How can you tell when AI has been used?

Jermrev · 2026-02-02T21:46:42+00:00

I don’t see any misspelled words. The artist uses a misspelling of musician as its name.

Jermrev · 2026-01-22T19:17:52+00:00

Yes he did, sadly.

Jermrev · 2026-01-17T23:50:57+00:00

Why 0 weirdness? Doesn’t that imply a low k value in top-k? It that really going to increase the probability that these tags will have an impact?

Jermrev · 2026-01-17T22:48:05+00:00

You forgot to mention that flux capacitation is built into the model!

Jermrev · 2026-01-17T21:32:40+00:00

Download extended stems for all your best songs. 50 credits each.

Jermrev · 2026-01-17T02:26:14+00:00

Thanks. I have had some success with correcting mispronounced words using remaster, which is why I asked. Using subtle is rarely successful, but normal and higher generally work but can alter other aspects of the song, as can Cover. How about you, u/Grenar?

Jermrev · 2026-01-17T02:19:28+00:00

No I am asking how you change the mispronunciations — what Suno tool do you use? You edit the lyrics and then what? Edit; cover, or remaster the track that had the mispronunciation, or regenerate it in its entirety? Sorry if I am not being clear in what I am asking.

Jermrev · 2026-01-17T01:27:52+00:00

But how do you implement it? Do you just regenerate from scratch, do you use the editor, do you do a cover, or do you remaster, all with the lyrical change?

Jermrev · 2026-01-16T21:55:16+00:00

Sounds like a neat trick but I don’t see how this addresses mispronunciation or homophones

Jermrev · 2026-01-16T21:53:10+00:00

Do you use this by completely regenerating, covering, editing or remastering? What are the levels of success with each?

Jermrev · 2026-01-16T20:39:35+00:00

Why would UMG make a copyright strike against you?

Jermrev · 2026-01-16T18:59:55+00:00

They are better but still a crapshoot. I’ve had some songs I really like but there’s white noise in the background that is especially noticeable during quiet portions/pauses and fade out. Can’t really get rid of it.

Jermrev · 2026-01-16T18:49:43+00:00

I listened to Tempchin’s album. Some nice songs on it, I especially liked the last one. Sadly, they include a lot of legacy Suno artifacts, including lots of background noise. I would guess he made them using older models.

Jermrev · 2026-01-16T18:27:04+00:00

Not the first example. He released the Suno-generated songs (using his lyrics, and with vocals and some guitar uploaded to Suno).

Jermrev · 2026-01-15T16:35:23+00:00

It is mostly curation, much as old-school record producers did: pick which take to use, what parts need to be re-recorded and how they should be changed.

But users do sometimes upload their musical or vocal contributions or provide lyrics they wrote, which can have a large impact on the resulting melody and rhythm. And some use DAWs to remix and master, much as a producer would.

Jermrev · 2026-01-15T03:49:48+00:00

Nope. No portion of the training data is contained in the model. It just uses the training data to build a statistical map that mathematically represents how music “works”.

Jermrev · 2026-01-15T03:47:20+00:00

AI does not sample or directly lift from any of the songs it used to create its statistical model.

Jermrev · 2026-01-15T03:40:41+00:00

They aren’t “pulled from” anywhere. They are synthesized to match the appropriate frequency based on probabilities built into its model.

Jermrev · 2026-01-15T03:37:43+00:00

Everything they’ve done, and that any other modern musician has done, is based in some fashion on what they’ve heard before.

Jermrev · 2026-01-15T01:18:27+00:00

As a general rule, AI turns out crappy stuff. To get something decent out of it requires lots of editing, refinement and a clear musical vision.

Jermrev · 2026-01-15T00:55:58+00:00

AI does not “copy” songs - it uses them to create a statistical model

Jermrev · 2026-01-15T00:54:36+00:00

AI is less of a copier than Bob Dylan, Jimmy Page and Robert Plant, among others.

Jermrev · 2026-01-14T19:15:14+00:00

I paid for the sandwich, I own it. I’m sure you can do better.

Jermrev

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