frakt0x90

I would strongly recommend starting with an engine like Unity. You can prototype and get something functional SO fast. It's extremely rewarding and keeps in the dopamine loop. There's not sense in struggling through OpenGL to build an engine from scratch unless that's what gets your rocks off or you have an explicit need for it.

To some extent. My wife is about to finish her PhD. She's not even a top-level publishing academic and the amount of work she's had to put in for next to no pay (sometimes literally no pay) is insane. Hard work is great and but there is such a thing as too hard and I would argue academia takes advantage of some of the hardest working and most qualified people in the country (I'm in the US).

When I was a data scientist, my boss told me a promotion was in the works for a year before I stopped believing him and left. I'm now a Sr ML Engineer. It's a megacorp so I was willing to believe budgets had to be approved and HR paperwork filled out. Over a year is excessive though.

Similarly, I was once told I could have a promotion if I promised to stay for a year. I declined and found a better job within a month. Same company.

NileBlue (NileRed's second channel) has a view videos on cleanup of various substances.

https://www.youtube.com/@NileBlue/videos

I don't know what any of this means but making it up in my head comes up with a pretty amusing scene.

At least with Google you have sources you can trust more than others whereas ChatGPT is a black box

Just as a reminder, this is the same company that oversaw this fiasco.

https://www.dailymail.co.uk/news/article-9629695/Citizen-CEO...

Not strictly computer science, but I love this animation of a Fourier Series and I show it every time I have to explain it to somone

https://en.wikipedia.org/wiki/Fourier_series#/media/File:Fou...

At least in Texas, yes. Kind of a funny story how it ended

https://www.chron.com/news/houston-texas/article/Last-meal-r...

I agree with you. The argument I've heard is that Gates used to be just as much of a shark as any of the others back in the 90s/early 2000s but spent a lot to reverse his public image into a philanthropist. While that may or may not be true, it's certainly true that he does an extraordinary amount of charity with his money now in contrast to most of the others on the list.

This reminds me a lot of R's dplyr which is by far my favorite data manipulation suite. I have never enjoyed pandas even though I use it every day. This project is one of the few SQL offshoots that I actually hope succeeds. Well done and may you find your way to the hall of the data kings next to dplyr and ggplot.

I personally have not, but I've seen many posts on here over the years of people leaving for woodworking specifically. In general, I find being able to make something physical that you can touch is very satisfying. I imagine that's part of it.

Who cares? It says Oxford University Press which is the important part. The little image above it is just fluff and literally doesn't matter. I certainly wouldn't call it 'unfathomably bad' considering it's not a child's drawing or a some obscene gesture.

If you click on their pictures, it takes you to a list of talks. Not obvious at all. https://bangbangcon.com/speakers.html#aki-van-ness

A bit off-topic but if you're interested in some modern players that make heavy use of alternate tunings, I strongly recommend Ichika Nito and Yvette Young (Covet). Ichika has tons of videos of him playing in the weirdest tunings and it's quite entertaining.

It says he's a youtuber so it may be his job.

It reminds of that study recently that found dead troutcan still "swim" in water currents. Perhaps these birds have similarly incredible geometry that allow them to fly without exerting energy

https://fyfluiddynamics.com/2018/07/when-i-was-a-child-my-fa...

The city of Denton TX recently signed a huge deal to allow a mining company (Core Scientific) to set up a large GPU mining facility directly next to their powerplant to make up for lost revenues during the winter storms. I'm wondering what's going to happen there. It seems like they mostly mine BTC but this can't help their bottom line.

Agreed the article doesn't make it clear. I know companies like Netflix have built knowledge graphs of their products which they create embeddings of to feed to ML models which helps them make better recommendations. NASA also built one to ease search of safety information when building new things.

https://netflixtechblog.com/supporting-content-decision-make...

https://neo4j.com/blog/nasa-critical-data-knowledge-graph/

The recreations are absurdly western sounding. The middle east has a long history of not using 12-tone equal temperament scales of Europe and while it's somewhat interesting to fantasize what it would sound like in the common current context, it seems a little white-washing and disingenuous.

You can get more info here for example: https://youtu.be/Kr3quGh7pJA

At least with VBA people are probably scarred by having to modify auto-generated macros, the atrocious error system, GOTOs, and the terrible excel IDE.

On a related note, on mobile if they try to make you install the app to view some content, you can just "request desktop site" and that will bypass the block. It's annoying and breaks a lot of the formatting for mobile, but if you're just trying to read something or watch a video, it works in a pinch.

Is this more than a preprint? Usually really long research like this takes a long time to verify, like that guy who claimed to solve the abc conjecture. The article talks about it like everyone agrees this is valid, but is it?

The only IDE I've every changed the default font in is Teradata SQL Assistant because the comma was one pixel different from the period and it would confuse me constantly. I'm always a little surprised people are so into coding fonts.

I agree with the skepticism in the comments but one area where I think ML does have a lot of potential in scientific discovery is the field of SciML and Symbolic Regression.

The first uses physics-informed neural networks in systems of ODEs to solve complex problems faster and even helps derive DEs that fit some data.

The second uses a fixed set of symbols to fit a tree of them to data. This gives a closed-form solution that best fits the data. Both are pretty hot in the Julia community and have results published

Gitlab does this in their employee handbook. As a guideline they say if you go back and forth 3 times asynchronously, consider a meeting. I don't work there so I don't know how much people adhere to this in practice.

https://about.gitlab.com/handbook/communication/#video-calls

https://about.gitlab.com/company/culture/all-remote/asynchro...

I once wrote a program to scrape the logs from some printers so I could keep track of how much paper and ink was being used. It was just for fun but I showed it to my teammates and we ended up turning it into a leaderboard of who used the least amount of resources. Then they replaced the printers and I didn't feel like redoing it.

Erik's lectures on youtube are incredible and I've learned so much about Data Structures and Algorithms from him. Highly recommend if you are in the market for that knowledge.

Chelsea Troy, a Staff Engineer at Mozilla, keeps a blog where a lot of her posts work through various aspects of this book. I've really enjoyed reading them.

https://chelseatroy.com/

I know I could look it up but having an explanation of what any of the variables mean would make this not useless.