Level-of-Detail / Meaning Coordinates
Meaning Coordinates are not a programming language and not natural language. They are an intermediate representation of computable meaning — the detailed intent, constraints, and operational requirements that define what a user wants, expressed in a form machines can interpret and optimize.
Value ranges, precision, behaviors, execution limits, and environmental requirements — all expressed in a form machines can reason about, not just translate.
Numeric meaning varies by domain
Simple numeric case
- Value representation
- Upper and lower bounds
- Precision requirements
Domain-specific constraints
- Sports scores — minimum 0, no upper bound
- Chemistry values — extreme precision requirements
- Financial values — rounding plus concurrency rules
Representation selection
- Rational vs irrational
- 32 / 64 / 128-bit integers
- IEEE float vs fixed precision
Behavioral meaning
A simple request like "create a list of names" may resolve to basic structures — while more specific requirements could produce:
- 48-bit cuckoo hash table for UTF-8 strings
- Unicode normalized
- Han charset support
- Optimized lookup behavior
The tighter the specification, the more constrained the implementation. The looser the specification, the more optimization freedom exists.
Loose vs tight meaning
Loosely specified
- System selects optimal algorithms
- Chip-specific tuning (CPU / GPU / ASIC)
- Storage model optimization
- Compression and memory layout tuning
Tightly specified
- Constraints strictly enforced
- Behavior fully traceable
- Execution fully explainable
- Optimization occurs within bounds
Engineering automation
Essence automates complex engineering tradeoffs:
- Algorithm selection
- Data structure compatibility
- Pipeline impact analysis
- Performance permutations
This reduces friction and experimentation cost — automating tasks engineers already perform manually, without changing the rigor of the analysis.
InfoSigns · semantic asset references
User expressions are parsed into semantic references called InfoSigns, which identify:
- Code or data assets
- Version lineage
- Fork history
- Permitted operations
Embedded security · Essence-Guards
Security is embedded with assets — not bolted on later:
decrypt → access → modify → store → compress → encrypt
Different assets invoke different security depth:
- Live webcam pixels → minimal persistence
- Personal data → full audit plus permission controls
Context vs execution logic
Words and UI selections are stored only as user context — to improve interpretation and recall. Execution does not run on your words. It runs on the confirmed meaning coordinates behind them.
"Increase the account by the deposit minus the standard fee"
→ On Event: Store X = X + Y − Z
With embedded rules for: ownership · concurrency · formats · execution targets.
Meaning → execution mapping
- Generate live instructions
- Link existing machine snippets
- Bind to Aptivs
- Attach prolog / epilog logic
Representable meanings can be rendered at any level — from highly summarized to deeply technical — depending on user interest. An operator and a compliance auditor can view the same meaning at the abstraction depth appropriate to their question.
Meaning Coordinates enable systems to fluidly remap intent into optimized execution paths — balancing performance, efficiency, traceability, and governance. The tighter the specification, the more traceable the execution. The looser the specification, the more the system can optimize — within explicit bounds you retain.