dadabots
@dadabots
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Jupyter notebook prompt jockeys. Eliminating humans from music. AI Death Metal. 🧠 Research @Harmonai_org 🔥🦇🔉 @NoiseDAO Artist @artblocks_io @braindrops_art
Boston / PVD / SAC / Berlin
Joined October 2017
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Send us removal request.
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Pinned Tweet
Big ❤️❤️ for everyone that came out to this weekend's sold-out algorave w/ Livecode Boston w/
@CharStiles
DJ Dave lofiscifi PEPPIN Swan & Switch Angel
@csteinmetz1
@_GenArtworks_
@DBochman
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These slogans from the 1930s protesting the use of recording music in films are amazing -- I love this evil robot.
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We released Stable Audio Tools repo!
Basically it's our training code for large latent diffusion audio models:
- conditional/unconditional
- autoencoders (vae, rvq, dac/encodec/oobleck)
- json configs
- gradio inference
- model parallelism
- no models yet
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stable audio 2.0 is out, lets you do audio2audio
Introducing Stable Audio 2.0 – a new model capable of producing high-quality, full tracks with coherent musical structure up to three minutes long at 44.1 kHz stereo from a single prompt.
Explore the model and start creating for free at:
Read the
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Audio diffusion is powerful. Progress is fast. STOKED to hear what the music community will do. Beware! You will be handed the easy route. Don't be stifled. STEP UP and (1) invent new subgenres & build communities around them (2) break the code, make it do things no one imagined
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updated the classic music production meme "I thought that using loops was cheating"
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🎉 Announcing v1.0 🥳
- 95 second music generation
- Latent diffusion model (like stable diffusion)
- Can do genre fusions
- Trained by
@harmonai_org
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woo everybody cheer on lucidrains let's gooooo
👏👏👏👏
MuLan is the key to MusicLM, it was trained on 44million songs
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World is about to witness cambrian explosion of new music styles (b/c of neural synthesis) and I couldn't be more stoked. Secondary driver: synthesis finally sounds organic (e.g. full bands & instruments in any genre). Primary driver: it can do weird combinations & stuff beyond
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you ask "fav band?" she gives you a 512-dimensional latent embedding
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Our most powerful 3 minute music generating model was using 32GB of VRAM. Just did some optimizations to fit under 8GB. Insane. It will run even if your GPU is mid.
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Today Zack Z officially joins Harmonai! 🥳🎉Both Dadabots are in. We're unstoppable. Get ready for the awesome sauce, get your . .get your snorkels ready, or scuba gear, cuz. . we swim w/ the best Zacks in town and the best Zacks all around! 🌊🌊🌊🤿
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Just finished assembling
#DadaGP
v1.0 --- a tokenized symbolic music dataset of 26181 GuitarPro songs. Totaling 115M tokens, about as big as WikiText-103. Includes GuitarPro5 encoder/decoder. Who wants to train a generator?
#nlp
#mir
#languagemodel
#transformer
@huggingface
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Announcing Stable Audio 2.0 paper!
- DiT beats U-net
- Autoencoder compression ftw
- Achieved 4:45 long window (better at song structure than LMs)
- is fast
We've released our paper on the model behind Stable Audio 2.0!
Our model can generate high-fidelity music with lengths up to 4 minutes 45 seconds.
Paper:
Demos:
SoundCloud:
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Just realized how much I resonate with this Miles Davis quote. . in terms of using ML. From bands, to electronic music, to algorithms, to AI, to me it's obvious this is the trajectory of sounding more like myself. Poignant b/c seems ridiculous to some. Anyone else feel this way?
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holy shit my dude trained an embedding on 120M+ iTunes previews to do sound-based recommendation
✨ Introducing Maroofy
Search for any song & it'll use the song's audio to find similar-sounding music.
🧠 Powered by an AI model trained on 120M+ songs, for 🔥 recommendations.
@_buildspace
@fdotinc
@FarzaTV
🔊 Demo + link below!
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Meta releases a music generator. It's a similar class of model to MusicLM: transformer makes a sequence of VQVAE tokens. It's 32kHz mono.
Samples:
Code:
Paper:
Code MIT license. Model is CCBYNC.
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We made a documentary. Here's the trailer
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Sad to announce, due to economic and US regulatory conditions, Dadabots will be shutting down. Our runway dried up Q4 and we’ve been running on fumes. After a long discussion with the board and investors, we decided it was best to sunset the company. 😭😭
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"I think it's probably a good thing if computers just take over music" Mike Patton in 1992
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we're in the awkward 1980s phase of ai music
everyone has discovered synthesizers but uhh
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It's official. We're PhD advisors at Queen Mary University! Stoked to make fricking awesome AI music projects with
@umpedronosapato
at
@c4dm
@CDT_AI_Music
for
@ismir2021
& beyond -- Check out the program here, they have fully funded PhD programs>>>
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while you guys were in Marfa or Lost Lands I was here in this corner at an empty rave in an abandoned hotel, listening to harsh noise, deep in the liminal spaces
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JK zack and I are a band. We’re not a company. We make music out of compulsion. It’s the only thing that makes us happy. We’ll play until we die. And we’ll find a way after we die too 💀
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Grimes: "The most most important issue with AI music isn't who gets paid (which is what most music producers have been vocally concerned about) . . but the atrophy of human learning"
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Our latest paper just got accepted via peer review. It details a new scientific procedure combining neurofeedback, RLHF, raw audio neural synthesis, and Rick Rubin's brain. Here's a clip from the preprint on arXiv
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Two years ago
@EMostaque
rented a huge GPU cluster & pulled the DIY ML community onto it, boosting the efforts of self-motivated, resource-constrained creative coders like us working on open source. Legend.
Seconded, I can't thank
@EMostaque
enough for bringing me on at
@StabilityAI
. He's a real one, don't believe everything that you read.
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🎉🥳 Woooooooooo 🎉🥳
We made it into Time magazine's Best Inventions of 2023 🙏 There were 14x AI inventions, 3x of which were music along w/
@AudioshakeAI
(congrats Jessica!) and So-VITS-SVC (singing voice deep fakes)
Stable Audio in TIME magazine's "Best Inventions of 2023"! It was a blast being part of the R&D team on this.
Congrats
@zqevans
,
@ednewtonrex
,
@dadabots
,
@harmonai_org
,
@StabilityAI
. 🎉
#LicensingData
#AIEthics
#441kHz
#stereo
Timely for
@AESorg
too!
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Our second paper, “Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands” published @ MuMe 2018 (ICCC 2018)
Paper
Music
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We’re more resilient than any company, cuz we’re driven by madness
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One of the most annoying parts of popular press AI narratives is a belief corporations are leading the culture
. . yuck! 🤢
have you not paid attention to how the culture evolves out from open source communities, github repos, hackathons, artist communities, hackerspaces?
🧵
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I've learned many instruments, but voice is the most immediately expressive. In this sick video, Ummet Ozcan uses Musicfy's couple dozen (RVC?) instrument models.
Lately I've been beatboxing into our prompt models that generate full bands/subgenres. Can't wait to share more!!
voice to music
we just launched a feature that allows you to sing and turn your notes into any instrument you want
pretty cool to see how AI is giving humans the ability to do things they never could before
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Free to remix, Public Domain, 12 hours of ai FUNK
For every music producer that got started sampling funk records, but couldn't afford licensing fees, and had to change their style out of fear of getting sued
#PublicEnemy
@keyonchrist
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OK ai music twitter, it's been months of us using the latest cohort of models. Who invented new genres? Share your examples
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THIS IS AWESOME. Nendo is like the Echonest Remix API, but updated to modern neural nets. It's what it would've become if it weren't shutdown in the Spotify acquisition. I highly recommend playing w/ Nendo colab and digging into automatic-remix plugin design. BRING ON THE BOTS.
Introducing Remix - a tool made with Nendo that generates remixes of any song in any style. Upload a song or YT video & have fun! (For research purposes only. Usage is at your own risk)
Colab:
Repo:
Examples in this thread
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doesn’t matter if this is all a simulation, because music is music no matter what
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oh fuck i just invented a new kind of audio synthesis.
it's a program that generates music, but for a unique kind of microprocessor
and the music that comes out is unlike most music (yet), catchy in its own way.
made some beautiful pieces already! stay tuned
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We'd like to thank the music industry for making AI feel naughty & taboo 🙏
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Don’t you love it when open source is winning the race
The Stable Diffusion 3 paper is here 🥳
I think my colleagues have done a great job with this paper so thought I'd do a quick walk-thru thread (1/13)↓
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go download the Mr Bill artist brain. we trained it on 200GB of his sound design samples
My Artist Brain is now available for download. 🧠
Combobulator by DataMind Audio is a real-time neural audio synthesis plugin. Input any audio signal, and the AI, ethically sourced and trained on artist-created datasets, will recreate the timbre in real-time.
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I’ve been dreaming of self-similarity conditioning for a long time, this is my first time hearing it :), great job!!
Fine-grained control/editing in text-to-music diffusion models w/NO TRAINING?
Presenting DITTO: Diffusion Inference-Time T-Optimization for Music Generation
📖:
🎹:
w/
@McAuleyLabUCSD
@BergKirkpatrick
@NicholasJBryan
🧵
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DONT prompt for what you want. A secret to getting a unique sound in a subgenre (that doesn't sound like others in the subgenre) is to NOT prompt for that subgenre, but instead triangulate it from the flanks by mixing opposing influences which can derive it.
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I did a thing
Special Week One Announcement ❤️🔥
Bonus Drop from audio visionary
@keyonchrist
The first sounds made with quantum machine learning are Shōyu's first audio-based NFTs.
Listen to history, next week 🎧🎚
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Falling asleep to a neverending stream of new music generated from my own GPU — in any weird fusion genre i think of — 🥲 I found my happy place, I can drop out of society, I don’t need the internet anymore
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I used to think pop music was too boring, simple, uninteresting. Until I tried producing it myself at the same level of quality. The uninitiated ear isn't yet tuned to appreciate the audio engineering. Big dunning-kruger effect. (In that way it's just like jazz & classical :P)
no amount of classical theory could have prepared me for the hell of music production
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because every art movement and genre was definitely immediately accepted by everyone as soon as it came out.
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The judges voted us
#1
, we won the Jury Vote for AI Song Contest 2023! 🥳 But congrats to "How would you touch me?" for surpassing us on points w/ the televote🎉
Proud of everyone who worked hard to make awesome music. Fun hanging w/ the teams, hope to see you meatspace!!
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Recent papers I'm excited about on controlling diffusion models w/ musicality:
-
-
-
Ideas from image diffusion that seem promising for music:
-
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we got new model
it good
📢 New model! 📢
As a festive treat, we’re giving pro users access to the beta version of our improved model. 🎄🎵
Generate your best music tracks yet from short and long descriptive prompts.
Currently outputs are 45 seconds. Much longer soon...
🧵
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Shoutout to all the lurkers who never engage but inspired by the magic ✨✨
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I'd like to thank our awesome team for being the awesomest team to ever awesome by saying only just one thing: thx for being awesome you guys 🙏
@zqevans
@jordiponsdotme
@dadabots
@drscotthawley
@ODDsWithTheReal
We’ve released our full paper on on the Stable Audio model 💿
arXiv:
Code: …
Metrics:
Demo: …
🧵
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I made a Jupyter notebook to start experimenting with qubit audio synthesis.
The advances in audio models are crazy, a real quantum leap (also quantum music models exist..).
I think 2022 was year of image, 2023 text, 2024 3D & audio, 2025 all of them come together.
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back in our day we didn't have ai 👴 we used REAL synthesizers. . .to sound like drums
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Since 2019, it's possibly the longest continuous livestream on YouTube. I just ssh'ed into the server to render some WAVs, accidentally rendered an INFINITE amount, filled the disk to 100%, almost f^&*ed up the whole experiment 💀 Saved it tho. All good!
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DADABOTS ALGORAVE WORLD TOUR 2024
finland, LA, geneva (UN!!), austria
WHO ELSE WANTS US
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@FFmpeg
made the longest running continuous 24/7 livestream on youtube—- 5 years of ai generated death metal
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Playing with the world's most fun toy before everyone else gets to 🧠🎶
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The Creative Adversarial Network is kinda like the opposite of a conditional GAN -- it tries to generate realistic examples that don't fall into known classes/styles/genres -- here Nao Tokui applies it to beats -- and they sound crazy
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Most ppl listen to generative music outputs through lens of expectation w/ what they already know -- but the new breed of artists are hearing it for what it is and running with it. Understanding the feeling, matching visuals, context, story. Artists who are based I salute you🫡
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🤘 Stoked to be quoted Ableton's blog
(Field moves fast though. Full songs generated in a couple minutes now with best quality methods.)
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Symphonic Black Metal but the settings on the neural net were tweaked so it sounds like vikings encountering aliens. (soon)
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using audio2audio like an fx pedal
Electric guitar pickup shipping from Amazon: a few days
Stable Audio model: a few seconds!
@dadabots
:)
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Writing neural network code using ChatGPT, asking it to explain the code, asking it to add features, having the code it writes works-- giving me a "this is a spooky good" moment
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Made a script for automating
@udiomusic
from python.
- download the py file here
- paste in your login cookie (instructions in the file)
- in a terminal window:
python3
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I ruptured my ACL in an archspire moshpit. Just received an allograph to replace it with donor tissue from a dead body. I am now part cadaver. Also part metal. Thank you 🙏
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Dedicated to anyone afraid of generative AI, dreading a degenerate dystopia of fast food AI art, hating on musicians using machine learning in their production, or anxious about all-powerful machines surpassing the human capacity for imagination
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robots are the most human thing imaginable
name one animal with robots
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Grimes: "The thing that freaks me out is that AI can remove incentives for learning"
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"fine-tuning MusicGen without prompts to generate music with a specific style .... thanks to Dadabots for the inspiration." thanks for the cool repo Jonas Massa!
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genai +apps+ are only temporary. the inevitable equilibrium of AI is open source. you will run them on your own computer or phone. you will not even need internet.
you will run open LLMs not chatgpt.
you will tune bespoke ai music models and listen to their infinite streams.
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amazing sounds from Dance Diffusion
having alot of fun training AI models to generate bass sounds, getting some cool results now. Heres some clips of my models dub_neuro and dub_modern:
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ChatGPT is awesome. From matlab to numpy to pytorch, impenetrably written DSP functions like this are everywhere. What does it do and why? I have no f^%$ing idea. Paste it into chatGPT and ask it to re-write it clearly with comments. It can explain the PURPOSE of each line. Voila
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We just used neural nets to fuse the production of deathcore and with the rhythm funk -- and more -- results are fucking amazing -- over a dozen albums coming soon
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if you think Music has become stale, w/ novel ideas slow/lacking —- neural synthesis is extremely the antitode 🤘
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EDM has been achieved internally
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I like AI music tracks that include a healthy amount of "AI weirdness". Because SURE it's a benchmark to create something indistinguishable from real, and it's fun to revel in the mischief, but it's beautiful to take music somewhere it hasn't gone yet. Keep ai music weird.
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