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macleodnine

"(I find it sad because to me it’s turned a serious movement for which very brave women had to fight hard into a joke.)"

What you're seeing there is an effect of the internet, not an effect of shifts in feminist movements. The internet gives everyone a place to speak which is great but the loudest/most astonishing/most disruptive voices are the ones that come out on top. Not the majority, not the thoughtful, not the ones who take action, not the voices who would like to have a conversation. If you dive past the surface I don't think you'd find modern feminism a joke and think that it has grown and matured. But I'm just one opinion

They have those in Prague too, many European cities have them
Re:Is Marijuana as Safe as We Think? on Monday January 07, 2019 @11:11AM (#18846346)
This is "WhatAboutism". Not all dangers are equal and therefore should be treated differently. In society we try to limit danger to whatever we think is an acceptable level (which is totally made constantly up for debate). Saying that the universe is dangerous and so any other danger is irrelevant doesn't hold.

I'm not really expressing an opinion on weed or anything, just the flawed logic.

Re:John Giannandrea named to Apple’s executive team on Thursday December 20, 2018 @06:38PM (#18730248)
Haha nvm made the connection... r/whoosh
Re:John Giannandrea named to Apple’s executive team on Thursday December 20, 2018 @06:37PM (#18730245)
For the rest of us, who is JG?
I agree, and Preact is fantastic! Not only is it very fast and light, but so is the community
Could you elaborate on the different use cases for each? I don't know enough about vue to spot them myself
Re:Ask HN: Who is hiring? (December 2017) on Friday December 01, 2017 @02:27PM (#15826533)
What does the (m/f) mean?
Do you have a link or title? Sounds interesting
Re:Why Deep Learning surprises me on Saturday August 26, 2017 @04:47PM (#15107355)
To me the recognizing of the letter is a whole lot more impressive than knowing facts about it (If we're talking about OCR).

In your example a computer could very easily learn those simple facts, just like you did. It's nothing to tell a program how to classify a piece of data. You didn't use some crazy learning when you attributed A to being part of a Latin alphabet, someone just told you that fact and you saved it and classified A into the Latin alphabet.

Re:Why Deep Learning surprises me on Saturday August 26, 2017 @04:38PM (#15107299)
I whole heartedly agree with this. I think your first paragraph sums up what the majority of people are missing.
Re:It's Never Too Late to Learn Guitar on Monday August 14, 2017 @11:19AM (#15009258)
^This exactly
Re:Scientists Edit a Dangerous Mutation in Human Embryos on Wednesday August 02, 2017 @05:17PM (#14914746)
What? Maybe if you only count the costs of someone on their deathbed. Someone who requires Care their whole life definitively costs more than someone who doesn't