
I could be wrong, but I feel like this post is going to be similar to the one I wrote recently about crypto stablecoins. I know some readers never got past the headline, because they were busy imagining all the bad things about crypto — the rug pulls and the graft and so on. One reader even pointed out that my post probably didn’t make it past many people’s spam filters, since the headline contained a word that many people and algorithms ignore on contact. So be it! In any case, this one is probably going to get an overwhelmingly negative response as well, because I think many people have already decided that AI is and always will be terrible — given things like the water use (which I wrote about here) and the plagiarism (which I wrote about here) and convincing people they are immortal or should unalive themselves, etc. (which I wrote about here). If you fall into that category you probably haven’t even made it this far, so I might as well just continue with my thesis: namely, that AI is doing some positive things.
I’ve been collecting examples of things that AI is doing that are clearly beneficial, either to an individual or to society in general — or if not inarguably beneficial then at least not obviously bad — and they have been piling up. I will freely admit here that some of these are still hypothetical, meaning AI has been used in research or hypothetical situations but has had some success that appears to be broadly applicable. One of the things that made me decide to write about it, despite my conviction that it will be unpopular, is a piece I read by someone named Carlo Iacono who writes a blog called Hybrid Horizons (from what I can gather, he is a university librarian from Australia). In the piece, Iacono argues that many of those writing about artificial intelligence have been looking at its effects on the wrong part of the world. Here’s an excerpt:
There is an app in Lagos that can tell you whether your malaria medication is real or counterfeit. It costs sixty dollars. It uses a spectrometer the size of a thumb drive and an AI algorithm trained on the molecular fingerprints of four hundred drugs. A pharmacist holds the device against a blister pack, waits twenty seconds, and the screen tells her whether the pills will treat a child’s fever or do nothing while the parasite multiplies. The company behind it was founded by a Nigerian pharmacist who, at fifteen, swallowed a counterfeit asthma medication and spent twenty-one days in a coma. He survived, studied at Yale, and built a system that now operates in over five thousand pharmacies across Nigeria, Kenya and Uganda. In 2024, it identified and removed 1.3 million counterfeit medications from the supply chain.
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