Although I can see how it could be useful now, a "Human Deformity Detector" app still seems strange. I can see this being abused to make fun of actual people or at the very least amusing someone who discovers their selfie has a high deformity score. If it works as advertised people who consider themselves deformed now have an objective ranking system I guess.
Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
71–80 of 84 posts
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#72Isn't this product kind of impossible? Like a compression program that compresses compressed files? If you have an algorithm for determining whether a generated image is good or bad couldn't the same logic be incorporated into the network so that it doesn't generate bad images?
We’re optimistic about using our own algorithms and models to evaluate another model. In theoretical computer science, it is easier to verify a correct solution than to generate a correct solution (P vs NP problem).
Not to nitpick but this is NOT the right takeaway from P vs NP.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#73Earlier quoted context omitted.
why is showing your algorithm doesn't work funny?
That example actually wasn't meant to be related to the hands/deformity algorithm-- it was meant to talk about the prompt alignment. Regardless, it does make sense for us to change up that image to avoid confusion!
Doesn't the new one have too few fingers now? And the pointer finger looks like it's shaped like a thumb, huge and gross.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#74Earlier quoted context omitted.
Look more closely: the cup has two handles.
haha I thought this was a funny example to use. On second thought we'll replace it with something better!
Doesn't the new one have too few fingers now? Looks like a total of only 3 fingers. And the pointer finger looks like it's shaped like a thumb, huge and gross.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#75Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#76Fundamentally it sounds like you built an ML model(s) and are trying to monetize it behind an API. How does that work medium-term? Are you expecting there won't be open source alternatives, is your value in hosting the model (and if so will you open source yours) or is there another angle. I've built ML models and looked into how to monetize them, and overall it seems like a tough play without the model being part of…
I'd either want the deformity testing either integrated with the generation service (really deeply if it's a GAN!) or a post processing tool (a "look, dodgy hands" layer in Photoshop which could then allow you to fix those deformities) rather than a separate web service
If the quality of the model is difficult to replicate (which seems to be a big "if" at the pace of NN image processing improvements), I guess there might be licensing or plugin sale opportunities there
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#77Isn't this product kind of impossible? Like a compression program that compresses compressed files? If you have an algorithm for determining whether a generated image is good or bad couldn't the same logic be incorporated into the network so that it doesn't generate bad images?
We’re optimistic about using our own algorithms and models to evaluate another model. In theoretical computer science, it is easier to verify a correct solution than to generate a correct solution (P vs NP problem).
I don't think p vs np has anything to do with it, but also, I don't think your maxim is always (but maybe often is) true anyways.
Problem: traveling salesman, solution: one particular path. I think verification that the solution is optimal in this case is exactly the same problem as finding the solution.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#78Isn't this product kind of impossible? Like a compression program that compresses compressed files? If you have an algorithm for determining whether a generated image is good or bad couldn't the same logic be incorporated into the network so that it doesn't generate bad images?
That's essentially how using a GAN works. E: or how it's supposed to work.
Kind of phenomological but both parts of the GAN are the same model.
Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#79Re: Launch HN: Rubbrband (YC W23) – Deformity detection for AI-generated images
#80I'm not sure about how the longevity of this business model. It seems to me that the quality of generative models will continuously improve over time (in part by incorporating similar kinds of "bad output filters"), making this kind of service less and less useful.