I used AI to fix transcription errors, rerrarange the ideas, and suggest tweaks to the title and some sentences.
Three of the most exciting projects to come out of EA in recent years are, in a vague sense, CEA spinouts:
* Kairos is directly a spinout of CEA and now handles most support for university AI safety groups. Basically everyone I've found who knows them is really excited about what they do
* NEST is an opinionated ideas-fi...
This post presents the executive summary from Giving What We Can’s impact evaluation for 2025. At the end of this post we share links to more information, including the full report and...
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