∿ Music hackers. Algoraves. Inventing, playing. Neural synthesis. 24/7 ai death metal. Stable Audio team. Open models. Mischief @harmonai_org @artblocks_io

Boston
Joined October 2017
🥳 Announcing Stable Audio 3 🍕 🏆 fastest music models ever 💻 runs on MacBookPro M-series 🧪 break it plz 🧠 LoRA finetune in < 1h 📷 Sm = faster, Medium = qualityer ⚡ 59x realtime on M5 Pro One-liner fast install: curl -LsSf dadabots.com/_/sa3-mac | bash
Meet Stable Audio 3.0, the open-weight model family built for artistic experimentation. This is our open invitation to experiment with generative audio. We believe the best innovations are still waiting to be built. The 4-1-1 on 3.0: 📣 You own your outputs, and can distribute and commercialize them under the Stability AI Community License (up to $1 million in revenue). 🎵 New and improved capabilities include variable-length generation up to six minutes, and full song composition on portable devices, no GPU required. ✅ Trained on a fully licensed dataset. 🎨 You can customize the models on your own library with support for LoRa training, which we’ve documented for the first time. More on the models 👇
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did anyone want a vst3
randomizable tearout noise farm
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We released the code and model weights here: github.com/ayushjain1144/tra…. Have fun! 🙂
1/ We introduce TrackEverything: a 3D point tracker that tracks all points across all frames of long videos (1000+ frames). Our key idea is to tie computation to unique 3D scene content rather than redundant 2D pixels in a video. trackeverything.github.io
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Speech can survive being flipped backward every twenty milliseconds. The same speech in backward pieces of 200 then 100 then 50 then 20 milliseconds. The original comes last. When do the words become clear? A listening demo from @OrukLabs.
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underfit in action
things i'm working on today: - making my song - trying to fine tune @dadabots' underfit, using claude ultracode to help me get a clean songaday dataset (i've tried this about half a dozen times in the last 2 years on various open source repos to no avail - it all comes out gobbledygook and not in an interesting way) - making an autoclipper a la opus for the new podcast me and @bigvibessss are starting - recording with @bigvibessss later - working on the 3rd level for p(doom), thinking about issuing a challenge for people to be able to earn tokens [2PLF955KTb7CDpHbA5VZH8CgunkvWqfic9wufwJFpump] - working on a plugin that makes it so i can drop my vocals in and it converts them to speech synthesis computer singing voice (a long held dream of mine) - integrating some more enemies into wamp to take advantage of our new "boss" feature - working through a huge checklist of things to add/fix in wamp
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Can diffusion models generate high-quality images without CFG? Yes! We introduce ✨Correction Training for Diffusion Models✨, which significantly improves sample quality without relying on classifier-free guidance. Project page: sunovivid.github.io/correcti… 🧵 (1/n)
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Open weights = open playground 🎵 Huge thanks to @StabilityAI @stableaudio @dadabots and the rest of the open audio crews and more for dropping the weights. Currently fine-tuning on some beats and having way too much fun with it. Open source for the win. Always.
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(Spread)sheet music
What if spreadsheets but each equation is a shader that runs in that cell and can reference other cells?
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(Electronic music) Ok so every album/EP/mix of yours is now just a LoRA dataset. The point of making albums now is just to have the LoRAs. And you mix them live, creating new variations of your music. Every show surprises you. Every live show is now super different and rare. Yet within the variance of your world. Familiar but bizarro. Your capability for spontaneous improv is expanded. The audience can shout something never before uttered, or shove it your face on their phones, and you can ride the edge of chaos and let it influence the whole set. Maybe live you try to make your sets different by chopping your tracks on CDJs or remixing stems in ableton. Cool but that's not different the way this is different. Liminal separatrix spaces exist where it's unobvious where one track (or one artist) begins and another ends, bc the statistical distributions are intertwined. Even with mashups, it's obvious stems are distinct. Here the lines blur. Here you dissolve into the hivemind and reconstitute. Douglas Adams called probability the fifth dimension. What if you were equipped with the thrusters that propel you at will. Seems obvious.
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This site has a bunch of cool Earthquake Musification Instruments --wait i love this sos.allshookup.org/instrumen…
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A lot of ai music i encounter feels like it’s trying to pull me into its illusion.. In fact, the marketing narrative of the services feels that way too.. Where’s the ai music that feels illuminating? breaks free? shows us something real other music could not?
Replying to @EternitiesAI
yes. actual glitches have this feeling of breaking an illusion. you suspended disbelief, and now reality is cracking at the seams. behind the veil, the nature of the medium itself emerges. whereas the model imitating glitch music is it succeeding at the illusion.
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"in the oven" album art illustration wip by shanti payne
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If you’re producing music with ai & machine learning —> lean all the way into it, expose the wires, make it obvious, show us the ugly parts, show us it-being-itself. Make it glitch. Don’t just generate “glitch music”, or what it thinks is a glitch— show it Actually Glitching. Show it fucking up while trying not to fuck up. Push your process till it rips apart at the seams. Don’t rear view drive. Take us somewhere new, drive like a crazy person. Throw away the desire to become the idols of the past. Kill the rock star. The DJ. The singer-songwriter. This is hard. The controls exposed to you want you to rear view drive. It’s literally maybe the only thing it lets you do. It takes some genius to break it. Do the hard thing. Start with beginner’s mind. Trust your instincts. Reset.
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With everyone busily using LLMs + Blender/Three.js to make 3D models, I thought I'd try a different geometric representation. This dragon isn't a mesh, NeRF, 3DGS, or video model: it's 27kb of GLSL code (generated via LLM), defining a closed-form implicit surface. 🧵 [1/n]
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Coming to Marfa this year? 🌵 Thursday night documentary screening 🌵 Friday night Death Cumbia dadabots dance party 🌵 Saturday dadabots talk
Film Screening: Emergence in Marfa Thursday, 8pm, Oct 22, for Art Blocks Marfa Weekend An award-winning documentary, Emergence in Marfa is a cinematic inquiry into the human pulse driving the generative movement. Set against Marfa’s minimalist landscape, the film looks past algorithmic logic to examine code as a physical, philosophical, and expressive material, featuring conceptual icon Bernar Venet @BernarVenetArt, sensory pioneers A.A. Murakami @aa_murakami, and generative pioneer Mitchell F. Chan @mitchellfchan. Join director Logan Woodyard @loganxwoodyard alongside panelists Anna Carreras @carreras_anna, James Merrill @toThePixel, and Jeff Davis @jeffgdavis, for a panel discussion immediately following the screening. 🙏 @genartfound Watch the official trailer below 👇
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randomizable tearout noise farm
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we’re cooked I’m afraid
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