Earlier quoted context omitted.
At least this is relatively innocuous. Until recently if you did a Google Image Search for "person" or "people", it only showed white men.
I couldn't quite believe your comment when I read it so I did a Google image search for "person" and the results weren't a lot better than you'd suggested. Mostly white men, a few white women, a very few black women, a handful of Asians, and multiple instances of Terry Crews. The net result of that Google search, combined with the "Shirt Without Stripes" repo, leaves me even more unimpressed with the capabilities of…
Shirt Without Stripes
261–270 of 639 posts
Re: Shirt Without Stripes
#262The point that the author is making, in a very understated way, is that all three companies have PR websites that breathlessly describe their advanced AI capabilities, yet they cannot understand a very simple query that young children can.
At least this is relatively innocuous. Until recently if you did a Google Image Search for "person" or "people", it only showed white men.
I never figured out what kind of mistake could have led to that.
Re: Shirt Without Stripes
#263Why should it not be possible to solve this with statistical methods? The model just needs to be able to understand the important meaning of "no" in here, in the context of the whole sentence. I would guess that most modern NNs from the NLP area (Transformer or LSTM) would be able to correctly differentiate the meaning. The problem is, I think there is no fancy NN (yet) behind Google search, and the other web searche…
"there is no evidence of cancer" and "there is evidence of no cancer" are two different statements with different meaning, so it's more complex a task than just understanding the importance of "no" in a sentence. It's involves semantic analysis of the sentence. The paper I linked to below describes a technique they call "deep parsing." Check it out for more context.
Re: Shirt Without Stripes
#264Earlier quoted context omitted.
That is an inclusive search though. What if the user actually wanted to simply exclude stripes but wanted to see polka dots and paisley?
I think that is probably not a common enough use case to optimize for. Additionally it would be easy for a user in that position to just search "shirt" and ignore the occasional striped one, or to search "polka dot" and "paisley" seperately
Re: Shirt Without Stripes
#265Earlier quoted context omitted.
I think it's disingenuous to say "the web is basically google's adversary" when Google AdWords is the reason so many pages fight for top ranking.
Well sure, but I was hoping my narrow meaning would be clear: the search team operates in an adversarial environment.
Re: Shirt Without Stripes
#266This problem is known as "attribution" - you have a "no" or "without" in the sentence, but you don't know where it belongs. One could (and one does) argue that the problem cannot be solved with statistical methods (ML), especially not in any domain where accuracy is required, such as medical recored analysis: "no evidence of cancer" and "evidence of no cancer" are very different things. Zooming out, the language fiel…
I'd be curious to see how many sentences with attribution problems actually have other structural issues. If I want to write clearly and without ambiguity, I rewrite sentences that have these problems. Why wouldn't I do the same for search queries?
Re: Shirt Without Stripes
#267Earlier quoted context omitted.
At least this is relatively innocuous. Until recently if you did a Google Image Search for "person" or "people", it only showed white men.
A former coworker had the last name "Person". They once received a letter (snail mail) addressed to "TheirFirstName Human". I never figured out what kind of mistake could have led to that.
Re: Shirt Without Stripes
#268Earlier quoted context omitted.
At least this is relatively innocuous. Until recently if you did a Google Image Search for "person" or "people", it only showed white men.
I couldn't quite believe your comment when I read it so I did a Google image search for "person" and the results weren't a lot better than you'd suggested. Mostly white men, a few white women, a very few black women, a handful of Asians, and multiple instances of Terry Crews. The net result of that Google search, combined with the "Shirt Without Stripes" repo, leaves me even more unimpressed with the capabilities of…
"Person without stripes" shows several zebras, tigers, a horse painted like a zebra, and a bunch of people with stripes.
Re: Shirt Without Stripes
#269Earlier quoted context omitted.
I disagree, "shirt without stripes" is an unusual word choice, not one that our ML models would be optimized for. Try "solid color shirt" and you'll see how much better the results are - at least on Google.
> "shirt without stripes" is an unusual word choice Lol what? These are words a toddler would understand.
Re: Shirt Without Stripes
#270I have noticed in the past few years google results have become noticeable worse for similar reasons. Google used to _surprise_ me with how good it was able to understand what I was really looking for even when I put in vague terms. I remember being shocked on several occasions when putting in half remembered sentences, lyrics, expressions from something I had heard years ago and it being the first! result. I almost…