oh uhuh mhm is that right
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Gli ultimi otto messaggi ricevuti dalla Federazione
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@danlyke And here I just want someone to make a modern TODO specifically designed to take on the cognitive load of managing too many TODOs.
I love TODOs and I also hate them so very very much.
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@jzb I've been doing my best, to be sure
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@danlyke Ah! For me, it's data supplied by the user, looking for behavioral patterns over time.
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@elight I think that generally requires a large enough data set to do something with.
This is the problem I ran into building face recognition for my photo library: I just don't have that many pictures, and especially not enough carefully aligned portraits, to build real training sets.
So anything I do alone is constrained by outside sources.
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@elight things like "I got into collectibles from gaming, and I'm working on better software for when I have a booth at cons".
I think everyone's working on LLM prompt generators for their day job these days.
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@danlyke That is, pattern analytics finding coincidences and possible causality as a way for optimizing or detecting... whatever.
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NEW: 24-year-old Nicholas Moore will plead guilty to hacking the U.S. Supreme Court electronic filing system in 2023.
There aren't a lot of public details about this case for now. It will be interesting to find out what he accessed or stole.
https://techcrunch.com/2026/01/13/man-to-plead-guilty-to-hacking-us-supreme-court-filing-system/
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@danlyke Ha! That *is* surprising! What on earth are they inventorying!
I would've expected something more like what I've been working on: apps that are, in large part, LLM prompt generators. I could easily see contemporary inventory apps having that as a significant feature for analytics.
All to say, in some ways, I tend to see LLMs as a lazy person's data mining. You know, machine learning from the late 90s/early 00s?
(Mine has more client side tracking/analytics but still...)
