williamcotton
Even if AI were entirely incapable of creativity, why would incorporating its output diminish the creativity of the human artist?
What about stock samples, preset drum-machine patterns, or clichéd drum parts played by a human drummer? Do these diminish the artist's creativity, and if so, why?
The morality of AI is another discussion entirely.
Or are you suggesting there's a spectrum here? Is the overall creativity of the album greater with a human drummer than with drum samples, a drum machine, or AI-generated drums?
Is the issue, "hey, it might be AI, therefore on a metaphysical level I do not enjoy this as much as if I knew for certain that the drums were recorded by a real drummer"?
Or separately and without the complication of "Hire-a-Drummer", what about failing to disclose that drum tracks were hand-sequenced on a drum machine?
Or separately, is the issue that the drums were outsourced in the first place?
That is to say, if a human drummer is hired and the only instruction is to "add some dope beats to this track" and the drum tracks are used thereafter without any further refinement, does/should this affect the listener's perception?
So the inputs to "Hire-a-Drummer" are always the same. Sometimes the mechanism is an actual drummer, sometimes it is a programmed drum machine, and sometimes it is AI generated. It's impossible to tell from the outputs what the mechanism was.
Does the mere use of "Hire-a-Drummer", even assuming that the drum tracks were recorded by an actual drummer, diminish my creativity in the final songs on the album? Is it neglectful to outsource drumming in the first place?
Is there some kind of metaphysical tainting that takes place based on what happens inside of the "Hire-a-Drummer" black-box?
This is not the case as far as accounting and the law is concerned.
https://www.economist.com/by-invitation/2026/10/04/will-maca...
https://williamcotton.github.io/datafarm-studio
Some demos of the above charting language:
https://williamcotton.github.io/algraf/demos
WASM, in browser editor, LSP, and more.
Edit: My latest project is all GPT-6 Astra High. It takes a lot of steering to keep it from adding a bunch of, while useful, features that are not strictly enough to the point. That main issue is it’ll use a lot of extra tokens in the process!
What was your process?
newdsl describe some_feature
This returns the docs for that language feature. So instead of a giant SKILL.md containing the language spec, it exposes a way for an LLM to introspect.DSLs climb the ladder of abstraction and constrain the solution space at the language level, which IMO provides tighter feedback to both humans and machines.
Tokens Too Cheap to Meter
So LLMs might decide to add backdoors without prompting?
Honestly, this word has lost all meaning, outside of perhaps “any use of AI”.
Well at least I know where team “lawslop” is coming from. Thanks, I guess?
So no, I don’t know what they mean.
In the macOS terminal you can...
Ctrl + Option + -
...and it'll undo your typing.Dunno about other OS keys!
https://web.archive.org/web/20130728183938/williamcotton.com...
You’re not offering a rebuttal, just making another metaphysical claim about “intelligence.”
You don’t even attempt to explain what practical distinction your use of the word is supposed to capture.
As per later era Wittgenstein, I prefer to ignore these engagements and focus more on the meaning-as-use approach.
What is the use of intelligence? What are the concrete outcomes of intelligence?