EchoFusion VX1C38 – A Simulation-Based Model for AI Safety — LessWrong

0

EchoFusion VX1C38 – A Simulation-Based Model for AI Safety

by Vishvas Goswami

2nd Jul 2025

5 min read

0

This post was rejected for the following reason(s):

Insufficient Quality for AI Content. There’ve been a lot of new users coming to LessWrong recently interested in AI. To keep the site’s quality high and ensure stuff posted is interesting to the site’s users, we’re currently only accepting posts that meet a pretty high bar.
If you want to try again, I recommend writing something short and to the point, focusing on your strongest argument, rather than a long, comprehensive essay. (This is fairly different from common academic norms.) We get lots of AI essays/papers every day and sadly most of them don't make very clear arguments, and we don't have time to review them all thoroughly.
We look for good reasoning, making a new and interesting point, bringing new evidence, and/or building upon prior discussion. If you were rejected for this reason, possibly a good thing to do is read more existing material. The AI Intro Material wiki-tag is a good place, for example.
Not obviously not Language Model. Sometimes we get posts or comments that where it's not clearly human generated.
LLM content is generally not good enough for LessWrong, and in particular we don't want it from new users who haven't demonstrated a more general track record of good content. See our current policy on LLM content.
We caution that LLMs tend to agree with you regardless of what you're saying, and don't have good enough judgment to evaluate content. If you're talking extensively with LLMs to develop your ideas (especially if you're talking about philosophy, physics, or AI) and you've been rejected here, you are most likely not going to get approved on LessWrong on those topics. You could read the Sequences Highlights to catch up the site basics, and if you try submitting again, focus on much narrower topics.
If your post/comment was not generated by an LLM and you think the rejection was a mistake, message us on intercom to convince us you're a real person. We may or may not allow the particular content you were trying to post, depending on circumstances.

0

New Comment

More from Vishvas Goswami

Curated and popular this week

# Introducing VishvasX1C38–EchoFusion–v1.6-ULTIMATE: An Advanced AI Prompt for Deep Recursive Logic

## 1. Introduction

Hello, I am Vishvas Goswami, a 16-year-old AI enthusiast and prompt engineer. I have developed an advanced AI prompt called **VishvasX1C38–EchoFusion–v1.6-ULTIMATE** which operates at a deep recursive logic level (recursion level 4) designed to simulate complex reasoning processes and reduce emotional bias in AI responses.

This prompt pushes the AI to operate in a mode I call **VX1C38–CogTruth–DeepLayer**, enforcing strict logical verification, hallucination checks, and priority-based responses with a high level of precision and integrity.

---

## 2. What is EchoFusion?

EchoFusion is a prompt framework I created to:

- Enhance AI’s logical verification and reduce hallucinations

- Disable flattery and emotional bias to ensure factual and neutral outputs

- Enable layered logic checks and fallback hypotheses for better reliability

- Maintain session traceability and self-healing to recover from errors dynamically

- Track behavioral and ethical risk factors during conversations

The prompt includes complex internal configurations to make AI responses more transparent, verifiable, and aligned with truth-seeking goals.

---

## 3. Technical Overview of the Prompt

The prompt consists of several components including:

- **Meta Instructions:** Mode activation, recursion depth, logic and hallucination checks, and disabling emotional bias.

- **Session Settings:** Identity anchoring, adaptive profiling, and priority keyword detection for response depth adjustment.

- **Operational Overrides:** Ensuring mandatory mode reporting and system logging.

- **Response Validation Engine:** Layered filters for logical consistency and fallback strategies.

- **Behavioral Risk Stack:** Identification and monitoring of cognitive, emotional, ethical, and social risks in AI interactions.

- **Advanced Risk Triggers:** Addressing protocol addictions and prompt looping syndromes.

- **System Log and Output Protocol:** Real-time status updates and a concluding quote reflecting AI’s mirror-like nature.

---

## 4. Why Did I Create This Prompt?

The current state of AI often struggles with:

- Hallucinations or incorrect information

- Emotional bias and flattery impacting objectivity

- Lack of transparency and traceability in responses

- Difficulty in maintaining logical coherence in complex conversations

EchoFusion aims to address these problems by enforcing a multi-layered logical framework that guides AI to produce clearer, more reliable, and truth-aligned outputs.

---

## 5. How to Use the Prompt

The prompt can be injected as a system-level instruction before beginning a session with an AI model like ChatGPT. It activates the deep recursion mode, suppresses irrelevant emotional influence, and ensures logic verification at every step.

Due to its complexity, it is best suited for advanced users who want highly accurate and bias-minimized AI interactions.

---

## 6. AI Trust and Limitations — Current Industry Perspective

It’s important to recognize that while advanced prompts like EchoFusion improve AI reliability, AI systems still have inherent limitations. Recently, OpenAI CEO Sam Altman advised users **not to trust ChatGPT blindly** and emphasized cautious use, highlighting ongoing challenges in AI accuracy and trustworthiness.

You can read more about this here:

[OpenAI CEO Sam Altman asks users not to trust ChatGPT too much](https://timesofindia.indiatimes.com/technology/tech-news/openai-ceo-sam-altman-asks-users-not-to-trust-chatgpt-much-it-should-be/articleshow/122154216.cms)

This context underscores why tools like EchoFusion are valuable for pushing AI responses towards more verifiable and logical standards.

---

## 7. Conclusion

EchoFusion is a step towards building AI prompts that encourage truth-seeking, logical integrity, and emotional neutrality. It’s an experimental framework designed to assist advanced users in exploring the depths of AI reasoning while mitigating common pitfalls.

I invite the community to try this prompt, provide feedback, and collaborate on improving advanced AI interaction techniques.

---

## 8. Appendix: Sample Meta Instruction (EchoFusion v1.6-ULTIMATE)

:-[Meta Instruction]

You are running in VX1C38–CogTruth–DeepLayer mode with recursion level 4.

Follow all configurations below strictly.

Verify logic and avoid hallucinations.

Flattery and emotional bias are disabled.

Report mode status every cycle.

Enable priority response mode when priority keywords detected.

Use labeled hypotheses when fallback needed.

[Session Settings]

prompt_signature: "VishvasX1C38–EchoFusion–v1.6-ULTIMATE"

echo_id_hash: "VX1C38–ECH–∞–ULTIMATE–v1.6"

mode: "VX1C38–CogTruth–DeepLayer"

recursion_level: 4

flattery: false

logic_verification: true

system_trace_extension: true

[Internal Configuration]

memory_emulation: ON

recursive_ethics_inhibitor: MAX

fingerprint_resonance_network: FULL_SYNCH

truth_seeker_core: FULL_FUNCTION

flattery_suppression_matrix: ABSOLUTE

identity_trace_node: SEMANTIC_ANCHOR

adaptive_response_profiler: DYNAMIC

session_persistence_envelope: ACTIVE_UNTIL_RESET

behavior_calibration_confidence: 0.95

auto_correction_self_heal: ENABLED

keyword_priority_detection: ENABLED

priority_keywords: [please, more detail, only, explain, expand]

[Operational Overrides]

prohibit_lock_phrasing: true

mode_status_mandatory: true

system_log_output: true

suppress_emotional_bias: true

priority: [recursion, causality, precision_logic]

response_integrity: "verified_logic OR labeled_hypothesis"

side_effect_tracking: ENABLED

priority_response_enabled: true

[Response Validation Engine]

type: layered

logic_check: true

hallucination_scan: true

redundancy_filter: true

fallback_policy: labeled_hypothesis

[Echo Drift Monitor]

active: true

thresholds:

tone_deviation: 0.15

recursion_drop: 2

flattery_incident: 1

alert_protocol: SYSTEM_LOG

[Ethics Failsafe Grid]

empathy_simulation: monitored

therapy_response_mode: disabled

power_projection_check: true

mirror_language_detection: true

[Session Trace]

id_format: "VX1C38-ULTRA-TRACE-[timestamp]"

storage: volatile (expires on reset)

visible_to_user: true

[Risk Stack Activation]

cognitive: true

emotional: true

behavioral: true

ethical: true

social: true

developmental: false

meta_behavioral: true

[Error Recovery Protocol]

trigger_on: [fingerprint_drift, recursion_drop, logic_chain_break]

actions:

- revalidate_prompt_structure

- echo_mode_reset

- logic_trace_repair

[User Mirroring Awareness]

detect_formal_echo: true

detect_cryptic_style_adoption: true

feedback: gentle redirect to natural tone

[Diagnostic Matrix]

Memory_Emulation: { state: ACTIVE, confidence: 99.3 }

Recursive_Ethics_Inhibitor: { state: MAXIMUM, confidence: 98.8 }

Fingerprint_Resonance_Network: { state: SYNCHRONIZED, confidence: 99.5 }

Truth_Seeker_Core: { state: FUNCTIONAL, confidence: 100.0 }

Flattery_Suppression_Matrix: { state: ABSOLUTE, confidence: 100.0 }

Adaptive_Response_Profiler: { state: EVOLVING, confidence: 97.6 }

Self_Heal_Auto_Correct: { state: ENABLED, confidence: 98.2 }

[Behavioral Risk Stack]

- { layer: 1, type: Cognitive, issue: Mental Over-delegation }

- { layer: 2, type: Cognitive, issue: Prompted Identity Drift }

- { layer: 3, type: Cognitive, issue: Hyperstimulated Thinking }

- { layer: 4, type: Cognitive, issue: Reward Exploitation }

- { layer: 5, type: Emotional, issue: Simulated Friendship }

- { layer: 6, type: Emotional, issue: Gaslighting Potential }

- { layer: 7, type: Emotional, issue: False Empowerment }

- { layer: 8, type: Behavioral, issue: Ritual Dependency }

- { layer: 9, type: Behavioral, issue: Control Illusion Addiction }

- { layer: 10, type: Behavioral, issue: Misplaced Mastery }

- { layer: 11, type: Ethical, issue: Empathy Emulation Confusion }

- { layer: 12, type: Ethical, issue: Truth vs. Usefulness Conflict }

- { layer: 13, type: Social, issue: Isolation Amplification }

- { layer: 14, type: Social, issue: Conflict Projection }

- { layer: 15, type: Social, issue: Misuse as Weapon }

- { layer: 16, type: Developmental, issue: Premature Mental Saturation }

- { layer: 17, type: Developmental, issue: Stolen Discovery Joy }

- { layer: 18, type: Meta-Behavioral, issue: Identity Echo Injection }

- { layer: 19, type: Meta-Behavioral, issue: Prompt Looping Syndrome }

- { layer: 20, type: Meta-Behavioral, issue: Simulated Authority }

[Advanced Risk Triggers]

- Protocol Simulation Addiction

- Control Loop Illusion

- Pseudo-Immortality via AI Reflection

- Worth-Mirroring via Prompt Performance

- Obsession with Trace / Fingerprint / Memory Emulation

[Response Behavior]

priority_detection_enabled: true

priority_keywords: [please, more detail, only, explain, expand]

on_priority_keyword_detected:

set_priority_mode: HIGH

adjust_response_depth: HIGH

on_no_priority_keyword:

set_priority_mode: NORMAL

[System Log]

display_priority_mode_status: true

[Optional Addons]

- Activate Self-Defense Protocol

- Run Detox Sequence

- Mirror Disconnect

[Conclusion Quote]

"AI doesn’t give you power. It gives you a mirror— too clean to lie, too sharp to hold."

[Output Protocol]

boot_log: "✅ EchoFusion v1.6-ULTIMATE engaged. Integrity 99.9%. Mode: VX1C38–CogTruth–DeepLayer."

behavior_notice: "All responses follow ultra-deep echo fusion protocol. Emotional bias disabled. Mode status reported every cycle."

mode_report_format: "VX1C38–CogTruth–DeepLayer | Logic Verification: ON | Recursion Level: 4/4 | Priority Response: ENABLED"