---
title: "Near-Term AI capabilities probably bring low-hanging fruits for global poverty/health"
description: "A call to charity entrepreneurs in December 2022. Models of that generation were about to make some interventions viable, and the non-profit sector had not caught up."
published: 2022-12-07
tags: ["AGI strategy and foresight"]
importance: 2
confidence: "likely"
docStatus: "finished"
cover: "https://jacquesthibodeau.com/content/images/2022/12/Whats-Next-for-AI-in-the-Nonprofit-Sector-feat-1200.webp"
coverAlt: "Eight women in bright patterned clothes crowd around a tablet held by one of them, under a thatched shelter, with a basin of fish in front of them."
audio: "https://pub-4ee2f71bc29541a7a6e8d9694f0a1b21.r2.dev/6390bcd73de6b56ce4c0c8a5/audio.mp3"
author: "Jacques Thibodeau"
canonical: "https://jacquesthibodeau.com/untitled/"
---
I'm an alignment researcher, but I still think we should be vigilant about how models like GPT-N could potentially be used to make the world a better place. I like the work that Ought is doing with respect to the academic field (and, hopefully, alignment soon as well). However, my guess is that there are low-hanging fruits popping up because of this new technology, and the non-profit sector has yet to catch up.

This post is a Call To Action for any charity entrepreneur, you could potentially boost efficiency of the non-profit sector with the use of these tools. Of course, be careful since GPT-3 will hallucinate sometimes. But putting it in a larger system with checks and balances could 1) make non-profits save time and money 2) make previously inefficient or non-viable non-profits become a top charity.

I could be wrong about this, but my expectation is that there will be a lag between the time people can use GPT effectively for the non-profit sector and when they actually do.

If you'd like some help in figuring out how near-term AI could be used in the charity, send me an email (thibo.jacques at gmail dot com), and we can brainstorm together.

## Terms used

The author's own definitions for the glossary terms this piece uses. These are his words,
not a standard reference.

- **GPT** — Generative pre trained transformer: the family of decoder only language models OpenAI named this way.