Fair enough

Yeah, I guess “black tea” is a bit of a misnomer. It’s probably just simpler to share the terminology with coffee though

Coffee is just too bitter for me unless I overload it with way more cream and sugar than is healthy. At that point all the caffeine and sugar makes me way too jittery. On the other hand, I enjoy drinking tea black, so tea it is.

Nice.

I hate that the focus of AI/ML development has become so fixated on generative AI - images, video, sound, text, and whatnot. It’s kind of crazy to me that AI can generate output with the degree of accuracy that it does, but honestly, I think that generative AI is, in a sense, barking up the wrong tree in terms of where AI’s true strengths lie.

AI can actually turn out to be really good at certain kinds of problem-solving, particularly when it comes to optimization problems. AI essentially “learns” by extremely rapid and complex trial-and-error, so when presented with a problem with many complex, interdependent variables in which an optimal solution needs to be found, a properly-trained AI model can achieve remarkably effective solutions far quicker than any human could, and could consider avenues of success that humans otherwise would miss. This is particularly applicable to a lot of engineering problems.

Honestly, I’d be very intrigued to see an AI model trained on average traffic data for a section of a city’s street grid, taken by observations from a series of cameras set up to observe various traffic patterns over the course of a few months, taking measurements on average number of cars passing through across various times of day, their average speed, and other such patterns, and then set on the task of optimizing stoplight timings to maximize traffic flow and minimize the amount of time cars spend waiting at red lights. If the model is set up carefully enough (including a data-collection plan that’s meticulous enough to properly model average traffic patterns, outlier disincentives to keep cars at little-used cross streets from having to wait 10 minutes for a green light, etc.), I feel that this sort of thing would be the perfect kind of problem for an AI model to solve.

AI should be used on complex, data-intensive problems that humans can’t solve on their own, or at least not without a huge amount of time and effort. Generative AI doesn’t actually solve any new problems. Why should we care if an AI can generate an image of an interracial couple or not? There are countless human artists who would happily take a commission to draw an interracial couple (or whatever else your heart desires) for you, without dealing with investing billions of dollars into developing increasingly complex models built on dubiously-sourced (at best) datasets that still don’t produce results as good as the real thing. Humans are already good at unscripted creativity, and computers are already good at massive volumes of complex calculations, so why force a square peg into a round hole?

Good to see they’re branching out with their business model. Can’t just commit to a single strategy these days. Sometimes it helps to rebase your priorities to avoid creating new issues.

Ok, bad jokes aside, how did it taste?

For me that grabbed the link to the post which the NotTheOnion post was crossposting from - https://feddit.uk/post/9650395 - not the NotTheOnion post itself. Idk if that’s intended behavior for crossposts or if there’s another way to do it on crossposts in Jerboa.

Edit: Wait, I guess that is it? Since it was a feddit.uk link and NotTheOnion is hosted on lemmy.world I thought it wasn’t the right link, but it seems to go to the right place anyway. Guess I don’t quite grasp all the nuances of how the fediverse works…

https://lemmy.world/comment/8841989 2 days ago. (Linked to a comment because I can’t for the life of me figure out how to copy a link to the main Lemmy post itself on Jerboa.)

Tried it once. The flavor was alright, but it was barely carbonated to the point where it went completely flat before I even finished the can. I definitely don’t see the appeal.

Well-put. Compare Bill Nye, who comes across as highly intelligent, yet still relatable and likable, in large part because his Science Guy character tends to be a bit of a goof, and, more importantly, because he never talks down to his audience.

You know, years ago, I used to really like Neil before he adopted this “Well, ackchually…” shtick over scientific inaccuracies in works of fiction. I find him absolutely insufferable now. It’s the same kind of brainworms as CinemaSins.