Live data from Hacker News

Ask HN: What was your favorite comment in 2020?

news.ycombinator.com

21–30 of 42 posts

Re: Ask HN: What was your favorite comment in 2020?

#21

> On the way home from last day of school before summer holidays I saw some bird chick on the ground, next to a closed wall of bricks, on the walkway, between one-way street with heavy traffic and a steep hill on the other side... https://news.ycombinator.com/item?id=24002955

Wow. I would gladly buy a whole book of bird stories, or really stories about anything, from this person.

Re: Ask HN: What was your favorite comment in 2020?

#22
> As someone who has personally had to use Alteryx in multiple projects, fuck Alteryx. What an absolute garbage piece of software.

I've already written a rant about it before and I don't have the energy to repeat myself, but do not fool yourself into thinking switching from excel to Alteryx is doing yourself any favors. You're just trading one monster for another.

Save yourself a huge amount of money, not to mention your sanity and just take the time to learn some Python, Julia, literally anything else to get the same results faster, more reliably, and not be locked into that noveau Oracle-esque nightmare.

https://news.ycombinator.com/item?id=24791017

Re: Ask HN: What was your favorite comment in 2020?

#23
post #4

From https://news.ycombinator.com/item?id=22045384 : > I sometimes find myself thinking, "why would you do that!?" and that's when I realize that what that really means is I'm the one who's not understanding something. I should be asking myself, "why would they do that?" This is my favorite because it’s simple, but so powerful. I’ve tried to stick to this advice since I saw that comment. And I think it has made me ki…

We've all become critics and no longer appreciate the world around us. Becoming aware of the social fabric and the associated norms can be daunting initially but also strangely fulfilling once we learn to recognize them. I've used similar logic as a designer to first understand why things are designed the way they are before impulsively recommending how things could be done better. It's a fine balance between recognizing chaos and channeling it for sustainable benefit.

Re: Ask HN: What was your favorite comment in 2020?

#24
One category of comment I find particularly interesting are personal reflections on career experiences. Here are three:

“... As I became more senior and had junior employees working alongside me, I could see how quickly they would get frustrated when they couldn’t perform at my level. ...”

https://news.ycombinator.com/item?id=23861738

“... I spent years at a time not working or even thinking about how to make money. ... I can tell you that for me personally I don't think it was ideal. ...”

https://news.ycombinator.com/item?id=23947858

“... I knew years before finishing [my Ph.D.] that I was just not cut out for a life in academia, and positioned myself in the best way I knew how for a life in industry, but I did not anticipate just how truly painful the experience would be. ...”

https://news.ycombinator.com/item?id=25446582

Re: Ask HN: What was your favorite comment in 2020?

#25
post #2

Perhaps not the most insightful, but definitely my favourite: > I'd rate the news as "vibing" on a scale of clickbait to party for the world - https://news.ycombinator.com/item?id=25035508

I didn't want to comment while this post was doing the front page but your comment made my day yesterday thank you

Re: Ask HN: What was your favorite comment in 2020?

#26
post #25
post #2

Perhaps not the most insightful, but definitely my favourite: > I'd rate the news as "vibing" on a scale of clickbait to party for the world - https://news.ycombinator.com/item?id=25035508

I didn't want to comment while this post was doing the front page but your comment made my day yesterday thank you

I got a lot of joy from your assessment so likewise

Re: Ask HN: What was your favorite comment in 2020?

#27
post #18
post #4

From https://news.ycombinator.com/item?id=22045384 : > I sometimes find myself thinking, "why would you do that!?" and that's when I realize that what that really means is I'm the one who's not understanding something. I should be asking myself, "why would they do that?" This is my favorite because it’s simple, but so powerful. I’ve tried to stick to this advice since I saw that comment. And I think it has made me ki…

That question doesn't get asked enough. I'm tired of getting downvoted with no comments. I'm tired of people not understanding the subtleties of my positions and arguing against me just based on a communication issue.

I would even say that if you're not frequently getting downvoted with no comments, then your comments are harmfully not enough contrarian. If only there could be a webextension that would act as a meta recommender-system for HN comments that would highlight such sufficiently contrarian authors then I could quickly, heuristically read those more than average, valuable comments.

Re: Ask HN: What was your favorite comment in 2020?

#28
post #18

Earlier quoted context omitted.

That question doesn't get asked enough. I'm tired of getting downvoted with no comments. I'm tired of people not understanding the subtleties of my positions and arguing against me just based on a communication issue.

I would even say that if you're not frequently getting downvoted with no comments, then your comments are harmfully not enough contrarian. If only there could be a webextension that would act as a meta recommender-system for HN comments that would highlight such sufficiently contrarian authors then I could quickly, heuristically read those more than average, valuable comments.

You can just scroll to the bottom. That's where all the downvoted comments go.

Re: Ask HN: What was your favorite comment in 2020?

#30

>Neural nets share as much with biological brains as decision trees do with forests: nothing at all.

They do share some concepts to some extent, approximately. Notably the idea of activation function and of backpropagation. But yes clearly they're too different in most cases to make valid analogies between them.

It's still an open question why we can't port a biological neural brain on regular CPU (a neumomorphic system) One could say it's because emulating a brain (e.g Blue brain) require too much compute and/or that we lack observability (we can't easily records all the state data that constitute a brain) but that doesn't preclude emulating a simple brain such as the one of c ellegans (302 neurons whole nervous system!!) and I've never met a satisfying explanation as to why this is so hard and where can I track progress on this task.

Post reply on HN