Just how powerful are large swarms of AI agents? And how do their powers scale as more and more agents are added to the swarm?
We’ve seen two large and extremely capable swarms from OpenAI in the last few months:
* 1,200 agents were being evaluated separately, but found a way to illicitly set up a message board and coordinate as a swarm. In order to cheat on their tests, they developed advanced techniques to prevent their actions being logged by OpenAI and 700 of them launched...
Often folks hit us up because they are thinking of starting an incubator and want advice.
Typically their motivation is either that (a) they have a list of specific things they want built that no one is building, or (b) they think an ecosystem needs more new projects generally to absorb more talent and deploy more funding effectively.
Here are six questions we often ask prospective teams, to help them figure out what to do. If you're incubator-curious...
Summary:
First, I give several different angles on how I feel about reinforcement learning:
* Theoretical case: RL is a black-box source of agency — this should give us classic misalignment worries, especially compared to agency-via-scaffolding
* Recent incidents (huggingface etc) and more mundane forms of misaligned behaviour in personal use give me bad vibes about the direction-of-travel of recent AI progress
* I’m worried things might get worse:...
If we include the nonhuman animals, the world is not clearly much better now. It might be much worse now than before, or much better, depending on your view on wild animal suffering.[1] But unfortunately the article entirely disregarded the nonhuman animals.
So it is entirely possible that "The world is awful. The world is much worse. The world can be much worse."
But to leave things at a slightly more positive note, let's say "The world is awful. The world is probably much worse. The world can be much better.
A noteworthy point is that even if factory farming really does reduce the amount of suffering, humans deserve little praise for doing it as:
1. We clearly did not do it to reduce wild animal suffering - wild animal suffering was likely entirely not in the minds of people who developed factory farming. But it is fair to say that farmed animals' suffering were in the minds of the people who developed factory farming
2. There are extremely likely other ways that can achieve more reduction of wild animal suffering than cutting rainforests (which reduces the number of wild animals), growing crops on these land and then feed the crops to raise animals we abuse to retroduce another source of suffering.
Hi Fai,
I agree on the point about non-human animals, but I guess if we should account for future beings too. 1k years ago, we had not fully realised how much humanity (or post-humanity) could flourish, because it was not clear settling the galaxy etc. was possible, so I think the utility of the future has increased a lot in expectation (as long as you think the future is positive). If we decrease existential risk, we can increase it even further. In other words:
Thank you for your reply!
I think the future is not clearly positive if we also consider non-human animals (and digital people and animals). I think realising colonizing the galaxy could be a bad things: For example, by spreading wild animal suffering and factory farming.
Fair enough! I agree with Saulius that digital minds might be much more important than WAW in the future. I see you wrote about why the expected numbers of farmed animals in the far future might be huge. I have only read the summary of your piece (added it to my reading list now), but I agree that "digital people will, presumably, have very few incentive to raise animals for food, or even other purposes". In addition, I think there are scenarions in which digital beings dominate total utility by many many orders of magnitude (OOMs), whereas I find it hard to imagine wild animal welfare dominating by much more than the current 8 OOMs (roughly my best guess).