How AI gave me my voice back – an artist's review of Suno Studio

Perceived quality of Suno music

• Many find Suno’s vocals unpleasant: “strangled,” “compressed,” with obvious artifacts (reverb issues, weird tone), and “generic slop” even when guided by a human.
• Some musicians call the example tracks “stunningly mediocre” and argue the same results could have appeared from the model without the artist existing at all.
• Others report genuine excitement: using Suno to “remaster” old bedroom tracks, extend ideas, style‑transfer piano improvisations into new genres, or create absurd novelty songs that would never be produced otherwise.

“Slop,” cultural saturation, and externalities

• A sizable group equates most AI music with “slop”: low‑effort, low‑iteration output flooding feeds, similar to SEO spam blogs.
• Concerns include: overwhelming discovery with mediocre content, making journalism and culture noisier, worsening scams (especially targeting the elderly), and harming professional creative livelihoods.
• Some push back that “slop” has become an empty, lazy critique and that people have long enjoyed “sloppy” mass culture; AI is just accelerating an existing trend.

Art, authorship, and the role of tools

• One camp: AI‑generated media is inherently derivative; prompting isn’t authorship, just commissioning a non‑sentient “artist,” so the result isn’t art in a meaningful sense.
• Another camp: when AI is integrated into a larger, iterative workflow (multi‑track editing, extensive decision‑making, compositing), it functions like any other tool—samplers, DAWs, autotune, printers—and can be part of genuine artistry.
• Debate centers on where to draw the line between “tool‑assisted art” and “press button, get content,” and whether allowing any AI in art is a slippery slope.

Accessibility, disability, and “capping upside”

• Some see AI music tools as a net gain for people with disabilities or limited time/skill, letting them realize ideas they otherwise couldn’t.
• Others worry this shortcuts the difficult growth that comes from confronting self‑doubt and mastering a craft, potentially “capping upside” in personal development.
• Comparisons are made to calculators vs mental math: acceptable for functional goals, more questionable if one cares about the craft itself.

AI companions, dignity, and mental health

• Side debate: a “companion community” attributes poor AI output to not treating models with “dignity”; critics call this delusional given models’ lack of memory or sentience.
• Some argue romantic attachment to LLMs can indicate serious misunderstanding or mental health concerns; others insist feelings themselves can’t be invalidated, even if the relationship isn’t reciprocable.