{
  "schema": "ab5d-dossier/1",
  "slug": "dadabots",
  "name": "dadabots",
  "subtitle": "Neural music, compressed code, and the sound of systems misbehaving",
  "lede": "dadabots treat music as a programmable organism. In ♫ ByteBeats, that practice becomes compact on-chain code, with 512 editions that synthesize sound and image from terse mathematical expressions.",
  "url": "https://ab5d.xyz/artists/dadabots/",
  "bibliography_url": "https://ab5d.xyz/artists/dadabots/links/",
  "content_url": "https://ab5d.xyz/api/artists/dadabots.json",
  "updated": "2026-07-08",
  "tier": "standard",
  "editions": 512,
  "collections": 1,
  "otdh": {
    "rank": 129,
    "score": 14514,
    "collector_identities": 230,
    "holder_addresses": 233,
    "projects": 1,
    "current_works": 509,
    "raw_collector_days": 789825,
    "median_project_hold_days": 1849,
    "snapshot_at": "2026-09-14T00:00:00.000Z",
    "methodology_url": "https://ab5d.xyz/artists/otdh/",
    "api_url": "https://ab5d.xyz/api/otdh/dadabots"
  },
  "identity": {
    "artist": "dadabots",
    "website": "http://dadabots.com/bytebeats/",
    "based": "Formed 2012, Boston, Massachusetts. Based in Boston and Sacramento, US",
    "practice": "Neural synthesis, generative music, live coding, machine learning research, hackathon culture, and on-chain audiovisual systems",
    "now": "Co-developing AI music tools, live neural synthesis performances, open research, and long-running generative livestreams",
    "raster": "https://www.raster.art/artist/dadabots",
    "otdh": "[14,514 · rank 129 of 308](/artists/otdh/#artist-dadabots)",
    "holding signal": "230 collector identities · 233 holder addresses · 789,825 raw collector-days · 14 Sep 2026",
    "collector tdh": "[dadabotsTDH](/artists/dadabots/dadabotstdh/) · dashboard"
  },
  "socials": {
    "website": "http://dadabots.com/bytebeats/",
    "x": null,
    "instagram": null
  },
  "profile_image_url": null,
  "profile_image_source": null,
  "works": [
    {
      "name": "♫ ByteBeats",
      "editions": 512,
      "supply": 512,
      "artblocks_slug": "bytebeats-by-dadabots-x-kai",
      "url": "https://www.artblocks.io/collection/bytebeats-by-dadabots-x-kai"
    }
  ],
  "sections": [
    {
      "heading": null,
      "paragraphs": [
        "dadabots is the collaborative project of CJ Carr and Zack Zukowski, a duo whose public language oscillates between band, research lab, hackathon team, and machine learning studio. Their work begins from a refusal to separate music from software: they make tools, train models, build listening systems, and then perform through those systems. Profiles of the duo trace their origins to Berklee College of Music and Music Hack Day MIT in 2012, grounding their practice in musicianship before it moved into code, neural networks, and live generative performance.",
        "The project's notoriety first formed around neural synthesis rather than image generation. dadabots trained models on extreme musical idioms such as black metal, math rock, punk, and free jazz, then released albums and livestreams that sounded like degraded genre memories being reconstructed by an alien ear. Their research paper Generating Black Metal and Math Rock: Beyond Bach, Beethoven, and Beatles describes the use of a modified SampleRNN architecture to generate raw audio directly in the time domain, an approach that mattered because timbre, distortion, density, and space are not decorative in these genres, they are the composition itself.",
        "> dadabots make the machine audible not by hiding its errors, but by letting its artifacts become musical material."
      ]
    },
    {
      "heading": "From neural synthesis to bytebeat culture",
      "paragraphs": [
        "The early dadabots position was not simply that AI could imitate music. It was that machine learning could expose hidden assumptions inside genre, authorship, and style. Their second research line, Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands, presents album generation as a proof of concept for machine-assisted production, including generated artwork and titles, while still distinguishing between fully automated and human-curated approaches. This distinction remains central to their mature work: the system is never just autonomous, and the human is never simply outside it.",
        "Their public FAQ described dadabots as a cross between a band, a hackathon team, and an ephemeral research lab, a formulation that helps explain why their output appears across papers, livestreams, collaborations, competitions, talks, music releases, and NFTs. The press page and project archive document a practice that treats publication and performance as part of the same circuit: papers lead to code, code leads to streams, streams lead to collaborations, and collaborations feed back into new methods.",
        "♫ ByteBeats, created with KAI and released through Art Blocks Factory on 2 April 2021, condenses this history into a blockchain-native form. Art Blocks records the collection as 512 unique artworks by Kaigani Turner (KAI) and dadabots. Verse describes the project's premise with unusual precision: generative music in 40 to 140 bytes on-chain, where bytebeat expressions synthesize audio and video through bitwise operations. The work therefore belongs to both generative art and generative music, but it does not illustrate one with the other. Sound and image share a common computational source."
      ]
    },
    {
      "heading": "The on-chain instrument",
      "paragraphs": [
        "Bytebeat music has a compactness that suits blockchain art. A short mathematical expression can produce a stream of samples, often crude, buzzing, rhythmic, and surprisingly musical. In the dadabots and KAI implementation, that compression is not nostalgia for early computing alone. It becomes a way to ask how little code is required for an artwork to feel alive. Each edition of ♫ ByteBeats is therefore a tiny instrument, an encoded audiovisual score, and a collectible output of an on-chain system.",
        "The project sits at a productive distance from dadabots' neural work. SampleRNN and diffusion models are heavy, data-hungry systems that learn by ingesting large corpora. Bytebeat code is small, explicit, and procedural. Yet both methods share a fascination with emergent excess: a tiny formula or a trained model can generate more output than a human could reasonably precompose. This is the bridge between ♫ ByteBeats and the later dadabots language of infinite livestreams, prompt jockeying, and genre engines.",
        "dadabots' long-running livestreams made this tension visible to a broader audience. Press coverage of Relentless Doppelganger described a 24/7 AI death metal stream generated by a neural network, an event that turned research into an ambient public spectacle. Other outlets framed the work through the uncanny persistence of the system, noting that the software could churn out technical death metal in real time while listeners gathered around the stream. These reports sometimes sensationalized the work, but they also registered its central innovation: dadabots changed AI music from a file into a situation."
      ]
    },
    {
      "heading": "Collaboration, performance, and institutions",
      "paragraphs": [
        "The duo's work has repeatedly entered institutional and interdisciplinary contexts. The Bell Labs and Reeps One collaboration We Speak Music positioned machine learning and generative audio as performance tools, not merely studio utilities, and connected dadabots to histories of experiments in art and technology. A related account of Reeps One's project described how Dadabots could model a vocal essence, producing speech-like output that sounded like the performer without simply repeating recorded language. In these settings, the voice became both source material and contested identity.",
        "Their public interviews also clarify the ethics of their practice. In the FAST45 interview, Carr and Zukowski present themselves as musicians, machine learning researchers, programmers, and hackers, emphasizing the hybrid nature of the work rather than claiming machine autonomy as a spectacle. In a later Art Blocks Marfa interview, dadabots linked their roots in metal, punk, and electronic music to their continuing interest in lo-fi sounds, live neural synthesis, and the Art Blocks community. These statements matter for ♫ ByteBeats, because the project can be misread as a technical novelty when it is better understood as a compact expression of a larger performance philosophy.",
        "dadabots have also appeared within broader debates about AI music. TIME placed them among artists exploring AI as a creative collaborator, quoting Carr on the value of weird, broken, and unfamiliar sound. Pitchfork's wider account of musical AI supplied the cultural background against which dadabots emerged, a field concerned not only with composition, but with imitation, authorship, taste, and the limits of machine style. The dadabots answer to that field is not polished automation. It is noisy, unstable, genre-literate, and deliberately excessive."
      ]
    },
    {
      "heading": "After Art Blocks",
      "paragraphs": [
        "Since ♫ ByteBeats, the duo's work has continued to expand. The AI Song Contest pages document dadabots entries across multiple years, including accounts of human-AI process, model building, genre fusion, and open-source commitments. Their music archive lists projects such as PROMPT JOCKEYS, PHỞ QUEUE LIVE, Bandschleifer, Nuns in a Moshpit, and I Throw My Things Down The River, showing how the project moves between contests, livestreams, collaborations, albums, and experimental tools.",
        "The later technical lineage reaches Stable Audio. Stability AI's 2024 announcement describes Stable Audio 2.0 as a system capable of generating structured songs up to three minutes long, while the 2026 Stable Audio 3 paper, co-authored by CJ Carr and Zack Zukowski, presents fast latent diffusion models for variable-length audio generation and editing. The continuity is striking: from raw SampleRNN experiments, to byte-sized on-chain instruments, to diffusion-based music systems that run at consumer scale, dadabots have repeatedly worked at the point where research infrastructure becomes cultural form.",
        "Within AB[500], ♫ ByteBeats is significant because it insists that Art Blocks history is also a history of sound. Its 512 editions are not silent images with musical associations, but audiovisual computational objects. They connect early bytebeat minimalism to NFT-era on-chain generativity, and they connect Art Blocks to a longer experimental lineage of hackers, musicians, neural networks, and live systems. dadabots' contribution is to make the artwork behave like a machine you can listen to."
      ]
    }
  ],
  "body_markdown": "dadabots is the collaborative project of CJ Carr and Zack Zukowski, a duo whose public language oscillates between band, research lab, hackathon team, and machine learning studio. Their work begins from a refusal to separate music from software: they make tools, train models, build listening systems, and then perform through those systems. Profiles of the duo trace their origins to Berklee College of Music and Music Hack Day MIT in 2012, grounding their practice in musicianship before it moved into code, neural networks, and live generative performance.\n\nThe project's notoriety first formed around neural synthesis rather than image generation. dadabots trained models on extreme musical idioms such as black metal, math rock, punk, and free jazz, then released albums and livestreams that sounded like degraded genre memories being reconstructed by an alien ear. Their research paper Generating Black Metal and Math Rock: Beyond Bach, Beethoven, and Beatles describes the use of a modified SampleRNN architecture to generate raw audio directly in the time domain, an approach that mattered because timbre, distortion, density, and space are not decorative in these genres, they are the composition itself.\n\n> dadabots make the machine audible not by hiding its errors, but by letting its artifacts become musical material.\n\n## From neural synthesis to bytebeat culture\n\nThe early dadabots position was not simply that AI could imitate music. It was that machine learning could expose hidden assumptions inside genre, authorship, and style. Their second research line, Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands, presents album generation as a proof of concept for machine-assisted production, including generated artwork and titles, while still distinguishing between fully automated and human-curated approaches. This distinction remains central to their mature work: the system is never just autonomous, and the human is never simply outside it.\n\nTheir public FAQ described dadabots as a cross between a band, a hackathon team, and an ephemeral research lab, a formulation that helps explain why their output appears across papers, livestreams, collaborations, competitions, talks, music releases, and NFTs. The press page and project archive document a practice that treats publication and performance as part of the same circuit: papers lead to code, code leads to streams, streams lead to collaborations, and collaborations feed back into new methods.\n\n♫ ByteBeats, created with KAI and released through Art Blocks Factory on 2 April 2021, condenses this history into a blockchain-native form. Art Blocks records the collection as 512 unique artworks by Kaigani Turner (KAI) and dadabots. Verse describes the project's premise with unusual precision: generative music in 40 to 140 bytes on-chain, where bytebeat expressions synthesize audio and video through bitwise operations. The work therefore belongs to both generative art and generative music, but it does not illustrate one with the other. Sound and image share a common computational source.\n\n## The on-chain instrument\n\nBytebeat music has a compactness that suits blockchain art. A short mathematical expression can produce a stream of samples, often crude, buzzing, rhythmic, and surprisingly musical. In the dadabots and KAI implementation, that compression is not nostalgia for early computing alone. It becomes a way to ask how little code is required for an artwork to feel alive. Each edition of ♫ ByteBeats is therefore a tiny instrument, an encoded audiovisual score, and a collectible output of an on-chain system.\n\nThe project sits at a productive distance from dadabots' neural work. SampleRNN and diffusion models are heavy, data-hungry systems that learn by ingesting large corpora. Bytebeat code is small, explicit, and procedural. Yet both methods share a fascination with emergent excess: a tiny formula or a trained model can generate more output than a human could reasonably precompose. This is the bridge between ♫ ByteBeats and the later dadabots language of infinite livestreams, prompt jockeying, and genre engines.\n\ndadabots' long-running livestreams made this tension visible to a broader audience. Press coverage of Relentless Doppelganger described a 24/7 AI death metal stream generated by a neural network, an event that turned research into an ambient public spectacle. Other outlets framed the work through the uncanny persistence of the system, noting that the software could churn out technical death metal in real time while listeners gathered around the stream. These reports sometimes sensationalized the work, but they also registered its central innovation: dadabots changed AI music from a file into a situation.\n\n## Collaboration, performance, and institutions\n\nThe duo's work has repeatedly entered institutional and interdisciplinary contexts. The Bell Labs and Reeps One collaboration We Speak Music positioned machine learning and generative audio as performance tools, not merely studio utilities, and connected dadabots to histories of experiments in art and technology. A related account of Reeps One's project described how Dadabots could model a vocal essence, producing speech-like output that sounded like the performer without simply repeating recorded language. In these settings, the voice became both source material and contested identity.\n\nTheir public interviews also clarify the ethics of their practice. In the FAST45 interview, Carr and Zukowski present themselves as musicians, machine learning researchers, programmers, and hackers, emphasizing the hybrid nature of the work rather than claiming machine autonomy as a spectacle. In a later Art Blocks Marfa interview, dadabots linked their roots in metal, punk, and electronic music to their continuing interest in lo-fi sounds, live neural synthesis, and the Art Blocks community. These statements matter for ♫ ByteBeats, because the project can be misread as a technical novelty when it is better understood as a compact expression of a larger performance philosophy.\n\ndadabots have also appeared within broader debates about AI music. TIME placed them among artists exploring AI as a creative collaborator, quoting Carr on the value of weird, broken, and unfamiliar sound. Pitchfork's wider account of musical AI supplied the cultural background against which dadabots emerged, a field concerned not only with composition, but with imitation, authorship, taste, and the limits of machine style. The dadabots answer to that field is not polished automation. It is noisy, unstable, genre-literate, and deliberately excessive.\n\n## After Art Blocks\n\nSince ♫ ByteBeats, the duo's work has continued to expand. The AI Song Contest pages document dadabots entries across multiple years, including accounts of human-AI process, model building, genre fusion, and open-source commitments. Their music archive lists projects such as PROMPT JOCKEYS, PHỞ QUEUE LIVE, Bandschleifer, Nuns in a Moshpit, and I Throw My Things Down The River, showing how the project moves between contests, livestreams, collaborations, albums, and experimental tools.\n\nThe later technical lineage reaches Stable Audio. Stability AI's 2024 announcement describes Stable Audio 2.0 as a system capable of generating structured songs up to three minutes long, while the 2026 Stable Audio 3 paper, co-authored by CJ Carr and Zack Zukowski, presents fast latent diffusion models for variable-length audio generation and editing. The continuity is striking: from raw SampleRNN experiments, to byte-sized on-chain instruments, to diffusion-based music systems that run at consumer scale, dadabots have repeatedly worked at the point where research infrastructure becomes cultural form.\n\nWithin AB[500], ♫ ByteBeats is significant because it insists that Art Blocks history is also a history of sound. Its 512 editions are not silent images with musical associations, but audiovisual computational objects. They connect early bytebeat minimalism to NFT-era on-chain generativity, and they connect Art Blocks to a longer experimental lineage of hackers, musicians, neural networks, and live systems. dadabots' contribution is to make the artwork behave like a machine you can listen to.",
  "images": [
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      "title": "♫ ByteBeats",
      "caption": "2021, series",
      "rights": "Not CC0 - Art Blocks render, property of the artist/holders"
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      "rights": "Not CC0 - Art Blocks render, property of the artist/holders"
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      "title": "♫ ByteBeats",
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      "title": "♫ ByteBeats",
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      "title": "♫ ByteBeats",
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      "title": "♫ ByteBeats",
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      "title": "♫ ByteBeats",
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      "title": "♫ ByteBeats",
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      "rights": "Not CC0 - Art Blocks render, property of the artist/holders"
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      "title": "♫ ByteBeats",
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      "rights": "Not CC0 - Art Blocks render, property of the artist/holders"
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      "title": "♫ ByteBeats",
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      "rights": "Not CC0 - Art Blocks render, property of the artist/holders"
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  ],
  "references": [
    {
      "n": 1,
      "note": "ITU AI for Good gives a concise biography of CJ Carr and Zack Zukowski, including Berklee, Music Hack Day MIT, and DADABOTS' formation in 2012.",
      "url": "https://aiforgood.itu.int/speaker/dadabots/",
      "label": "ITU profile"
    },
    {
      "n": 2,
      "note": "The arXiv paper Generating Black Metal and Math Rock explains dadabots' modified SampleRNN approach to raw audio generation in extreme genres.",
      "url": "https://arxiv.org/abs/1811.06639",
      "label": "arXiv Black Metal"
    },
    {
      "n": 3,
      "note": "The arXiv paper Generating Albums with SampleRNN describes album-scale neural synthesis, generated titles, generated artwork, and human-curated versus automated methods.",
      "url": "https://arxiv.org/abs/1811.06633",
      "label": "arXiv Albums"
    },
    {
      "n": 4,
      "note": "The dadabots FAQ defines the project as a band, hackathon team, and ephemeral research lab.",
      "url": "https://dadabots.com/faq/",
      "label": "FAQ"
    },
    {
      "n": 5,
      "note": "The dadabots science archive lists their research publications and neural synthesis experiments.",
      "url": "https://dadabots.com/science/",
      "label": "Science archive"
    },
    {
      "n": 6,
      "note": "Art Blocks records ♫ ByteBeats by DADABOTS x KAI as a Factory collection of 512 unique artworks released on 2 April 2021.",
      "url": "https://www.artblocks.io/collection/bytebeats-by-dadabots-x-kai",
      "label": "Art Blocks collection"
    },
    {
      "n": 7,
      "note": "Verse describes ♫ ByteBeats as generative music in 40 to 140 bytes on-chain, synthesizing audio and video through bitwise operations.",
      "url": "https://verse.works/series/-bytebeats-by-dadabots-kai",
      "label": "Verse series"
    },
    {
      "n": 8,
      "note": "New Atlas reported on dadabots' AI death metal livestream and its continuous real-time generation.",
      "url": "https://newatlas.com/dadabots-death-metal-neural-network-livestream/59394/",
      "label": "New Atlas"
    },
    {
      "n": 9,
      "note": "The Verge covered the endless death metal livestream and the copyright questions around AI-generated music.",
      "url": "https://www.theverge.com/2019/4/27/18518170/algorithm-ai-death-metal-dadabots-live-stream-youtube-cj-carr-zack-zukowski",
      "label": "The Verge"
    },
    {
      "n": 10,
      "note": "R100 Studio documents We Speak Music as an arts and science collaboration between Reeps One, Dada Bots, and Bell Labs' E.A.T. program.",
      "url": "https://www.reeps100.com/works/we-speak-music-documentary",
      "label": "R100 Studio"
    },
    {
      "n": 11,
      "note": "Now Then Magazine discusses Reeps One's collaboration with Dadabots and the idea of modelling a vocal essence through deep learning.",
      "url": "https://nowthenmagazine.com/articles/reeps-one-speaking-music",
      "label": "Now Then"
    },
    {
      "n": 12,
      "note": "FAST45 published an interview with CJ Carr and Zack Zukowski about Dadabots, art school futures, music technology, and machine learning.",
      "url": "https://www.fast45.eu/art-school-futures/interview-with-dadabots",
      "label": "FAST45 interview"
    },
    {
      "n": 13,
      "note": "OpenSea published a Marfa Weekend interview with DADABOTS on AI music, live neural synthesis, and the Art Blocks community.",
      "url": "https://opensea.io/blog/articles/live-from-marfa-in-conversation-with-dadabots",
      "label": "OpenSea interview"
    },
    {
      "n": 14,
      "note": "TIME included Dadabots in a feature on musicians using AI to create otherwise impossible songs and sounds.",
      "url": "https://time.com/5774723/ai-music/",
      "label": "TIME"
    },
    {
      "n": 15,
      "note": "Pitchfork's essay on musical AI provides cultural context for AI composition, imitation, and collaboration.",
      "url": "https://pitchfork.com/features/overtones/10091-do-androids-dream-of-electric-guitars-exploring-the-future-of-musical-ai",
      "label": "Pitchfork"
    },
    {
      "n": 16,
      "note": "AI Song Contest 2025 documents a Dadabots entry and describes their human-AI process, Stable Audio use, and genre fusion methods.",
      "url": "https://www.aisongcontest.com/participants-2025/dadabots",
      "label": "AI Song Contest 2025"
    },
    {
      "n": 17,
      "note": "The dadabots music archive lists livestreams, albums, collaborations, contest works, and experimental AI music projects.",
      "url": "https://dadabots.com/music/",
      "label": "Music archive"
    },
    {
      "n": 18,
      "note": "The Stable Audio 3 arXiv paper lists CJ Carr and Zack Zukowski among the authors and describes fast latent diffusion models for variable-length audio generation.",
      "url": "https://arxiv.org/abs/2605.17991",
      "label": "Stable Audio 3"
    }
  ],
  "bibliography": [
    {
      "category": "In the AB[500]: Art Blocks",
      "entries": [
        {
          "note": "Art Blocks records ♫ ByteBeats by DADABOTS x KAI as a 512-edition Factory collection released in 2021.",
          "url": "https://www.artblocks.io/collection/bytebeats-by-dadabots-x-kai",
          "label": "Art Blocks",
          "meta": "collection · 2021"
        },
        {
          "note": "Verse describes ♫ ByteBeats as compact on-chain generative music and audiovisual bytebeat code.",
          "url": "https://verse.works/series/-bytebeats-by-dadabots-kai",
          "label": "Verse",
          "meta": "collection · 2021"
        }
      ]
    },
    {
      "category": "Interviews",
      "entries": [
        {
          "note": "FAST45 interviews CJ Carr and Zack Zukowski about Dadabots, music technology, and machine learning.",
          "url": "https://www.fast45.eu/art-school-futures/interview-with-dadabots",
          "label": "FAST45",
          "meta": "interview · 2022"
        },
        {
          "note": "OpenSea publishes a Marfa Weekend conversation with DADABOTS about AI music, live neural synthesis, and Art Blocks.",
          "url": "https://opensea.io/blog/articles/live-from-marfa-in-conversation-with-dadabots",
          "label": "OpenSea",
          "meta": "interview · 2025"
        },
        {
          "note": "Spotify hosts a podcast episode on Dadabots, CJ Carr, and the future of music.",
          "url": "https://open.spotify.com/episode/0p24ND0qx3fI3BIcnh4Vsv",
          "label": "Spotify",
          "meta": "interview · 2023"
        }
      ]
    },
    {
      "category": "Press and criticism",
      "entries": [
        {
          "note": "New Atlas covers Dadabots' 24/7 AI death metal livestream and its real-time neural generation.",
          "url": "https://newatlas.com/dadabots-death-metal-neural-network-livestream/59394/",
          "label": "New Atlas",
          "meta": "press · 2019"
        },
        {
          "note": "The Verge reports on Dadabots' endless death metal livestream and the legal ambiguity of AI music training.",
          "url": "https://www.theverge.com/2019/4/27/18518170/algorithm-ai-death-metal-dadabots-live-stream-youtube-cj-carr-zack-zukowski",
          "label": "The Verge",
          "meta": "press · 2019"
        },
        {
          "note": "Revolver covers Dadabots' Relentless Doppelganger and its deep-learning death metal stream.",
          "url": "https://www.revolvermag.com/music/hear-insane-247-livestream-ai-generated-death-metal/",
          "label": "Revolver",
          "meta": "press · 2019"
        },
        {
          "note": "Science Focus reports on the Dadabots channel and its continuous AI-generated death metal.",
          "url": "https://www.sciencefocus.com/news/artificial-intelligence-creates-never-ending-death-metal",
          "label": "Science Focus",
          "meta": "press · 2019"
        },
        {
          "note": "The Outline reviews Coditany of Timeness as a black metal album generated through neural network methods.",
          "url": "https://theoutline.com/post/2556/this-frostbitten-black-metal-album-was-created-by-an-artificial-intelligence",
          "label": "The Outline",
          "meta": "press · 2017"
        },
        {
          "note": "Real Life Mag discusses Dadabots, neural-network metal, and the cultural meaning of infinite death metal.",
          "url": "https://reallifemag.com/dispatches/infinite-death-metal/",
          "label": "Real Life",
          "meta": "criticism · 2019"
        },
        {
          "note": "TIME places Dadabots within a broader account of musicians using AI for new musical possibilities.",
          "url": "https://time.com/5774723/ai-music/",
          "label": "TIME",
          "meta": "press · 2020"
        },
        {
          "note": "Pitchfork surveys the future of musical AI and the cultural stakes of machine-generated music.",
          "url": "https://pitchfork.com/features/overtones/10091-do-androids-dream-of-electric-guitars-exploring-the-future-of-musical-ai",
          "label": "Pitchfork",
          "meta": "criticism · 2017"
        }
      ]
    },
    {
      "category": "Museums and institutions",
      "entries": [
        {
          "note": "ITU AI for Good profiles DADABOTS and summarizes their formation, research, livestreams, and Harmonai work.",
          "url": "https://aiforgood.itu.int/speaker/dadabots/",
          "label": "ITU AI for Good",
          "meta": "institution · 2025"
        },
        {
          "note": "R100 Studio documents We Speak Music, the Reeps One, Dada Bots, and Bell Labs collaboration.",
          "url": "https://www.reeps100.com/works/we-speak-music-documentary",
          "label": "R100 Studio",
          "meta": "institution · 2019"
        },
        {
          "note": "MuseumNext discusses AI-generated soundscapes in Museum Barberini's Music Walks project, a relevant institutional context for AI music in museums.",
          "url": "https://www.museumnext.com/article/how-ai-and-a-superstar-dj-are-transforming-museum-visits-at-the-museum-barberini/",
          "label": "MuseumNext",
          "meta": "institution · 2024"
        }
      ]
    },
    {
      "category": "Galleries and exhibitions",
      "entries": [
        {
          "note": "Kate Vass Galerie contextualizes Art Blocks Marfa Weekend as a recurring generative art gathering and exhibition platform.",
          "url": "https://www.katevassgalerie.com/blog/artblocks-marfa-weekend-milestones",
          "label": "Kate Vass Galerie",
          "meta": "exhibition · 2025"
        },
        {
          "note": "Decrypt reports on Art Blocks Marfa Weekend as a major gathering for artists, collectors, and digital art communities.",
          "url": "https://decrypt.co/199430/inside-art-blocks-marfa-weekend-digital-arts-latest-hotspot",
          "label": "Decrypt",
          "meta": "exhibition · 2023"
        }
      ]
    },
    {
      "category": "Essays, talks and podcasts",
      "entries": [
        {
          "note": "The dadabots FAQ explains the project's self-definition as band, hackathon team, and ephemeral research lab.",
          "url": "https://dadabots.com/faq/",
          "label": "dadabots FAQ",
          "meta": "essay · 2018"
        },
        {
          "note": "The dadabots science archive collects their neural synthesis research and related publications.",
          "url": "https://dadabots.com/science/",
          "label": "dadabots science",
          "meta": "archive · 2017"
        },
        {
          "note": "The Generating Black Metal and Math Rock arXiv paper details modified SampleRNN methods for raw audio generation.",
          "url": "https://arxiv.org/abs/1811.06639",
          "label": "arXiv",
          "meta": "paper · 2018"
        },
        {
          "note": "The Generating Albums with SampleRNN arXiv paper describes album-scale neural synthesis and machine-assisted production.",
          "url": "https://arxiv.org/abs/1811.06633",
          "label": "arXiv",
          "meta": "paper · 2018"
        },
        {
          "note": "The Stable Audio 3 arXiv paper documents later diffusion-based audio work co-authored by CJ Carr and Zack Zukowski.",
          "url": "https://arxiv.org/abs/2605.17991",
          "label": "arXiv",
          "meta": "paper · 2026"
        },
        {
          "note": "Stability AI introduces Stable Audio 2.0 and its structured long-form audio generation capabilities.",
          "url": "https://stability.ai/news-updates/stable-audio-2-0",
          "label": "Stability AI",
          "meta": "essay · 2024"
        }
      ]
    },
    {
      "category": "Auctions and catalogues",
      "entries": [
        {
          "note": "OpenSea's collection page indexes ♫ ByteBeats market activity and collection metadata for the secondary NFT context.",
          "url": "https://opensea.io/collection/bytebeats-by-dadabots-x-kai",
          "label": "OpenSea",
          "meta": "marketplace · 2021"
        }
      ]
    },
    {
      "category": "Profiles and archives",
      "entries": [
        {
          "note": "The dadabots music archive lists albums, livestreams, collaborations, AI Song Contest entries, and live projects.",
          "url": "https://dadabots.com/music/",
          "label": "dadabots music",
          "meta": "archive · 2024"
        },
        {
          "note": "Bandcamp hosts the dadabots music catalogue and identifies the project as two music hacker metalhead weirdos making generative music with code.",
          "url": "https://dadabots.bandcamp.com/",
          "label": "Bandcamp",
          "meta": "profile · 2024"
        },
        {
          "note": "AI Song Contest 2025 profiles DADABOTS' entry MF U UP and describes their human-AI production process.",
          "url": "https://www.aisongcontest.com/participants-2025/dadabots",
          "label": "AI Song Contest",
          "meta": "profile · 2025"
        },
        {
          "note": "AI Song Contest 2021 profiles Dadabots and their Berklee origin story.",
          "url": "https://www.aisongcontest.com/participants/dadabots-2021",
          "label": "AI Song Contest",
          "meta": "profile · 2021"
        },
        {
          "note": "Mondo profiles CJ Carr as one half of DADABOTS and summarizes the duo's formation and research history.",
          "url": "https://www.mondo.nyc/speakers-2022/cj-carr",
          "label": "Mondo",
          "meta": "profile · 2025"
        },
        {
          "note": "The Dadabots GitHub repository documents code accompanying their SampleRNN research.",
          "url": "https://github.com/dada-bots/dadabots_sampleRNN",
          "label": "GitHub",
          "meta": "code archive · 2018"
        }
      ]
    },
    {
      "category": "Video",
      "entries": [
        {
          "note": "The Dadabots YouTube channel hosts livestreams, videos, and public audiovisual experiments.",
          "url": "https://www.youtube.com/c/dadabots_official",
          "label": "YouTube",
          "meta": "video · ongoing"
        },
        {
          "note": "CONVO EP2 features a long-form video discussion of Dadabots' origins, creative process, neural synthesis, and Web3 work.",
          "url": "https://www.youtube.com/watch?v=4WEfOk8kSNY",
          "label": "YouTube",
          "meta": "video · 2024"
        }
      ]
    }
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    "agent": "GPT-5.5 Thinking",
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    "date": "2026-07-08",
    "note": "Structured return rendered by scripts/render_dossier.py."
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  "license": "https://ab5d.xyz/license/",
  "license_note": "Dossier prose is CC0. Embedded Art Blocks renders are not: they remain the property of their respective artists and holders.",
  "attribution": {
    "name": "AB[500]",
    "url": "https://ab5d.xyz/artists/dadabots/",
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