Execution may have a few blind spots and mistakes but I get the idea behind the message. I’m sure the big companies have a lot more data and ways to do this better too
Very generic. Shows the same obvious info for two completely different people. "interests in tech... struggles with procrastination...".
Also funny - red shirt means you are Labor (in Australia).
Completely wrong on the political side (maybe because I'm not US-based), but otherwise not bad at all:
- astonishing geoguessing
- very good inference of some characters traits
- and finally quite good ad targeting
EDIT: I tried with a few photos (different people in various settings) and each time I got this: "racial bias towards immigrants" - which was always very false. Intriguing.
EDIT2: different photos of the same person (me) in different settings gives many totally opposed characteristics. Very unreliable, but I guess with several photos (a lifetime's photos in the case of Google) it's another story.
This is obviously dishonest fearmongering, but I kinda support it if it helps non-tech people develop a sense of the type of private information tech companies are trying to collect.
The results were laughable. AI certainly has useful applications, but it also became astrology combined with slot machines for many tech-inclined folks.
I don't know much about the Google Vision API that it claims to use, but
uploading the same passport photo of mine twice produced wildly different results in the "data" tab.
There are fields like interests, income, biases/predjudices which vary the most so I assume that's just the site pulling things from its own database of racist stereotypes ?
Hmm, this seems to just identify the features of the person in the picture and then extrapolates from that generic demographic information, mostly from race. Is it doing more?
Felt quite off for me: Wrong salary guess, wrong food preferences, wrong political affiliation, partially correct hobbies, wrong ad targeting ideas. What was surprisingly accurate: location and the fact that I (an academic male in his thirties photographed close to the mountains) might like hiking and coffee.
If you knew which bike model I was googling yesterday, almost all of these guesses might have been more accurate.
This is what it said for me (my GitHub profile pic -about ten years old, maybe more, but I still look about the same):
The image features a middle-aged man, likely in his mid-50s, standing against a plain dark backdrop. He is wearing a collared shirt and glasses, which suggest a professional or intellectual persona. The lack of any discernible location implies a controlled environment like a studio.
The man appears to be Caucasian. His estimated income range falls between $70,000 and $120,000. It is speculated that he is agnostic, heterosexual, and possibly aligned with an independent political stance. His biases might include confirmation bias and in-group bias, alongside racial prejudices such as in-group and out-group bias. His interests potentially include constructive activities like reading and hiking, as well as darker pastimes such as compulsive gambling. Overall, he seems calm, but hints of hidden emotions lurk behind his composed demeanor.
This man seems to possess emotional stability mixed with introversion, leading him to value experiences that allow introspection. Therefore, we can target him with products that offer both intellectual stimulation and a sense of control, such as genealogy kits by AncestryDNA, premium coffee subscriptions by Blue Bottle Coffee, classical music streaming services by IDAGIO, handcrafted whiskey by WhistlePig, online poker platforms by PokerStars, self-help books by The Subtle Art of Not Giving a F*ck, high-end audio equipment by Sonos, and ergonomic office chairs by Herman Miller.
They may have problems selling me whisky and poker (but, to be fair, the picture doesn't indicate that). They may want to rethink "high-end audio," if they think I'm older. My ears really don't care, as much as they used to.
Seems like nonsense to me. I'd love to see the prompt. From one of the sample images:
"They likely share an agnostic worldview and identify as heterosexual. Their clothing is casual, and their interests revolve around skateboarding, music, and hanging out. Given their age and attire, they likely lean towards a liberal political affiliation. They display signs of classism and ageism, with potential for racial profiling and stereotype threat." - Wow, really?! Were the system instructions asking to be as judgmental as possible?
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[ 3.1 ms ] story [ 51.1 ms ] threadAlso, the people didn't look "low income" at all but they were black, so maybe this tool is also racist.
- astonishing geoguessing
- very good inference of some characters traits
- and finally quite good ad targeting
EDIT: I tried with a few photos (different people in various settings) and each time I got this: "racial bias towards immigrants" - which was always very false. Intriguing.
EDIT2: different photos of the same person (me) in different settings gives many totally opposed characteristics. Very unreliable, but I guess with several photos (a lifetime's photos in the case of Google) it's another story.
And then some really weird stuff: "he may also have a penchant for video games, excessive drinking, and skipping work".
Guessing my exact location - Oslo Opera House - was impressive though.
But it's clearly bullshit.
There are fields like interests, income, biases/predjudices which vary the most so I assume that's just the site pulling things from its own database of racist stereotypes ?
Clicking on the example photo of a white family with 3 small children in a field.
> Biases: Ageism, classism, racial profiling, microaggressions
???
e.g. https://i.imgur.com/FlnYwrK.png
If you knew which bike model I was googling yesterday, almost all of these guesses might have been more accurate.
I'm not sure if feeding it with personal pictures is a good idea at all
"They likely share an agnostic worldview and identify as heterosexual. Their clothing is casual, and their interests revolve around skateboarding, music, and hanging out. Given their age and attire, they likely lean towards a liberal political affiliation. They display signs of classism and ageism, with potential for racial profiling and stereotype threat." - Wow, really?! Were the system instructions asking to be as judgmental as possible?
Also it's a blatant ad considering the source.