201–210 of 244 posts
OP seem to ignore that pelican has a distinct look when evaluating these doodles.
So the only bird slightly resembling a pelican beak was drawn by gemini 2.5 pro. In general, none of the output resembles a pelican enough so you could separate it from "a bird". OP seem to ignore that pelican has a distinct look when evaluating these doodles.
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The big trend was around the ghiblification of images. Those images were everywhere for a period of time.
Yeah, but so were the bored ape NFTs - none of these ephemeral fads are any indication of quality, longevity, legitimacy, or interest.
> I’ve been feeling pretty good about my benchmark! It should stay useful for a long time... provided none of the big AI labs catch on. > And then I saw this in the Google I/O keynote a few weeks ago, in a blink and you’ll miss it moment! There’s a pelican riding a bicycle! They’re on to me. I’m going to have to switch to something else. Yeah this touches on an issue that makes it very difficult to have a discussion…
This is why things like the ARC Prize are better ways of approaching this: https://arcprize.org
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Yeah, but so were the bored ape NFTs - none of these ephemeral fads are any indication of quality, longevity, legitimacy, or interest.
I just don't understand how people can see "100 million signups in a week" and immediately dismiss it. We're not talking about fidget spinners. I don't get why this sentiment is so common here on HackerNews. It's become a running joke in other online spaces, "HackerNews commenters keep saying that AI is a nothingburger." It's just a groupthink thing I guess, a kneejerk response.
> This was one of the most successful product launches of all time. They signed up 100 million new user accounts in a week! They had a single hour where they signed up a million new accounts, as this thing kept on going viral again and again and again. Awkwardly, I never heard of it until now. I was aware that at some point they added ability to generate images to the app, but I never realized it was a major thing (p…
To be clear: they already had image generation in ChatGPT, but this was a MUCH better one than what they had previously. Even for you with your stable diffusion app, it would be a significant upgrade. Not just because of image quality, but because it can actually generate coherent images and follow instructions.
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I just don't understand how people can see "100 million signups in a week" and immediately dismiss it. We're not talking about fidget spinners. I don't get why this sentiment is so common here on HackerNews. It's become a running joke in other online spaces, "HackerNews commenters keep saying that AI is a nothingburger." It's just a groupthink thing I guess, a kneejerk response.
I assume, when people dismiss it, they are not looking at it through the business lens and the 100m user signups KPI, but they are dismissing it on technical grounds, as an LLM is just a very big statistical database which seems incapable of solving problems beyond (impressive looking) text/image/video generation.
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Yeah, but so were the bored ape NFTs - none of these ephemeral fads are any indication of quality, longevity, legitimacy, or interest.
It’s hard to think of a worse analogy TBH. My wife is using ChatGPT to change photos (still is to this day), she didn’t use it or any other LLM until that feature hit. It is a fad, but it’s also a very useful tool. Ape NFTs are… ape NFTs. Useless. Pointless. Negative value for most people.
Reproducing a certain style of image has been a regular fad since profile pictures became a thing sometime last century.
I was not meaning to suggest that large language & diffusion models are fads.
(I do think their capabilities are poorly understood and/or over-estimated by non-technical and some technical people alike, but that invites a more nuanced discussion.)
While I'm sure your wife is getting good value out of the system, whether it's a better fit for purpose, produces a better quality, or provides a more satisfying workflow -- than say a decent free photo editor -- or whether other tools were tried but determined to be too limited or difficult, etc -- only you or her could say. It does feel like a small sample set, though.
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> Ask 100 random people to draw a bike and in 10 minutes and they’ll on average suck while still beating the LLM’s here. Y'see, this is a prime example of what I meant with ""Average human" is a much lower bar than most people want to believe, mainly because most of us are average on most skills, and also overestimate our own competence". An expert artist can spend 10 minutes and end up with a brief sketch of a bike.…
> A normal person spending as much time as they like gets you the pictures that I linked to in the previous post, because they don't really know what a bike is. 45 examples of what normal people think a bike looks like: https://www.gianlucagimini.it/portfolio-item/velocipedia/ A normal person given the ability to consult a picture of a bike while drawing will do much better. An LLM agent can effectively refresh its m…
Some models can when allowed to, but I don't belive Simon Willson was testing that?
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If we try really hard, I think we can make an exhaustive list of what viral fads on the internet are not. You made a small start. none of these ephemeral fads are any indication of quality, longevity, legitimacy, interest, substance, endurance, prestige, relevance, credibility, allure, staying-power, refinement, or depth.
100 million people didn’t sign up to make that one image meme and then never use it again. That many signups is impressive no matter what. The attempts to downplay every aspect of LLM popularity are getting really tiresome.
Source? They did exactly that.