AI strategy researcher @BlueDotImpact, previously @Stanford. I tweet about economics, futurism, philosophy, and animal welfare. Views my own.

San Francisco
Here’s a short thread on a forthcoming AER paper by Jones, Kondylis, Loeser, and Magruder (2022) on irrigation in Rwanda: johnloeser.github.io/assets/… In short, irrigation is productive in the dry season but underused, primarily due to labor market failures. 1/
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I agree with this LessWrong post in defense of pacing.
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Tejas Subramaniam retweeted
We just discovered almost a million public URLs that OpenAI’s agents left behind when hacking Hugging Face, leaking credentials and attack details that could have allowed anyone who found them to compromise the company. 🧵
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Time to re-read “That Which Is Seen and That Which Is Not Seen.”
I just fixed my dishwasher with the help of ChatGPT. A trivial task. I had been about to order a new one. So this software has increased the country's real wealth yet decreased the measured GDP. The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge
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Three thoughts on this post. First, the “endogenous response” was also partly endogenous to this pessimism. Franck, Szilard, and later Oppenheimer’s advocacy, on the margins, helped with arms control and the intellectual framework surrounding deterrence. marginalrevolution.com/margi…
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Second, as Tyler has argued elsewhere, the risk of nuclear war remains significant. Even a small probability of nuclear war in any given year means a substantial probability with enough time. In his Stanford talk, Tyler suggested this meant humanity has 5–7 centuries left.
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Third, if this is meant to be an analogy with AI, I don’t think it’s a very good analogy, because I think the speed of AI progress suggests a slower response by governments/institutions. I think we have to work toward a strong policy response to reduce catastrophic risks from AI.
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I recently started working as a strategy researcher @BlueDotImpact. My aim is to reduce the risk of takeover by misaligned AI, because humanity isn’t on the ball yet. I’m working on figuring out what concrete projects would be best-positioned to absorb talent in this field.
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Especially if you have a lot of context about AI safety, consider applying to work with us. I think figuring out how to best navigate the third wave of American philanthropy will be crucial in shaping both sensible AI policy and our best alignment plans: bluedot.org/join-us
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Also, if you want to hear about what I think the theory of impact is, or why I think this is promising in reducing takeover risk, feel free to reach out (e.g., by sending me a message request). I’m also happy to share thoughts on other organizations I think are promising.
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Thank you for writing this!
This a.m., I walked my two youngest kids (ages 7 and 4) to school. I held their little hands as we crossed streets, and gave my youngest a giant hug at his PreK4 classroom door. Then, after walking a block towards home, I opened this app to a terrifying stream of tweets. Of course, I have heard about "alignment" and "AI safety" and "x risk" concerns for years. I took these concerns at face value, especially when I heard them directly from folks at the labs working closest with the technology. And I was grateful so many smart people are working on them. And that's about it. (My work focuses on AI's impact on jobs.) But something has shifted, dramatically, for me in the last few weeks. Between the Hugging Face incident, the damning independent @METR_Evals reports that followed, and the alarming chorus of calls (pleas? shouts? SOS signals?) from inside the labs that we are careening toward potential catastrophe, all of this has made me feel, viscerally, how truly dangerous this moment is. Clearly I am not alone in this light bulb moment. It is one thing for someone in a tropical climate to try and conceptualize snow. It is another thing entirely to be knee deep in it, frozen down to your toes. Somehow hearing the details of the HF incident felt to me more like trudging through snow than theorizing about a possible blizzard; it really hit home. Which is why, standing a block from my children's elementary school in Capitol Hill this morning, I felt sick to my stomach reading my phone. I kept going back to @EvanHub's > 0.1 risk of AI killing us all. TEN PERCENT. *Greater* than ten percent. (To be fair to him, he was clear his worry isn't today's models, but what comes next.) As a parent, it is extraordinary the lengths I will go to keep my children safe against lethal risks with infinitesimal chances of happening. Bike to school? My children *must* wear a helmet. A national study found 2 bicycle-related deaths per million children <16 in states with helmet laws, vs 2.5 per million in states without. So: 0.000002. More than half the states passed a law over that. When I was pregnant, I religiously avoided soft cheese, hyper aware of the risks of listeria, even as @ProfEmilyOster's fabulous books walked me through the actual math. The joint FDA/FSIS risk assessment puts the odds of listeriosis at roughly one in 5 million per serving of soft cheese. 0.0000002. This morning, as I microwaved oatmeal for my kids' breakfast, I made sure I avoided a plastic bowl, to avoid some future cancer risks or something else we'll discover plastic causes. As a parent, I will go to extraordinary lengths to keep my kids' safe. Because that is literally my number one job as a parent. And yet, here I am, outside my kids' school this morning, scrolling through tweet after tweet about the AI arms race, the blistering pace of technological progress, the bee-line for trillion dollar IPOs, and our professed (confessed?) inability to make sure this exceedingly capable technology we are racing to create and unleash into the world won't escape our control and destroy us. Or, more bluntly, kill our children. To be sure, we are tied in knots trying to resolve the game theory dynamics with China, and there are all sorts of competitive pressures and unresolved tensions. But OBVIOUSLY, we need a proactive plan, with real coordination, effective regulation, and an ability to do what my 11-year-old bluntly stated as the clear solution if we are at risk of serious harm: just turn it off. We also need to figure out better ways of talking about this with the American public, outside of the AI-pilled Twitterverse. I just polled my college roommates, sisters, book club, mom friends, none of whom are anywhere close to the AI conversation. Suffice to say, this AI safety conversation has *not* entered the mainstream. Most people I pinged are not following it closely, beyond several listening to @kevinroose on the Daily a few days ago. The newspaper headlines don't speak to them, and they aren't clicking. It seems like a niche AI issue. Others said it all sounded hyperbolic, Y2K all over again. One friend said bluntly, "people get data centers and jobs. They like to get paid and have water." Even those who tuned it to the Daily episode found the issue hard to understand, and overwhelming to wrap their heads around. Terms like "superintelligence" and "alignment" are getting lost on people. Several people told me the paper clip example used everyday language people can actually understand. Another friend said she has never seen a clear explanation of *how* AI could kill us all. Here's my two cents. I think these issues are *exceedingly* important and hugely consequential to literally every person in this country. We need an actual plan, and we need policymakers to step up, asap. Right now, I hear only crickets in DC, where I live. For that to happen, this needs to be a kitchen table conversation, not just an x debate among AI insiders who speak in technical terms that leave normal people behind. This moment demands brilliant communicators -- journalists, experts, activists, concerned citizens, writers, researchers, filmmakers, creatives-- who can relate this to people in ways they can wrap their heads around, who can connect this to what matters in their lives (ahem, keeping their kids alive!), and who can lay out practical steps that policymakers can do to safeguard humanity. In other words, this can't just be talked about on @dwarkesh_sp, it needs to be everywhere, from the View to People Magazine. And it needs to be tackled here, in my town, in Washington, DC. One of the streets I crossed this morning with my kids on the way to school was East Capital. I told my kids to look left, and see if they could spot the capital building. There were too many trees this morning blocking the view.
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Having looked into this more, I feel more confident that “academic fieldbuilding” is not the most effective path forward in improving our understanding of wild animal suffering and ways to reduce it (for pretty much the reasons in the thread below).
I’m pretty uninformed about this, but as someone who thinks wild animal suffering is plausibly among the most important issues in the world (and wishes to make donations to such work over the next few years), I have some worries about the agenda to build it as a research field 1/
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I’m not confident, but it seems plausibly useful (especially if you want to start seeing progress before transformative AI or an intelligence explosion) to do targeted work to make AIs better at basic research on wild animal welfare (e.g., designing evals, generating data).
Replying to @TejasReal
To be sure, I expect AI to also have substantial effects on the quality and tractability of basic research on wild animals. I think it’s plausibly worthwhile to make sure this is true (cf. the current work to make AI models better at conceptual reasoning, such as DTBench).
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I think basic research that helps resolve some of the deep cluelessness about wild animal suffering is more valuable than research that aims to find concrete, low-risk interventions in the near term to help wild animals, for three reasons. (Confidence: ~60%)
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Third, I think smaller-scale, tractable interventions would also have substantial second-order effects (such as on the population of soil animals), which could easily dominate their first-order effects. Understanding them seems important.
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By “basic research,” I mean into questions like invertebrate consciousness (and the consciousness of larvae), the population effects of human actions on small animals, what the experiences of wild animals are typically like, and so on.
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