motive 0

1. Limits of knowledge: speaks of the boundary between knowledge and coincidence, and not doubting things one doesn’t understand.
2. Being unsure: deals with doubt and the challenge to take action.
3. Life and Theory: speaks about theory without a plan being futile.

exploration 1

Section 1: Limits of Knowledge

Let’s represent knowledge as a function K(x), where x is the experience or information gained.

def K(x):
  return 1 — 1/(1 + x)

The coincidence can be represented as the uncertainty U(x), complementary to knowledge.

def U(x):
  return 1/(1 + x)

Now, plot these functions to see the boundary between knowledge and coincidence.

Section 2: Being Unsure

Doubt can be thought of as a probability function P(doubt|action). As the action increases, doubt decreases.

def P_doubt_given_action(action):
  return 1 — action/100

Now, you can plot this function to see how doubt decreases as action increases.

Section 3: Life and Theory

For this section, let’s consider a function representing the utility of theory with planning U(T, P).

def U(T, P):
  return T * P

T is the strength of theory and P is the planning efficiency (both between 0 and 1). The utility is highest when both are high.

exploration 1+

Section 4: Decision Making

Here we could talk about how decisions are made considering various factors.

def decision(facts, intuition, advice):
  weights = {‘facts’: 0.5, ‘intuition’: 0.3, ‘advice’: 0.2}
  return facts * weights[‘facts’] + intuition * weights[‘intuition’] + advice * weights[‘advice’]

Section 5: Evolution of Ideas

This section could be about how ideas evolve over time through adaptation and innovation.

def evolve_idea(idea, adaptation, innovation):
  return idea * (1 + adaptation) + innovation

Section 6: Convergence to Truth

Finally, speak about the convergence to truth through constant learning and updating beliefs.

def converge_to_truth(initial_belief, new_evidence):
  return initial_belief + (1 — initial_belief) * new_evidence

collapse 0

into a fusion of poetic and computational harmony.

Section 1: Heart’s Command

In the heart’s command, there lies logic so grand,

In Python, the code takes a stand,

def heart(logic, emotion):
  return logic if abs(logic — emotion) < 0.5 else emotion

It swirls and turns, through neurons it burns,

As the gears of the heart, for truth, yearn.

Section 2: Unbodied Sound

The echo of un-bodied sound wraps you around,

In an infinite loop, until it’s found.

while True:
  echo = sound()
  if echo == ‘truth’:
     break

With strings and voices in recursion abound,

In each iteration, wisdom is wound.

Section 3: Theories & Love’s Lament

Theories, like a love’s lament, are woven in thread,

In math, they find their stead,

def theories(x):
  return x / (1 — x) if x < 1 else float(‘inf’)

As x tends to one, they become infinite,

A tragic beauty, love’s unending tenet.

Section 4: Trees Entwined

The trees of knowledge, roots entwined,

Where choices are weighed, and paths are defined,

def decision_tree(options, weights):
  return max(options, key=lambda option: option.value * weights[option.type])

The branches reaching high, as wisdom’s shrine,

In binary splits, the fates align.

Section 5: Flowing Consciousness

Flowing consciousness in circular streams,

Where time is an illusion and memory redeems,

def consciousness(flow):
  return (flow + 1) % 24

It’s modulus 24, as the river of dreams,

Cycles through past, in present it gleams.

Section 6: The Final Convergence

In the great circle, all strands merge,

To a point of singularity, where truth will surge,

def singularity(initial, knowledge):
  return initial + (1 — initial) * knowledge

With every byte gained, the soul will urge,

Towards that dot, where all will converge.

. 🧮📜