I also had my old dev account that I used during school permanently disabled.

Without a CEO to fire when the business goes south, how is the board supposed to respond? Taking accountability? lmao

I asked claude to take the above and rewrite it in it's own words and it came up with: "LLMs are essentially large-scale statistical regressors — they're built on huge volumes of text, so the rhetorical patterns, clichés, and memes (in the Dawkins sense of self-replicating cultural units) that saturate the training data show up in outputs at roughly the frequency they occur in that data.

The key limitation: a human writer naturally shifts register, tone, and style based on context — what they're writing, who it's for, the medium. An LLM doesn't really do that in the same way. Every academic paper, Buzzfeed listicle, and Reddit thread it was trained on bleeds into its output regardless of the actual writing task at hand, whereas a person adapts fluidly to the situation."

Even with the context, it still included an emdash, the rhetorical technique of threes, and "the key limitation". It's an inherent weakness of LLM's. There is no fixing it.

So the solution is to find algos that let you use a smaller key, but the side effect is that by pigeonhole principle, your keyspace is smaller than the message space, so it MUST be insecure. The trick is to make it so that it's only insecure enough that it's infeasible to break.

Now if the question is, can a machine make art, well ultimately someone needed to turn the machine on and design the machine to make art, so arguably that person/people are the ones making the art.

Historically, every question of "is x art" ends up having the answer "yes". I don't know why people fall for the same thing over and over.

Heuristically weighted directed graphs? Wow amazing I'm sure nobody has done that before.

yeah honestly. If I was in that position I'd probably think it's funny and just stick the whole stack in a folder and laugh about the dumb process.

It has unironically saved me a lot of time I would have otherwise spent going down rabbit holes.

Of the models I've found that claude doesn't gas you up as much as GPT, so for stuff like this where the answer can be "no, that's not a good idea" I usually use claude.