I was diagnosed with a rare blood disease called Essential Thrombocythemia (ET) which is part of a group of diseases called myeloproliferative neoplasms. This happened about three years ago. Recently, I decided to get a second opinion and my new specialist changed my diagnosis from ET to Polycythemia Vera (PV). She also highly recommended I quickly go and give blood to lower my haematocrit levels as it put me at a much higher risk of a blood clot. This is standard practice for people with PV but not people with ET. I decided to put the details into google AI in the same way that the original specialist used to diagnose me. Google AI predicted I very likely had PV instead of ET.
I also asked Google AI how one could misdiagnose my condition with ET instead of PV and google correctly explained how. My specialist had used my high platelet count and blood test that came back with a JAK2 mutation then after a bone marrow biopsy to incorrectly diagnose me with ET. My high hemoglobin levels should of been checked by my first specialist as an indication of PV not ET. Only the second specialist picked up on this. Google AI took five seconds, and is free. The specialists costs $$$ and took weeks.
I’m glad you figured it out, but there are a lot of situations like this that look good with the benefit of hindsight.
I have some horror stories from a friend who started trusting ChatGPT over his doctors at the time and started declining rapidly. Be careful about accepting any one source as accurate.
I think AI "slop" will improve medical diagnoses dramatically. Let's assume for a second that the first specialist did not graduate at the top of their class.
The year is 2030, when LLMs are more pervasive. The first specialist now asks you to wait, heads into the other room and double-checks their ET diagnosis with AI. Doing so has become standard practice to avoid malpractice suits. The model persuades them to diagnose PV, avoiding a Type-II error.
But let's say the model gets it wrong too. You eventually visit the second specialist, who did graduate at the top of their class. The model says ET, but the specialist is smart enough to tell that the model is wrong. There is some risk that the second specialist takes the CYA route, but I'd expect them not to. They diagnose PV, avoiding a Type-I error.
Sadly there's a lot of truth there. Generally it's a bad idea to lend tools to people that don't know how to use them. I don't lend my tools to friends,
although I make exceptions when I 100% trust the guy. This is based on experience.
But I'm happy to help, either by me going there or the friend bringing his stuff to my workshop.
I'm confident you could build one of these in an IF engine like Inform, but the offering is fundamentally different. These books are essentially compressed TRPG experiences where the gamemaster's actions are encoded into the "go-to page n" directives.
>It's about logic, methodology, significance, and citations
To quote kazinator in this thread.
"The typo is not the problem; it's that the typo is evidence of academic dishonesty.
When you make a citation, it means you cracked open the original work, understood what it says and located a relevant passage to reference in your work.
The authors are propagating the same typo because they are not copying the original correct text; they are just copying ready-made citations of that text which they plant into their papers to manufacture the impression that they are surveying other work in their area and taking it into account when doing their work."
>It's not some gold standard of perfection or truth.
"Gold standard" is a term used within the scientific community to describe the high rigor expected within the scientific community when doing research. One of the processes they hold up in this standard is Peer Review. I wasn't making some general public statement about perfection.
Google "Gold Peer Review Gold Standard".
I used to watch her show a few years back. I enjoyed her willingness to point out the failings of the scientific community. Things like lying by omission around the cold fusion energy levels being generated. Certain cosmological areas ignoring the need for empirical validation of their mathematical models etc. This was during that post-covid window where science was the institutions not the the method, skepticism was anti-science. Scientists were being portrayed as angels not humans, that don't suffer from the same failings as the rest of humanity... Anyway it was refreshing.
It was her video on the Stanford Internet Observatory. That made me realise she doesn't always put a lot of research into areas outside her expertise.
But yeah AI slop and all that...
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