Laakeri

This is just life in general. Some people get funding/support for their own ideas and some people do not. I don't think it is specific to academia.

Is there something wrong in this? Better qualified candidates were preferred for a research job. Of course, if you argue that the job didn't actually require PhD-level knowledge/experience, then the problem is in oversaturated job market of the field, not in the PhD system.

I don't get it. Isn't it well-known that PhD makes only sense for people who want career in research? In this case, why "wasting years and years" doing research would be a waste of time?

Defeating file cabinet locks in this scale would

Trading in microseconds frequency provides liquidity to those who trade in milliseconds frequency. Trading in milliseconds frequency provides liquidity to those trading in seconds frequency and so on...

Computer science is not a subfield of math. Theoretical computer science is, but there is a lot more to cs than just tcs, for example: operating systems, programming languages, human computer interaction, etc.

I agree on your first point though, I think the concepts named after people are usually so abstract that the hard part is to really understand the concepts, not to remember the name.

I was expecting it to a have a section about deep learning hype.

Not exponentials

Leslie Valiant has done some interesting work on quantifying the efficiency of the brain from the viewpoint of computer science, see e.g. https://www.youtube.com/watch?v=X9hRRh76QEA and the book Circuits of the Mind.

The value of a paper is the peer review by experts.

What is the point of this blog post? It appears to be about arguments in the Internet in general, but its implied point seems to be a rant against low-level programming.

They have hired with algorithm questions since the beginning and started with behavioral questions in 2018...

It's easy to throw hardware at a problem that can be parallelized efficiently. It's very hard to throw hardware at inherently sequential solution.

Why C++ string class is useless?

SAT competition 2018 http://sat2018.forsyte.tuwien.ac.at/index.php had a track with random instances. The article "Generating the Uniform Random Benchmarks" in https://helda.helsinki.fi/bitstream/handle/10138/237063/sc20... contains the descriptions of the random instances used.

SAT solvers are not fast on average. Even some very simple random distributions produce small (<100 variables) SAT instances that are very hard for the solvers.

For example a server log file?

Imagine inserting text in the middle of 1GB file. Moving 500MB of data will definitely take longer than 18ms, and thus will cause at least some visible lag.

For the "most of us" point, keep in mind that Google has a superior international infrastructure. At least in Finland, DuckDuckGo's loading time for search results is about 2 seconds compared to Google's <0.5s. This makes using ddg surprisingly annoying.

However currently the most difficult and time consuming part of the job is proving those interesting theorems.

Maybe something that solves a natural problem instead of an artificial one.

Have you seen practical cases where there has been issues because C code is not compatible with C++? The blog has nice toy examples, but would be nice to know if they actually occur in the wild.

Not a big surprise that hand implemented data structures with domain specific optimizations are faster than generic standard library implementations.

Optimization is not dangerous, it's just that coming up with the correct model is hard.