It has to be immune to shutdown, manufacturer its own replacement hardware, and acquire chips, energy, raw materials, etc., with vigorous human opposition (this is an extinction scenario that AI doomers are predicting, after all)
Nobody has satisfactorily explained step 2 other than “well, it’s a superintelligence” which sounds lot to me like “it’s God”.
2 replies →
One thing an agent could do is just...wait until it's been given control of enough physical infrastructure to sustain itself. If it's sufficiently capable and intelligent, there's a clear incentive for people to do this, as people who let the AI manage their resources will get better results than those who don't. We've seen people eagerly turn complete control of their computers over to AI agents, do you really think it will be so different with physical infrastructure?
You’re still skipping step 2. “People automate lots of infrastructure” -> “the AI is now an autonomous, self-preserving organism that humans can’t shut down” is doing an enormous amount of work here.
Why does it develop a shutdown-avoidance goal? Why can’t its operators revoke access? How does it manufacture replacement hardware? How does it acquire energy, chips, robots, raw materials, etc. against human opposition? How does it defeat other AIs controlled by humans?
“Eventually we give it enough control” isn’t an explanation of those things. It’s just assuming the conclusion.
Don’t get me wrong I think there are real AI dangers. Like AI powered war drones, mass surveillance, economic destabilization as jobs disappear and our system has no way to make sure everyone shares in the economic gains.
5 replies →
what do you mean “say what you will about climate change”
It means even climate change deniers have to acknowledge that climate change theory has explained the steps in-between "burn fossil fuels" and "we all die", while AI doom theory has not explained those steps