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Cake day: June 17th, 2023

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  • Yeah, which is how we know that 5 isn’t patched into a machine, (likely goes to patch panel, then through the walls to an office/cubical with no machine connected to that port.)… Often means someone was fired and not replaced, or else the patch would be swapped to another place if they replaced the user and placed them elsewhere.

    (Doesn’t have to be that, could be other things of course, like a laptop someone took home, a dead VoIP phone… A disconnected media station, etc)







  • Yeah, the main issues I’ve seen stem from the data being aggregated doesn’t have ways to limit it from aggregating data from itself (or other models). So take in data, spit out the same data, take in that data, and spit out more. If it was wrong at any point in time it continues to spit out data potentially more incorrect and growing.

    Also data sources get hurt. So if you go to a site that has decent information they usually profit via ads. Eventually that data that was scraped from there is being regurgitated and less people go to the site itself, less views less revenue. Some sites will die out do to monetary incentives being gone and costs the same. Meaning new information is not published there and the old data is being spit out with some percentage of error with no source to back check that information on.


  • Yeah I mean what really is the “program” they are calling AI.

    I assume a database where they log terms like double cheeseburger, and try to add as many various ways you can say that without overlapping another item then when that is recognized it runs and if statement that points to term names that are recognized as part of the double cheeseburger. 2 pickles, onions, ketchup, mustard, 2 patties, 2 slices of cheese, and 2 pieces of bread. If the user mentioned a term such as “take off” “hold” “remove” a function is used to change 2 pickles to 0 or 4.

    Then that data set is aggregated into a program that tallies that -2 or +2 pickles changes the cost up/down by said amount. (McDonald’s actually does lower cost if you remove items, I found that interesting…)

    Order paid for… 2 patties automatically dropped into the burger making machine (I think that’s still a carbon based meat sack), subtracted from inventory. 2 buns added… dropped.

    I assume the hard part is when someone says ,“can you remove the lettuce from the first one” after you added a chicken sandwich and add referring to the burger you ordered earlier… Idk


  • LifeInMultipleChoice@lemmy.worldtoFuck AI@lemmy.worldYou think?
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    3 months ago

    You asked a search engine for information from the internet in its early stages and got Frankensteined results from the Internet. That was its purpose was it not? Obviously the more info it scrapes the more info it will go off of… but yeah it is still just scraped data, not even particularly from reliable sources. The language models job is to make sentences out of information it has. It doesn’t do anything intelligent to disect the information.

    A good example is many AI (programs) can draw you a leopard. If you ask the program to then draw an arrow to its tail… It doesn’t know what a tail is so it will draw a random arrow that would point to where a tail would be on a stock image, not even the one it “drew”

    What it knows “this entity is a leopard”. We want it to know much more than that. We want the program to see “draw a leopard” and then it draw: 2 eyes: run the eye operation - which then says draw shapes, for items like retinas, colors, blood vessels etc and document all of that data while creating each hair and skin blotch. Then be able to comprehend what all of the items are and do, so when asked a question or given a task it can perform such actions…

    But we haven’t programmed it to do so, and thus it can’t, because it doesn’t think to learn, it just aggregates data and searches it. It can’t compile the data and recycle itself back to the original operation, as that would be pretty intelligent.