1985
AI Gen Process/Software: Human, ChatGPT.com, Meta.ai, Producer.ai, Audacity 3.7.4, Ubuntu 24.04 LTS (Noble Numbat, Linux)
“If you had a sign above every studio door saying ‘This Studio is a Musical Instrument’ it would make such a different approach to recording.”
— Brian Eno
“1985” is both a sonic time-capsule and an experiment in collaboration — a four-hour project that recreates the textures, moods, and production hallmarks of New Wave at its peak. This article examines five interlocking subtopics that help explain why the project matters: the historical context of New Wave in 1985; the production techniques and instruments that defined the sound; AI as a creative instrument and collaborator; the text-to-music prompting and production workflow used to recreate period authenticity; and the cultural significance of preserving a moment in music history. Each subtopic is explored with depth to show how technical choices, artistic judgment, and technological innovation combine to produce not only imitation but meaningful reinterpretation. Together these threads illuminate how TATANKA’s project is less nostalgia and more an active archaeological and creative practice.
New Wave in 1985 occupied a curious place between pop accessibility and avant-garde exploration. Bands and producers were pushing electronics, texture, and studio invention while still writing memorable hooks — the result was a music both emotionally immediate and sonically adventurous. By focusing on 1985 specifically, the project locks onto a year when analog synths met early digital tools, and when production values moved toward a glossy, cinematic sheen without sacrificing the rawness of earlier post-punk. This subtopic explores the social and cultural currents that made that sound resonate: MTV’s visual culture, the cross-pollination between European and American scenes, and a late Cold War sensibility that favored mood and atmosphere. Understanding these conditions helps explain the choices made in instrumentation, arrangement, and vocal styling on the album.
Within that cultural climate, artists experimented with new forms of studio alchemy — gated reverbs, chorus effects, and layered pads — creating recordings that felt larger than their live counterparts. The era’s fashion, film, and graphic design aesthetics fed back into the music: angular synth lines matched geometric album art, and dramatic lighting matched lyrical themes of alienation and longing. For a modern listener, these elements evoke both nostalgia and a distinct historical mood that cannot be separated from the sonic palette. Reconstructing 1985 accurately therefore requires more than copying sounds; it requires contextual fidelity to the era’s cultural codes. TATANKA’s project approaches this by treating historical research and sound design as two halves of a single creative act.
Finally, 1985’s position in music history — sometimes argued as the high-water mark of New Wave creativity — makes it a compelling target for preservation. Whether or not one accepts the claim that New Wave was the “last great evolution” of rock, the year represents a high concentration of technically daring and emotionally resonant work. Documenting it through modern tools draws attention to the fragile lineage of production techniques and the tactile instruments that shaped sound. TATANKA’s “1985” stands as an attempt to make that lineage audible for a new generation, showing how the past continues to inform contemporary practices.
The signature sounds of 1985 often derive from a handful of distinctive instruments and studio techniques: analog polysynths (Juno-106, Prophet-5), the DX7’s electric piano and bells, chorus-heavy guitars, the LinnDrum’s punchy machine grooves, and lush reverb and delay chains. Recreating these textures requires careful attention to signal chain, effects routing, and the idiosyncrasies of vintage hardware — not just the notes themselves but how those notes are colored by analog circuitry and studio signal processing. The album’s creators combined sampled or emulated instruments with careful mixing choices to approximate the warmth and unpredictability of older gear. Emulation alone rarely suffices; the mixing approach — subtle detuning, saturation, and analog-style compression — is what transforms sterile digital approximations into convincing period pieces.
Another essential element is drum programming. The LinnDrum and gated snare reverb gave many tracks a distinctive snap and forward energy, balanced by deep, melodic basslines that carried melody and groove simultaneously. Guitar parts were often treated as atmospheric layers, running through chorus and reverb rather than serving solely as rhythmic anchors. Vocal treatment — plate reverb, plate-like pre-delay, and layered doubles — produced those cavernous but intimate-sounding leads and harmonies. Reconstructing these elements in 2025 requires not just plugins but an engineer’s ear for how to place sounds in a three-dimensional mix that reads as both nostalgic and immediate.
Finally, the production process on “1985” acknowledges that authenticity must coexist with modern clarity. Rather than slavishly reproducing noise or lo-fi artifacts, the producers aimed for a balance: period-accurate timbres with modern stereo imaging, clear low-end, and dynamic depth. The result is a listening experience that reads as historically faithful but comfortable on contemporary playback systems. This hybrid approach is a template for anyone attempting period recreation: honor the mechanics of the past while adapting to contemporary listening contexts.
One of the central provocations of TATANKA’s project is the framing of AI not as a mimic but as an instrument — a studio tool that shapes ideas, generates textures, and helps translate vague creative intentions into sonic reality. This follows a lineage of studio innovation: just as the synthesizer was once a disruptive new instrument, so AI now alters how creative decisions can be prototyped and realized. On the album, AI systems assisted with ideation (melodic and harmonic suggestions), timbral exploration, and even arrangement sketches, while human musicians and engineers curated, edited, and humanized those outputs. This partnership foregrounds authorship practices that are collaborative: the machine proposes, the human selects, and the final artifact is a product of both judgment and generative capacity.
Using AI in this way requires ethical and aesthetic guardrails. Crediting, transparency about what was generated, and careful curation prevent AI from functioning as a black box that erases human intent. TATANKA’s documentation of tools used—ranging from ChatGPT for ideation prompts to Meta.ai and other generation tools for material—models a responsible approach: claim the contributions, and explain how they were shaped. This openness helps demystify the process for listeners and invites conversation about the artistic value of algorithm-aided work. When framed as an instrument, AI’s value is measured by the quality of decisions it helps enable rather than by an abstract claim of autonomy.
Practically, AI can accelerate iteration and surface unexpected combinations of timbre and harmony that humans might overlook. It also creates new creative affordances: for instance, generating alternate vocal textures or dense pad-scapes that can be routed into live processing chains. Importantly, AI’s outputs are raw material — not finished products — and they require human sculpting to become meaningful. The album demonstrates how restraint and selection remain the human artist’s domain even as generative tools broaden the palette.
At the heart of “1985” is a rigorous text-to-music prompting methodology: carefully worded prompts that encode instrument choices, production signatures, emotional tone, and era-specific references (e.g., Juno-106, DX7, chorus-drenched guitar, LinnDrum). Those prompts act like a score for generative systems, providing constraints that steer outputs toward credible period authenticity. The project paired those prompts with iterative human review cycles: generate, audition, revise prompt, and re-generate. This loop mirrors traditional songwriting workflows but compresses the early sketching phase, making many more variations affordable and fast to test.
Integration into the DAW and the hands-on mixing stage is essential. Outputs were imported into Audacity and other DAWs for editing, performance layering, and analog-style processing. Engineers applied saturation, tape emulation, and manual automation to restore human movement and imperfection to the generated parts. Vocal performances, whether human or deeply edited generative outputs, received attention for phrasing, breathing, and emotional nuance to avoid mechanical delivery. The workflow prioritizes curation: AI explores; people refine.
Documentation of the workflow is itself an important cultural artifact. By listing tools (ChatGPT, Meta.ai, Producer.ai, Audacity 3.7.4, Ubuntu 24.04) and the decision points where humans intervened, TATANKA adds transparency to an often opaque process. This level of detail not only aids reproducibility for other artists but also frames the project as a research endeavor, bridging creative practice with methodological rigor. For readers and prospective collaborators, such documentation demystifies and invites participation.
Preserving a sonic moment like 1985 has cultural implications beyond nostalgia: it asks how music history is archived, interpreted, and reintroduced to future listeners. The project functions as a kind of sonic preservationism, making audible the textures and production vocabularies that could otherwise fade as hardware disappears and producers retire. It also raises questions about authenticity and authority: who has the right to recreate cultural moments, and how should such reconstructions be contextualized? TATANKA addresses this by pairing faithful sound design with critical framing, positioning the album as both homage and inquiry.
Another dimension is education. For producers, engineers, and students, the album is a study in technique: it exposes the interplay between synth programming, drum programming, and mixing practices that defined a genre moment. For listeners, it offers a guided listening experience that highlights how small production choices create emotional effects. The work therefore operates across audiences: practitioners learn method, while casual listeners gain historical literacy. This dual-purpose enhances cultural value and justifies archival ambition.
Finally, the project asserts a broader claim about contemporary technology’s role in cultural memory. By using AI to help reconstruct and reimagine a historical moment, TATANKA demonstrates how emergent tools can support preservation when used with discipline and respect. The album becomes a case study in how to pair technical sophistication with cultural humility — preserving sounds while honoring their context and the people who first made them.
“1985” operates at the intersection of history, technology, and artistry. Across five subtopics — historical context, production techniques, AI as an instrument, text-to-music workflow, and cultural preservation — the project shows how careful research, informed production choices, and transparent use of generative tools can create work that is simultaneously reverent and inventive. The project reframes AI not as a shortcut but as an additional instrument in the studio, one that demands human judgement at every step. By documenting tools, methods, and choices, TATANKA not only produces music but also produces knowledge: a template for how to responsibly and creatively engage with the past. In doing so, “1985” becomes more than a record; it is a pedagogy, an experiment, and a heartfelt tribute to a singular year in music history.
1985 is not nostalgia. It is an aural snapshot of a singular moment in cultural history—forty years ago, when New Wave reached its zenith. This album was created as a living document, preserving the textures, moods, and sonic innovations of that year with forensic detail: shimmering analog synthesizers, chorus-drenched guitars, LinnDrum beats, and voices awash in reverb and longing.
Some say New Wave marked the final evolution of Rock, a peak beyond which the genre ceased to invent and instead began to repeat itself through revivals and fusions. 1985 accepts that premise and renders it audible. It is both a celebration and a farewell—an acknowledgment of the last great frontier of originality in popular rock music.
Within TATANKA, this project serves a broader purpose. It is not only about preservation but also reflection. By faithfully recreating this pinnacle, 1985 allows listeners to hold a mirror to the present, to measure today’s musical landscape against a moment of unrepeatable innovation. At the same time, it demonstrates the role of AI in reanimating memory—not as imitation, but as collaboration that can illuminate the past while pointing toward what comes next.
1985 is a testament: to the height of originality, to the beauty of endings, and to the possibility of new beginnings.
Text to Music Prompts Used:
The TATANKA source describes a project titled “1985: An AI Requiem for the Last Great Wave of Rock,” a four-hour musical endeavor that recreates the sounds and atmosphere of 1985 New Wave music through a blend of human and AI collaboration. The project aims to preserve a specific moment in music history, treating AI as a creative instrument to generate period-authentic textures and moods. It details the production workflow, including text-to-music prompting and careful human curation, while also exploring the cultural significance of this preservation effort. Ultimately, TATANKA presents this work as both a tribute to a perceived peak of rock originality and an experiment in the responsible integration of AI in artistic creation.
Date: September 11, 2025
Source: TATANKA Website
This briefing reviews “1985: An AI Requiem for the Last Great Wave of Rock,” a four-hour album project by TATANKA. The project leverages human-AI collaboration to recreate and preserve the sonic landscape of New Wave music from 1985, framing it as a critical year in rock music history.
The central themes of the “1985” project revolve around sonic preservation, the redefinition of AI as a creative instrument, human-AI collaboration, and a critical look at music history. TATANKA argues that 1985 represents the “high-water mark of New Wave creativity” and, controversially, the “last great evolution” of rock music. The project aims to document and make audible this historical moment for new generations, using AI not as a shortcut but as a sophisticated tool requiring human judgment.
Key Quotes:
“1985: An AI Requiem for the Last Great Wave of Rock” is presented as a multifaceted project that transcends mere musical recreation. It is an “archaeological and creative practice” that uses advanced AI tools to meticulously reconstruct a pivotal moment in music history. By transparently detailing its human-AI collaborative workflow and emphasizing the curation and judgment required from human artists, TATANKA not only offers a “sonic time-capsule” but also provides a “pedagogy” and a “template for how to responsibly and creatively engage with the past.” It argues that 1985 represents “the last great frontier of originality in popular rock music,” making its preservation both an artistic and cultural imperative for understanding both the past and the potential of future human-AI artistic partnerships.
“1985” is a four-hour musical project by TATANKA that aims to recreate and preserve the distinctive sounds, moods, and production styles of New Wave music at its peak in 1985. It’s described as both a “sonic time-capsule” and an “experiment in collaboration,” using a blend of human creativity and AI tools. The project functions as an “active archaeological and creative practice,” going beyond mere nostalgia to offer a reinterpretation and detailed study of a specific moment in music history.
1985 is chosen as a focal point because it represents the “zenith” of New Wave, where the genre balanced pop accessibility with avant-garde experimentation. It was a pivotal year where analog synthesizers converged with early digital tools, and production values evolved towards a “glossy, cinematic sheen” without losing the raw energy of earlier post-punk. The project considers 1985 as potentially the “high-water mark of New Wave creativity” and even the “last great evolution” of rock, making it a compelling target for preservation and a subject for studying the genre’s innovation.
TATANKA frames AI not as a mere mimic but as a “creative instrument” and collaborator in the studio. AI systems, including ChatGPT, Meta.ai, and Producer.ai, assisted with various aspects such as ideation (melodic and harmonic suggestions), timbral exploration, and arrangement sketches. Human musicians and engineers then curated, edited, and “humanized” these AI-generated outputs. This collaborative approach highlights how AI can accelerate iteration and surface new creative combinations, while human judgment remains crucial for sculpting and refining the raw material into meaningful art.
The project meticulously recreates the signature sounds of 1985, drawing on iconic instruments and studio techniques. These include analog polysynths like the Juno-106 and Prophet-5, the distinctive electric piano and bell sounds of the DX7, chorus-heavy guitars, the punchy grooves of the LinnDrum, and lush reverb and delay chains. Recreation involved using sampled or emulated instruments combined with careful mixing choices, such as subtle detuning, saturation, and analog-style compression. Drum programming, particularly the LinnDrum with gated snare reverb, and atmospheric vocal treatments using plate reverb were also key elements. The goal was to achieve period-accurate timbres with modern clarity for contemporary listening.
The “1985” project employs a rigorous text-to-music prompting methodology where carefully worded prompts guide generative AI systems. These prompts encode specific instrument choices, production signatures, emotional tones, and era-specific references (e.g., “Juno-106, DX7, chorus-drenched guitar, LinnDrum”). This acts like a “score” for the AI, providing constraints to ensure period authenticity. The process is iterative, involving generating, auditioning, revising prompts, and regenerating, mimicking traditional songwriting but compressing the initial sketching phase for faster exploration of variations.
Beyond mere nostalgia, the project holds significant cultural implications for how music history is archived, interpreted, and shared. It functions as “sonic preservationism,” making audible the textures and production vocabularies that could otherwise fade with disappearing hardware. It also raises questions about authenticity and authority in recreating cultural moments. TATANKA addresses this by framing the album as both “homage and inquiry,” offering an educational resource for producers, engineers, and students to understand the techniques that defined the genre, while also demonstrating how modern technology, used responsibly, can support cultural memory.
TATANKA emphasizes ethical and aesthetic guardrails for AI use. This includes clear crediting, transparency about what was generated by AI, and careful human curation to prevent AI from becoming a “black box” that erases human intent. The project explicitly documents the tools used (e.g., ChatGPT, Meta.ai, Producer.ai, Audacity, Ubuntu) and the decision points where human intervention occurred. This openness aims to demystify the process, invite conversation about the artistic value of algorithm-aided work, and serve as a model for responsible and creative engagement with the past.
“1985” serves multiple purposes: it’s a heartfelt tribute to a “singular year in music history,” a “celebration and a farewell” to what some consider the “last great frontier of originality in popular rock music.” It’s also an experiment and a pedagogy, demonstrating how careful research, informed production choices, and transparent AI integration can create work that is both reverent and inventive. By faithfully recreating this peak, TATANKA allows listeners to reflect on present-day music against a moment of “unrepeatable innovation” and showcases AI’s role in reanimating memory not as imitation, but as a “collaboration that can illuminate the past while pointing toward what comes next.”
This study guide is designed to help you review and deepen your understanding of the TATANKA project “1985: An AI Requiem for the Last Great Wave of Rock.” It covers the project’s motivations, methodologies, and cultural significance.
Answer each question in 2-3 sentences.
Text-to-Music Prompting: A methodology where detailed textual descriptions are used as input prompts for generative AI systems to guide the creation of musical content with specific characteristics.
AI Gen Process/Software: The specific Artificial Intelligence generation processes and software utilized in the “1985” project, including Human, ChatGPT.com, Meta.ai, and Producer.ai.
Analog Polysynths: Analog synthesizers capable of playing multiple notes simultaneously, such as the Juno-106 and Prophet-5, which were iconic in the 1980s New Wave sound.
Audacity 3.7.4 / Ubuntu 24.04 LTS (Noble Numbat, Linux): Specific software (digital audio workstation) and operating system used in the production workflow, indicating transparency about the technical environment.
Chorus-drenched Guitars: A guitar sound characterized by the heavy use of a chorus effect, which creates a thicker, shimmering, and often slightly detuned sound by duplicating and modulating the original signal.
Contextual Fidelity: The accuracy not just in replicating sounds, but in understanding and reflecting the broader social, cultural, and aesthetic codes of a specific historical era, such as 1985.
DAW (Digital Audio Workstation): Software used for recording, editing, mixing, and mastering audio, like Audacity, into which AI-generated outputs were imported.
DX7: A popular digital synthesizer from the 1980s, known for its distinct electric piano and bell-like sounds, central to the New Wave aesthetic.
Gated Reverbs: A studio production technique, prominent in the 1980s, where a reverb effect is abruptly cut off by a noise gate, creating a distinctive punchy and often dramatic sound, particularly on snare drums.
Generative Systems: AI technologies capable of creating new content (e.g., music, text, images) based on learned patterns and provided prompts.
Human-AI Collaboration: The working relationship where human artists and engineers partner with Artificial Intelligence tools, with the human guiding, curating, and refining the outputs of the AI.
LinnDrum: A programmable drum machine from the 1980s, famous for its realistic drum samples and punchy, distinctive grooves, widely used in New Wave.
New Wave: A genre of rock music that emerged in the late 1970s and peaked in the mid-1980s, characterized by its use of synthesizers, often angular melodies, distinctive fashion, and a blend of pop accessibility with avant-garde influences.
Period Authenticity: The quality of accurately reflecting the sounds, production techniques, and general aesthetic of a specific historical musical period.
Production Hallmarks: Distinctive features or techniques in music production that are characteristic of a particular era, genre, or artist.
Sonic Preservationism: The act of actively documenting, recreating, and maintaining the unique sounds, textures, and production vocabularies of a past musical era for future generations.
AI Gen Process/Software: Human, ChatGPT.com, Meta.ai, Riffusion.com, Producer.ai, Suno.com, Kits.ai, Moises.ai, Audacity 3.7.4, Ubuntu 24.04 LTS…
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