Stoner NOW! 🎶 Premiere 🎥

Hello, everyone! 😎🎶

Anyone who follows me knows that I'm, among some other stuff, quite involved in music. I make lo-fi recordings of the bands I watch, write about my favorite music in #threetunetuesday, and follow fresh music and discover new bands in #newtunes.
Well, times are changing, and so are people. In recent years, we have even gained access to exceptional tools that enable us to create music, even for those who are less musically educated (which includes me).

And since I'm not a Luddite, I started using them myself. Yes, I'm talking about AI. For me, it's just a tool, an extension of my brain, in the sense that it allows me to expand into areas I've never been to before. Whether this tool will become self-aware or not, what will happen to us humans, I don't know. There is a lot of debate around this, but I don't want to debate about that here and now, just about creating music.

After a year and a half of occasional use of the SUNO platform (because there are so many other things that interest me, haha, and I'm still learning), I've put together an album of stoner rock, purely instrumental, without lyrics or vocals, but maybe that will come later :)
I have no intention of influencing music fans and their tastes in any way. My goal with this AI-generated music is primarily to see if I can achieve that "stoner feeling" while listening.

So, this is the premiere of Stoner NOW! on the Hive blockchain!

🎶
Stoner Now!

1. Stoned Veins Of Oblivion 0:00 (v3.5)
2. Secret Suno Stoner 03:49 (v4.0)
3. Tears In The Stoned Eyes 07:48 (v5.0)
4. Stoner Now! 10:59 (v4.0)
5. After Coffee Stoner 14:09 (v4.0)
6. Boogie Stoner 18:10 (v4.0)
7. Stoner for Breakfast 22:09 (v4.0)
8. Mind Belt Meltdown Stoner 26:10 (v4.5)
9. Heavy Wish Stoner 32:08 (v5.0)
10. Desert Jam Stoner 36:14 (v4.0)
11. Echoes In The Void Stoner 39:55 (v3.5)
12. Flash Desert Stoner 43:55 (v5.0)
13. Stoned Depths Of Wisdom 48:05 (v3.5)
14. Desert Mirage Stoner 51:01 (v3.5)

As for the technology, I used several different versions of SUNO AI. Each song is labeled with which version. I used five text prompts; short loop videos for visualization were created in SUNO using text-to-video or image-to-video prompts. Everything was put together in Adobe Premiere.

If you like something, it's OK, if not, forget it and skip it, but I'm open to debate about all of the above in the comments. Individual songs are available in the SUNO playlist.
By the way, this is my second album, I released a year and a half ago Easy Listening
@seckorama/ubuenwua

And this:
Did you know that around 112,000 new songs are released daily on global streaming services, not to mention all of them, as of July 2023 Source. Deezer, a smaller streaming platform, reports that it detects around 50,000 songs per day that are AI-generated, as of November this year. Source
If we look at the global picture, 20-30% of new songs are likely made with AI. What implications will this have? It's also a fact, at least as Deezer claims in the link above, that

97% of people can't tell the difference between AI and human-made music.

Thank you for your attention!

If you're curious about the fresh music, follow me on #newtunes
@seckorama/new-tunes-21-11-2025

or, take a look at my #threetunetuesday posts.
@seckorama/three-tune-tuesday-forever

Interested in rare and alternative live music?
Check out my recordings on the 3speak video channel

If you like jazz, I recommend @w74's blog Jazz-Matinee
@w74/jazz-matinee-music-should-be

Music4life!

The front image is mine, edited in Paint.NET with DPL Kaleidoscope Effect.

And here's something else:

Support and vote for those exceptional witnesses:
@good-karma, @liotes, @fbslo, @detlev.witness, and @stresskiller. They appreciate any help you can provide.