moth main, no llms, all human

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Joined 7 months ago
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Cake day: February 26th, 2025

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  • Meme is a one-shot less-effort message juggling objects, meaning and references to convey a feel, a joke, an idea or really whatever, more characterized by how it’s easy to share it (sometimes causing it spread like a virus) and canibalize it into another meme - just what social media needs. To succeed, a meme should be discernible by a target group, relevant to it and not contradicting itself. Due to how all sorts of multimedia are intertwined, nearly everything can become a meme or a meme material, but if the crowd don’t get, see it irrelevant or erroniously composed - it’s dead.

    Best memes are usually organicly occuring first sources, e.g. videos of people doing awkward things (overly enthusiastic man drawing connections on a board), or best takes at interpreting them with added context (TFW you are explaining the minesweeper lore to your spouse), or best takes at repurposing them (your spouse is thankful you didn’t expose others to minesweeper lore at the extended family diner). And so it goes.

    Worst memes are like jokes: you are either trying too hard, don’t know the audience (e.g. zoomers), try to promote your products or worldviews or just fail at composing a sensible message from the materials you use.

    The easiest to understand proto-memes like emojies, stickers and reaction gifs aren’t that far from simplistic ragecomics of old, and characters from the latter found their way into the pool of the former ones. In the context, these reactions don’t need anything else to work and convey your simple opinion or idea. But the meme needs that context packaged-in to be understood when shared elsewhere to strangers, like rage comics were actually comics explaining why someone feels foreveralone or a smiling trollface in the end.

    In the modern meme scene, there are layers over layers of added references, symbols, meanings and subversions, but their fast-food tier digestability is still the key of why they are here.




  • I like PS glyphs because they are language-neutral and look more distinct, and I think, it would be point one in my choice. Point two is color-coding that helps most people (but may adjustments for accessibility?). Point three although ofercomplicating things is direction-coding, as it’d be generally nice to have a > shape near them, so they’d read intuitively from the first playthrough.

    My initial thought went for second set of arrows. Like d-pad has one kind ⬆️➡️⬇️⬅️ and buttons have the other 🔼▶️🔽◀️. But I doubt it would be consisntetly great in different games with their own visual approach to portraying them.

    Having more direct sign buttons on the other hand ✅️❌️❓️❕️ may be limiting to what devs want their game to be as it implies the check button is always approval, etc.

    Math symbols, tho, ✖️➕️➖️➗️🟰 can be a universal and neutral set to pick from, especially if avoiding the confusing X button.

    Also, ♤♡◇♧, in connection with older modes of gaming, but it should be tested for illegebitility between them and compared to arrows as three of them have vagualy triangular shape.

    Also loss buttons.




  • Sharing nice posts and personal experiences. We can discuss news pieces all day long under anonymous accounts with no need to really communicate with each other, just competing for a best take in the comment section, and it’s something else entirely to discuss some OC with a person who shared it. Fedi is small and tight, so acting like we are a small community and not the Frontpage of the Internets may be beneficial to our existence there, leading to less toxic behavior and more quality interactions.

    Ask youself, where have you seen the best comments and interactions? I’ve seen them when either post is OC, or if a person under a random post gives their expertise in something. While we can’t predict the latter (if there’s a Boing malfunction and there’s a guy who worked with them who can go into details), we can encourage OC posters to do their thing and find if we ourselves can join them.


  • altkey (he\him)@lemmy.dbzer0.comtoTechnology@lemmy.worldBubble Trouble
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    2 months ago

    That’s probably Machine Learning, the root category of tools and the origin of LLMs, not Large Language Models themselves we call ‘AI’. These have many applications they are efficient at gradually explored from the 80s I believe, while the AI boom involving Google, Meta, OpenAI and others is about generalistic chatbots that are bad in just about everything they used in. I’m putting that distinction not because I’m an ass, but because I don’t want the hype wave to get more credibility on the back of real scientifical and technological progress.