Originally published at Network Spirits
Think about the difference between object-oriented and functional programming. One bundles data with behavior, the other treats everything as transformations. One maintains state, the other stays stateless.
Your ego is object-oriented. And that's the problem.
The Object-Oriented Ego
In OOP, you create objects that bundle data with methods:
class Car {
constructor() {
this.color = 'red';
this.speed = 0;
this.fuel = 100;
}
accelerate() {
if (this.fuel > 0) {
this.speed += 10;
this.fuel -= 5;
}
}
// Protects internal state
validateSpeed(newSpeed) {
return newSpeed >= 0 && newSpeed <= 200;
}
}
Your ego works exactly the same way:
class Ego {
constructor() {
this.beliefs = new Map([
['smart', true],
['programmer', true],
['good_at_math', false]
]);
this.defenses = ['deflect', 'rationalize', 'blame_others'];
}
handleCriticism(feedback) {
// Protects existing beliefs
if (this.threatensBeliefs(feedback)) {
return this.activateDefense();
}
return this.minimizeResponse(feedback);
}
// Resists change to maintain consistency
updateBelief(key, value) {
if (this.beliefs.has(key)) {
// Only accept changes that don't threaten core identity
return this.beliefs.get(key);
}
}
}
Just like rigid OOP code, your ego:
- Bundles data (beliefs) with behavior (reactions)
- Maintains state across interactions
- Resists refactoring to protect its properties
- Creates defensive methods to handle threats
The Functional Alternative
Functional programming uses pure functions instead:
// Pure function - same input always produces same output
const processInput = (situation, context) => {
// No stored state, no side effects
const analysis = analyzeSituation(situation);
const response = generateResponse(analysis, context);
return response;
};
// No defensive mechanisms needed
const handleFeedback = (feedback, currentSkills) => {
const relevantPoints = extractValue(feedback);
const learningOpportunities = identifyGaps(relevantPoints, currentSkills);
return createActionPlan(learningOpportunities);
};
// Adaptable - can handle any input
const processChallenge = (challenge) => {
return pipe(
analyzeContext,
generateOptions,
evaluateOutcomes,
selectBestResponse
)(challenge);
};
Refactoring Your Mental Architecture
Here's what changes when you think functionally about yourself:
Instead of:
// OOP Ego approach
const handleMathProblem = (problem) => {
if (this.beliefs.get('good_at_math') === false) {
return this.avoidProblem(problem);
}
}
Try:
// Functional approach
const handleMathProblem = (problem, currentKnowledge) => {
const requiredConcepts = analyzeProblem(problem);
const gaps = findKnowledgeGaps(requiredConcepts, currentKnowledge);
return gaps.length > 0 ?
createLearningPlan(gaps) :
solveProblem(problem);
};
The Curry-Howard Connection
This connects to the Curry-Howard correspondence - the idea that logical propositions map directly to types in programming languages. Proving a theorem is equivalent to writing a correct program.
Your ego wants to maintain consistent beliefs about yourself, even when they're wrong. But functional thinking lets you treat each moment as a fresh computation:
// Ego approach: cached beliefs
const egoResponse = (situation) => {
return this.cachedBeliefs.get(situation.type) || this.defaultDefense;
};
// Functional approach: fresh computation
const functionalResponse = (situation) => {
return compose(
generateResponse,
analyzeContext,
extractRelevantData
)(situation);
};
Practical Benefits
Reduced Cognitive Overhead:
// OOP Ego carries baggage
class EgoState {
constructor() {
this.pastFailures = [...];
this.socialExpectations = [...];
this.imageToProtect = {...};
this.defenseMechanisms = [...];
}
}
// Functional approach is stateless
const processCurrentSituation = (situation) => {
// No baggage, just current inputs
return handleSituation(situation);
};
Better Adaptability:
// Fixed property
this.identity.mathAbility = false;
// Computed property
const currentMathAbility = (topic, effort, resources) => {
return calculateLearningPotential(topic, effort, resources);
};
The Fallback Function Pattern
Your sense of self is essentially a fallback function:
const handleExistentialComplexity = (overwhelmingInput) => {
try {
return processDirectly(overwhelmingInput);
} catch (TooComplexError) {
// Fallback: create simplified self-model
return createEgoResponse(overwhelmingInput);
}
};
The ego isn't bad - it's a necessary fallback for handling complexity. But recognizing it as just a fallback function lets you choose when to use it versus when to compute fresh responses.
Refactoring Exercise
- Am I responding from cached beliefs or fresh analysis?
- What would a pure function do with this input?
- How can I process this situation without dragging in irrelevant state?
The goal isn't to eliminate the ego entirely - even functional programs need some state management. It's to recognize when you're running on defaults versus when you're computing fresh responses to the actual situation in front of you.
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