I think that is accurate. Beverages I noticed with Sucralose don't seem to give me that effect, just result in me being ravenously hungry for the rest of the day...

All I know is whenever I drink artificial sweeteners I get a fuzzy head. Probably nothing to do with this and probably no long term effects, I just don't like it so I avoid them.

What, assembly gets you closer to the hardware!

I've been learning Rust and in some ways find it a little annoying with formatting warnings in the compiler. let my_result = ( my_variable == 1 ) -> produces a warning that parenthesis are unnecessary (didn't run this through the compiler so I think the "code" is written correctly). Sure they are unnecessary but to my eyes this makes it much easier to read that what is being assigned is the result of a comparison, without the parenthesis I'd have to read the line more closely.

At the same time the compiler errors can be very informative. I was somewhat abusing the parse method to parse a terminal string into an int by using unwrap_or after the parse. I was assuming that unwrap_or was just returning the parsed value, but I was getting errors when I tried accessing the original parse error after calling unwrap_or. Turns out the parse's ownership is actually transferred to unwrap_or (something like the unwrap_or clears out the error indicator from the original parse I think it might be?) and the parse result is no longer valid after the unwrap_or call. I should have probably just stored the parse result and checked if it was Ok or Err, but I tend to expect a status variable on either success or fail, and the corresponding result value is only valid if the status is valid. Regardless of my thoughts on how unwrap_or works, the Rust error was very informative that I was abusing how the language worked.

Agreed, all I use linked in for is figuring out where my coworkers are currently and reading what they post. Anything from LinkedIn itself goes straight into the trash.

Twenty years ago my career started thanks to my college having required internships and the college working with local companies to have students work a full year over a two year period between classes. After that there was only one job I was hired into because of my resume and I was working on a Master's degree in CS (though that company was a headhunter group that paid me the same hourly wage as my previous salaried job with no benefits), everything else I got the job because I had worked with people at the company in previous jobs.

I don't honestly trust a lot that I could pick up a job now if I did not already know people at the company.

I've had some great "discussions" with ChatGPT's voice interaction on topics where I needed a sounding board to throw ideas at. It worked much better than trying to type on a phone keyboard while I was taking a walk and I think provides a better way to just talk out ideas when I don't have a human.

That said I trained text to speech on a windows machine a decade or so ago and it became highly accurate. However I still found keyboard and mouse as a much more efficient way of interfacing with a keyboard, so it did not take long to discard.

I wonder what they would say

Most of my GPT prompts are asking for a critical review of something. I spend more time figuring out why the response is wrong than anything else. In this way I think going to a GPT for reviews makes me think more than I would otherwise.

That is a very reasonable perspective on this

So it sounds like what is in the Netflix library is doing a better job of attracting anime fans. I lean more toward documentaries and have had more luck with those on youtube.

Or 50% of the users that are left are anime fans?

I'm honestly curious, I left Netflix a while ago when their DVD library stopped having anything I cared about and I had pretty much watched everything I wanted on streaming. Are we talking that 50% of "global" users watch anime, or more like what is left of Netflix library has managed to keep more anime watchers around than people interested in other streaming TV?

I use LLM a lot to find the question rather than the answer. A lot of times I don't exactly know how to search google for the answer I want, my search terms come up with bad answers, but I can talk with the LLM to figure out how best to ask my question and then find the actual answer on the internet. I can't trust the LLM answers, they make up too much.

I also like LLMs as a document review. A lot of what the LLM provides as a critique is stupid, but it makes me think about why I've written things the way I have and critically analyze my own writing. It is actually more work than without the LLM, but I feel like my results are worth the effort.

Good thing we have a wise and benevolent leader to protect us from following the Chinese into the destruction of true Capitalism. ...sigh.

I think they very much understand how they work, but a lot of reporting instead depends on what they appear to do and a whole lot of anthropomorphising. ... anthropomorphising is not even in this computer's dictionary?