Dan Witte
61 posts


I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools.
With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments.
Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know.
I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars.
(One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.)
There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!
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@natolambert should we expect openai to come out with a healthcare tuned model like 4.1 was for coding? The new eval + a recent Michelle Pokrass interview suggests they're looking for a new power user use cases with in verifiable domains
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two weeks trying cursor agent and my opinion has changed a lot. software engineering is undergoing a fundamental shift
great engineering used to require deep human-machine symbiosis
it's now optimally managing of a team of eternally optimistic but hopelessly deficient interns
Jack Morris@jxmnop
people underestimate the mental cost of outsourcing code to Copilot/Cursor it's a mortgage: quick progress now at the expense of not understanding your own codebase it may be that beyond simple line autocomplete, it's more efficient in the long run to do everything yourself
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@natolambert is there a good benchmark comparison of structured outputs for O3 and Gpt4O? Google is failing me.
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@ryanchenkie @simonw How is this not a more widely used exploit? misspelled packages would also be an easy method
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@alexalbert__ Have you come across any good YouTube videos of people demo-ing how their LLM coding setups?
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@fabknowledge @asianometry @dylan522p Yeah that's fair. FWIW I would legit volunteer a little time to help clean up the edges if it would improve quality
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@wittedanj @asianometry @dylan522p i totally understand, I wnat to level it up but its hard when its everyone's 5th priority,
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Another episode of Transistor Radio. We continue to worsen the show's audio and content quality to make it more fun for all of you guys. We talk about Intel, nuclear reactors and China's impending semiconductor takeover. @fabknowledge @dylan522p
podcasters.spotify.com/pod/show/doug-…
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@fabknowledge @asianometry @dylan522p Lol. Just sayin, it would be a good thing to have quality podcasts that nerd this hard.
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@wittedanj @asianometry @dylan522p 1) never will happen 2) we do it over squadcast but there's no way 1 will ever happen
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