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.