太陽能神諭隨身聽（Solar Oracle Walkman）是一個探索能源交易和聲音雕塑的實驗。在染料敏化太陽能電池 (DSSC) 的二氧化鈦層上製造氰版顯影和網板印刷圖案，使每個電池產生獨特的I-V曲線。這些曲線透過生成模型如RAVE（real-time audio variational auto-encoder）訓練並被提取出潛在嵌入（latent embeddings），這些被綁定在物理世界中的錨定，獨特且穩定的特徵被用做oracle認證身份，能做為硬體防偽，並進行能源交易的實驗。其也用於生成音樂設計—每塊圖案化的透明DSSC就像是mini-disc，每次都能播放與其圖案相關的即時、可重現的聲音化。
第一階段先在max/msp中收集I-V曲線並解構為七維[FF, Vmpp/Voc, Impp/Isc, Rs*, Rsh*, Σκ, A*]，再透過Principal Component Analysis (PCA)機械學習提取其特徵，再手動先驗的將七個值連接到nn~ 編碼器的潛在空間輸入口以驅動其他RAVE模型，目前已經達到可重現聲音和身份辨識的目的。下一階段將收集不同光照條件下的連續 I-V 數據，並直接用於訓練 RAVE 模型，使其編碼器學習緊湊的潛在嵌入。這些嵌入將支援雙路徑設計：在 Max/MSP 環境中進行即時聽覺渲染，以及基於神諭的鏈上提交驗證，為能源交易鋪下了道路。
利用潛在嵌入做為oracle認證並非單純驗證，而是把外部的「能量差異、物理特徵」翻譯成「語意空間」，從概念上講，RAVE 被定義為一個潛在的神諭：真理並非以固定的事實形式出現，而是透過兩個世界——物理能量軌跡和認知聲音生成——的相互作用而產生的。透過結合可複製的聲紋和受控的幻覺，該設備將神諭變成了一種連接物質、感知和想像的占卜機器。
The Solar Oracle Walkman is an experiment in energy trading and sound sculpture. By producing cyanotype and screen-printed patterns on the TiO₂ layer of dye-sensitized solar cells (DSSCs), each cell generates a unique I–V curve. These curves are trained through generative models such as RAVE (real-time audio variational auto-encoder) and extracted as latent embeddings. Anchored in the physical world, these distinctive and stable features serve as oracle-based identity authentication, functioning both as hardware anti-counterfeiting and as the basis for experimental energy transactions. They also provide a foundation for musical design: each patterned transparent DSSC acts like a mini-disc, capable of replaying an immediate, reproducible sonification tied to its pattern.
In the first stage, I–V curves are collected in Max/MSP and decomposed into seven dimensions [FF, Vmpp/Voc, Impp/Isc, Rs*, Rsh*, Σκ, A*]. Features are extracted via Principal Component Analysis (PCA), then manually and a priori mapped to the latent inlets of the nn~ decoder to drive other RAVE models, achieving reproducible sound and identity recognition. The next stage will involve recording continuous I–V data under varying illumination and directly training a RAVE model, enabling its encoder to learn compact latent embeddings. These embeddings will support a dual-path design: real-time auditory rendering in Max/MSP and oracle-based on-chain submissions for energy verification and exchange.
Using latent embeddings as an oracle is not merely verification but a translation of external “energetic differences and physical features” into a “semantic space.” Conceptually, RAVE is defined here as a latent oracle: truth does not appear as fixed fact but emerges from the interplay between two worlds—physical energy trajectories and cognitive sound generation. By combining reproducible voiceprints with controlled hallucination, the device becomes a divinatory machine linking matter, perception, and imagination.
