• 10 Posts
  • 265 Comments
Joined 2 years ago
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Cake day: June 12th, 2023

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  • If I try to switch accounts, tapping an account just doesn’t do anything unless I press it a bunch of times and then even then it doesn’t really work consistently. It usually works once after restarting the app though (but then goes back to not working after that). Same thing with the “Add account” button

    Edit: I lied about the “Add account” part, it looks like that’s just hidden behind the side menu which I’m assuming is still a bug, but it does work




  • As the other comments are saying, the difficulty curve in Celeste is actually balanced really well. The first level is really easy after you’ve completed it once, and helps you get used to everything. Each level has a gimmick (this one’s was the red bubbles and those things that were chasing me half way through) but other than that it’s pure mechanics, so you get a lot better as you progress through the game and it slowly ramps up the difficulty.

    It’s definitely worth giving it a try if you’re interested, especially when it goes on sale



  • Let people be forced to work and starve so they can learn that capitalism and the traditional ways (outside of religious influence) weren’t so bad.

    Do you really think people aren’t already being forced to work and starve under capitalism? How much do you think your job pays the janitor? What about fast food workers? Mailmen? Do you think they’re all living comfortably and can easily afford food and rent?





  • There were plenty of good shows in 2023 though? Even excluding Frieren and shonens (since I’m assuming based on what you said, you aren’t interested in them) there was also Apothecary Diaries which aired during the same season. Oshi No Ko was pretty good also (the first episode is by far the best, imo the rest of the show is still pretty good tho). Those definitely stood out the most to me but I did enjoy a lot of the 2023 shows I watched.




  • Zangoose@lemmy.worldtomemes@lemmy.worldHell Yeah
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    16 days ago

    Hey, graduating Gen Z here, where are those mythical high-paying remote jobs? Hell, where’s somewhere that will actually look at my resume? People that got hired during COVID got laid off and now we’re competing with people who have 2-4 years of experience for a junior position, inflation is significantly higher and paying for college and rent didn’t exactly get easier. How can you look at the current situation and say we have it easy, just because you also had it rough?



  • Decentralized/OSS platforms >>> Multiple competing centralized platforms >>> One single centralized platform

    Bluesky and Threads are both bad but having more options than Twitter/X is still a step in the right direction, especially given the direction Musk is taking it in. As much as I like the fediverse (I won’t be using either Threads or BlueSky anytime soon), it still has a lot of problems surrounding ease of use. Lemmy, Mastodon, Misskey, etc. would benefit a lot from improving the signup process so that the average user doesn’t need to be overwhelmed with picking an instance and understanding how federation works.





  • I’m not trying to say LLM’s haven’t gotten better on a technical level, nor am I trying to say there should have been AGI by now. I’m trying to say that from a user perspective, ChatGPT, Google Gemini, etc. are about as useful as they were when they came out (i.e. not very). Context size might have changed, but what does that actually mean for a user? ChatGPT writing is still obviously identifiable and immediately discredits my view of someone when I see it. Same with AI generated images. From experience, ChatGPT, Gemini, and all the others still hallucinate points which makes it near-useless for learning new topics since you can’t be sure what is real and what’s made up.

    Another thing I take issue with is open source models that are driven by VCs anyway. A model of an LLM might be open source, but is the LLM actually open source? IMO this is one of those things where the definitions haven’t caught up to actual usage. A set of numerical weights achieved by training on millions of pieces of involuntarily taken data based on retroactively modified terms of service doesn’t seem open source to me, even if the model itself is. And AI companies have openly admitted that they would never be able to make what they have if they had to ask for permission. When you say that “open source” LLMs have caught up, is that true, or are these the LLM-equivalent of uploading a compiled binary to GitHub and then calling that open source?

    ChatGPT still loses OpenAI hundreds of thousands of dollars per day. The only way for a user to be profitable to them is if they own the paid tier and don’t use it. The service was always venture capital hype to begin with. The same applies to Copilot and Gemini as well, and probably to companies like Perplexity as well.

    My issue with LLMs isn’t that it’s useless or immoral. It’s that it’s mostly useless and immoral, on top of causing higher emissions, making it harder to find actual results as AI-generated slop combines with SEO. They’re also normalizing collection of any and all user data for training purposes, including private data such as health tracking apps, personal emails, and direct messages. Half-baked AI features aren’t making computers better, they’re actively making computers worse.