So, I’m selfhosting immich, the issue is we tend to take a lot of pictures of the same scene/thing to later pick the best, and well, we can have 5~10 photos which are basically duplicates but not quite.
Some duplicate finding programs put those images at 95% or more similarity.
I’m wondering if there’s any way, probably at file system level, for the same images to be compressed together.
Maybe deduplication?
Have any of you guys handled a similar situation?
LITERALLY from a “baby’s first 'puter” course: https://highered.mheducation.com/sites/007256380x/student_view0/part1/chapter2/reading_selection_quiz.html#:~:text=Although computers may appear to,humans who programmed the computers.&text=Humans are smarter than computers.&text=It is extremely time-consuming,that it makes correct decisions.
Or if you need something more ELI5: https://www.reddit.com/r/explainlikeimfive/comments/160lwe8/eli5_where_exactly_do_computers_make_decisions/
You seem very upset, so I hate to inform you that neither one of those are peer reviewed sources and that they are simplifying things.
“Learning” is definitely something a machine can do and then they can use that experience to coordinate actions based on data that is inaccesible to the programmer. If that’s not “making a decision”, then we aren’t speaking the same language. Call it what you want and argue with the entire published field or AI, I guess. That’s certainly an option, but generally I find it useful for words to mean things without getting too pedantic.
🙄
“Pedantic Asshole tries the whole ‘You seem upset’ but on the Internet and proceeds to try and explain their way out of being embarrassed about being wrong, so throws some idiotic semantics into a further argument while wrong.”
Great headline.
Computers also don’t learn, or change state. Apparently you didn’t read the CS101 link after all.
Also, another newsflash is coming in here, one sec:
“Textbooks and course plans written by educators and professors in the fields they are experts in are not ‘peer reviewed’ and worded for your amusement, dipshit.”
Whoa, that was a big one.
I think there’s probably a difference between an intro to computer science course and the PhD level papers that discuss the ability of machines to learn and decide, but my experience in this is limited to my PhD in the topic.
And, no, textbooks are often not peer reviewed in the same way and generally written by graduate students. They have mistakes in them all the time. Or grand statements taken out of context. Or are simplified explanations because introducing the nuances of PAC-learnability to somebody who doesn’t understand a “for” loop is probably not very productive.
I came here to share some interesting material from my PhD research topic and you’re calling me an asshole. It sounds like you did not have a wonderful day and I’m sorry for that.
Did you try learning about how computers learn things and make decisions? It’s pretty neat