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It’s very popular in scientific computing

Devil’s advocate take: was the phone app the only way to ease your anxiety, or was it just an option that was recommended due to the trend of trying to have our phone do everything?

The best way to “stand up for yourself” when a company that sells a luxury product is to not buy said product. In which case this tariff nonsense doesn’t affect you. More people were affect by the increase in the cost of groceries and gas than the cost of a Switch 2.

IMO I think it’s weird to focus specifically on Nintendo. The American government basically screwed over its populace and a ton of foreign companies (less sympathy for the latter though). I don’t think it’s realistic to expect these companies to reimburse customers, because logistically it’d be a nightmare. The only way I can imagine consumers getting their money back is if the government used the tarrif money to pay a portion of the federal income tax for its citizens, ideally the lower tax bracket. Unfortunately that won’t happen.

“operating at a loss” =/= “low revenue”

I tried the same user, and it worked for me just now. Thanks for working on this project!

Just fyi, I tried one your instance. Searched a user, clicked a result, and got an error.

Error

./app.lua:134: attempt to concatenate field 'username' (a nil value)

Traceback

stack traceback:
	./app.lua:134: in function 'handler'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:185: in function 'resolve'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:216: in function <...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:214>
	[C]: in function 'xpcall'
	...ittygram/lua_modules/share/lua/5.1/lapis/application.lua:214: in function 'dispatch'
	/apps/kittygram/lua_modules/share/lua/5.1/lapis/nginx.lua:231: in function 'serve'
	content_by_lua(nginx.conf.compiled:92):2: in main chunk

Improved hardware capabilities used to come very quickly (see Moore’s Law and Dennard Scaling). However that trend is basically over, so getting higher performance hardware takes a lot of effort to make hardware specialized for certain tasks. That’s why you see there inference accelerators like Groq, SambaNova, Cerebrus, etc. However this is hardware that still is gonna go into data centers. Something innovative has to happen on the AI side for commercial-grade models to be runnable on consumer hardware.

Depends on the nature of the project. Is it a pure software project or is it a physical device + platform? Is anything implemented yet?

Thank you for the clarification. Very cool project!

I’m not really an OS guy, so forgive me if this question has an obvious answer. When a thread migrates, it keeps its stack and register, thus any data contained within this can be used in the destination process (correct me if I’m wrong). Thus sending a message could be as simple as migrating a thread and having that thread copy data from its registers or stack memory to the current process’s memory space. However, how does the thread find process-specific addresses and handles (e.g. a mutex)? For example, I’m picturing a scenario where you are implementing an MPI library and want to use thread migration to send (small) messages from one local process to another. The thread orchestrating the send simply loads the data from memory and migrates, but how will it know where to store the data to? Would there need to be a data structure stored in a fix offset in memory that contains the destination address of the receiving process?

They’re not. Even though I really enjoyed living in the Bay Area, I’m not blind to how dystopian it can feel. Just hang in the Tenderloin. Or if you really want something eye-opening, shoot on over to Oakland. The area is still great, but it’s a poor value when you consider it has the mkst expensive CoL in the country. I’d love to see the area get itself a little more together.

Edit: though the other commenter is right. Castro street has nothing to do with the TL

It’s also the basis for a popular hardwaregeneration language, chisel. No clue why they chose it

I don’t think engineers need encouragement to be cynical. More often engineers need to lighten up.

The IEEE standard actually does not dictate a rounding policy

I guess your battery isn’t overheating?

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.

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.