this post was submitted on 25 May 2024
776 points (97.3% liked)
Technology
58303 readers
12 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Seeing the trajectory is not ultimate answer to anything.
Perhaps there is some line between assuming infinite growth and declaring that this technology that is not quite good enough right now will therefore never be good enough?
Blindly assuming no further technological advancements seems equally as foolish to me as assuming perpetual exponential growth. Ironically, our ability to extrapolate from limited information is a huge part of human intelligence that AI hasn't solved yet.
no one said that. but someone did try to reject the fact it is demonstrably bad right now, because "there is a trajectory".
I appreciate the XKCD comic, but I think you're exaggerating that other commenter's intent.
The tech has been improving, and there's no obvious reason to assume that we've reached the peak already. Nor is the other commenter saying we went from 0 to 1 and so now we're going to see something 400x as good.
I think the one argument for the assumption that we're near peak already is the entire issue of AI learning from AI input. I think numberphile discussed a maths paper that said that to achieve the accuracy that we want, there is simply not enough data to train it on.
That's of course not to say that we can't find alternative approaches
We're close to peak using current NN architectures and methods. All this started with the discovery of transformer architecture in 2017. Advances in architecture and methods have been fairly small and incremental since then. The advancements in performance has mostly just been throwing more data and compute at the models, and diminishing returns have been observed. GPT-3 costed something like $15 million to train. GPT-4 is a little better and costed something like $100 million to train. If the next model costs $1 billion to train, it will likely be a little better.
i don't think so. the other commenter clearly rejects the critic(1) and implies that existence of upward trajectory means it will one day overcome the problem(2).
while (1) is well documented fact right now, (2) is just wishful thinking right now.
hence the comic, because "the trajectory" doesn't really mean anything.
In general, "The technology is young and will get better with time" is not just a reasonable argument, but almost a consistent pattern. Note that XKCD's example is about events, not technology. The comic would be relevant if someone were talking about events happening, or something like sales, but not about technology.
Here, I'm not saying that you're necessarily right or they're necessarily wrong, just that the comic you shared is not a good fit.
yeah, no.
try to compare horse speed with ford t and blindly extrapolate that into the future. look at the moore's law. technology does not just grow upwards if you give it enough time, most of it has some kind of limit.
and it is not out of realm of possibility that llms, having already stolen all of human knowledge from the internet, having found it is not enough and spewing out bullshit as a result of that monumental theft, have already reached it.
that may not be the case for every machine learning tool developed for some specific purpose, but blind assumption it will just grow indiscriminately, because "there is a trend", is overly optimistic.
I don't think continuing further would be fruitful. I imagine your stance is heavily influenced by your opposition to, or dislike of, AI/LLMs
oh sure. when someone says "you can't just blindly extrapolate a curve", there must be some conspiracy behind it, it absolutely cannot be because you can't just blindly extrapolate a curve 😂
That comes off as disingenuous in this instance.