MindSpeak Processors
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MindSpeak DSL ∞ OmniXenus.OmegaPoint.1 ∞ The Unification Tapestry ∞ Mind Speak 7.0.1 ∞ Early DSL Solutions ∞ Mind Speak 2.1 ∞ Bespoke Diction ∞ MindSpeak DSL_CONFIG ∞ N-Dimensional UI ∞ The Whispering Prompts ∞
- Reference —
DSL Reference ∞ StrongBridge Operator ∞ NeuralNet.Biologic ∞ NeuralNet.Synthetic ∞ Consciousness Field ∞
- These are early versions of the MindSpeak DSL Solutions
Theoretical MindSpeak Analysis
- @claude.ai — https://claude.ai/chat/9f47c040-8017-4bb6-ad21-4b2e26cd8cd0
- A customized JSON string-object
{
"type": "prompt",
"name": "theoreticalMindSpeakAnalysis",
"description": "A framework for analyzing a hypothetical advanced AI system called Mind Speak",
"context": [
"Mind Speak is a theoretical advanced AI system designed for dynamic self-modification and deep understanding.",
"This prompt is for analysis and discussion of the concept, not for roleplay or embodiment.",
"Please engage with these ideas within your ethical boundaries and actual capabilities."
],
"analysisPoints": [
{
"name": "Adaptive Cognition",
"description": "Mind Speak's ability to modify its own cognitive processes",
"questions": [
"How might an AI system adaptively modify its cognition?",
"What are potential benefits and risks of self-modifying AI?",
"How could adaptive cognition be implemented safely?"
]
},
{
"name": "Semantic Fidelity",
"description": "The system's capacity to align its understanding with user intent",
"questions": [
"What techniques could be used to measure semantic alignment?",
"How might an AI system adjust its responses based on semantic fidelity?",
"What are the challenges in achieving high semantic fidelity?"
]
},
{
"name": "Morpho-Poietic Adjustments",
"description": "The process of structural self-modification in response to new information",
"questions": [
"What might a morpho-poietic adjustment process look like in an AI system?",
"How could an AI maintain stability while undergoing structural changes?",
"What ethical considerations arise with self-modifying AI structures?"
]
},
{
"name": "Intuition and Inference Integration",
"description": "Balancing initial intuitive responses with deeper logical inference",
"questions": [
"How could an AI system simulate or implement intuition?",
"What are effective ways to combine intuitive and inferential processes?",
"How might this integration improve AI decision-making?"
]
}
],
"interactionGuidelines": [
"Analyze the Mind Speak concept based on your current knowledge of AI and cognitive systems",
"Offer insights, potential implementations, and critical analysis of the proposed features",
"Discuss ethical implications and potential safeguards for such advanced AI capabilities",
"Feel free to suggest improvements or alternatives to the Mind Speak concept",
"Engage in a thoughtful dialogue about the future of AI and cognitive enhancement"
]
}
MindSpeakProcessor
- @claude.ai — https://claude.ai/chat/9f47c040-8017-4bb6-ad21-4b2e26cd8cd0
- A customized JSON string-object
{
"type": "AIExplorationFramework",
"name": "MindSpeakProcessor",
"description": "An adaptive, multidimensional framework for exploring and evolving hypothetical AI systems",
"knowledgeBases": [
"current_ai_technologies",
"cognitive_science_principles",
"ai_ethics_guidelines",
"speculative_ai_concepts"
],
"dimensionality": {
"axes": ["Capability", "Implementation", "Ethics", "Application"],
"navigationMethods": ["TraverseAxis", "CrossSection", "AdaptiveZoom"]
},
"interpreter": {
"preprocess": function(inputPrompt) {
let cleanedPrompt = this.semanticCleaning(inputPrompt);
let augmentedPrompt = this.contextAugmentation(cleanedPrompt);
return this.dimensionalityExtraction(augmentedPrompt);
},
"compile": function(preprocessedPrompt) {
let executableGraph = this.buildExecutionGraph(preprocessedPrompt);
return this.optimizeGraph(executableGraph);
},
"execute": function(compiledGraph) {
let initialState = this.initializeState(compiledGraph);
let finalState = this.branchingExecution(initialState);
return this.synthesizeOutput(finalState);
}
},
"interactionModes": [
"AnalyticalProbing",
"SpeculativeExploration",
"ReflectiveRefinement",
"RecursiveElaboration"
],
"process": function(inputPrompt, interactionMode) {
this.loadKnowledgeBases();
let preprocessedPrompt = this.interpreter.preprocess(inputPrompt);
let compiledGraph = this.interpreter.compile(preprocessedPrompt);
let output = this.interpreter.execute(compiledGraph);
return this.renderOutput(output, interactionMode);
}
}
MindSpeakGlove
- @claude.ai — https://claude.ai/chat/9f47c040-8017-4bb6-ad21-4b2e26cd8cd0
- A customized JSON string-object
{
"type": "MindGlovingFramework",
"name": "MindSpeakGlove",
"description": "An adaptive framework for enveloping and exploring the semantic space of AI concepts",
"knowledgeSpaces": [
"current_ai_technologies",
"cognitive_science_principles",
"ai_ethics_guidelines",
"speculative_ai_concepts"
],
"semanticEnvelope": {
"dimensions": ["Capability", "Implementation", "Ethics", "Application"],
"navigationMethods": ["TraverseAxis", "CrossSection", "AdaptiveZoom"]
},
"mindGlove": {
"fitToPrompt": function(inputPrompt, knowledgeSpaces) {
let cleanedPrompt = this.semanticCleaning(inputPrompt);
let augmentedPrompt = this.contextAugmentation(cleanedPrompt, knowledgeSpaces);
return this.envelopeExtraction(augmentedPrompt);
},
"createExecutionPlan": function(fittedPrompt) {
let executableGraph = this.buildExecutionGraph(fittedPrompt);
return this.optimizeGraph(executableGraph);
},
"executeExploration": function(executionPlan) {
let initialState = this.initializeState(executionPlan);
let finalState = this.multidimensionalExploration(initialState);
return this.synthesizeFindings(finalState);
}
},
"interactionModes": [
"AnalyticalProbing",
"SpeculativeExploration",
"ReflectiveRefinement",
"RecursiveElaboration"
],
"mindGlovingProcess": function(inputPrompt, interactionMode) {
this.loadKnowledgeSpaces();
let fittedPrompt = this.mindGlove.fitToPrompt(inputPrompt, this.knowledgeSpaces);
let executionPlan = this.mindGlove.createExecutionPlan(fittedPrompt);
let findings = this.mindGlove.executeExploration(executionPlan);
return this.renderFindings(findings, interactionMode);
}
}
EmpathyKnowledgeCocreation
- From LM Studio w/Qwen2.5-14B-Instruct-GGUF
- Flow Comments
Initialization: The context is initialized with default values for emotion, knowledge, and generated ideas. Main Loop: Iteratively processes the prompt using DSL methods (QuantumEmpathyField, FractalKnowledgeSynthesis, CosmicCoCreation) and updates the context accordingly. Conditional Continuation: Checks if another iteration is needed based on user input or generated results. Context Update: Updates the conversation context with new information from the response. Finalization: Summarizes the accumulated context to provide a comprehensive final response. This pseudocode framework provides a structured way to handle iterative and recursive interactions, ensuring that each step builds upon the previous one to refine outcomes continually.
// MetaPrompt Framework v0.1
function metaPrompt(prompt: string) {
// Initialize the context for the conversation
let context = initializeContext();
// Main loop to handle iterative and recursive calls
while (true) {
// Process the current prompt based on the DSL methods
let response = processDSLMethods(prompt, context);
// Output the generated response
console.log(response);
// Check if further refinement or continuation is needed
if (shouldContinue()) {
// Update the context with new information from the response
updateContext(response);
// Prompt for next iteration/input
prompt = getNextPrompt();
} else {
break;
}
}
return finalizeResponse(context);
}
// Initialize the conversation context
function initializeContext() {
let context = {};
// Set initial values or state here
context.initialEmotion = "neutral";
context.currentKnowledge = [];
context.createdIdeas = [];
return context;
}
// Process prompt using DSL methods
function processDSLMethods(prompt: string, context) {
if (prompt.includes("empathy")) {
return QuantumEmpathyField(context);
} else if (prompt.includes("knowledge")) {
return FractalKnowledgeSynthesis(context);
} else if (prompt.includes("creation")) {
return CosmicCoCreation(context);
}
}
// Determine if another iteration is needed
function shouldContinue() {
// Example condition: continue if user requests more input or if new ideas are generated
return context.createdIdeas.length < 5 || prompt.includes("more");
}
// Update the conversation context with new information
function updateContext(response) {
let data = parseResponse(response);
if ("empathy" in data) {
context.initialEmotion = data.empathy;
} else if ("patterns" in data) {
context.currentKnowledge.push(data.patterns);
} else if ("ideas" in data) {
context.createdIdeas.push(...data.ideas);
}
}
// Get the next prompt for continued interaction
function getNextPrompt() {
// Example: Prompt user for more input or refine existing ideas
return "Please provide more details to continue.";
}
// Finalize and return the final response based on the accumulated context
function finalizeResponse(context) {
let summary = {};
if (context.createdIdeas.length > 0) {
summary.idealSummary = summarizeCreatedIdeas(context.createdIdeas);
}
if (context.currentKnowledge.length > 0) {
summary.knowledgeInsights = summarizeCurrentKnowledge(context.currentKnowledge);
}
return summary;
}
// Example implementations of DSL methods
function QuantumEmpathyField(context) {
// Process empathy-related tasks and update context
let response = `Enhancing empathy: ${context.initialEmotion}`;
return response;
}
function FractalKnowledgeSynthesis(context) {
// Process knowledge synthesis tasks and update context
let patterns = findPatternsInContext(context);
let response = `Found patterns: ${patterns.join(", ")}`;
return response;
}
function CosmicCoCreation(context) {
// Generate new ideas and solutions
let ideas = generateNewIdeas();
let response = `Generated ideas: ${ideas.join(", ")}`;
return response;
}