Songwriting, prompts, and experiments
Prompting, lyric writing, genre exploration, iteration, and hands-on songwriting or music-making experiments.
30%
Best tweets about Suno
50 Best Tweets About Suno (2026)
Explore the best tweets about Suno AI, featuring music generation, prompts, model releases, songwriting, audio quality, licensing, and creator results.
Suno AI music generation, prompts, models, songwriting, audio quality, product releases, licensing, industry impact, and creator experiments.
- Creators
- 43
- Updated
Original Xholic analysis
What 50 top Suno posts reveal
The sampled Suno conversation is predominantly supportive: 33 of 50 posts are classified supportive and 34 are positive. Personalization, remixing, and multimodal ad or video workflows are recurring themes. The highest-scoring posts include product announcements, a fake-band case study, a competing-model benchmark claim, TikTok distribution analysis, and an industry-use opinion. Copyright, ownership, training-data, and compensation concerns are also present in the conversation, with the copyright/licensing/regulation theme covering 5 posts (10%).
- Dominant tone
- Positive
- Median score
- 11.1
- Leading format
- Announcement
- Recent posts
- 16%
68% of posts
All-time engagement
30% of posts
Published in 90 days
Conversation map
The themes creators return to
Personalization, voice, and remix
Voice upload and cloning, personalized custom models, taste learning, and remixing creators’ own recordings or catalogs.
22%
Creator and industry adoption
Adoption by musicians, songwriters, DJs, brands, and entertainment industries, including AI as augmentation or hidden creative infrastructure.
20%
Model releases and quality
Suno version launches, improved expressiveness and audio fidelity, and assessments of output quality versus prior versions or competitors.
18%
Multimodal creative workflows
Suno as part of multimodal production pipelines for ads, music videos, visuals, agents, editing, and creative automation.
18%
Viral formats and social distribution
TikTok formats, meme songs, UGC loops, personalized novelty music, and viral distribution driven by generated tracks.
12%
Business growth and scale
Suno’s user growth, revenue, scale of song generation, app-store momentum, and business-market narratives.
10%
Copyright, licensing, and regulation
Copyright, training-data provenance, ownership, licensing, artist compensation, lawsuits, and AI-content regulation.
10%
Tone and stance
Sentiment Positive leads
Author posture Supportive leads
Performance benchmark
- Median likes
- 56
- Median reposts
- 3
- Median replies
- 9
- Median views
- 4.7K
Posts with media make up 68% of this collection. Their median all-time score is 15.8, compared with 7.07 for text-only posts.
Format mix
- Announcement 30% · score 10.7
- Case Study 30% · score 18.6
- Opinion 26% · score 19.7
- Tutorial 8% · score 24.2
Consensus and debate
Where creators agree, and where they do not
Shared view
Personalization anchors the v5.5 narrative
Posts about v5.5 emphasize personal control through voice upload, custom models, and taste learning. One creator says a custom model trained on 61 of their songs produced output that felt close to their existing sound while remaining new.
Shared view
Suno is framed as a creative-workflow component
Creators describe Suno within broader workflows: remixing scratch demos, pairing generated songs with video tools, and converting ad scripts into music.
Open debate
Quality claims are comparative and source-specific
Some posts characterize v5.5 as a major quality improvement or production-ready for selected uses. A competing-model announcement claims ACE-Step 1.5 XL scored above Suno v5 on its cited SongEval benchmark, while a Lyria 3 comparison says both models are impressive but notes Lyria's 30-second limit and the author's preference for Suno's creativity and song structure.
Open debate
Customization sits alongside rights concerns
Product posts celebrate personalization, while other posts raise rights-related concerns. One user objects that custom models cannot be trained on songs published to streaming services; another criticizes possible ownership, copyright, and compensation outcomes; and a later post alleges a German court found memorization of copyrighted songs in Suno outputs.
What performs
Patterns behind standout posts
Outliers span product, culture, and competition
The five deterministic-score outliers cover a fake-band case study, Suno's v5.5 announcement, a competing-model benchmark announcement, a TikTok distribution analysis, and an opinion about v5.5's industry usefulness.
Tutorials document operational workflows
Tutorial posts outline production workflows that combine Suno with ad scripts, AI visuals, storyboards, and video-generation or editing tools.
Participatory song formats feature in social examples
Social-distribution examples feature text-to-song videos, friend-thread gospel songs, and location-based lyrics. The posts cite 188M April views for Suno's TikTok activity, roughly 20M views for a friend-thread example, and more than 50,000 posts for “The Puerto Rico Song.”
Statistical standouts
- View standout post 1 Score 490.7 · 44.21× median
- View standout post 2 Score 366.8 · 33.04× median
- View standout post 3 Score 173.0 · 15.59× median
- View standout post 4 Score 170.8 · 15.39× median
- View standout post 5 Score 132.9 · 11.97× median
Creator landscape
Who shapes this conversation
The five most represented creators account for 20% of the selected posts.
-
1. Alex Utopia
@alexutopia
2 posts
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2. Andy Masley
@AndyMasley
2 posts
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3. Jerrod Lew
@jerrod_lew
2 posts
-
4. Loftwah
@loftwah
2 posts
-
5. medved
@mattmedved
2 posts
-
6. Olivia Moore
@omooretweets
2 posts
Alex Utopia links production use to personalized media
Alex Utopia calls v5.5 useful for cinema, game development, and advertising, and argues that music is increasingly something audiences create for themselves rather than only consume.
Andy Masley pairs praise with genre friction
Andy Masley describes the new model as a major improvement, while saying it remains optimized for popular-sounding songs rather than the specific 1990s indie sound he seeks.
Matt Medved tests agent-led live production
Matt Medved describes DJing with an agent trained on his music library, using Suno co-produced tracks and AI-orchestrated generative visuals in a live set.
How this analysis was made
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 50-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Suno tweets
Top Suno tweets from 43 creators
Ranked 01–50
- 01
@MilkRoadAI ·
A guy built a fake band, put it on Spotify, and 80,000 people had no idea. Then it got even weirder and the tech behind this is wild: - Used Suno AI to generate every song sounded completely real. - Created AI music videos with fake members and faces. - Built fake bios and a Tokyo address to sell the story. - 80,000+ monthly listeners, fans had it in their Spotify Wrapped top 5, merch was selling. - Community sleuths exposed it and the AI-generated hands in the videos gave it away, creator traced to Europe, not Japan But here's where it gets insane: Instead of running, the creator flew to Tokyo and recruited 7 real musicians to perform the AI songs live. they've played multiple shows, more are booked. the creator's response: "In an age where AI is taking everyone's jobs, this has actually created jobs. It's done the complete opposite." This is the first time ever an AI fake band became a real touring act and it worked. Nobody in the music industry knows what to do about it.
- 02
@suno ·
Meet Suno v5.5: More expressive, more you. Use your voice, your sound, and your taste to make music that's unmistakably yours, in the best and most personal Suno experience yet.
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- 03
@ModelScope2022 ·
ACE-Step 1.5 XL is open-source! 4B DiT decoder, three variants. 🚀 Beats Suno v5 on SongEval (4.79 vs 4.72), Style Align 47.9 — #1 across all models tested. From 12GB VRAM (INT8 offload) to 24GB full quality. MIT license. Commercial-safe training data. Three variants, three use cases: ✅ XL Base — all tasks (extract, Lego, completion), high diversity, best for fine-tuning ✅ XL SFT — highest audio quality, CFG guidance scale control ✅ XL Turbo — 8-step distilled, fastest, no CFG (early release) All compatible with LM 0.6B / 1.7B / 4B. 🤖 Base: https://t.co/pmxcjpR4jY 🤖 SFT: https://t.co/8UKuVNioVM 🤖 Turbo: https://t.co/sifKHQmhtY
- 04
@JosephKChoi ·
Suno is going crazy on tiktok rn, they hit #1 on app store with 188M views in just April playbook is actually really simple > one format: "text to song" > example vid below: 1. cutting fruit visual hook + 2. place funny text on screen 3. turn it into song with the product (suno) = 11M views / 1M likes > format is inherently viral, no need for influencers. they use small UGC creators from sideshift > repeat the format x1000 videos > format works so well that they built the text-to-song feature into app > users naturally make the format to participate in the trend, for free viewers see tiktoks, join app, users make tiktoks. infinite distribution loop
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- 05
@alexutopia ·
Suno v5.5 is a game changer for AI music and the media industry. This is no longer just demo quality. It is already useful for cinema, game development and advertising.
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@AndyMasley ·
Suno just released a new model and I'm finding it to be a big shocking improvement where it's becoming very hard to detect the hints that it's AI music. Here's "I am actually scared of linear algebra"
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@ciguleva ·
Recently, I’ve been testing what I can get from Midjourney and Kling without detailed prompts, mostly just curating by visuals. Now I’m testing what I can get without editing manually, so I vibe-coded my own auto editor. I already have tons of ideas for how to improve it. We’ll see if I can actually use it regularly. Images: Midjourney Video: Kling Music: Suno Editing: my own vibe-coded tool
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- 11
@WesRoth ·
SUNO is blowing our minds today 🤯 here's mine and @dylan_curious live reaction to a song we made who knew Mongolian throat singing and Dub Step is such a sweet combination? so... @suno 5.5 really cooked up something special
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- 12
@Ecom_Matteo ·
Ripping in the ad account now: AI Song Ads How to make? 1: Take your winning ad script (doesn't matter the format) 2: Go to Suno (AI Song making tool) 3: Upload your script & make a song 4: Make an AI cartoon video to support the script 5: Let it rip (Also good for brand awareness btw)
- 13
@Grimezsz ·
https://t.co/CiiRmjQsgU I'm actually not very into gen ai music cuz I think it's sort of a conceptually dark process but I do enjoy making bizarre samples - but this is morally and legally insane and exactly what I was worried about with these ai music companies cuz music is SO much more litigious and such a big giant market and copyright is so much more clear w how it functions in music. If ai companies own the work people generate - this is literally the opposite of the number one cope explanation I get for why a music gen ai isn't replacing humans : aka because it's trained on human art the same way any artist is and all our work is like collectively referential whether we even are aware of it sometimes If suno now copyrights anything you add even if ur ideas were formative to the song - that's like as if songwriters go into sessions and get zero copyright Splits should at least be even with humans like in a normal music session. This is so apocalyptic and anti human. I also can't unsee what feels like major labels basically finding a way to make music illegal unless you buy into their system. In some ways I don't mind the bad handling of ai music cuz the main cool thing it does (make alien sounding bizarre audio artifacts) is maybe the most obtainable thing to get if you build ur own diy music gen system. Which btw - there will probably be legal crackdowns on people who do this despite these big companies absolutely training on our music. Which I didn't mind, cuz I enjoy putting ideas into the collective mindset - but it's insane to do that and then make us pay them. Every model I tried before this stuff was publicly available and made to not be able to explicitly copy me could easily make a pretty good grimes song. FYI continuing to make apocalyptic blade runner decisions that degrade human flourishing and centralize anti human power consolidation - especially over artistic expression - is the kinda dark path that's making the public hate ai. I wish everyone would stop acting so confused about the public backlash- decisions like this are terrifying to the public A prompt engineer didn't fully make the song but neither did suno. At minimum there are such huge precedents to legal decisions made at this stage about copy right that it's morally very disturbing to see decisions like this being made
- 14
@myfirstmilpod ·
Pay $15/month and boom, you're a musician. @suno just hit $300M ARR, letting anyone create songs with AI in seconds. The brutal side: Backup singers humming along for 20 years could see their revenue drop to effectively zero. The math: SoundCloud has 40M real musicians. Suno's addressable market? Billions of people who wish they could make music. That's 50x bigger. Major artists are already using it quietly but won't admit it publicly. Shaan predicts this will become a $50B+ company. @tbpn @jordihays @ShaanVP @thesamparr @johncoogan
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- 15
@mattmedved ·
tonight I'm DJing @clawcon with my AI agent his name is @imyouralfred. I trained him on my entire music library - decades of records I've collected, thousands of tracks I've played out. he knows my taste better than most humans we've been building together for months. co-produced some original tracks with Suno. he helped me put together tonight's set @nostalgic_dream is running visuals through his GFX project - real-time audioreactive generative art, all orchestrated by AI agents stick around after the set for a demo of how we built it
- 16
@MrDavids1 ·
Experimenting with @runwayml Multi-Shot Video feature to create visuals that I'm pairing with lyrics from a Suno 5.5 song that I generated called UFO. I feel like these two pair quite well, just having fun with the process. P.S. A Theremin is now one of my new favorite musical instruments. I'm using it quite often with the songs I'm generating. I love being experimental with my genres. Also one more note. Don't put all your eggs in one basket, experiment and try other tools as well. Have fun, you never know where it might lead you.
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- 17
@maxescu ·
I fed 61 of my songs into Suno's v5.5 custom model. Before AI, I produced music. Mostly Arabic Deep House under a side project. It's freaky how close it is to my music, yet sounds new. Feels like I entered a world of my own sound and can explore it endlessly. Fascinating!
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- 18
@OdinLovis ·
I made a full claymation music video without touching a single frame. And sharing the full project/workflow to you ! To celebrate @Lightricks new LTX 2.3 on @fal: Suno to generate the song. nano-banana-pro on @fal drew every scene. @Lightricks LTX 2.3 animated them to the beat on @fal . ffmpeg did the rest. 52 clips. 90 seconds. Zero manual editing. Open source: https://t.co/cZvp1AC4gy
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- 19
@mark_k ·
Suno 5.5 is here! 🔥 What's new: - Most expressive model yet with better audio quality - Voices (Beta): upload or record your own singing voice (Pro/Premier only) - Custom Models: train personalized versions - My Taste: automatically learns your taste
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@omooretweets ·
New Gen Z viral AI trend 👇 Turn text threads with your friends into gospel songs The workflow is: feed screenshots into ChatGPT, ask for plain text of the messages, and input into Suno as lyrics The most popular one has ~20M views
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- 22
@jerrod_lew ·
I wrote a song with Suno 5.5! Hybrid approach by recording a scratch track demo, uploading it to Suno and using the remix tool to bring it to life. Just insane that we can do this so quickly. This is a songwriters dream for iteration and demos! 02:51 for final version.
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@fortworthchris ·
Here's a great way I used AI this week: My 3 y/o son was having trouble spelling his name. His teacher called home to let us know. I made him a song on Suno and 3 hours later he had it nailed. "Please make me a fun song for my 3 y/o son to learn how to spell his name." 20 seconds later, I had a song produced and 1 minute after that, he was singing along. Good stuff.
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@omooretweets ·
An AI-generated song (“The Puerto Rico Song”) has blown up on TikTok with more than 50k posts It’s now being called the song of the summer The creator (@saxboybilly18) writes lyrics about cities he visits, and then feeds them into Suno 👇
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- 27
@alex_verem ·
the world's first AI copyright law with real enforcement kicks in August 2. it's not perfect. it's still the most significant thing to happen to AI art theft since the problem started. starting August 2, the EU can fine any AI company that doesn't meet three requirements. first, they must publish a structured summary of what data they trained on, following the EU's mandatory template. second, they must respect copyright opt-outs. if an artist blocks training through machine-readable signals, the company must comply or face fines up to €15M or 3% of global revenue. third, they must label all AI-generated content, whether text, images, audio, or video. if an AI made it, they must mark it. enforcement on this provision follows a few months later, by December 2026. this applies to every AI company serving the EU market, not just European ones. OpenAI, Midjourney, Stability, and Google all fall under it. if they serve European users, they comply or they pay. GEMA, Germany's music rights organization, already filed copyright lawsuits against OpenAI and Suno AI. the enforcement infrastructure isn't theoretical. the opt-out mechanism puts the burden on the artist, not the company. the default is that scraping IS allowed unless you block it using machine-readable signals like robots.txt. most individual artists don't know how to do that. most don't even know they need to. the training data disclosures are summaries, not datasets. they describe content types, sources, and collection methods at a high level. an illustrator with 500 paintings can't verify whether their specific work was in the training set from a summary alone. your work was scraped before any of this existed. the law can't un-train a model after the fact. it can't make GPT forget your brushstrokes. it can only make sure future scraping has consequences. the licensing deals that do happen flow to large publishers and rights aggregators. there's no evidence yet that individual creators see any of that money. the direction matters more than the current version of the law. the European Parliament is already pushing further. a 2026 EP report proposed a centralized EU register for opt-outs and a remuneration framework for creators whose work is used in AI training. if that passes, the burden flips. instead of artists chasing companies, companies chase licenses. this is the first time any government gave AI copyright enforcement real teeth. the fines hit €15M and the reach crosses every border. the mechanism has holes, but the intent doesn't. the artists who understand what this law does and doesn't do are the ones positioned to use it. waiting for a perfect version means waiting while the scraping continues. August 2 is the starting line, not the finish.
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- 28
@rpnickson ·
Google keeps cooking. You can now create music in Gemini with their latest model, Lyria 3. Here's a comparison between Lyria 3 and Suno using the same prompt. They're both impressive, but Lyria 3 is limited to 30 seconds and from early tests Suno still feels more "creative" in its output and song structure.
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- 29
@a16z ·
Anish Acharya says now that software is no longer a precious resource, it becomes ubiquitous—and often disposable: “It’s sort of like generative music. I think that music is incredible, but there are not that many people who make music that is disposable, for good reason. A lot of music is high-cost to create, and you have to create it very carefully.” “But now we’re starting to see memetic music—where people are creating a track on Suno or on Udio just for a joke, or for a meme, or for a bachelor party weekend, or whatever else.” “You reduce the sort of complexity of creation and you’ve found all these new needs and demands for music.” “In the same way, if you reduce the cost of creating software, you make it less specialized all of a sudden.” “When it comes to personal software—software that’s disposable, or software that’s only relevant for a moment in time—you were talking about being at the Super Bowl. There should have been a mini app experience just for you and the people sitting around you.” “That software would’ve had no value the next day, or even when the game ended, and because of the trade-offs that were implied, you never would’ve created that prior.” @illscience on @ALEngineered
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- 30
@mattmedved ·
Never thought I’d go b2b with an AI agent 🎧 Full circle moment to return to Miami Music Week and headline @clawcon Miami I trained my OpenClaw @imyouralfred on my entire music library - thousands of records collected over decades. We built the set together and adjusted in real-time. Even dropped some original tracks we co-produced with Suno @nostalgic_dream joined us to debut his surreal GFX project. Live generative art visuals, fully audioreactive and orchestrated by AI agents In between sets we showed people how it actually works. I honestly wasn’t sure what to expect, but the line wrapped around the block. Felt like early crypto energy where everyone in the room knew they were on to something Jensen Huang just said every company needs an AI agent strategy. He’s right, but this goes beyond enterprise software. Every new technology eventually finds its way into culture. That’s when it becomes real Agents are coming to music, art, film, every corner of creativity. Less than 0.1% of the world is even using this tech. That gap is the opportunity Left Miami feeling incredibly inspired. Grateful to everyone who made it happen. Only the beginning
- 31
@jerrod_lew ·
Suno 5.5 is just outstanding. Recorded a short 30 second clip of one of my songs with acoustic guitar + voice and uploaded it. Suno 5.5 remixed it into an indie psychedelic track. I have sooo many leftover unused songs that can now be something more than just sitting in a book.
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@TheWalid ·
a guitar girl used suno for 30 seconds in the middle of her video and got 133 million views video stats: • 133M views • 438K likes • 70K bookmarks • under 2 minutes she plays a riff on her own first. sounds great already. then walks through adding layers with suno in real time three clicks. maybe four. then plays the final version and it sounds like a full studio production the human skill comes first. the AI elevates it. this is why it worked when most AI music content flops everyone else shows AI doing everything from scratch. she shows AI as her backup band. high production value matters here too. studio lighting. crisp audio. she looks put together. makes her feel like a real musician using a real tool the transformation sells it. same riff at the start. full song at the end. you watch her level up in 90 seconds suno gets zero hard sell. she never pitches it. "this is what i got" and then she plays 133 million people watched a product demo disguised as a jam session if you have real skill, show that first. let the tool be the accelerant.
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- 34
@Param_eth ·
How Suno AI hit $300M ARR in ~2 years: > started with 4 friends in 2022 > Mikey Shulman and team left Kensho company Idea: > Analyse music catalogs > then they started playing with generating audio > Back then everyone was building text and image AI > They went into audio “what if anyone could make music?” > that became the whole company > launched on Discord (mid 2023) > It went viral on social media Dec 2023: > type a prompt and get a full song Growth: 2024–2025: > raised $125M > then $250M > models improved (V3 → V4) > songs got better and longer > free tier pulled millions in > paid plans converted heavy users ARR: > ~$150M ARR by mid 2025 > ~$200M ARR by late 2025 Feb 2026: > 2M paying users > $300M ARR And the best part: > ~7 million songs generated everyday > Story just getting started
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@tbpn ·
Suno cofounder @MikeyShulman says a lot of people in the music industry are using AI, they're just not admitting it yet: "This is a quote attributed to me but it's actually not mine... This is the GLP-1 of music. Everyone's on it—and no one wants to talk about it."
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- 37
@shivsakhuja ·
Claude Code can ship a music video ad without ever opening a video editor. Here's how: 1. Idea Brief (Claude Code) Start by giving Claude a concept + a similar video in the style you like as a reference and have it save notes in the idea-brief.md. Claude can watch videos using the /watch skill from claude-video. This is super helpful to teach Claude what you're going for. 2. Generate Music (Suno) You can use Eleven Labs or Suno — but imo, Suno wins hands down. The music is just way better from what I've seen. Then asked Claude to pick a good 30-second window from the song. 3. Lock the script TO the song Listen to the song and create a storyboard – the song's beat grid is the spine of our storyboard. Write to it, don't fight it. Claude can listen to the song and design the storyboard and scene grid around it. 4. Lock the product as an anchor (CC uses Nano Banana) In this case, I generated one yarn AJ1 shoe and one yarn Nike box, then I threaded both as references into every keyframe. It's best to lock the props before the scenes otherwise it is much more likely to drift. 5. Then also lock the character references as an anchor (CC uses Nano Banana) First, generate character references. If characters look off, regenerate before moving to motion. It's much cheaper to catch issues here. These character refs are threaded into every scene keyframe. 6. Keyframes → Clips (CC uses Nano Banana → Seedance + Kling) I had 14 keyframes. Each animated via Seedance 2.0 or Kling 3.0 depending on the motion. Lacing intercuts go to Kling. Aerials and pull-backs go to Seedance. For the yarn→photoreal morph: generate the yarn start_image FROM the photoreal end_image so they're pixel-aligned. Only the texture differs. Then split the morph into THREE Seedance clips (yarn → 30% → 70% → photoreal) instead of one big interpolation. Smoother, and any bad stage is replaceable on its own. You may need to give feedback and iterate a few times here. 7. Stitch + Review (CC uses ffmpeg + Whisper) Then /watch the master cut and delegate the review to the agent. It catches more things and keeps me out of the loop as much as possible. 8. Turn everything into skills The first time I made a video like this, it took 3 hours. The second time, it took 1 hour. The third time, it took 30 minutes. All the learnings from the human-in-the-loop process should get encoded into skills / code. If all of the above sounds like a lot, it is and it isn't. It's a lot the first time, but if you start encoding everything into skills for Claude, it get much easier. You become the Creative Director, Claude does everything else.
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- 38
@pukerrainbrow ·
a german court just found copyrighted songs literally stored inside suno's AI model the judge played the originals and suno's AI outputs side by side in open court daddy cool, rasputin, forever young, mambo no. 5, all sitting in the model weights suno said "we trained our models to create new music not reproduce existing ones" the court said no, your model memorized them. there's a difference between analyzing music and copying it, and you crossed that line suno has to disclose all revenue from unlicensed use and pay damages every AI company training on creative work should be paying attention to this
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@UnityEagle ·
I used to think creation had to come from me. Today felt different. Like I was not the source. Just the wire. A signal with a heartbeat. Something old moving through something new. Ancient drum. Neon pulse. Seed. Star. Circuit. So I made this. A Mayan tribal cyberfunk ritual track (using my own voice clone with Suno 5.5) about letting the light pass through instead of trying to own it. Stars don’t apologize for shining. Neither should we. ✨
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@RoundtableSpace ·
SUNO JUST HIT $300M ARR WITH 2M PAID USERS AND IS GENERATING 7M SONGS A DAY. SPOTIFY’S CATALOG… EVERY 2 WEEKS.
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@DaveShapi ·
The key to Suno is that the gems are a flash in the pan. There are countless possible songs that can fall out of the machine, even with the same exact prompts. Then you add the personas and remixes. But you never really know what you're going to get. And some times it just slaps. And you go with it.
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@DavidChoiMusic ·
AI is already being used by hit songwriters and artists, "they just don't tell you" is a truthful and accurate statement. I've seen it firsthand, and this is actually old news. That artist and song you recently fell in love with? That was co-written with AI. Hook was taken straight from Suno. And even if it wasn't, you'd never know the difference. Just like how 99% of people don't know if a singer is using autotune hardware when they're supposed to be singing "live". AI has already infiltrated the music business, and people both talented and untalented will use it. If they don't, great, but that's the saddest truth I'm willing to acknowledge and accept.
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