Does every single human need to be put into neat little categories without any grey room at all? It’s always good vs evil! Yeah! Exactly how life works! No complexity! 🙃
I’m a Bernie supporter. Pretty liberal. I wish no one died, the shooter included. I hate Trump, but stop cheering. Why are we celebrating the end of our species? We’re all human. It’s someone’s son, or brother, or family, or friend.
#ScreamingIntoTheVoid
Starting off with “we’ve heard your feedback” is something I’ve never heard from an abusive parent?
Many things are designed for engagement, so what’s your point? Some people use Lemmy like Reddit and care about internet points that don’t matter. “The rising number is designed to exploit your behavioral patterns and enforce your engagement.” Instead of daily, it’s multiple times, but the point is you can paint many business models like this.
People download the app to get better at a skill. It’s designed to be effective at doing that. It’s a skill people want to learn. How is that exploitive or manipulative?
Full warning: I’ve worked in game design and F2P for like 10 years. I know there’s some personal bias, but there are much worse examples of this stuff than Duolingo or whatever. Painting good actors as bad actors is not correct.
The anecdote part at the end is irrelevant for both of us. I have the opposite experience and don’t even use this app: a bunch of my friends seem to all use it for learning languages. /shrug
Why evil? I’m not a capitalist, but it’s a language learning company being silly; they aren’t causing massive injustice.
About to be a lot of “accidental” falls out of windows.
I believe in UBI, but the Captain Laserhawk show made me aware of how much it could get twisted in fucked up ways. “Don’t watch this show? -$100 from your stipend this month.” I used to think things like that were fear mongering, but the world is all kinds of weird today.
More AI:
Do you hear the denim sing? Singing a song of jean-clad men? It is the fabric of the people Who won't wear slacks again!
When the stitching in your seams Echoes the rhythm of the looms There is a style about to gleam When tomorrow's hemline blooms!
Maybe more apt for me would be, “We don’t need to teach math, because we have calculators.” Like…yeah, maybe a lot of people won’t need the vast amount of domain knowledge that exists in programming, but all this stuff originates from human knowledge. If it breaks, what do you do then?
I think someone else in the thread said good programming is about the architecture (maintainable, scalable, robust, secure). Many LLMs are legit black boxes, and it takes humans to understand what’s coming out, why, is it valid.
Even if we have a fancy calculator doing things, there still needs to be people who do math and can check. I’ve worked more with analytics than LLMs, and more times than I can count, the data was bad. You have to validate before everything else, otherwise garbage in, garbage out.
It’s sounds like a poignant quote, but it also feels superficial. Like, something a smart person would say to a crowd to make them say, “Ahh!” but also doesn’t hold water long.
I generally agree. It’ll be interesting what happens with models, the datasets behind them (particularly copyright claims), and more localized AI models. There have been tasks where AI greatly helped and sped me up, particularly around quick python scripts to solve a rote problem, along with early / rough documentation.
However, using this output as justification to shed head count is questionable for me because of the further business impacts (succession planning, tribal knowledge, human discussion around creative efforts).
If someone is laying people off specifically to gap fill with AI, they are missing the forest for the trees. Morale impacts whether people want to work somewhere, and I’ve been fortunate enough to enjoy the company of 95% of the people I’ve worked alongside. If our company shed major head count in favor of AI, I would probably have one foot in and one foot out.
This has been my general worry: the tech is not good enough, but it looks convincing to people with no time. People don’t understand you need at least an expert to process the output, and likely a pretty smart person for the inputs. It’s “trust but verify”, like working with a really smart parrot.
It’s a fair point. I was talking moreso about just generalized bundling. I think both are accurate.
That’s just going back to cable. 🙃