That's reasonable. I may have taken the initial text in the wrong context. Thanks for clarifying.
To expand on my prior comment of "Fuck x group", perhaps the tone of prior tweets by Timnit Gebru short-cut me mentally, namely this one: https://twitter.com/timnitGebru/status/1274809418475950080
> Even amidst of world wide protests people don’t hear our voices and try to learn from us, they assume they’re experts in everything. Let us lead her and you follow. Just listen. And learn from scholars like @ruha9 We even brought her to your house, your conference.
It strikes me as very unprofessional, and frankly I believe her anti-white bias shone through in that instance.
Racism is racism, even for "good" purposes.
Personally, I don't think either indicate racism. I see the link you tweeted as an excessively abrasive response at a dismissive and reductive understanding of an issue, bias in learning system, despite research old and new. At the same time, I see LeCun's dismissal as a genuinely held position in error.
To see the first as racist but the second as okay seems to be a case of being much more charitable to one side than the other, though I understand how it may look this way.
That statement is contained in a paper I linked that dates from 1980. I'm pretty sure it's factually correct, because I'm trying to make nothing but a demonstration that an idée reçue, that ML systems are only based due to their data, is incorrect.
There's really no cloaked message behind it, and I'm not sure why one would think there is (hence the disclaimer). I think it's a pretty uncharitable interpretation.