this post was submitted on 05 Jun 2024
95 points (100.0% liked)
Technology
37724 readers
837 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Your opening sentence is demonstrably false. GTP-2 was a shitpost generator, while GPT-4 output is hard to distinguish from a genuine human. Dall-E 3 is better than its predecessors at pretty much everything. Yes, generative AI right now is getting better mostly by feeding it more training data and making it bigger. But it keeps getting better and there's no cutoff in sight.
That you can straight-up comment "AI doesn't get better" at a tech literate sub and not be called out is honestly staggering.
I actually don't think it is because, as I alluded to in another comment in this thread, so many people are still completely in the dark on generative AI - even in general technology-themed areas of the internet. Their only understanding of it comes from reading the comments of morons (because none of these people ever actually read the linked article) who regurgitate the same old "big tech is only about hype, techbros are all charlatans from the capitalist elite" lines for karma/retweets/likes without ever actually taking the time to hear what people working within the field (i.e. experts) are saying. People underestimate the capabilities of AI because it fits their political world view, and in doing so are sitting ducks when it comes to the very real threats it poses.
The difference between gpt-3 and gpt-4 is number of parameters, I.e. processing power. I don't know what the difference between 2 and 4 is, maybe there were some algorithmic improvements. At this point, I don't know what algorithmic improvements are going to net efficiencies in the "orders of magnitude" that would be necessary to yield the kind of results to see noticeable improvement in the technology. Like the difference between 3 and 4 is millions of parameters vs billions of parameters. Is a chatgpt 5 going to have trillions of parameters? No.
Tech literate people are apparently just as susceptible to this grift, maybe more susceptible from what little I understand about behavioral economics. You can poke holes in my argument all you want, this isn't a research paper.