The Solar Oracle Walkman - Revision history

Abao: /* References */

2025-10-17T03:57:48Z

References

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	#“What Is Complexism? Generative Art and the Cultures of Science and the Humanities \| Semantic Scholar.” n.d. Accessed September 5, 2025. https://www.semanticscholar.org/paper/What-is-Complexism-Generative-Art-and-the-Cultures-Galanter/90da494215c460a8f8b7e518b75795f2177d269d.		#“What Is Complexism? Generative Art and the Cultures of Science and the Humanities \| Semantic Scholar.” n.d. Accessed September 5, 2025. https://www.semanticscholar.org/paper/What-is-Complexism-Generative-Art-and-the-Cultures-Galanter/90da494215c460a8f8b7e518b75795f2177d269d.
	#“Blockchain Radio Access Network (B-RAN): Towards Decentralized Secure Radio Access Paradigm \| IEEE Journals & Magazine \| IEEE Xplore.” n.d. Accessed October 7, 2025. https://ieeexplore.ieee.org/abstract/document/8598796.		#“Blockchain Radio Access Network (B-RAN): Towards Decentralized Secure Radio Access Paradigm \| IEEE Journals & Magazine \| IEEE Xplore.” n.d. Accessed October 7, 2025. https://ieeexplore.ieee.org/abstract/document/8598796.
			#Galanter, Philip. n.d. What Is Complexism? Generative Art and the Cultures of Science and the Humanities.

Abao: /* References */

2025-10-10T03:04:32Z

References

← Older revision		Revision as of 05:04, 10 October 2025
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	#Schmudde, David. 2024. Between Chaos and Order. https://doi.org/10.34626/2024_XCOAX_019.		#Schmudde, David. 2024. Between Chaos and Order. https://doi.org/10.34626/2024_XCOAX_019.
	#“What Is Complexism? Generative Art and the Cultures of Science and the Humanities \| Semantic Scholar.” n.d. Accessed September 5, 2025. https://www.semanticscholar.org/paper/What-is-Complexism-Generative-Art-and-the-Cultures-Galanter/90da494215c460a8f8b7e518b75795f2177d269d.		#“What Is Complexism? Generative Art and the Cultures of Science and the Humanities \| Semantic Scholar.” n.d. Accessed September 5, 2025. https://www.semanticscholar.org/paper/What-is-Complexism-Generative-Art-and-the-Cultures-Galanter/90da494215c460a8f8b7e518b75795f2177d269d.
			#“Blockchain Radio Access Network (B-RAN): Towards Decentralized Secure Radio Access Paradigm \| IEEE Journals & Magazine \| IEEE Xplore.” n.d. Accessed October 7, 2025. https://ieeexplore.ieee.org/abstract/document/8598796.

Abao: /* Abstract */

2025-09-07T16:23:55Z

Abstract

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	=Abstract=		=Abstract=
	This experiment ~~is an operational~~ prototype ~~made in SGMK~~ Hacker-in-~~Residence~~ Programme. Solar Oracle Walkman is an exploration of energy trading and sound sculpture, ~~re-engineered~~ from an I–V tester to transform handmade DSSCs (“solar mini discs”) into sound. Each solar mini disc’s TiO₂ layer is patterned ~~with intentional defects via~~ cyanotype or screen printing, ~~producing~~ a unique I–V voiceprint ~~that~~ is submitted ~~through~~ an ~~oracle—a~~ mechanism ~~for~~ securely ~~bridging~~ off-chain data to the ~~blockchain—to~~ a smart contract for verification. Once verified, ~~reproducible generative music~~ is ~~played~~ on the Walkman~~, with the on-chain verdict serving~~ as ~~the gate for playback~~.The device functions like a cold wallet: each DSSC corresponds to a verifiable on-chain identity (panel_id) and its commitment~~, where the~~ panel_id can serve as ~~a future~~ anchor for tokenization. In the v1 prototype ~~of this study~~, the measured I–V curve is decomposed into seven dimensionless features [FF, Vmpp/Voc, Impp/Isc, Rs, Rsh, Σκ, A*], reduced ~~via~~ PCA, ~~and~~ then manually mapped to the latent ~~input ports~~ of an independently trained nn~ RAVE decoder, ~~achieving~~ reproducible sonic identity without ~~relying on~~ explicit semantic structure.In the ~~next~~ experiment ~~(v2)~~, continuous I–V data under ~~varying~~ illumination will be recorded, and an I–V encoder will be trained to learn compact, illumination-robust latent embeddings of each cell. These embeddings will ~~enter~~ an off-chain fuzzy extractor pipeline (quantization → error correction with helper data (ECC) → ~~hash~~) to derive a stable key K. On-chain, only the commitment and panel_id derived from K are anchored, preserving privacy while enabling verification. ~~With~~ vector space preservation (VSP), distances in the latent space ~~can~~ reflect differences in photovoltaic behavior, ~~constructing~~ a ~~more complete~~ semantic space.		This experiment was realized as a working prototype during the SGMAK Hacker-in-Residency Programme. The Solar Oracle Walkman is an exploration of energy trading and sound sculpture, adapted from an I–V tester to transform handmade DSSCs (“solar mini discs”) into sound. Each solar mini disc’s TiO₂ layer is patterned by cyanotype or screen printing to deliberately introduce defects, generating a unique I–V voiceprint V. This voiceprint is submitted via an oracle, a mechanism that securely bridges off-chain data to the blockchain, to a smart contract for verification. Once verified on-chain, V is rendered on the Walkman as reproducible generative music.
	~~Artistically~~ and ~~philosophically~~, this ~~“oracle~~ machine” links the physical and informational worlds~~: a perspective that fuses~~ philosophy of perception and blockchain ~~to explore how “reality” can be distilled~~ and ~~realized~~.		The device functions like a cold wallet: each DSSC corresponds to a verifiable on-chain identity (panel_id) and its commitment value. The panel_id can serve as an anchor for future tokenization. In the completed v1 prototype, the measured I–V curve is decomposed into seven dimensionless features [FF, Vmpp/Voc, Impp/Isc, Rs, Rsh, Σκ, A*], reduced with PCA, then manually mapped to the latent inlets of an independently trained nn~ RAVE decoder, producing reproducible sonic identity without explicit semantic structure.
			In the planned v2 experiment, continuous I–V data under varied illumination will be recorded, and an I–V encoder will be trained to learn compact, illumination-robust latent embeddings for each cell. These embeddings will pass through an off-chain fuzzy extractor pipeline (quantization → error correction with helper data (ECC) → hashing) to derive a stable key K. On-chain, only the commitment and panel_id derived from K are anchored, preserving privacy while enabling verification. If vector-space preservation (VSP) can be maintained, distances in the latent space will reflect differences in photovoltaic behavior, establishing a richer semantic space.
			From artistic and philosophical perspectives, this “divinatory machine” links the physical and informational worlds, exploring the distillation and realization of “truth” through the lenses of philosophy of perception and blockchain. Currently the sound in this prototyping is not a mere reproduction: theoretical frameworks are integrated into composition as guides and reflective tools, linking technical processes (measurement, feature extraction, on-chain verification) with philosophical frameworks (perception, reality, hallucination).

	=Experiments=		=Experiments=

Abao: /* Abstract */

2025-09-07T15:53:28Z

Abstract

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	=Abstract=		=Abstract=
	Solar Oracle Walkman is an exploration of energy trading and sound sculpture, re-engineered from an I–V tester to transform handmade DSSCs (“solar mini discs”) into sound. Each solar mini disc’s TiO₂ layer is patterned with intentional defects via cyanotype or screen printing, producing a unique I–V voiceprint that is submitted through an oracle—a mechanism for securely bridging off-chain data to the blockchain—to a smart contract for verification. Once verified, reproducible generative music is played on the Walkman, with the on-chain verdict serving as the gate for playback.The device functions like a cold wallet: each DSSC corresponds to a verifiable on-chain identity (panel_id) and its commitment, where the panel_id can serve as a future anchor for tokenization. In the v1 prototype of this study, the measured I–V curve is decomposed into seven dimensionless features [FF, Vmpp/Voc, Impp/Isc, Rs, Rsh, Σκ, A*], reduced via PCA, and then manually mapped to the latent input ports of an independently trained nn~ RAVE decoder, achieving reproducible sonic identity without relying on explicit semantic structure.In the next experiment (v2), continuous I–V data under varying illumination will be recorded, and an I–V encoder will be trained to learn compact, illumination-robust latent embeddings of each cell. These embeddings will enter an off-chain fuzzy extractor pipeline (quantization → error correction with helper data (ECC) → hash) to derive a stable key K. On-chain, only the commitment and panel_id derived from K are anchored, preserving privacy while enabling verification. With vector space preservation (VSP), distances in the latent space can reflect differences in photovoltaic behavior, constructing a more complete semantic space.		This experiment is an operational prototype made in SGMK Hacker-in-Residence Programme. Solar Oracle Walkman is an exploration of energy trading and sound sculpture, re-engineered from an I–V tester to transform handmade DSSCs (“solar mini discs”) into sound. Each solar mini disc’s TiO₂ layer is patterned with intentional defects via cyanotype or screen printing, producing a unique I–V voiceprint that is submitted through an oracle—a mechanism for securely bridging off-chain data to the blockchain—to a smart contract for verification. Once verified, reproducible generative music is played on the Walkman, with the on-chain verdict serving as the gate for playback.The device functions like a cold wallet: each DSSC corresponds to a verifiable on-chain identity (panel_id) and its commitment, where the panel_id can serve as a future anchor for tokenization. In the v1 prototype of this study, the measured I–V curve is decomposed into seven dimensionless features [FF, Vmpp/Voc, Impp/Isc, Rs, Rsh, Σκ, A*], reduced via PCA, and then manually mapped to the latent input ports of an independently trained nn~ RAVE decoder, achieving reproducible sonic identity without relying on explicit semantic structure.In the next experiment (v2), continuous I–V data under varying illumination will be recorded, and an I–V encoder will be trained to learn compact, illumination-robust latent embeddings of each cell. These embeddings will enter an off-chain fuzzy extractor pipeline (quantization → error correction with helper data (ECC) → hash) to derive a stable key K. On-chain, only the commitment and panel_id derived from K are anchored, preserving privacy while enabling verification. With vector space preservation (VSP), distances in the latent space can reflect differences in photovoltaic behavior, constructing a more complete semantic space.
	Artistically and philosophically, this “oracle machine” links the physical and informational worlds: a perspective that fuses philosophy of perception and blockchain to explore how “reality” can be distilled and realized.		Artistically and philosophically, this “oracle machine” links the physical and informational worlds: a perspective that fuses philosophy of perception and blockchain to explore how “reality” can be distilled and realized.

Abao: /* Discussion */

2025-09-07T09:56:56Z

Discussion

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	# '''Where things are now''' At its present stage, the Solar Oracle Walkman functions as an artistic device that fuses energy measurement with sound generation. The I–V curve of a patterned DSSC is mapped into a latent sonic state, while a fuzzy extractor produces a verifiable key for on-chain registration. In this way, sound becomes not only an aesthetic event but also a traceable energy label. The work emphasizes the dual nature of generation and verification: sound retains creative drift, while the oracle serves as an external anchor, ensuring that each sonic decision remains traceable to a concrete energy trajectory.		# '''Where things are now''' At its present stage, the Solar Oracle Walkman functions as an artistic device that fuses energy measurement with sound generation. The I–V curve of a patterned DSSC is mapped into a latent sonic state, while a fuzzy extractor produces a verifiable key for on-chain registration. In this way, sound becomes not only an aesthetic event but also a traceable energy label. The work emphasizes the dual nature of generation and verification: sound retains creative drift, while the oracle serves as an external anchor, ensuring that each sonic decision remains traceable to a concrete energy trajectory.
	# '''What the theory is doing now''' Stinson’s (2020) notion of the generic mechanism provides a framework for analogy: both the DSSC–oracle–sound pipeline and human perception can be regarded as instances of generative systems. Andy Clark’s theory of the predictive brain further frames sound here not as mere reproduction but as a controllable illusion generated through prediction and error correction. These theoretical perspectives are not final claims but rather design heuristics and reflective tools, helping us connect technical processes (measurement, feature extraction, on-chain proof) with philosophical frameworks (perception, reality, hallucination).		# '''What the theory is doing now''' Stinson’s (2020) notion of the generic mechanism provides a framework for analogy: both the DSSC–oracle–sound pipeline and human perception can be regarded as instances of generative systems. Andy Clark’s theory of the predictive brain further frames sound here not as mere reproduction but as a controllable illusion generated through prediction and error correction. These theoretical perspectives are not final claims but rather design heuristics and reflective tools, helping us connect technical processes (measurement, feature extraction, on-chain proof) with philosophical frameworks (perception, reality, hallucination).
	# '''Next steps''' The next challenges concern the expansion of data and semantic structure:		# '''Next steps''' The next challenges concern the expansion of data and semantic structure: Build a controlled dataset of DSSC voiceprints under varying light and temperature to test reproducibility. Explore how proximity in sonic latent space can correspond to proximity in energy curves. Assess the failure modes and anti-counterfeiting limits of the fuzzy extractor, registering voiceprint hashes as energy certificates. Deepen the dual meaning of the oracle: as long as it functions only as a verification gatekeeper, it merely authenticates; but once it begins to reveal structural relations between energy curves and translate them into sound, it takes on the ancient role of the oracle—transforming physical signs into messages from another world.
	Build a controlled dataset of DSSC voiceprints under varying light and temperature to test reproducibility. Explore how proximity in sonic latent space can correspond to proximity in energy curves. Assess the failure modes and anti-counterfeiting limits of the fuzzy extractor, registering voiceprint hashes as energy certificates. Deepen the dual meaning of the oracle: as long as it functions only as a verification gatekeeper, it merely authenticates; but once it begins to reveal structural relations between energy curves and translate them into sound, it takes on the ancient role of the oracle—transforming physical signs into messages from another world.

	=References=		=References=

Abao: /* Discussion */

2025-09-07T09:56:37Z

Discussion

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	=Discussion=		=Discussion=
	# '''Where things are now''' ~~The oracle walkman works~~ as ~~a simple art sculpture~~ that ~~sonifies DSSC I–V curves in real time~~. The 7-~~feature voiceprint is stable across illumination changes after normalization~~. ~~The mapping is deliberately minimal~~, ~~which makes evaluation of reproducibility straightforward. A controlled pipeline from sensing to~~ sound ~~is established in Max/MSP~~. ~~Perception and AI are treated as two sides of~~ the ~~same generative mechanism. The working definition~~ of ~~hallucination is~~ generation ~~that drifts beyond admissible evidence~~ and ~~priors. Brains predict and correct; hallucination is~~ an ~~extreme case of prediction mismatch. The oracle provides~~ external ~~anchors~~ to ~~keep generation within verifiable bounds while leaving room for creative variance~~.		# '''Where things are now''' At its present stage, the Solar Oracle Walkman functions as an artistic device that fuses energy measurement with sound generation. The I–V curve of a patterned DSSC is mapped into a latent sonic state, while a fuzzy extractor produces a verifiable key for on-chain registration. In this way, sound becomes not only an aesthetic event but also a traceable energy label. The work emphasizes the dual nature of generation and verification: sound retains creative drift, while the oracle serves as an external anchor, ensuring that each sonic decision remains traceable to a concrete energy trajectory.
	# '''What the theory is doing now''' Stinson’s generic-mechanism ~~view motivates treating DSSC–RAVE~~ and human perception as ~~different instantiations~~ of ~~a common~~ generative ~~architecture~~. ~~Feigl’s correspondence model motivates explicit bridges from observation to latent variables, so every design step is tied back to measurable traces~~. These theoretical ~~lenses~~ are not ~~goals in themselves. They function as~~ design ~~guidelines for dataset building~~, ~~priors for mapping, and evaluation metrics for drift and variance. Current limitations highlight the absence of vector space preservation~~ (~~VSP). Without VSP~~, ~~the latent space serves as a stable registry of identities but cannot guarantee relational meaning across cells. Thus~~, ~~the oracle functions mainly as a gatekeeper that validates authenticity but offers little semantic interpretation. With VSP~~, ~~however~~, the oracle could evolve into a “true oracle machine”: not only verifying truth but also revealing how different energy curves relate, translating physical differences into interpretable structures of another domain.		# '''What the theory is doing now''' Stinson’s (2020) notion of the generic mechanism provides a framework for analogy: both the DSSC–oracle–sound pipeline and human perception can be regarded as instances of generative systems. Andy Clark’s theory of the predictive brain further frames sound here not as mere reproduction but as a controllable illusion generated through prediction and error correction. These theoretical perspectives are not final claims but rather design heuristics and reflective tools, helping us connect technical processes (measurement, feature extraction, on-chain proof) with philosophical frameworks (perception, reality, hallucination).
	# '''Next steps''' Build a ~~small but clean training set~~ of DSSC voiceprints ~~with controlled illumination~~ and temperature~~, then~~ test ~~monotonicity and local smoothness priors~~. ~~Prototype vec2vec-style constraints: simple cycle checks and distance preservation on a held-out set; log when~~ sonic ~~neighborhoods fail~~ to ~~match~~ energy~~-curve neighborhoods~~. Investigate lightweight inference targets and compression for future mobile use. Explore whether traceable energy records can be registered as verifiable hashes derived from sonic voiceprint, then evaluate failure modes and anti-counterfeiting limits~~. In this context, “oracle” refers not only to~~ the ~~blockchain bridge for off-chain data~~, ~~but also resonates with its ancient meaning—an oracular revelation~~. ~~When DSSC voiceprints serve only for verification,~~ the oracle ~~acts~~ as a gatekeeper; but once ~~endowed with semantic structure, capable of revealing~~ relations ~~among~~ energy curves and ~~translating~~ them into sound ~~space~~, it ~~transcends verification and functions as a “machine~~ of ~~divination,” converting~~ physical ~~traces~~ into messages from another world.		# '''Next steps''' The next challenges concern the expansion of data and semantic structure:
			Build a controlled dataset of DSSC voiceprints under varying light and temperature to test reproducibility. Explore how proximity in sonic latent space can correspond to proximity in energy curves. Assess the failure modes and anti-counterfeiting limits of the fuzzy extractor, registering voiceprint hashes as energy certificates. Deepen the dual meaning of the oracle: as long as it functions only as a verification gatekeeper, it merely authenticates; but once it begins to reveal structural relations between energy curves and translate them into sound, it takes on the ancient role of the oracle—transforming physical signs into messages from another world.

	=References=		=References=

Abao: /* References */

2025-09-05T12:45:13Z

References

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	#Stinson, Catherine. 2020. “From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.” Philosophy of Science 87 (4): 590–611. https://doi.org/10.1086/709730.		#Stinson, Catherine. 2020. “From Implausible Artificial Neurons to Idealized Cognitive Models: Rebooting Philosophy of Artificial Intelligence.” Philosophy of Science 87 (4): 590–611. https://doi.org/10.1086/709730.
	#Jha, Rishi, Collin Zhang, Vitaly Shmatikov, and John X. Morris. 2025. “Harnessing the Universal Geometry of Embeddings.” arXiv:2505.12540. Preprint, arXiv, June 25. https://doi.org/10.48550/arXiv.2505.12540.		#Jha, Rishi, Collin Zhang, Vitaly Shmatikov, and John X. Morris. 2025. “Harnessing the Universal Geometry of Embeddings.” arXiv:2505.12540. Preprint, arXiv, June 25. https://doi.org/10.48550/arXiv.2505.12540.
	#https://~~www.hackteria~~.org/~~wiki~~/~~A_RAVE_and_starvation_synth_based_generative_sonic_device_powered_by_dye_sensitized_solar_cell~~		#Schmudde, David. 2024. Between Chaos and Order. https://doi.org/10.34626/2024_XCOAX_019.
	#~~https://github~~.~~com/shihweichieh2023/IVcurve_tester~~		#“What Is Complexism? Generative Art and the Cultures of Science and the Humanities \| Semantic Scholar.” n.d. Accessed September 5, 2025. https://www.semanticscholar.org/paper/What-is-Complexism-Generative-Art-and-the-Cultures-Galanter/90da494215c460a8f8b7e518b75795f2177d269d.
	#https://~~github~~.~~com/rjha18/vec2vec~~
	~~#https://github~~.~~com~~/~~shihweichieh2023~~/~~solar~~-~~oracle~~-~~walkman~~

Abao: /* Truth-sonified Sculpture: on the similarity between perception and computation as generative Systems */

2025-09-05T12:13:51Z

Truth-sonified Sculpture: on the similarity between perception and computation as generative Systems

← Older revision		Revision as of 14:13, 5 September 2025
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	=Truth-sonified Sculpture: on the similarity between perception and computation as generative Systems=		=Truth-sonified Sculpture: on the similarity between perception and computation as generative Systems=
	Driven by the motivation of energy traceability, this experiment attempts to materialize “the real” and argues that it carries a dual sense:		Driven by the motivation of energy traceability, this experiment attempts to materialize “the real” and argues that it carries a dual sense: on the one hand, the truth/veracity of blockchain transactions—verifiable and tamper-proof; on the other hand, the reality/the real of perceptual philosophy—how we generate and experience reality itself. To support this view, we must discuss how conceptual models and analogical mechanisms are formed. Following Stinson (2020) on the notion of a generic mechanism, the comparability between computational models and human cognition does not lie in the similarity of their representations, but in whether both can be regarded as instances of an abstract category of mechanism. This provides a legitimate basis for designs that aim to map generative art and cognitive systems onto one another. Many studies already treat AI perception and human perception as two sides of the same process, redeveloping perceptual philosophy through the structure of generative models. For instance, Buckner (2023) proposes that human imagination and memory are closely related to the variational autoencoder (VAE). Andy Clark’s (2023) predictive brain theory further suggests that both perception and artificial intelligence can be understood as generative mechanisms: they do not merely receive signals passively, but actively predict and correct them. In this framing, “reality” is not an objective given but a prediction generated by the brain—a controllable illusion. These theories provide a structural bridge for debates in philosophy of mind and philosophy of perception. However, the “reality” of perceptual philosophy and the truthfulness of measurable energy trajectories do not belong to the same ontological category, and thus cannot be straightforwardly juxtaposed within a single framework. Yet the operative mechanism of the artwork creates an initial common ground: the Solar Oracle Walkman can likewise be seen as a perceptual system. Through the oracle mechanism, it extracts “the real” from two worlds—intracranial/on-chain and extracranial/off-chain—while within its algorithms, prediction and error become tools for locating truth. “This sound originates from this solar cell, here and now, under these conditions.” Ultimately, the Solar Oracle Walkman evolves from an exercise in sonifying a traceable energy system into a generative musical sculpture grounded in the sonification of the real and the semantic alignment and translation work between two different systems. Conservatively, the project should still be regarded as an operational sketch of cognitive science, rather than a testable theory of consciousness; it remains at a considered distance from formal consciousness science and the philosophy of mind.
	on the one hand, the truth/veracity of blockchain transactions—verifiable and tamper-proof;
	on the other hand, the reality/the real of perceptual philosophy—how we generate and experience reality itself.
	To support this view, we must discuss how conceptual models and analogical mechanisms are formed. Following Stinson (2020) on the notion of a generic mechanism, the comparability between computational models and human cognition does not lie in the similarity of their representations, but in whether both can be regarded as instances of an abstract category of mechanism. This provides a legitimate basis for designs that aim to map generative art and cognitive systems onto one another.
	Many studies already treat AI perception and human perception as two sides of the same process, redeveloping perceptual philosophy through the structure of generative models. For instance, Buckner (2023) proposes that human imagination and memory are closely related to the variational autoencoder (VAE). Andy Clark’s (2023) predictive brain theory further suggests that both perception and artificial intelligence can be understood as generative mechanisms: they do not merely receive signals passively, but actively predict and correct them. In this framing, “reality” is not an objective given but a prediction generated by the brain—a controllable illusion. These theories provide a structural bridge for debates in philosophy of mind and philosophy of perception.
	However, the “reality” of perceptual philosophy and the truthfulness of measurable energy trajectories do not belong to the same ontological category, and thus cannot be straightforwardly juxtaposed within a single framework. Yet the operative mechanism of the artwork creates an initial common ground: the Solar Oracle Walkman can likewise be seen as a perceptual system. Through the oracle mechanism, it extracts “the real” from two worlds—intracranial/on-chain and extracranial/off-chain—while within its algorithms, prediction and error become tools for locating truth.
	“This sound originates from this solar cell, here and now, under these conditions.” Ultimately, the Solar Oracle Walkman evolves from an exercise in sonifying a traceable energy system into a generative musical sculpture grounded in the sonification of the real. Conservatively, the project should still be regarded as an operational sketch of cognitive science, rather than a testable theory of consciousness; it remains at a considered distance from formal consciousness science and the philosophy of mind.

	<gallery widths=400 heights=300>		<gallery widths=400 heights=300>

Abao: /* Truth-Sonified Sculpture: On the Affinity Between Perception and Computation as Generative Systems */

2025-09-05T12:10:32Z

Truth-Sonified Sculpture: On the Affinity Between Perception and Computation as Generative Systems

← Older revision		Revision as of 14:10, 5 September 2025
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	</gallery>		</gallery>

	=Truth-~~Sonified~~ Sculpture: On the ~~Affinity Between Perception~~ and ~~Computation~~ as ~~Generative~~ Systems=		=Truth-sonified Sculpture: on the similarity between perception and computation as generative Systems=
	Driven by the motivation of energy traceability, this experiment attempts to materialize “the real” and argues that it carries a dual sense:		Driven by the motivation of energy traceability, this experiment attempts to materialize “the real” and argues that it carries a dual sense:
	on the one hand, the truth/veracity of blockchain transactions—verifiable and tamper-proof;		on the one hand, the truth/veracity of blockchain transactions—verifiable and tamper-proof;

Abao: /* Truth-Sonified Sculpture: On the Affinity Between Perception and Computation as Generative Systems */

2025-09-05T12:09:13Z

Truth-Sonified Sculpture: On the Affinity Between Perception and Computation as Generative Systems

← Older revision		Revision as of 14:09, 5 September 2025
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	<gallery widths=400 heights=300>		<gallery widths=400 heights=300>
	File:Stinson's generic mechanism.png\|~~Stinson's "~~generic mechanism"。		File:Stinson's generic mechanism.png\|This diagram illustrates Stinson’s (2020) notion of a generic mechanism: the comparability between different systems (e.g., computational models and human cognition) does not lie in the similarity of their representations, but in whether they can both be regarded as instances of an abstract category of mechanism. This perspective provides a legitimate basis for mapping generative art and cognitive systems onto one another.
	File:hallucinations RAVE.png\|A compositional strategy: train RAVE on DSSC I–V sequences, so that each new measurement produces a latent embedding z1. Pass z1 through the encoder–decoder loop to obtain a reconstructed embedding z2. Compute the residual vector r = z1 – z2. This residual r precisely represents the part that the model cannot explain. While z1 captures the reproducible voiceprint of the DSSC, r can be interpreted as a “hallucination”: the deviation, noise, or anomaly that the model cannot assimilate. Feeding r into another RAVE decoder allows the hallucination to be sonified.		File:hallucinations RAVE.png\|A compositional strategy: train RAVE on DSSC I–V sequences, so that each new measurement produces a latent embedding z1. Pass z1 through the encoder–decoder loop to obtain a reconstructed embedding z2. Compute the residual vector r = z1 – z2. This residual r precisely represents the part that the model cannot explain. While z1 captures the reproducible voiceprint of the DSSC, r can be interpreted as a “hallucination”: the deviation, noise, or anomaly that the model cannot assimilate. Feeding r into another RAVE decoder allows the hallucination to be sonified.
	</gallery>		</gallery>