These are still at currently subsidized prices. We'll see if they think they're getting $1500/month of value when that buys significantly fewer tokens.
I don't know what definition of AI you're using, but plenty of ML algorithms operate deterministically, let alone most other logic programmed into a computer. I don't see how your statement can be right given that these other software systems also operate in the real world.
What you're doing here is part of the problem. "Suck it up, buttercup!"
Many men would rather not work and deal with the financial and social consequences of that than deal with the toxicity both in the workplace and later on if they talk about it.
There's been a lot of talk about "toxic masculinity" over the years but I've heard of and would worry about the female equivalent if I were considering a role in nursing as a man. Many stories where the only man in the room is expected to be, simultaneously, a punching bag, a mediator for drama, and a willing recipient of sexual advances. Seems awful
I've been doing this with my kids, at least to some extent. It offers first rung on a ladder to understanding that complex things can be understood as cooperation among simpler parts. We'll see how it works out but so far it seems to be working.
It's actually great since a lot of older technology is cheap and still readily available. My little ones love listening to old records, control the playback speed and hear the music go up in pitch if the RPMs are set too high. We look at the tracks on the vinyl under a microscope at talk about how the music is written on it that way. VHS an audio cassettes offer their own talking points.
For computers, we don't literally use a Commodore 64 but we run simpler, old software on new hardware. Mostly because a lot of newer education software is somehow also funded by injecting ads into the games (awful). But there is also some good "modern" educations software worth checking out. I highly recommend gcompris.net.
"Informally, from the point of view of algorithmic information theory, the information content of a string is equivalent to the length of the most-compressed possible self-contained representation of that string. A self-contained representation is essentially a program—in some fixed but otherwise irrelevant universal programming language—that, when run, outputs the original string."
Where it gets tricky is the "self-contained" bit. It's only true with the model weights as a code book, e.g. to allow the LLM to "know about" Slack.
"[T]here is an entire cohort of people who can think about specifying systems but lack the training to sdo so so using the current methods and see a lower barrier to entry in the natural language."
"Specifying" is the load-bearing term there. They are describing what they want to some degree, how how specifically?
That's what it was like when you started out, but did you eventually learn that code? Imagine constantly getting out back into square one on understanding a legacy code base you just inherited, forever. This is what it's be like with constant LLM-induced churn on code repositories.