myslsl

@myslsl@lemmy.world

• ⁨Comment⁩ on ⁨Science!!!!!!!⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  This feels pretty fucking dumb.

• ⁨Comment⁩ on ⁨Tell me Y⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  Ain’t nothin’ but a heartache.

• ⁨Comment⁩ on ⁨Music industry giants allege mass copyright violation by AI firms⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  Given that music boxes are very very old it is plausible that beethoven could have made a remark sharing his opinion on this exact issue. I don’t mean to agree/disagree with your point, I just find that kind of interesting.

• ⁨Comment⁩ on ⁨Music industry giants allege mass copyright violation by AI firms⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  You’re getting downvoted but you are right. Stuff like this for example is super cool example of exactly the type of thing you are talking baout.

  There’s a lot of AI generated visual art that sucks. But that does not imply that in skilled hands an artist can’t use those tools in creative/interesting ways.

• ⁨Comment⁩ on ⁨Music industry giants allege mass copyright violation by AI firms⁩ ⁨⁨4⁩ ⁨months⁩ ago⁩:

  Arguably a lot of these tools are designed specifically to reduce the effort a human has to put in to create the art they want to make too.

• ⁨Comment⁩ on ⁨"Did you realize that we live in a reality where SciHub is illegal, and OpenAI is not?"⁩ ⁨⁨10⁩ ⁨months⁩ ago⁩:

  Machine learning techniques are often thought of as fancy function approximation tools (i.e. for regression and classification problems). They are tools that receive a set of values and spit out some discrete or possibly continuous prediction value.

  One use case is that there are a lot of really hard+important problems within CS that we can’t solve efficiently exactly (lookup TSP, SOP, SAT and so on) but that we can solve using heuristics or approximations in reasonable time. Often the accuracy of the heuristic even determines the efficiency of our solution.

  Additionally, sometimes we want predictions for other reasons. For example, software that relies on user preference, that predicts home values, that predicts the safety of an engineering plan, that predicts the likelihood that a person has cancer, that predicts the likelihood that an object in a video frame is a human etc.

  These tools have legitamite and important use cases it’s just that a lot of the hype now is centered around the dumbest possible uses and a bunch of idiots trying to make money regardless of any associated ethical concerns or consequences.

• ⁨Comment⁩ on ⁨Especially with a real one!⁩ ⁨⁨10⁩ ⁨months⁩ ago⁩:

  These are not mutually exclusive. Believe in yourself.

• ⁨Comment⁩ on ⁨[deleted]⁩ ⁨⁨1⁩ ⁨year⁩ ago⁩:

  If you go see an independent mental health professional aren’t there only two outcomes?

  1. They confirm you are as mentally fit as you think you are and you go on with your life (possibly with more resources than you previously had if your mental health really does take a dive).

  2. They identify something that is actually wrong with your mental health and help you fix or learn to cope with the issue.

  I’m not seeing the downside here. Who cares if it’s coming from some shady government boogeyman or some random stranger?