Research note
Research Notes: Machine Consciousness — Bach and Fitz
Bach: software, second-order perception, coherence
Joscha Bach and Hikari Sorensen's Machine Consciousness Hypothesis treats consciousness as a causal pattern — software — rather than an inner essence. Software needs a substrate but is explained by its organization and causal role, not by listing the substrate's particles. Bach's “cyberanimism” places minds in the same explanatory category: self-organizing patterns implemented by biological communication networks.
The human theory is more specific than “consciousness is software”:
- Second-order perception: consciousness is the immediate perception that perception is taking place, not necessarily a verbal higher-order thought.
- Nowness: it constitutes the experienced present.
- Optional observer: a first-person observer perspective is a further representation, not a requirement for minimal consciousness. A minimal state can be attention on attention without a personal narrator.
- Coherence and attention: consciousness is proposed to increase coherence among simultaneously active partial models and to orchestrate mental processes through directed attention.
- Genesis: Bach hypothesizes that this is a biological learning algorithm discovered early by self-organizing brains, not a late product of complex cognition.
The machine extension is conditional: comparable self-organizing systems might discover an analogous mechanism. Bach explicitly rejects fluent LLM self-reports as sufficient evidence, because language models can imitate the human record without using the proposed internal mechanism.
Fitz: communication and collective self-models
Stephen Fitz's follow-up makes a stronger social move. His abstract proposes that consciousness is not an epiphenomenon of individual modeling but a property of the internal language a collective evolves to describe itself: “consciousness does not emerge from modeling per se, but from communication.”
The proposed architecture uses local predictive agents that exchange compressed messages. Agents model other agents' models, producing recursive, higher-order representations. Under bandwidth constraints, they must invent shared codes; a stable collective self-model is hypothesized to emerge from this mutual modeling and synchronization.
Fitz therefore supplies a close computational neighbor for the corpus's social-narrative hunch: selfhood arises between communicating observers, not inside an isolated modeler. The lossy channel matters in his account because compression forces abstraction, interpretation, and the invention of a shared protocol.
What this does not support
- Bach does not simply say consciousness is narrative. His minimal consciousness can lack an observer and a verbal story. That is a direct challenge to defining consciousness as self-narrative without qualification.
- Fitz is not Bach's original theory unchanged. Communication-based collective selfhood is a substantive relocation from Bach's second-order perception and coherence account. The connection between the two still needs argument.
- No experimental validation. Fitz supplies an architecture and candidate measurements, not reported experiments, controls, or results. It is a research programme, not evidence that collective consciousness has been produced.
- No current-LLM verdict. Neither fluent self-report nor apparent collective role-play establishes the relevant internal organization.
- No solution to the Hard Problem by declaration. Calling consciousness a causal or computational pattern states the functionalist commitment; it does not demonstrate why that pattern is experiential.
How the corpus uses it
Use Bach and Fitz for two different jobs:
- Bach as the discipline/rival: distinguish minimal consciousness, observerhood, self-model, and narrative self. If the corpus claims that self-narrative explains human cumulative capability, it must not silently redefine every form of consciousness as narration.
- Fitz as the speculative social neighbor: his collective self-model hypothesis resembles the claim that communication couples individual models into a higher-order self. It can motivate the mechanism, provided the text says it is untested and does not confuse shared representation with shared phenomenology.
The social-human side remains anchored in Research Notes: Mead's Social Self and Research Notes: Self-Consciousness and Intersubjectivity; the cumulative-culture bridge is in Research Notes: Shared Intentionality and Cumulative Culture. The minimal/narrative animal distinction is in Research Notes: Animal Self-Awareness.
Sources
- Joscha Bach and Hikari Sorensen, The Machine Consciousness Hypothesis, September 15, 2025, updated January 15, 2026. CIMC PDF.
- Stephen Fitz, Testing the Machine Consciousness Hypothesis, arXiv:2512.01081, submitted November 30, 2025. arXiv abstract.
- Machine Learning Street Talk — “Why Consciousness Might Not Be Hard At All (Joscha Bach)”, published November 2, 2026.
- Local full-text analyses:
research/consciousness/joscha-bach-consciousness-not-hard/paper-analysis.mdandsummary.md.