AI from the base

This diagram contrasts two approaches: traditional rule-based systems that achieve 100% accuracy within limited scope using human-designed logic, versus AI systems that handle massive datasets through neural networks with probabilistic reasoning. While traditional methods guarantee perfect results in narrow domains, AI offers scalable, adaptive solutions for complex real-world problems despite requiring significant energy and operating with uncertainty rather than absolute certainty

Upper Process (Traditional Approach):

  • Data → Human Rule Creation: Based on binary data, humans design clear logical rules
  • Mathematical Operations (√(x+y)): Precise and deterministic calculations
  • “BASE”: Foundation system with 100% certainty
  • Human-created rules guarantee complete accuracy (100%) but operate only within limited scope

Lower Process (AI-Based Approach):

  • Large-Scale Data Processing: Capable of handling vastly more extensive and complex data than traditional methods
  • Neural Network Pattern Learning: Discovers complex patterns and relationships that are difficult for humans to explicitly define
  • Adaptive Learning: The circular arrow (⚡) represents continuous improvement and adaptability to new situations
  • Advantages of Probabilistic Reasoning: Flexibility to handle uncertain and complex real-world problems

Key Advantages:

  • Traditional Approach: Clear and predictable but limited for complex real-world problems
  • AI Approach: While probabilistic, provides scalability and adaptability to solve complex problems that are difficult for humans to design solutions for. Though imperfect, it offers practical solutions that can respond to diverse and unpredictable real-world situations

AI may not be perfect, but it opens up innovative possibilities in areas that are difficult to approach with traditional methods, serving as a powerful tool for tackling previously intractable problems.

With Claude

Influence

From Claude with some prompting
This image illustrates the process of achieving an exponential expectation or goal for a particular endeavor.

  1. The “Expectation” graph shows an exponential rise, representing the ambitious target or desired outcome for the endeavor.
  2. To reach this expectation, one must first go through the “Basic” stage of steadily growing and developing individually, step by step.
  3. Then, in the “with people” stage, one needs to expand their influence by collaborating and interacting with others, leveraging interpersonal relationships.
  4. The “To-Do” graph depicts the accumulation of basic tasks and responsibilities in the individual growth stage.
  5. Ultimately, the exponential expectation can only be achieved through a combination of consistent personal growth at the basic level, coupled with an expansion of influence via relationships and interactions with others.

In summary, the image emphasizes that to attain ambitious, exponential goals, consistent individual effort must be complemented by leveraging a broad network of interpersonal connections to amplify one’s influence and impact.