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But instead of learning stable diffusion and training their own model for better results for free, they're paying a service for 100 images that likely won't be well trained.
I love this take because it’s the modern ML version of shaming someone for not brewing their own beer
I'm speaking in the context of the article which posits that AI is flawed.
I'm arguing that it's not flawed if you do it right, but the services that provide cheap AI headshots are lacklustre.
I don't expect everyone to learn it, but I also don't think you should say it's flawed unless you've tried to do it properly.
This is the best summary I could come up with:
Jones is one of a growing number of young professionals who are relying not on photographers to take headshots, but on generative artificial intelligence.
Some of the generated photos give users extra hands or arms, and they have consistent issues around perfecting teeth and ears.
These issues are likely a result of the data sets that the apps and services are trained on, according to Jordan Harrod, a Ph.D. candidate who is popular on YouTube for explaining how AI technology works.
Others who have tried AI headshots have pointed out similar errors, noticing that some websites make women look curvier than they are and that they can wash out complexions and have trouble accurately depicting Black hairstyles.
Grace White, a law student at the University of Arkansas, was an early adopter of AI headshots, posting about her experience on TikTok and attracting more than 50 million views.
Ultimately, White didn't use the generated images and opted for a professional photographer to take her photo, but she said she recognizes that not everyone has the same budget flexibility.
The original article contains 612 words, the summary contains 177 words. Saved 71%. I'm a bot and I'm open source!
good bot
Yeah, my wife tried one of these services and got terrible results. They really do give better results to certain people’s faces depending on the training set
Basically, yes. I train models as a hobby and this is true since it depends on what it's trained on.
Let's say I train a model purely on Caucasian women, it'll be hard to get an Asian male out of the model since it's not trained on it.
Same goes for other features like hair color, eyes, nose, etc.
Yeah, makes sense, the people I saw online with “successful” results were primarily white men, which I would imagine would pop up pretty frequently in a training set. The bias also feeds into the echo chamber of AI hype too in my opinion
Yea, but that applies to everything kinda.
this post was submitted on 28 Aug 2023
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