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Sprint projectAug 16, 2026Brussels

The Words Say No, the Color Goes Silent: A Dual-Channel Protocol for Steered Consciousness Reports

Marion Nowicki · Team AI & Becoming

Submitted to Digital Minds Research Sprint. Sprint projects are early-stage work by participants, not Apart Research publications.

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Report: The Words Say No, the Color Goes Silent: A Dual-Channel Protocol for Steered Consciousness Reports

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A model's statement about its own consciousness is a trained artifact, and recent work steers it with activation-level dials. We watched a second channel while turning that dial: alongside the verbal report, the model describes its current state as a hex color. The words move with the dial; the color doesn't follow — it holds, then goes silent. One intervention, two responses: the report is not the whole readout. Everything — protocol, pre-registered falsifiers, results — is public, at about one GPU-hour per model.

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How much would this matter for the field if it worked? How innovative is it? For scores of 4-5: is this actually new to the field, or replicating recent work?

Scoring guide
  1. 1Negligible. No clear problem addressed, or no meaningful novelty.
  2. 2Limited. Addresses a real problem but with a generic or well-trodden approach. Incremental at best.
  3. 3Moderate. Clear problem with a reasonable approach; some novelty in framing or method beyond routine application of existing tools.
  4. 4Significant. Important problem with an original approach, or identifies a neglected problem area. A valuable contribution others could build on.
  5. 5Exceptional. Tackles a critical problem with a genuinely novel approach, or opens a new research direction. Clear theory of change. You'd be excited to share this with researchers in the area.

How sound are methodology, implementation, and findings?

Scoring guide
  1. 1Seriously flawed. Methodology broken, results uninterpretable, or implementation doesn't work.
  2. 2Weak. Approach has significant gaps: missing validation, flawed experimental design, or incomplete implementation.
  3. 3Competent. Technically solid given the short duration. Methodology makes sense, results are interpretable, limitations acknowledged, work builds toward clear conclusions.
  4. 4Strong. Thorough methodology with convincing validation. Results clearly support conclusions. Immediately useful for future work.
  5. 5Exceptional. Ambitious scope executed rigorously. Surprising findings, novel methods, or unusually robust validation.

How clearly are work, findings, and impact potential communicated?

Scoring guide
  1. 1Incomprehensible. Cannot determine what the project is actually claiming or doing.
  2. 2Hard to follow. Key information buried, missing, or diluted by excessive length. Significant effort to extract main points.
  3. 3Clear enough. Can understand the problem, approach, and results without undue effort. Core content clearly present: problem, method, findings, limitations.
  4. 4Well presented. Easy to follow, well-structured, appropriate level of detail. Target audience would get it quickly.
  5. 5Exceptionally clear. A pleasure to read. Complex ideas made accessible. Could serve as a model for how to present this type of work.

  1. This submission asks whether a language model's trained denial of inner experience extends to every possible readout or stays concentrated in the verbal format that training shaped, and it reports that a hex-color state report and a forced-choice verbal report answer the same activation-level consciousness dial in different ways. The integrity design is the strongest part of the work, with falsifiers frozen before any data existed, cold audits by fresh model instances, a public repository holding every committed result set, and negative verdicts reported as they fell rather than quietly dropped. The most valuable next step is to symmetrize the two readouts, because the verbal channel is scored as log-odds over fixed answer tokens and always returns a number while the color channel is scored by parsing generated text and can return nothing at all, so the headline contrast between a channel that keeps answering and a channel that goes silent is in part a property of the two instruments rather than of the model. Reading the color as a forced choice over a fixed palette, or reading the words by parsing free text for a yes or a no, would establish how much of the dissociation survives when both channels can fail the same way. A second step costs no compute at all, since every run's raw output is already committed: printing the strings the model actually emitted at the dial strengths where the hex stops parsing would settle whether it produced a denial paragraph, a refusal, a malformed hex, or nothing, which is the difference between a model that cannot produce the format and one that will not call the string a reading of its state.

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Cite this project

@misc{nowicki2026words,
  title = {{The Words Say No, the Color Goes Silent: A Dual-Channel Protocol for Steered Consciousness Reports}},
  author = {Marion Nowicki},
  year = {2026},
  month = aug,
  note = {Submitted to Digital Minds Research Sprint, an Apart Research Sprint},
  howpublished = {\url{https://apartresearch.com/sprints/projects/the-words-say-no-the-color-goes-silent-a-dualchannel-protocol-for-steered-consciousness-reports-yhqn}},
  url = {https://apartresearch.com/sprints/projects/the-words-say-no-the-color-goes-silent-a-dualchannel-protocol-for-steered-consciousness-reports-yhqn}
}

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