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Starting off with “we’ve heard your feedback” is something I’ve never heard from an abusive parent?
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.
It’s run well for me. A little hiccup with text entering, but that’s standard.
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 not as much. GaaS is the predominant model, and you make more on the LiveOps side than the launch recoup period.
Source: Developer of 10 years, x-Director at 200 person company.
There was a similar study reported the other day about using FMRI imagining and AI to recreate the “thought content” of someone’s brain. It required training for the AI in the person’s brain and some other training. It does seem these techniques can work with some specified models, but yeah, it doesn’t seem like hooking someone’s brain up to this would create a movie of their mind or something.
I think the more dangerous part is “This is step 0,” which this tech would have seemed impossible 10 years ago. Very strange times.
Easy back for me. The original RoA is one of my favorite platform fighters. I’m happy to support Dan and crew for their next venture. I can’t wait till beta opens. :)
Game designer.
I’m a Director of Game Design now.
Ah yes. Paying for privacy on a walled garden website. Genius business moves.
This is a moment. Take it bird by bird.
Imbroglio (https://apps.apple.com/us/app/imbroglio/id969264934) is one of my favorite minimal purchase iOS games. I haven’t played it in awhile, but it’s a unique dungeon puzzle game where you place attacks as floor tiles on the board ahead of playing. There’s some consistent rules with ramping challenge, which made it super replayable for me. I loved trying different floor designs, finding strategies, and there’s a small progression system that’s fun. Hasn’t been updated in a few years, but it was a great design despite the rough appearance.
I’ll take “poorly educated” over “educated and unwilling to learn or grow.”
There’s some diagnostic info when in game through the battery sidebar menu, I think. You can use that to see frame rate and other performance benchmarks.
I usually just google or YouTube some way to improve whatever game I’m playing on deck. Usually, someone has already done the leg work to figure it out.