This is a crosspost from the new Animal Welfare Alignment Newsletter by Anima International. You can subscribe on Substack if you are interested in following these efforts. Audio reading also available on Substack.
The goals of this post are to:
1. Raise a question I see as crucially important to the goal of aligning AI to animal welfare...
“How long have you been v*g*n?”
This is one of the most common icebreakers at animal protection events. It’s a baseline assumption, and it mostly holds true: if you’re out advocating for animals not to be tortured or abused, realistically these days you are v**n, or close. And it makes for good conversation. It seems fairly safe to assume when you meet strangers.
But this assumption is hurting the movement in a way which we don’t always notice: someone new comes into the sp...
Summary
Back in November 2023 I posted here to launch Spiro and raise our first $198k. Two and a half years later this is an update and a fundraiser for the next step.
The short version: we've now reached over-5,900 people with TB preventive medicine, including over 3,000 children under five years old. Our early results have held up well an...
Not sure I agree, but then again, there's no clear nailed-down target to disagree with :p
For particular people's behaviour in a social environment, there's a high prior that the true explanation is complex. That doesn't nail down which complex story we should update towards, so there's still more probability mass in any individual simpler story than in individual complex stories. But what it does mean is that if someone gives you a complex story, you shouldn't be surprised that the story is complex and therefore reduce your trust in them--at least not by much.
(Actually, I guess sometimes, if someone gives you a simple story, and the prior on complex true stories is really high, you should distrust them more. )
To be clear, if someone has a complex story for why they did what they did, you can penalise that particular story for its complexity, but you should already be expecting whatever story they produce to be complex. In other words, if your prior distribution over how complex their story will be is nearly equal to your posterior distribution (the complexity of their story roughly fits your expectations), then however much you think complexity should update your trust in people, you should already have been distrusting them approximately that much based on your prior. Conservation of expected evidence!