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I'm not sure where to add this comment, but I just wanted to briefly say that I appreciate your contributions to this topic. Both in terms of content and tone/delivery. These seem like constructive and valuable comments to me, so thanks!


Wasn't 'kek' just a riff off of 'lel' which itself was a riff off of 'lol'?

I figured someone just off-by-one'd 'lel' and thought it sounded funny. top kek


In world of Warcraft, if you are an alliance race and a member of the horde is speaking to you in area chat, the text is mangled to simulate the fact that the different factions do not understand each other’s languages. “Kek” is how “lol” showed up in the chat every time. So kek became synonymous with lol.


It has a slightly longer history than WoW.

In the original Starcraft, the Korean version of "Hahaha" is "ㅋㅋㅋ". Owing to the fact that the English version of the game didn't support Korean text, the represented text of a Korean player saying "ㅋㅋㅋ" was "kekeke."

This became an early meme of sorts and caught on. Blizzard honored that in WoW by adding the kek/lol translation.


Related trivia: If you're horde and an alliance player says "lol" it comes across as "bur".


<comment reiterating that word usage changes and being a stickler for "right" definitions is a waste of time>

just because you think a term should be used one way or another doesn't mean your opinion is at all valuable. it's more useful to go with the wave of society rather than trying to imbue change on an obscure web forum.


Still valuable to point out that a number of people will not understand the sentence in the way the person intends it to be understood. In this case it's clear from context, but sometimes not so much.


[flagged]


Could you please follow the site guidelines when posting here?

https://news.ycombinator.com/newsguidelines.html


How so?


A little randomness is what made StumbleUpon so enjoyable, too. But, like the link you've shared, it too is defunct.

I spent an afternoon writing a python script that picks a random word, searches sites where weird/creative folks gather (instructables? tumblr? hacker news? are.na? i need more ideas!), and opens a random link from the search results. The word list it draws from needs some pruning, but it was a decent way to return to the feeling that SU used to give me. I was thinking of turning it into a single serving site, but my dev skills really aren't up to par yet. I don't know where I'd even start to get a basic page up and running.

It's nifty to read about a collection of services from people who had similar feelings!


For my province in particular, this sounds like APEGBC, now known as EGBC. https://www.egbc.ca/About


Hey, uh. So, I'm going to be graduating with a B.Eng soon. Any tips on how to realize my own worth? I have a tendency to let myself be taken advantage of... I mean, I'm currently doing a research internship at a computer vision lab at my uni for very little compensation (grant + departmental top-up). I told myself I was doing it "for the experience." I... I feel like I might be a candidate for the behavior you describe, so I'd like to snap myself out of that if possible. Any resources you could point me to would be stellar, please and thank you.


The best way is to interview at good companies and get offers from them. That means the usual Google, Facebook, Apple, etc. and also up-and-coming ones (Uber, Lyft, etc.). You don't even need to want to work for the company but getting an offer will tell you your worth for the future. You will need to study hard for those interviews but it's well documented online what you need to study specifically (read Cracking the Coding Interview, practice Hackerrank, LeetCode, etc.).

There's generally threads online where recent grads say what offers they've gotten from companies and websites like www.paysa.com that try to aggregate them but those are all biased.

Equity is a gamble not in your favor, read up on how many startups fail outright, how many sell for basically nothing, and how much you're going to get diluted in funding rounds. Founders will say otherwise but it's their job to sell you so don't trust them. So if you do want to gamble on a startup make sure to heavily discount the value of equity when negotiating.


Equity is literally a scam at this point because there's the stock options that they give you, the private stock they give themselves, and the stock the VCs get. You're literally last on the list to get paid and first on the list to get shafted. It's not like it used to be where stock meant everyone shared risk and reward.


> You're literally last on the list to get paid and first on the list to get shafted

Isn't that a given with equity? You're literally saying that you're a residual claimant in the enterprise. Yes, with stock options and such things you might be even "more" residual than others in the capital structure, but it's not a "scam".


The unhappiest people I know are the golddiggers. They cannot escape the feeling that they’re being taken advantage of. That the pie is so big anyways, and they deserve a little more, you know? And oh look, here comes somebody offering just a little more. What kind of sucker wouldn’t want to get paid what they’re really worth?

They’re unhappy because they let other people control their sense of self-worth.



If the company is pre-ipo then look for top 10 venture capitalists as investors (Kleiner Perkins etc). This signals a company with good prospects! You do research - if you have to, pay the money to join CrunchBase - and figure out what each share is worth in the last funding round in dollars. Sometimes it's published in news articles and sometimes in Delaware Corp filings ($$$ to retrieve; crunchbase is easier). Their offer should be market if the (stock grant) x (last funding round price/share) + your base and bonus is average for a person at your level. Check levels.fyi. check Glassdoor salaries. If it's a unicorn check the university of bc unicorn report to see if there are ratchets or preferred shares (bad for you, a common stock grantee) in previous funding rounds. Then make a guess if they can IPO. 95% of silicon valley companies cannot. I picked one that was already getting ready to file an s-1 (IPO disclosure).

My biggest mistake as a new grad PhD was local cost of living. I wanted the prestige of working at a well known university. Turns out I didn't have the safety net or family wealth to work there.

Use an online calculator to estimate after-tax take home pay. Look at home price per square foot. A good offer nationally will pay 300 sq ft of real estate (take home pay) per year. My salary has varied from 110 to 1800 sq ft per year. I quit the 110 sq ft job after 2 years I just couldn't afford it; that is unsustainable! The 1800 sq ft job was in Phoenix; one house (new) per year! My current salary is ~250 sq ft a year which sucks nationally but is good for one of the most expensive cities in silicon valley (400+ sq ft just a few blocks away in a lesser school district); I am very Senior with 30 YOE.


+1 I like your metric, $ as sq ft / yr.


Brush up on Cracking the Coding Interview, interview at the top N companies wherever you can face living, research salaries for that area (levels.fyi is good if you're in the bay area, I'm told)


That's different. Academia pays less at all levels.


I've been doing this for a while.

I just measure positives and negatives and once exceeds the other, I'm done.


I remember reading about this and liked what I saw, so believe me when I say this is coming from a supporter, but...

Why? Why here? Stop that! You could have made your point without the plug and humblebrag.


This. It feels like spam


It's a constant pattern with this user.


Hey! I'm working on exactly this same problem for an undergraduate Computer Vision course right now. It's not going well! Chess piece recognition is hard. I definitely think the electronics approach described in the other comment is a much more reliable way to go.


If you ever do get it working, I think it'll be fun to push it to over-recognize chess games everywhere, like the deepdream stuff over-recognizing animals (or whatever) everywhere.


Sounds like a blast!

Are you restricted to to a single game piece set?

This might be hugely easier if you can keep state between turn analyses. IE, if a white rook disappears from A5 and some unidentified white piece appears at C5, then it’s probably the rook.


We weren't given many constraints related to the chess piece recognition itself. The course instead asks us to implement a CV research paper, and we chose an existing research project which focused on chess piece recognition.

That lack of constraints led us into running face first into issues of generalisation and variability within datasets. As in, exactly what you allude to with limiting the piece sets.

I think in my undergraduate naivety my aspirations were too high with what could reasonably be accomplished. I've spent a lot of time trying to improve an aspect of the project that really didn't need to be improved, which prevented meaningful progress.

Now finals are coming up and I feel terribly stressed. Having trouble functioning. Brain fog, etc. I feel so sad right now.

EDIT: I keep forgetting my password so apparently I have multiple throwaway now. Sorry.


What challenges are you running into? What sort of data augmentation are you doing?


Which is a line that changes over time, I might add! It's interesting to think about how each movie on that list got there in a way that's relative to the era it was produced in.

You could choose a cutoff, sort by date, and have a pretty neat timeline of what's considered "safe".


Thank you for sharing this. As someone with ASD who feels disadvantaged by traditional interviewing, it's comforting to see more examples of companies expanding their approach.

I live in Canada, so this doesn't seem to be available to me. But, I still have a year or so until I graduate, so I think I still have time to sort out my plans.


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