Forethought[1] is a new AI macrostrategy research group cofounded by Max Dalton, Will MacAskill, Tom Davidson, and Amrit Sidhu-Brar.
We are trying to figure out how to navigate the (potentially rapid) transition to a world with superintelligent AI systems. We aim to tackle the most important questions we can find, unrestricted by the current Overton window.
More details on our website.
Why we exist
We think that AGI might come soon (say, modal timelines to mostly-automated AI R&D in the next 2-8 years), and might significantly accelerate technological progress, leading to many different challenges. We don’t yet have a good understanding of what this change might look like or how to navigate it. Society is not prepared.
Moreover, we want the world to not just avoid catastrophe: we want to reach a really great future. We think about what this might be like (incorporating moral uncertainty), and what we can do, now, to build towards a good future.
Like all projects, this started out with a plethora of Google docs. We ran a series of seminars to explore the ideas further, and that cascaded into an organization.
This area of work feels to us like the early days of EA: we’re exploring unusual, neglected ideas, and finding research progress surprisingly tractable. And while we start out with (literally) galaxy-brained schemes, they often ground out into fairly specific and concrete ideas about what should happen next. Of course, we’re bringing principles like scope sensitivity, impartiality, etc to our thinking, and we think that these issues urgently need more morally dedicated and thoughtful people working on them.
Research
Research agendas
We are currently pursuing the following perspectives:
* Preparing for the intelligence explosion: If AI drives explosive growth there will be an enormous number of challenges we have to face. In addition to misalignment risk and biorisk, this potentially includes: how to govern the development of new weapons of mass destr
Rather than farmers investing more profits from growing plants into animal farming, I think the main avenue of harm is that animal feed is an input to meat production, so if the supply of feed increases, production of meat would increase.
Feed costs usually constitute between 50% to 70% of the total livestock production costs. Reducing the costs of farming crops used for feed (like soybeans and corn) would likely make animal farming more efficient and hence increase the number of farmed animals.
I guess that increasing the efficiency of crops farmed directly for human consumption would barely impact the number of farmed animals. Maybe people would produce and consume more non-meat products because they are more profitable and/or cheaper. Hence, they might consume a bit fewer animal products. But maybe people would afford to buy more animal products because other food is cheaper. I guess that the former effect would be a bit higher but ¯\_(ツ)_/¯ Whether it's net-positive would likely mostly depend on other factors that have little to do with the welfare of farmed animals in the short term. E.g., it might increase the human population a little bit.