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Curated and popular this week
With the AI windfall, mental health may be taken increasingly seriously by mainstream EA. There’s increasingly room to explore the cause area and answer some of the biggest uncertainties; at the same time, costs of the most effective interventions are continuing to fall. StrongMinds is now treating for ~$35, about a third of GiveWell’s best guess from a few years ago, and is expected to...
Summary: The actions taken this decade may be exceptionally important for the future of civilization, but we should be unusually hesitant to proclaim that any course of action is “best.” Still, we should try to think carefully about how we'll influence the future.
This post was written as part of an introduction to a new reading group I’m starting called “Doing Good in the Age of AGI.” If you want to follow along, the full curriculum can be found ...
Recent opportunities to take action
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