Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
Am I weird for not wanting to read Claude-generated text any more? I tried to figure out what this app is about, but all the Claude verbal tics in the text turned me off and I stopped.
I’m on the same boat. I get why people do it. Writing prose is significantly slower than consuming it, but there’s still a part of me that thinks “if you didn’t think writing was a good use of your time, why would reading this content be a use of mine”. I don’t mind AI-assisted writing but it’s hard to know to how much human editing was involved when the text shows so many AI tells. Almost by definition, AI writing is average it’s hard to justify spending the time when there’s so much content out there.
Not once did this pop on my radar as AI-generated. And if it is that’s fine, because it reads extremely clear and coherent to me.
Larger point: I am so sick of HN comment sections filling up with obligatory comments speculating about whether a post is AI-written.
At this point I don’t care. People now write with AI. If the writing is deficient in some way, then comment on that. At least that way the “writer” can steer the writing towards greater coherence.
As someone who has never used LLMs to write text, so am not familiar with the specific stylistic choices that any particular LLM likes, nothing in there seemed out of the ordinary for decent human writing.
Are you sure what caused you problems was LLM style rather than all the specialized music terminology?
My eyes glaze over pretty much immediately and I just close the tab no matter how interesting the subject of the writing sounded like it was going to be.
Am I weird for not wanting to see this same discussion and variations of it in most every thread including in ones that it has no place? I don't see it having any effect on the trend which only seems to be increasing, but I do see an effect on the quality of the discussion.
The main LLM tell -- both from the instructor/prompt side and the model side -- is:
a) how much of the text describes the solutioning, vs
b) text that describes the actual problem and real world cases where this was an issue (One anecdote from the author??)
As a lifelong drummer, programmer, and music producer -- following a drummer across varying tempo isn't a real problem. Any good drummer who is being relied upon to conduct the tempo will be well-trained enough to hold the tempo. Any great drummer who uses polyrhythms will keep accurate tempo regardless of the subdivisions of the beat -- otherwise the subdivisions would not land in place or sound correct. For songs that have intentional tempo variance, solutions already exist.
An app for a virtual band to follow a drummer who can't hold tempo... is a toy for amateur drummers who want to be the lead. Lead drummers are rare (Don Henley, Phil Collins, Bruno Mars, Anderson Paak) but they all know how to nail a tempo. And any good drummer plays with syncopation and time signatures far beyond what this toy tempo estimating app can deduce.
DJ/production software (Serato, Ableton) has industry-leading tempo estimation which still only reaches 1/10th of a bpm, which is ~3-10x fatter [0] than what the human ear and good drummers can hold time to [1]. There is no way that this app beats Serato, Ableton, and gets anywhere near to 6ms of human accuracy (transients etc make this hard... I have worked on BPM software).
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[ 3.6 ms ] story [ 47.1 ms ] threadmy inspiration was actually this jojo mayer video: https://youtu.be/URkxEAvavhw?t=248
My drummer half thought it would be fun so we decided to create DrumMate, and it ended up too good not to share.
Of course, it's impossible to know for sure what was LLM processed or not, but some of your posts (like this one) have been getting classified that way.
Larger point: I am so sick of HN comment sections filling up with obligatory comments speculating about whether a post is AI-written.
At this point I don’t care. People now write with AI. If the writing is deficient in some way, then comment on that. At least that way the “writer” can steer the writing towards greater coherence.
I'm so tired
Are you sure what caused you problems was LLM style rather than all the specialized music terminology?
a) how much of the text describes the solutioning, vs
b) text that describes the actual problem and real world cases where this was an issue (One anecdote from the author??)
As a lifelong drummer, programmer, and music producer -- following a drummer across varying tempo isn't a real problem. Any good drummer who is being relied upon to conduct the tempo will be well-trained enough to hold the tempo. Any great drummer who uses polyrhythms will keep accurate tempo regardless of the subdivisions of the beat -- otherwise the subdivisions would not land in place or sound correct. For songs that have intentional tempo variance, solutions already exist.
An app for a virtual band to follow a drummer who can't hold tempo... is a toy for amateur drummers who want to be the lead. Lead drummers are rare (Don Henley, Phil Collins, Bruno Mars, Anderson Paak) but they all know how to nail a tempo. And any good drummer plays with syncopation and time signatures far beyond what this toy tempo estimating app can deduce.
DJ/production software (Serato, Ableton) has industry-leading tempo estimation which still only reaches 1/10th of a bpm, which is ~3-10x fatter [0] than what the human ear and good drummers can hold time to [1]. There is no way that this app beats Serato, Ableton, and gets anywhere near to 6ms of human accuracy (transients etc make this hard... I have worked on BPM software).
[0] 0.1 bpm at 120 bpm = 50ms
[1] Typically ~6-10ms, see e.g. https://www.researchgate.net/publication/309706298_Effect_of...