haditab

Although I’ve never tried it, I can’t imagine it would be that difficult to find an editor for the specific language to take a look at it. I doubt they need that many hours of work from the editor for it to be a significant expense.

I hear this claim a lot, especially by Apple brand enthusiasts, but is there really any data supporting this?

From my memory Apple is just often late to the party. Especially for 4G and LTE.

Friend of mine has had great success blocking the ads with pi-hole.

Totally off-topic, but which phone had 5G in October 2019?

How did you feel about the project being shut down? Did you feel like you still had work to be done or was there a feeling that this just isn't going to work?

I don't think anyone is arguing that taking MOOCs and taking classes in person are exactly equivalent. I think the argument is that you may be able to get what you wanted by taking the correct online classes and not attending college (which is incredibly expensive).

From my personal experience in academia, both as a student and as a lecturer I honestly think most students don't really benefit from being present in person.

Also, about the inroads to places like FAANG, almost all of those companies require you to go through the entire interview process even if someone recommends you and landing interviews isn't that hard. I actually know plenty of people who self-studied their way into those companies without degrees.

If you do manage to stick to the program and go through everything on your own (which requires an incredible amouunt of discipline) in my opinion the biggest issue you would face right now is bias and stigma.

You may want it to be an active experience, but it will only be an active experience for those who choose to actively participate. Some students just don't learn that way and likely won't actively participate even if they show up to class. Those who want to actively participate will show up to class even if they have the option not to. There are other forms of getting feedback and interacting with students. Email and office hours for example. Also, I disagree that textbooks are faster. Maybe they are if you are an expert in the topic, but if you are not (and hence taking a course on it) in my experience the average lecture is still easier and quicker to learn from than reading the textbook (except for exceptionally well written textbooks).

I was one of those students who didn't learn by actively participating and I always felt like I had trouble learning in class. The school I did my PhD in started using online tools for some of the courses and I found that I learned way better when I watched the online lectures. A big issue I always had in class is when the lecturer explains something that is obvious to me in great detail, or just speaks slowly in general I find myself daydreaming and once I snap out of it I may have fallen behind and not be able to follow the rest of the lecture well. Online lectures at 2x speed are way more interesting for me and I almost never daydream. If I feel tired I can pause for a couple of minutes and stand up and stretch or walk around the room. If I miss a detail I can go back and replay it again. I would still attend office hours and email the professors though. What I learned from the online lectures also stuck with me much longer.

At the end of the day, students are paying an enourmous amount of money to learn, and I feel it shouldn't matter if the way they learn it by not showing up to class. Especially if they learn it better by not showing up to class.

Why is there a need to blame anyone? The goal is for students to learn, not that they show up in class out of duty. If they found a more efficient way to learn from the class that involves not showing up in person, I think they should be encouraged to do it.

I believe this is exactly why pjreddie quit computer vision research. It must kill him to see such projects based off of his work.

As someone who recently switched to Sony from Canon; I don't recall ever having to 'learn' the menu layout with Canon. It was just pretty obvious. I'm 100% sure that I never read the user manual and I never googled how to find anything in the menus.

The Sony layout on the otherhand is just terrible. Sure, you can customize all the programmable buttons and menus and it gets much better, but it still takes a long time to learn. Also, had to watch a ton of youtube videos of people changing settings on their camera (the fact that there are so many for Sony cameras should hint to how terrible the menu is).

From experience I would say running the OSS project is definitely harder, but the type of person who is capable of making a successful OSS project is not the type of person who can chain themselves to a chair for 3 months and practice interview questions. Studying for FAANG interviews is arduous and extremely non-rewarding. It is like the extreme opposite of an OSS project, where you put in the same hours and have exactly nothing to show for it.

Portrait mode in Pixel2 did the same thing and imo opinion worked better than portrait mode in the dual-camera iphone 7 plus (I know iphone 7 plus is older but that's the only dual camera iphone I had access to at the time).

Sprint CEO is not staying on as CEO of the merged company. T-Mobile's COO is.

Well, the students didn't "join" the union. The union has been in place for many decades (likely since before the students were born).

I acknowledge the issues in the dataset and that it has a lot of stars on github because it's from Udacity; but calling it 'a popular self-driving car dataset' is misleading as it implies this dataset is popularly used for self-driving cars when it is in fact only a small dataset Udacity uses to teach the basics of training neural networks for self-driving cars.

I've been involved in the autonomous vehicle industry for a while and have been focused on perception for most of it. Most research papers will test their models on popular datasets for self-driving cars and show the results as a sort of benchmark. I've never seen this dataset mentioned anywhere. Heck the size of the dataset is an order of magnitude smaller than most of the popular ones as well.

This is just a github repo. That's it.

I believe the official statement from Iran was that it was shot down by human error.

What are the "moral checks and balances and pressure from the voters" in the west?

As a voter in the west I don't recall ever hearing candidates talk about Africa (although I haven't necessarily been looking out for it and may be a bit too young depending on when it happened).

I was surprised that they were not already doing this.

That's impressive. As someone who works in Robotics, I rate them very highly. Does it cost the same for international students?

Yup.

I think they are mainly paying for the data from the last 10 years and the fitbit users.

Nothing prevents you, but keep in mind options are an option to buy at a strike price that is generally non-trivial. By exercising early you're basically doubling down.

These guys are making an apple picking robot that's pretty bad ass: https://www.abundantrobotics.com

I have no idea how loud these things are but I suspect that they would be less noisy than a typical UPS/Fedex truck.

I have no numbers but if executed properly it should reduce the number of people required in the total delivery process and it should in faster delivery.

I wonder why they don't use this argument to advocate gun control.

Last I heard Microsoft still have it's engineers individual offices.

Not sure what you mean by similar. tildes.net is similar in some ways.

In general it's very difficult to interview in a way that would give insight into previous work experiences at a practical level. Every interviewee will have their own unique experiences and even though they may all have similar backgrounds, designing an interview question that would be general enough to gain insight into all of their experiences is nearly impossible. I've interviewed at places that attempt this and I've never felt that it worked out the way they were intending it too. They usually become too specific to the ideas/experiences of the person who designs the question.

I think algorithm and data structure problems can be useful if used correctly. I think the main issue is that most companies tend to use leetcode style problems which are a bit more on the brain-teaser side and are often usually harder to solve if you haven't spent a significant amount of time solving such problems. These questions might make sense for super competitive positions at places like Google where they can afford to reject good candidates, but at most companies it doesn't make sense. I think simple problems that involve working with the same data types required at the job would suffice. The purpose of the question should be to screen out candidates who can't solve them, not to judge how good they are.

And if an aircraft flies over your property you could get charged with a federal offense (pointing a laser at an aircraft).