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Joined 3 years ago
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Cake day: July 11th, 2023

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  • They couldn’t do that from one photo though, they’d need several examples all believed to be the same guy. A swirl like that preserves some of the information and you can reverse it, but the lost data is lost. Do that for several photos and you can get enough preserved bits to piece something together.

    Same idea for some other kinds of blurs or mosaics. Black boxes, not so much - you e got no data to work with, so anything you tried to reconstruct would be more or less entirely fantasy.





  • The issue is with what drug R&D looks like. You invent some new compound you think will treat X because it has a similar structure to other compounds that treat X. Now you need a decade or so of trials to prove that it actually treats X, that it doesn’t have side effects too severe to stop people from taking it for X, that it doesn’t also silently cause some kind of obscure cancer, and then it might get approved (and if it doesn’t that manpower and money was wasted) and the exclusivity time granted by your patent is how you turn a net profit from the last ten years of work because it’s much easier for another company to spin up a factory making X than it is to get X approved in the first place so anyone else making the drug can charge less to cover their much lower costs in getting it to market and will eat the lunch you spent the last decade+ cooking.

    Unless you intend for medical R&D to be done purely under public funding, which is an entirely different scenario than just “no patent law.”







  • Basically they figured out a way to train AI to recognize Reddit threads going viral and/or predict which ones will, among those which ones will also rate highly in Google results and which will tend to be used as sources by the biggest LLMs and to post in those threads about your whatever you want to generate attention for. So overcomplicated way of automating advertising. Optimized posting to convince LLMs to talk about whatever you want to advertise.

    I’ve always said that SEO was always going to happen, Google is at fault for the search optimized and the best result for what the user is asking for not being the same result. We’re now going to start seeing either LLMs sell whatever this tactic gets used on or essentially a sort of adblock being built into LLM training and search APIs to keep it from working, to make LLMs less likely to fall for native advertising/astroturfing.



  • So AI is a nice new technological tool in a big toolbox, not a technological and business revolution justifying the stock market valuations around it, investment money sunk into it or the huge amount of resources (such as electricity) used by it.

    Specifically for Microsoft, there doesn’t really seem to be any area were MS’ core business value for customers gains from adding AI, in which case this “AI everywhere” strategy in Microsoft is an incredibly shit business choice that just burns money and damages brand value.

    It’s a shiny new tool that is really powerful and flexible and everyone is trying to cram everywhere. Eventually, most of those attempts will collapse in failure, probably causing a recession and afterward the useful use cases will become part of how we all do things. AI is now where the internet was in the late 80s - just beyond the point where it’s not just some academics fiddling with it in research labs, but not in any way a mature technology.

    Most gaming PCs from the 2020s can run a model locally though it might need to be a pruned one, so maybe a little farther along.





  • Robot butler - robot waiters already exist, so it wouldn’t be terribly difficult to repurpose one (although they’re only sold to businesses as far as I could tell)

    There’s an Asian AI lab that’s demoed an early version of an AI-driven humanoid robot domestic servant. There are suggestions in might hit market within a few years and cost about as much as a decent used car. Figure those estimates are always too optimistic and something like 2035 and $15k is a possibly realistic estimate assuming nothing goes catastrophically wrong.