1,511 karma · joined February 25, 2014
Not to mention that there will still be plenty of valid use cases for ICE cars in 2030. Need to go anywhere without the charging infrastructure? Need to travel a long distance? Need to travel in an emergency like a blackout?
The other part which is just kind of sad is that this is another nail in the coffin for the hobby of building and modding cars. Parts supplies will dry up and working on older cars will just become more and more prohibitively expensive. It’s already happening. To be honest when a car is just another computer it ceases to be interesting.
According to this [0] boys have a 4x higher chance of being diagnosed with ADHD than girls. I think you would have a very difficult time arguing that that's because of how we socialise boys.
[0]: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3101894/#:~:tex....
0: In the Bitcoin protocol a transaction which generates new coins and issues them to the miner of a block is called a coinbase transaction.
I always wondered why the FAANG companies don't move their main campuses to somewhere with a lower CoL (call it CoL') so they only need to pay $(CoL' + X' + Y) to keep the employee. Paying X' (where X' probably less than X) because they're no longer in local competition with the other companies. I wonder how long it would take to recoup the cost of moving the company in savings on compensation. There are countless places which have better quality of life than the Bay Area, while also having lower CoL. I chose to move to the Bay Area because Y was greater than what I could get anywhere else.
Math _is_ neutral.
Algorithms _are_ neutral, and are simply instruction sets for operating on data.
Data is certainly be biased, but any researcher, designer, engineer, etc. worth their salt will try to minimise the inherent bias.
Machine learning is basically brute-force statistics on data. Or alternatively, iterated application of an algorithm on data. In and of itself it is neutral. Any apparent bias in the results will almost completely be a result of bias in the data, _not_ the design of the algorithm.
All of these (except data) are tools. What we should be worrying about is the specific applications of these tools. Which, I agree, should be subject to some sort of ethical review before widespread use.
Stop trying to drag math and algorithms into this political quagmire, and instead focus on the actual problem. We don't outlaw knives because they are still incredibly useful tools. We outlaw stabbing people.
1) Find one of the input addresses for the transaction(s) you sent to the scammers
2) Use that address to sign a message like "alexander1100 owns this address" (but use your legal name) to prove ownership of the address.
3) Attempt to follow up with the FBI about recovering your lost funds. This is the step that you will have the most trouble with.
Good luck.
It seems pointless at best. Downright evil at worst.
https://jeremykun.com/2014/02/08/introducing-elliptic-curves...
It's really quite saddening to me that some classic cinema is essentially dead, completely inaccessible.
I eventually found Mubi, which is a relatively cheap arthouse movie streaming/rental service. So at least I have that for now. Until they go out of business because they're not popular enough.
I don't think it should be considered unlawful termination. Someones behaviour outside work definitely has an impact on the business they're a part of. Unfortunately, whether we like it or not, SW has a very real stigma attached to it that could hurt the business reputation. That's a risk the business must take into account. It's like if someone were to attend white supremacist rallies on the weekends. It may not directly affect their ability to perform their role but I suspect we'd agree that it's justified if a business terminated someone for that reason.
Reputation is one aspect, but another aspect from a business perspective that I haven't seen discussed too much is the effect it could have on coworkers' performance. Say a woman has an OnlyFans and somehow her male colleagues find out. It would be at least a little bit distracting for them and could cause their productivity to drop. This is again a liability the business has to consider.
I'm not saying the stigma or termination is _right_ or _just_ in this case but it's just the reality of the world we live in and it will take generations to change that.
EDIT: To add a little bit about the sexual harassment aspect. I'm not sure where I fall on this. Say a woman works a side job as a stripper and one of her colleagues accidentally visits the strip club where she works. I would say it's not sexual harassment to visit the club the first time when they are unaware she works there. However if they were to solicit a private dance from her then I would consider that sexual harassment. I'm not sure exactly how that relates to viewing someones photos online accidentally vs paying for their only fans but I think it's somewhat similar. And what about repeatedly visiting the club/public photos? Visiting the club again probably is harassment depending on whether or not she is working that night but viewing the photos again probably not if she's not aware of it. It's a pretty large grey area with this part and it's difficult to form a solid opinion or even a rule without assessing things case-by-case.