Google to pause Gemini image generation of people after issues
601–610 of 1001 posts
Re: Google to pause Gemini image generation of people after issues
#602Re: Google to pause Gemini image generation of people after issues
#603Earlier quoted context omitted.
No one is upset that an algorithm accidentally generated some images, they are upset that Google intentionally designed it to misrepresent reality in the name of Social Justice.
Depicting Black or Asian or native American people as Nazis is hardly "Social Justice" if you ask me but hey, what do I know :)
Re: Google to pause Gemini image generation of people after issues
#604Earlier quoted context omitted.
> If you ask generative AI for a picture of a "nurse", it will produce a picture of a white woman 100% of the time, without some additional prompting or fine tuning that encourages it to do something else. > If you ask a generative AI for a picture of a "software engineer", it will produce a picture of a white guy 100% of the time, without some additional prompting or fine tuning that encourages it to do something el…
This is a much more reasonable question, but not the problem Google was facing. Google's AI was simply giving objectively wrong responses in plainly black and white scenarios, pun intended? None of the Founding Father's was black, and so making one of them black is plainly wrong. Google's interpretation of "US senator from the 1800s" includes exactly 0 people that would even remotely plausibly fit the bill; instead i…
This is in fact why Google had not previously released generative AI consumer products despite years of research into them. No one, including Google, has figured out how to bolt a reliable “truth filter” in front of the generative engine.
Asking a generative AI for a picture of the U.S. founding fathers should not involve any generation at all. We have pictures of these people and a system dedicated to accuracy would just serve up those existing pictures.
It’s a different category of problem from adjusting generative output to mitigate bias in the training data.
It’s overlapping in a weird way here but the bottom line is that generative AI, as it exists today, is just the wrong tool to retrieve known facts like “what did the founding fathers look like.”
Re: Google to pause Gemini image generation of people after issues
#605German couple in 1820 https://www.reddit.com/r/ChatGPT/comments/1avmpfo/ah_the_cla... 1943 German soldier https://www.reddit.com/r/ChatGPT/comments/1awtzf0/average_ge... Pretty funny, but what do you expect.
Scottish people in 1820 https://twitter.com/BasedTorba/status/1759949016320643566 British / American / German / Swedish women https://twitter.com/iamyesyouareno/status/175989313218585855...
https://www.nts.org.uk/stories/africans-at-the-court-of-jame...
Re: Google to pause Gemini image generation of people after issues
#606Here's the problem for Google: Gemini pukes out a perfect visual representation of actual systemic racism that pervades throughout modern corporate culture in the US. Daily interactions can be masked by platitudes and dog whistles. A poster of non-white celtic warriors cannot. Gemini refused to create an image of "a nice white man", saying it was "too spicy", but had no problem when asked for an image of "a nice blac…
It's so stubborn it generated pictures of diverse Nazis, and that's what I saw a liberal rag leading with. In fact it is almost impossible to get a picture of a white person out of it.
Makes sense. But it won’t even draw “a picture of a modern German soldier riding a horse”. Are Germans going to be tarnished forever?
FWIW: I’m a black guy not an undercover Nazi sympathizer. But I do want my computer to do what I tell it to do.
Re: Google to pause Gemini image generation of people after issues
#607Earlier quoted context omitted.
No one is upset that an algorithm accidentally generated some images, they are upset that Google intentionally designed it to misrepresent reality in the name of Social Justice.
You mean some people's interpretation of what social justice is.
> Social Justice.
Re: Google to pause Gemini image generation of people after issues
#608Here's the problem for Google: Gemini pukes out a perfect visual representation of actual systemic racism that pervades throughout modern corporate culture in the US. Daily interactions can be masked by platitudes and dog whistles. A poster of non-white celtic warriors cannot. Gemini refused to create an image of "a nice white man", saying it was "too spicy", but had no problem when asked for an image of "a nice blac…
There is an _actual problem_ that needs to be solved. If you ask generative AI for a picture of a "nurse", it will produce a picture of a white woman 100% of the time, without some additional prompting or fine tuning that encourages it to do something else. If you ask a generative AI for a picture of a "software engineer", it will produce a picture of a white guy 100% of the time, without some additional prompting or…
I mean, that is what this all boils down to. Better training data equals better outcomes. The fact is the training data itself is biased because it comes from society, and society has biases.
Re: Google to pause Gemini image generation of people after issues
#609Earlier quoted context omitted.
Everybody seems to be focusing on the actual outcome while ignoring the more disconcerting meta-problem: how in the world _could_ an AI have been trained that would produce a black Albert Einstein? What was it even trained _on_? This couldn't have been an accident, the developers had to have bent over backwards to make this happen, in a really strange way.
This isn't very surprising if you've interacted much with these models. Contrary to the claims in the various lawsuits, they're not just regurgitating images they've seen before, they have a good sense of abstract concepts and can pretty easily combine ideas to make things that have never been seen before. This type of behavior has been evident ever since DALL-E's horse-riding astronaut [0]. There's no training image…
I don't think "just" is what the lawsuits are saying. It's the fact that they can regurgitate a larger subset (all?) of the original training data verbatim. At some point, that means you are copying the input data, regardless of how convoluted the tech underneath.