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...
TLDR: Everyone’s talking about what the money could do, but few about how to decide where it goes.
This post is part of the new series of articles on cross-cause giving and the new wave of philanthropy. Stay tuned to the EA Forum and our Substack for the latest takes on topics such as giving now vs. later, common pitfalls in cause prioritization, and other crucial considerations from the Cross-Cause Fund (CCF) team...
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...
Hi all,
What I find an interesting perspective is to approach ethics from the point of view of a “network.” In our case, a network in which humans (or, more precisely, our intelligences) are the nodes, and the relationships between these intelligences are the edges.
For this network to exist, the nodes need to establish and maintain relationships. This “edge maintenance” can, in turn, be translated into what we call ethics or ethical behaviour. Whatever creates or restores these edges/relationships—and thereby enables the existence of the network—is just, correct, or virtuous. This is because, to make the intelligent nodes physically exist (to keep their substrate intact), the network itself must exist: the nodes are interdependent. One node grows wheat, another harvests it, another bakes bread, another distributes it, etc. Thus, ethics becomes about existence, which is much easier to comprehend.
Once you embrace this network between intelligent nodes, you can also start thinking about all subsequent dependencies in terms of nodes and edges/relationships. This neatly highlights the interdependences of our existence and leads me to formulate the meaning of life as: “Keep alive what keeps us/you alive.” As this becomes the internal logic of this interdependent network.
I’m curious who else finds this perspective interesting, as I believe that using the language of networks and complex systems in this context opens the door to thinking and talking more clearly about intelligence and AI alignment, (inter)national collaboration, (bio)diversity, evolution, etc