This is a special post for quick takes by Jamie B. Only they can create top-level comments. Comments here also appear on the Quick Takes page and All Posts page.
Sorted by Click to highlight new quick takes since:

Do I need a technical background to work on AI Governance? I think no, not really. Quick take because I don't justify many of my claims.

Context: I haver been a technical ML engineer and (briefly) a researcher, and I'm now trying to work on AI governance (and spending a lot of time speaking to people who do work on AI governance).

Examples of things that are useful to understand to do AI governance:
1. Knowing about the train, test, deploy cycle at industrial AI companies.
2. 1. Knowing the psyche of ML engineers at those orgs.
3. Knowing which media channels machine learning engineers & researchers use to stay on top of news, including twitter & ML companies.

You don't get any of those insights by doing an ML coursera course. It might be fun / gratifying to do that course for other reasons, but I think it won't make you better at governance. It's better to have a few friends who are ML engineers and to get them to sketch out what it's like at a lab, some day (or - more costly but more thorough - to take a role at a lab, technical or nontechnical).

What I do think you need to engage with technically is not to be afraid to read below the surface of techincal memes - but I think not much below the surface.

Concrete example: watermarking.

It's enough for policymakers to be able to read a few watermarking papers and understand:
a) watermarking is a way of tagging your model's outputs to prove it was produced by AI
b) There are no tried & tested, reliable watermarking methods at the moment.

Where I see nontechnincal folk fall down (less so in this community) is when they throw out the term 'watermarking' but couldn't tell you about what methods can be used or what the reliability of those methods is. I think that can be read about, and you don't need to have direct experience having tried to watermarking something (I certainly haven't).

Curated and popular this week
 ·  · 1m read
 · 
 ·  · 5m read
 · 
When we built a calculator to help meat-eaters offset the animal welfare impact of their diet through donations (like carbon offsets), we didn't expect it to become one of our most effective tools for engaging new donors. In this post we explain how it works, why it seems particularly promising for increasing support for farmed animal charities, and what you can do to support this work if you think it’s worthwhile. In the comments I’ll also share our answers to some frequently asked questions and concerns some people have when thinking about the idea of an ‘animal welfare offset’. Background FarmKind is a donation platform whose mission is to support the animal movement by raising funds from the general public for some of the most effective charities working to fix factory farming. When we built our platform, we directionally estimated how much a donation to each of our recommended charities helps animals, to show users.  This also made it possible for us to calculate how much someone would need to donate to do as much good for farmed animals as their diet harms them – like carbon offsetting, but for animal welfare. So we built it. What we didn’t expect was how much something we built as a side project would capture peoples’ imaginations!  What it is and what it isn’t What it is:  * An engaging tool for bringing to life the idea that there are still ways to help farmed animals even if you’re unable/unwilling to go vegetarian/vegan. * A way to help people get a rough sense of how much they might want to give to do an amount of good that’s commensurate with the harm to farmed animals caused by their diet What it isn’t:  * A perfectly accurate crystal ball to determine how much a given individual would need to donate to exactly offset their diet. See the caveats here to understand why you shouldn’t take this (or any other charity impact estimate) literally. All models are wrong but some are useful. * A flashy piece of software (yet!). It was built as
Garrison
 ·  · 7m read
 · 
This is the full text of a post from "The Obsolete Newsletter," a Substack that I write about the intersection of capitalism, geopolitics, and artificial intelligence. I’m a freelance journalist and the author of a forthcoming book called Obsolete: Power, Profit, and the Race to build Machine Superintelligence. Consider subscribing to stay up to date with my work. Wow. The Wall Street Journal just reported that, "a consortium of investors led by Elon Musk is offering $97.4 billion to buy the nonprofit that controls OpenAI." Technically, they can't actually do that, so I'm going to assume that Musk is trying to buy all of the nonprofit's assets, which include governing control over OpenAI's for-profit, as well as all the profits above the company's profit caps. OpenAI CEO Sam Altman already tweeted, "no thank you but we will buy twitter for $9.74 billion if you want." (Musk, for his part, replied with just the word: "Swindler.") Even if Altman were willing, it's not clear if this bid could even go through. It can probably best be understood as an attempt to throw a wrench in OpenAI's ongoing plan to restructure fully into a for-profit company. To complete the transition, OpenAI needs to compensate its nonprofit for the fair market value of what it is giving up. In October, The Information reported that OpenAI was planning to give the nonprofit at least 25 percent of the new company, at the time, worth $37.5 billion. But in late January, the Financial Times reported that the nonprofit might only receive around $30 billion, "but a final price is yet to be determined." That's still a lot of money, but many experts I've spoken with think it drastically undervalues what the nonprofit is giving up. Musk has sued to block OpenAI's conversion, arguing that he would be irreparably harmed if it went through. But while Musk's suit seems unlikely to succeed, his latest gambit might significantly drive up the price OpenAI has to pay. (My guess is that Altman will still ma