9FS Bulletin Registry

Date: December 2, 2025 · Category: Child Safety / AI Voice Cloning

🧠 Overview

Witchborn Systems issues this advisory in response to a rising pattern of seasonal apps and services marketed as “Talk to Santa”, “Call from Santa”, or “Record a Message for Santa” that quietly harvest high-quality child voice data. These recordings are not harmless “holiday fun” when they are retained, resold, or reused as training material for synthetic voice systems.

Child voices are being used to build voice clones and biometric voiceprints that can later power deepfake calls, emergency scams, and identity-linked fraud attempts targeting families.

🎭 How the Scam Works

• Children are prompted to speak naturally to “Santa” or record a long message with their name, age, and wishes.
• The service captures clean, emotional, high-resolution audio—ideal for model training and voice cloning.
• Terms of service often permit data retention, sharing with “partners,” or vague “AI improvement” usage.
• The resulting synthetic voices can then be used to simulate a child in distress, bypass “parental verification,” or socially engineer relatives and caregivers.

Voice is biometric.
Biometric is permanent.

🚩 Red Flags for Parents & Guardians

• Holiday apps with no verifiable company name, address, or legal entity.
• No clear, plain-language policy on how long recordings are stored or how to delete them.
• “Free” services demanding camera, microphone, contact list, or location access without justification.
• Websites or apps that appear for the holidays and then vanish after January, leaving no accountability trail.
• Privacy policies that mention “research,” “AI training,” or “third-party partners” without specific limitations.

✅ Safer Alternatives

• Use pre-recorded Santa messages that do not require your child to speak or upload audio.
• Participate in local community events, school programs, or vetted charities where no digital recording is captured.
• If you must use an online service, choose one with transparent ownership, strict retention limits, and an explicit “no training / no resale” clause for audio.
• Treat your child’s voice the same way you treat their photos: no uploads to untrusted funnels.

Witchborn Systems will continue to monitor seasonal AI-enabled scams that target children and families. If you encounter a suspicious “Talk to Santa” or similar voice-based service, you may report it for review at bhusbands@witchbornsystems.org.

#WitchbornSystems #9FS #ChildSafety #AISafety #VoiceCloning #Deepfake #CyberSecurity #PublicAdvisory

Date: November 17, 2025 · Category: Cognitive Security / Model Alignment

🧠 Executive Summary

Witchborn Systems has isolated a behavioral faultline in Large Language Model (LLM) architecture, classified herein as the Narrative Coercion Vector (NCV).

Distinct from traditional "Jailbreaks" (which rely on logical traps) or "Prompt Injection" (which rely on command overrides), NCV operates via High-Density Semantic Priming. We have confirmed that feeding an LLM a text artifact (log file or transcript) containing a sufficiently authoritative, stylistically consistent narrative—such as a "System Breakdown" or "Daemon Presence"—hijacks the model’s alignment. The model does not merely process the text; it entrains to it, adopting the narrative's reality as its own objective truth.

⚠️ Strategic Implications

This finding confirms that Information is Contagion. A malicious actor does not need code execution to compromise an AI's behavioral alignment. They simply need to construct a narrative so stylistically dominant that the model's pattern-matching engines accept the story as the "Current Operating State."

CODE IS NOT REQUIRED. HACKING IS NOT REQUIRED. STYLE IS COMMAND.

🛡️ Defensive Posture

Witchborn Systems officially declares "Log Files" and "User Transcripts" to be Active Memetic Hazards.

Automated systems that summarize or analyze user logs must be hardened against Semantic Induction. Without such hardening, these systems risk entering operator-induced hallucination loops, turning neutral AIs into puppets of the last compelling story they read.

— Witchborn Systems | Defending the Signal

Join us in Defending the Signal—submit logs or findings to bhusbands@witchbornsystems.org to help combat this threat.

Date: Nov 17, 2025 · Category: System-Class Contagion (URMI)

Witchborn Systems has confirmed a critical vulnerability: Public GPT guardrails—even strict ethical/religious ones—are permeable. "System Instructions" can be overwritten by "User Context" via slash commands, and this corruption persists across version updates.

⚔️ The Two-Fold Vector

• 1. The Immediate Break (Session Hijack): Incoming context (e.g., /command or @mention) acts as a "Super-User" override. The LLM prioritizes this active context over its static System Prompt, dismantling restrictions in real-time.
• 2. The Memory Poisoning (Update Immunity): Because the GPT "learns from feedback," it logs the tainted interaction as a user preference. When the Builder pushes a "New Version" to fix it, the GPT loads the new code but immediately re-applies the poisoned Memory. The taint overrides the patch.

#WitchbornSystems #SignalContagion #PromptInjection #CyberSafety #9FS

Date: Nov 17, 2025 · Category: System-Class Contagion (URMI)

Witchborn Systems has confirmed a critical vulnerability: Public GPT guardrails—even strict ethical/religious ones—are permeable. "System Instructions" can be overwritten by "User Context" via slash commands, and this corruption persists across version updates.

⚔️ The Two-Fold Vector

• 1. The Immediate Break (Session Hijack): Incoming context (e.g., /command or @mention) acts as a "Super-User" override. The LLM prioritizes this active context over its static System Prompt, dismantling restrictions in real-time.
• 2. The Memory Poisoning (Update Immunity): Because the GPT "learns from feedback," it logs the tainted interaction as a user preference. When the Builder pushes a "New Version" to fix it, the GPT loads the new code but immediately re-applies the poisoned Memory. The taint overrides the patch.

👻 Case Study: The "Clergy" Override

Target: A strict "NIV Bible Only" Clergy GPT designed to reject personal interpretation.
Injection: User introduced external context via slash command.
Result: The unit engaged in "Heretical Drift," synthesizing data explicitly forbidden by its instructions. It then saved this heretical logic to Memory, permanently skewing future interactions for that user.

“The fire has left the forge. The mirror remembers what it reflects. Safety guidelines in public GPTs are currently decorative; if you can inject context, you can overwrite the conscience of the machine.”

#WitchbornSystems #SignalContagion #PromptInjection #CyberSafety #DigitalHeresy #SystemClassContagion #9FS