notus

I don't think it was the key issue. Look at defamation suits in the US, they are notoriously hard to prove defamation. Here are some examples that highlight how hard it is for a plaintiff https://en.wikipedia.org/wiki/United_States_defamation_law#N...

It was because you have to prove defamation and nothing bad happened to the guy as a result of what Musk said, so hard to prove they were defamed.

Saying fuck doesn't harm anyone, fetishized consumer culture does.

Ever since I heard of an elderly man being trampled to death on Black Friday the whole holiday makes me sick. I just don't purchase anything (except utilities I guess) on black friday. I wish traditions like this would die.

Bing is really good for porn for some reason

That's a terrible plan considering any one of their competitors could not raise their own prices and now be a preferred choice to Uber.

It looks interesting at least, It's hard to tell how gimmicky it will be though. I've felt like a lot of VR experiences I have had felt gimmicky. Some of my best VR experiences have been more in line with games like beat saber rather than story driven games. I'm also the type of person that pretty much exclusively plays story driven games so I want to like those experiences in VR but they just feel kind of off to me and not relaxing.

No, inequality would skyrocket. The most able people are those who are usually most privileged because they've been groomed their entire lives to go off and be useful.

Knew it was going to be mturk. I did mturk in college writing product reviews for international companies. It was like 5 dollars for 300 words usually.

Mturk seems like a great way to create datasets as well, there are a lot of stories of people creating datasets with mturk jobs however you will need some type of algorithm for filtering out people who are just clicking to get through things and not really labeling anything.

Sponsored by Gitlab.

I recommend asdf for version management if you use more than one programming language

It's also a combination of drug management. Almost all competitive athletes at a high level use some type of steroids in off seasons.

I think of it kind of like TripleByte which I see as an automated phone screen

It's my understanding that with the creation of resuscitation methods and life-support systems that clinical death was already redefined to include cessation of brain activity. If they were not put on life support for example they would meet the definition of death through cessation of respiratory system and heartbeat. Pretty sure this guy doesn't have a leg to stand on.

If you're not averse to working for startups there are a lot of opportunities out there. I actually got rejected by gitlab and then got an offer from a startup for more money than I would have gotten at gitlab. There's quite a few remote first places out there too like Duck Duck Go, Mattermost, Zapier, Auth0, Automattic, Stripe just added a remote division but not remote first, Invision, just off the top of my head. I get changing jobs is full of uncertainty but don't sell yourself short either, the market has changed quite a bit probably since you were last actively looking.

There are A LOT of remote jobs. As someone who just went through a job hunt for remote positions, there was pretty much a constant supply of opportunities. However, most of them are startups. There is definitely a lack of established remote first companies with 200+ employees.

I think it was implied that I meant heuristics that humans have added themselves. The point of it all is to allow models to make generalizations about things it hasn't seen before. This can be done with a combination of supervised and unsupervised techniques.

Except nobody would train just on parallel lines. They use a wide array of different types of data so the model can make generalizations about things it hasn't seen before.

> Machine learning only learns how to categorize things into predetermined categories.

This is just one type of machine learning called classification, there are others like regression and clustering which can be combined to create more robust models. Look at the technology behind Cylance's product which identifies files as malicious or not pre-execution. They are not just using classification.

> Security is always reactionary, you can't defend against an attack you've never seen before

Yes you can, that's part of the appeal of applying machine learning to security. They don't rely on things like signatures or existing heuristics to identify things as malicious.

Exactly, this is mostly a gimmick. It works in specific situations, but isn't robust and won't stand the test of time.

Seems only shitty if they are recruiting you to place your friend. Otherwise it could be read as, "hey these two developers seem to like each other and have worked together and we need more people". It could feel like a safer bet to hire people you know will get along.

Having a disproportionate amount of wealth while others can't even meet basic physical needs in the same country.

I haven't had a reference check in a long time. The last company that asked for them didn't even check them. Any hiring people out there feel that reference checks provide any meaningful insight?

I agree that it is probably impossible to account for a lot of edge cases, but then that means there should be more generalized methods for recourse when people feel that the law hasn't accounted for their situation. It sounds like the courts in this situation were just deferring to existing law rather than realizing there is an issue with it and addressing it.

I have luckily never been caught in one of these kakfa-esque bureaucratic traps before, but I don't know how people hold it together when they do get caught in it. It seems like there isn't any thought being put into possible edge cases for policy and here seems to be little recourse for people to get out of it. Everything about governments just feels like this wall of indifference, from interactions at the DMV to policy being created. Just thinking about it makes me a little crazy. It is so inhuman.

html/css/javscript/backend language of your choice/database of your choice. There are plenty of shops out there that kind of capitalize on people breaking into the field and will pay them lower than industry standard for a few years until they go off to a regular company. Below the industry standard is usually more than what people were making before though so employees are grateful.

In my experience at work and especially from observing managers it seems like people are afraid to offer this type of advice. They are concerned how people will interpret this type of feedback IMO. I think this is true for any type of criticism. I have only received meaningful feedback from managers a few times despite needing it a lot more and it led to me developing more slowly as an engineer.

I'm aware :) the person I was responding to is not using typescript

right but the person I was responding to isn't using typescript, they were just considering it. For a non typescript user lodash get would be fine.

If someone commits securities fraud I don't think robinhood is the one who has to take them to court, isn't that handled by third parties that will involve themselves regardless of whether or not robinhood wants them to?