Notational intelligence | thesephist.com

The Nugget

  • Inventing better notations can significantly enhance our ability to understand and manipulate complex ideas, ultimately increasing our effective intelligence beyond what automated tools can offer.

Make it stick

  • ✍️ Writing crystallizes thoughts: When you write, you transform fleeting thoughts into durable, concrete marks you can manipulate.
  • πŸ’‘ Good notation embodies abstraction: It lets us handle abstract ideas with the same ease as physical objects.
  • πŸ“ˆ Mathematical notation's power: Enables precise representation and manipulation of infinite and complex quantities.
  • 🧠 Think in notations: We use notations not just as tools but as an intrinsic part of our thought process.

Key insights

Notation's Impact on Human Thought

  • Writing systems are the most influential notations, transforming ephemeral spoken ideas into enduring, concrete forms.
  • Mathematical notation's rigidity and standardization allow for precise and expansive manipulation of quantitative ideas.
  • Music and dance notations provide frameworks for complex and precise representation of performative arts, though video and digital media are now enhancing these notations.

Characteristics of Good Notation

  • Unambiguity: Symbols must have a unique interpretation within their domain.
  • Expressiveness: The notation should comprehensively describe all necessary ideas within its domain.
  • Suggestiveness: Similar concepts should have similar notational representations.
  • Natural transformation: The operations within the notation should have a visual or conceptual ease that mirrors the actual manipulation of the ideas.

Computable Notation and Programming Languages

  • Computable notation like programming languages manipulates not only numbers but also abstract symbols, enabling mechanical execution of complex tasks.
  • Wolfram Language exemplifies dynamic and media-inclusive notation, showing potential for future interactive and versatile notations.

Defining and Interpreting Intelligence

  • Intelligence as run-time adaptation: Reaction and adaptation to real-time environments offer evolutionary advantages.
  • Generalization power: The core of intelligence, allowing broad application of abstract patterns to novel problems.
  • Intelligence as data compression: Efficiently retaining useful information while discarding irrelevant details and adapting to future uncertainties.

Future Directions in Notational Intelligence

  • Dynamic notation: Leveraging software interactivity to create more manipulable, immersive representations of ideas.
  • Design guidelines: Improving representations of complex and abstract concepts could lead to new discoveries and problem-solving frameworks.
  • Combining interactivity with notation: Creating tools for direct manipulation of concepts to facilitate intuitive understanding and experimentation.

Key quotes

  • "Writing was not just a way to record what someone said; it could help you decide what you would say before you said it."
  • "We think in languages; we think with notations."
  • "Better notation can enable us to imagine and discover new ideas entirely."
  • "Good notation gives us the ability to work with abstract concepts using the same cognitive muscles we use to work with physical objects."
  • "When humans and AI models learn, they are both fundamentally asking, I can’t remember everything – what can I efficiently forget, so I’m best prepared for the future?"
This summary contains AI-generated information and may be misleading or incorrect.