The amount of CPU time compiling code is usually negligible compared to CPU time at runtime. Your comparison only really works if you are comparing against something like Rust, where less bugs are introduced due to certain guarantees by the language.

Regarding “language constructs” it really depends on what you mean. For example using numpy in python is kind of cheating because numpy is implemented in C. However using something like the algorithm libraries in Rust woulf be considered fair game since they are likely written in Rust itself.

And technically you can still do that, but it’s super laggy. Playing a game through X11 forwarding would be horrendous

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Not sure I understand your comment on multithreading. pthreads are not very hard to use, and you have stuff like OpenMP if you want some abstraction. What about C is not ideal for multithreading?

I remember easily getting gems for free. Also the streak basically doesn’t matter at all. What made me uninstall is the slow pace. It felt like I was stuck on the same words and topics forever. It felt like I was not actually learning anything, which if you’ve ever started learning a language if a formal setting, is very apparent.

Thanks for the details! I have done MPI work in the past, so I was curious how an MPI implementation and iceoryx2 might be similar/different regarding local IPC transfers. It’d be interesting to do a detailed review of the two to see if they can benefit from each other.

Can you explain on a high level how iceoryx2 is able to achieve low latency? Is it as simple as using shared memory or are there other tricks in the background? Are there different transfer methods depending on the payload size?

Isn’t that how all physical media works?

This genZ-bait soundtrack is making what looks like pretty cool gameplay look incredibly lame. Too many of these GaaS titles that inevitably enshittify use this same marketing to the point where it gives a Pavlovian signal to stay away.

I don’t think I’m interested in an NVIDIA Shield since if I like the idea of running any Linux app in case I want to use it for another purpose in the future.

An RPi could be a choice. I forgot that the 5s have hardware decoding. Assuming the 4GB model is suitable, then $60 + cost of a case isn’t too bad. I assume the hardware decoding could keep up with 4k60?

No, I just was under the impression that Moonlight was the best solution

Just Mario 64. However there is a very good implementation of the N64 in the Mister FPGA project. The downside is there aren’t many emulation features that you’d expect out of a software emulator (e.g. save states)

Administrative bloat. At my university, if my lab lands a grant, 60% goes to the university and only 40% is used for actual research. There’s a long chain of people whose jobs are to answer emails, and they all need to be paid.

Donald Savings Time

Ah, yes. Nintendo has definitely done evil on the level of… checks notes …slavery.

https://en.m.wikipedia.org/wiki/Controversies_of_Nestlé

Might want to reevaluate your list there.

Does your school have a robotics team or something along the lines of computing? That would be a good option. Also if you are still in high school and plan on going to college, you still have plenty of time to learn.

Well luckily AI researchers have achieved plenty in over 60 years. We call the ideas and innovations resulting from this research “AI.”

So the entire field of AI has produced no AI. Gotcha 👌

OK what qualifies as AI then?

allowing to customize its PCB specifically for the needs of FPGA console emulation.

From what I can recall, this is not what happened. He has stated multiple times that he’s designed it to work as much like a DE-10 Nano as possible. There are no significant differences between his board and the original from what I can tell.