Deena Mousa

@deenamousa.com

Global health & development at Open Philanthropy https://newsletter.deenamousa.com/

NEW: If AI erodes paths to growth, like manufacturing and service exports, what can poor countries do? I went through commonly-recommended contenders and came out skeptical that any are a truly comparable growth engine. Is sending people to rich countries the best bet?

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New: AI could keep poor countries poor by eliminating paths to economic growth. Stocks in Indian IT firms and Philippines' call centers have been selling off, driven by fears about AI automation. In an age of AI, will the world need any of what poor countries sell?

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Rats are virtually everywhere humans live. Except for Alberta, Canada. Most residents there have never even seen one. How did they eliminate a pest we take as a fact of life? By waging war.

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Roundup of my favorite May reading: India's IT revenue and employment decoupled for the first time in 2 decades, ChatGPT's obsession with goblins is actually very human, and in countries with fewer than 1 doctor/10,000 people, the AI-and-jobs debate looks a *little* different tinyurl.com/mrybv9f9

Roundup: AI as complement

Endogenous tasks; AlphaFold and scientific bottlenecks; intelligence-as-a-service in LMICs; cracks in India's IT story; the North-South diffusion gap; why language models are weird

newsletter.deenamousa.com

New: Big technological advances in health, agriculture, and connectivity have not moved Malawi out of subsistence — and there's no war or state collapse to blame. Without knowing why Malawi is poor, you can't predict what AI will do for growth in low-income countries.

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In 1925, hybrid corn came online in the US. It yielded ~20% more/acre, but by 1933 it was on just 0.1% of US corn acreage. It took another drought in 1936 to move Iowa farmers, Europe didn't follow until the 50s, and global adoption is still patchy. Could AI look the same?

Looking at workers in industrial jobs exposed to automation, those who worked with robots directly were more likely to believe both that (a) their job was automatable and (b) robots would create new job opportunities for them.

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College students would need to be paid $59 (on average) to deactivate TikTok for a month, but would *pay* $28 for it to be deactivated for them and their social circles for the same amount of time.

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AI is often framed as Africa’s next leapfrog. In Ep2 of our @voxdev.bsky.social series, Rose Mutiso argues this is the wrong frame: AI isn’t end-user tech like mobile phones, but an upstream, infrastructure-heavy system that concentrates value where power, compute, and data already exist.

AI in Africa: Barriers, opportunities and policy

Can AI take off in Africa? Rose Mutiso joins us to discuss the need for an energy and digital infrastructure revolution on the continent, and how to make it happen.

voxdev.org

People invoke the Industrial Revolution as reassurance about AI. But living through it meant decades of wage stagnation, job loss & unrest. Ep1 of a new @voxdev.bsky.social series, we talk to economic historian Bruno Caprettini about what that analogy gets right/wrong t.co/AyuTVMKcEY

AI and the industrial revolution: Similarities, differences and lessons

How did society change during the industrial revolution? Are there lessons we can learn for the AI revolution?

voxdev.org

New post: ML trained on phone usage data can help identify households in need during crises. Not yet finalized your end of year giving? I've teamed up with GiveDirectly along with a few other Substackers, and I’ll be matching the first $500 in donations through the link in post.

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Just out in @technologyreview.com: I look at the companies using AI to measure how much pain patients are in based on everything from involuntary facial movements, to heart rate, to peripheral temperature changes. Will this oust the classic self-reported 1-10 scale?

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A new paper in the Lancet finds that doctors got *worse* at finding precancerous growths during colonoscopies on their own if they had just spent three months using an AI assistive tool Worrisome sign that deskilling may happen a lot faster than we'd expect.

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New post: When can more automation mean more human workers? One argument I made in my recent @worksinprogress.bsky.social piece is that if automation made reading scans quicker and cheaper, this might result in *more* jobs for radiologists, rather than fewer. How does this apply to other jobs? 🧵

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In 2016 Geoffrey Hinton said “we should stop training radiologists now" since AI would soon be better at their jobs. He was right: models have outperformed radiologists on benchmarks for ~a decade. Yet radiology jobs are at record highs, with an average salary of $520k. Why?

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I really enjoy Adam Mastroianni's Experimental History — I expect I'll like following some of the winners of his blog competition just as much! A few of my favorites in thread:

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I was recently surprised to learn how little we know about pain. For example, Americans have been experiencing more chronic pain over time, and we're not entirely sure why 1/

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We treat QALYs as a uniform unit of measure, but every QALY may not be the same. We may care more about QALYs when we're sickest. This makes sense, given how we think about income increases, but isn't how we evaluate health. I write about why in a new post, linked below.

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How much is a year of your life worth? In Denmark, the average answer is $24,000. In Japan, it’s about $67,000. New post up on what we say when asked to put a price on life. 🧵

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