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Slorp (lemmy.world)
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[-] jaaake@lemmy.world 1 points 4 months ago

It’s happening right now with AI. It’s currently in the Usenet phase. A few people understand it and are using it to positively alter their daily lives by improving their ability to gather and filter information, but (ironically) thanks to the internet the vast majority of people are distracted by some niches like generative art or writing book reports. In the next year or two, we’ll start to see mainstream people have AI personal assistants that will have conversations with other AIs. Even without the robotics component, daily life will change. Remember before you could order Amazon same day delivery, or Door Dash a meal? Imagine that level (and better) of tracking and communication for every service you could need, all completely automated. Your sink broke? A perfectly fine plumber can be here in 20 mins, be advised to expect an 80% chance that you’ll see their buttcrack, a 40% chance that they aren’t wearing deodorant, and a 100% chance there will be multiple off-color remarks about the current political situation. Does this bother you? Your AI already knows and an instant deep dive of reviews and social media has found a plumber that may in fact be your soul mate. They’ll be here on Thursday. Your AI queued up a playlist of your mutual favorite songs.

In a slower but possibly as life altering revolution, AR. Apple is starting this with Apple Vision Pro, but this will need to be miniaturized down to a discrete pair of glasses (like Meta Ray-Bans) with 3 pieces of tech that aren’t there yet:

  1. Even smaller computers (remember when they were the size of shipping containers?)
  2. More efficient batteries
  3. A display technology that both adjusts focus depending on the distance your eyes are focusing at while also occluding reality.

I’m confident these will exist in our lifetime, but probably not within the next decade. Once they all come together, the way people experience life will change. Both for the better and worse. If capitalism hasn’t been legislatively reigned in a bit, the ads are going to be insane.

[-] tiredofsametab@kbin.run 2 points 4 months ago

I actually work with ML a lot (at the intersection of my domain with it), though I am not an ML/AI engineer.

I think short-term, ML/AI has a great chance of helping hugely with accessibility issues with users of various systems. My secondary thought is maybe related to elder care, but I'm not sure yet.

I have largely had bad experiences with AI assistants (coding, search, and other domains), except maybe helping with finding/generating code samples for libs/packages with poor or missing documentation (though I go to the docs and code first and those results aren't always correct).

I do see virtual assistants in various forms being a possible near-term implementation with promise, but most are still heavily trained on and biased to. A handful of languages (in the case of LLMs and such) which limits global appeal.

I am both frightened (the race to market without considering the near- nor long-term costs to society as a whole neither ethics in many cases) and hopeful about the whole thing.

I think you are probably correct, though I also feel we might have something in physics or robotics that has ripple effects opening new avenues. Only time will tell, I suppose. Cheers!

[-] jaaake@lemmy.world 2 points 4 months ago

I am both frightened (the race to market without considering the near- nor long-term costs to society as a whole neither ethics in many cases) and hopeful about the whole thing.

Same! I’m downright terrified about the impossibility of determining what should be legal/illegal because our politics move at a glacial pace and rarely involve experts in the field. Some bad actors can AND WILL really fuck things up here. I do think that the possibilities are a net positive. If I were in charge, I would pump the brakes until we could better ascertain what the fallout will be.

I have largely had bad experiences with AI assistants (coding, search, and other domains), except maybe helping with finding/generating code samples for libs/packages with poor or missing documentation (though I go to the docs and code first and those results aren't always correct).

Maybe my current scenario is in some Venn diagram of the perfect situation, but I’ve been having the opposite experience. I’m a game designer changing from about a decade of Unreal (and another decade and a half of various proprietary engines) to learning Unity. I’ve got a pretty clear idea of what I want to do, I’ve just got no clue how to do it. I’ve been using a combination of GPT-4o and co-pilot to figure things out and it’s been great! GPT has been a combination of pair programming and Google replacement. I’ll tell it what I’m trying to do and it not only spits out a code example, but it describes what each section is doing. Occasionally it’ll tackle problems from the wrong end, like yesterday it was placing a UI element and then clamping it to ensure it was drawn on screen instead of figuring out the proper screen space scale first and properly converting world space to that specific space/scale. But if you're familiar with the methodology and need help with the syntax/structure, it’s kind of amazing. Co-pilot is SO FAST! I’ve got no idea where a property I’m looking for is being stored and that shit auto-completes (almost always) exactly what I’m looking for, purely based on context or comments. Some times it hallucinates properties that don’t exist, but the IDE calls my attention to that pretty quickly and co-pilot usually sets me on the right path.

this post was submitted on 17 Jul 2024
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