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.

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?

I’m talking about the energy and resources to actually create and provide this service.

Depends on how much energy it takes. If it takes more resources than it frees, then I’d say it is not worth it.

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How do you get AI to change its answer when one researcher discovers what was generally accepted as fact is no longer true?

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FYI, leetcode is not a “learn to code” website it is a “practice problems that will be asked at tech interviews” site. A lot of these problems are inspired by (or maybe are even literally from) interviews at “top companies” like Google, Facebook, etc. They are almost completely algorithmic or data structure problems, i.e. “unrelated to your actual work” (well, most of your actual work for most people).

My single ultrawide setup has treated me much better than the 2-3 monitor setup I used to have.

Wouldn’t you argue that putting hard restrictions would have the benefit of shrinkjng your recruitment team? To be clear, I’m coming from an extremely anecdotal point of view, but to me it seems like tech is full of imposters jumping from job to job, playing up their experience. Recruiters cannot spot these people, because they know all the jargon despite having none of the skills. This is why these technical interviews exist, but now those are even being gamed by people by studying leetcode. I’d be really curious what a high quality tech recruiter does vs the average.

We do require a BS in computer science

The only scenarios where I’d think I wouldn’t require one are

1. I want cheaper labor
2. I am really desperate to fill a position
3. The skills I need in a candidate are incredibly niche, thus I want to widen the applicant pool.

#1 and #2 are indicative of other problems in your company. I get that you can be a good dev without a degree, but from an employer perspective, it seems like an easy way to save time and money on hiring. I am convinced that a lot of money is wasted on recruiters who throw everyone under the sun into the hiring process just so they can justify their existence.

TBH the solution is to salt the pesto less and salt your toppings more, probably by just adding finishing salt after cooking the pizza. Also consider using a nonfresh mozzarella, which generally has more flavor. While the creaminess of fresh is nice, I find it to be way too bland most of the time.

This problem is the exact reason why I stick to pepperoni and banana peppers. They are inherently flavorful and salty.

The tech layoffs are not related to industry replacing those jobs with AI. Tech overhired and now they are adjusting. Simple as that.

Saag/palak paneer is again, a sauce based dish but a lot more milder. Chana masala is also low on spice. Tandoori chicken is not sauce-based, but personally I don’t get too excited about it. Biryani is again no sauce. The last order I had did have a lot of spice, but historically these have been milder than other Indian dishes for me. Certain types of dosas might be up your alley too. This is coming from someone not well versed in Indian food, so I am sure there are more.

they pretty much saved the whole AI industry

Sam Altman could’ve vanished from the face of the Earth, and AI would be fine. There are so many big players (including Microsoft) in the game and so many other AI researchers that things would’ve likely continued going strong.