Now imagine the scraping of steel against teeth on this and it just….

The difference:

2023-12-12T21:18Z is ISO 8601 format

2023-12-12 21:18 is RFC 3339 Format

A small change

🎶 Max Power, Maximum and Higher 🎶

The electrical problems are overblown, that was a pretty specific few years (around 2005-2008 if I recall correctly) with a handful more recently with these latest generations.

Transmission have 100% been an issue since the 90’s, but like I said, have been pretty much all fixed (save for a few parking prawl issues) since 2006.

I will always say that Toyota has better reliability though, by far. They’re the golden child for cars staying alive.

“Last few decades” is a bit of a stretch. The only real issues up until 2005 were regarding the transmissions, and those got fixed in 2006. No significant problems until about 2015 or so when they started to make everything electronic, including key locks and such. The newest generations have been iffy, but my experience with Hondas up until then have been pretty solid, and you’d be hard pressed to find NHTSA recalls of any significant quantity or severity until then. 80% of recalls for Hondas in that era are for airbags (due to age) and exterior light bulbs going out (due to age) and the rest are usually regarding transmissions, with a handful of other parts thrown in.

I won’t say they were as reliable as the 90’s models per se, since those could take significant neglect and still be okay, but most things past that are really down to lack of maintenance for the most part. There will obviously be exceptions to this, but I would still take any Honda from that era over most brands except for Toyota.

Not necessarily, but jazz brought a lot of the higher energy that became inspirational for rock and roll to develop. Technically, it is more based on Blues, using similar chords and note progression, and I suppose it would be more accurate to say that the basis for Rock is Blues, with the influence of Jazz’s more chaotic, improvisational methods.

I’ll update my comment to reflect this in the top level

Mostly when people think of blues, they think of… well, having “the blues.” The sad, emotional songs that sing your soul to be rent, whereas rock is usually very different in its popular appearances.

Upvoted because I appreciate the exposure for this dating method, but I personally use it for everything. Much clearer for a lot of reasons IMO. Biggest to smallest pretty much always makes the most sense.

Modern metal is based on classical note progressions and chords, and sounds quite different to the 70’s-80’s metal. Those were more often than not just rock music (based on blues*) that was more exciting or had more controversial lyrics in it. Nonetheless, it was all branded as “heavy metal.” It was all “metal,” like many 80’s hair bands that really were just rocking out but had scandalous outfits or songs with rebellious natures. Twisted Sister is not metal today. Black Sabbath, however, is.

Back in Black by AC/DC is not metal by today’s standards, it would be classified as Hard Rock, for instance. By comparison, Judas Priest’s Painkiller is very much Metal by today’s standards. Listen to the way the music flows, the note changes being used, the harmonics, and you’ll find that eventually you can generally identify rock from metal pretty easily.

Note: this is for general distinctions and not sub-genres. That’s too complex of a topic to cover in this comment

*see below comment for more details

I understand what you’re trying to say, but you have to acknowledge the flaw in your argument.

Unless you feed the AI nothing but raw mathematical data, (and therefore nothing to contextualize the data with, since humans live in a world outside of raw data) you will always have some bias in what you feed it.

Even scientific data can have biased contexts attached to them in research papers. With this in mind, any data fed to a neural network will always have some bias based on what data was fed to it. Even if you ask it to produce scientific results, they will likely in some way mimic the methods of scientists who created source data material.

That aside, from a political perspective, I gotta say I have no idea what you’re talking about, I don’t follow most modern political arguments if I can help it. With that said, every person who views the results of said data will have a political bias, so any results will further be “tainted” by whoever publishes the AI’s findings. Even with that, I still find that advancements in open source neural network algorithms are becoming more effective and more accessible for everyday people to use, so at some point, the only thing affecting the decisions will be sheer popularity, which is something on an entirely different scale.

Well, to be fair, it is being fed data made by humans, so realistically its conclusions will be made likely following the ideas of past human inputs, no?

And if those results are ideas that the creators would rather not progress with, shouldn’t they cull the outdated ones?

I’m not speaking to any topics in particular, but the concept of AI creators shaping their creations. After all, if an AI told you the world was flat, wouldn’t you want to change its data to prevent it from producing results speaking so?

Is AI really being handicapped that badly? I mean I knew certain topics were blocked off with the biggest public chat bots, but the machine learning data is still there, no?