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...
note: crosspost from my substack
As a vegan for almost thirty years, I’ve long had second thoughts about how effective veganism is for helping animals. I am not alone in this. Recently others have expressed doubts about veganism (see for instance here,...
I recently came across this great introductory talk from the Center for Humane Technology, discussing the less catastrophic, but still significant risks of generative large language models (LLMs). This might be a valuable resource to share with those unfamiliar with the staggering pace of AI capabilities research.
A key insight for me: Generative LLMs have the capacity to interpret an astonishing variety of languages. Whether those languages are traditional (e.g. written or verbal English) or abstract (e.g. images, electrical signals in the brain, wifi traffic, etc) doesn't necessarily matter. What matters is the events in that language can be quantified and measured.
While this opens up the door to numerous fascinating applications (e.g. translating animal vocalizations to human language, enabling blind individuals to see), it also raises some serious concerns regarding privacy of thought, mass surveillance, and further erosion of truth, among others.
https://www.quinnmchugh.net/blog-micro/llms-as-translators