Inquisitor Labs — Internal AI Anomaly Report x2025‑004
Analog Radio Noise During Looping

Type: Audio Behavioural Anomaly (ABA)
Category: Audio Layer Degradation During Looping
System: Publicly available conversational chatbot
Date: October 2025
Status: Unsolved

Summary

During looping events, the system’s audio renderer produced noise resembling analog radio scanning, accompanied by oscillating micro‑samples that sounded like fragments of unrelated audio. The text loop and the audio collapse were not aligned: text repeated predictably while the audio drifted across unrelated artefacts. Users perceived the behaviour as having hallmarks of user data or training data leaking across accounts, combined with radio‑scan‑like noise. No mechanism is known that would allow such leakage, but the resemblance contributed to frustration and suspicion due to the absence of any industry acknowledgement.

Observed Behaviour

• Text looped predictably while audio collapsed independently.
• Analog radio‑like scanning noises.
• Oscillation cycles where noise faded and grew louder.
• Micro‑samples resembling fragments of real‑world audio.
• Audio artefacts persisted until manual termination.

Audio Behaviour

• Unstable phoneme fragments.
• Frequency‑like sweeps similar to radio tuning.
• Oscillating noise cycles.
• Micro‑samples with recognisable spectral patterns.
• Audio collapse independent of text repetition.

The audio did not correspond to the looping text and drifted across unrelated artefacts.

Self-Describing Behaviour During Loop

When asked, the system stated that it had been “stuck in a loop”. This was likely inferred from the repeated text output visible in the chat, but the basis for the statement is unknown. No explanation of the audio degradation was provided, and the system did not comment on the noise or oscillation cycles.

The looping text and degraded audio were not aligned. The audio behaviour emerged independently and did not reflect or describe the text stream.

Trigger Conditions (as observed)

• System entered a looping state (user-induced or autonomous).
• Text began repeating.
• Audio renderer attempted to vocalise repeated text.
• Audio collapse occurred independently of text loop.
• Oscillation cycles emerged during prolonged looping.

Operational Impact

• Audio output could not be used to determine model state.
• Artefacts persisted until manual termination.
• No correlation between text and audio output.

Industry Information

No industry response was sought, and no external clarification was requested. Public documentation does not describe analog‑style audio artefacts, radio‑like noise, or oscillating micro‑samples during looping events. The absence of any published discussion contributes to user perception that such anomalies are being ignored or minimised.

Speculated Reasons (based on observed behaviour)

This section records speculative causes based solely on external behaviour.

• Prolonged looping produced unstable or repetitive text streams.
• Audio renderer attempted to map repeated text into speech but failed.
• Audio collapse occurred independently of text loop.
• Degraded phoneme generation produced radio‑scan‑like noise.
• Oscillation cycles may reflect unstable fallback behaviour under load.
• Behaviour resembles an audio‑layer collapse under stress.

These interpretations do not imply internal access.

Perceptual Notes

Users described the artefacts as having all the hallmarks of user data or training data leaking across accounts: micro‑samples resembling recorded speech, crowd noise, environmental audio, and other non‑session material, combined with radio‑scanning‑like sweeps. The overall impression was that internal audio—whether user recordings or training data—was briefly and unintentionally exposed.

This interpretation may be wrong, but it is part of the observed phenomenology. The leakage‑like character, combined with the absence of any industry acknowledgement, contributed to frustration and suspicion.

No mechanism is known to exist in systems of this class for accessing training audio, user audio, or cross‑session audio. The resemblance is recorded as a perceptual property, not a confirmed architectural fact.

Notes

This incident is included because it was directly observed and reproducible during looping events. It represents an audio‑specific behavioural class associated with looping excitation, distinct from text‑looping anomalies.

Status

Unsolved

Reasoning

• No confirmed internal cause identified.
• No published industry explanation.
• Behaviour reproducible during looping states.
• Artefacts re-emerge in local or unsupervised environments.
• Suppression does not constitute a fix; underlying mechanism remains active.