Human data

This updated image titled “Data?” presents a deeper philosophical perspective on data and AI.

Core Concept:

Human Perception is Limited

  • Compared to the infinite complexity of the real world, the scope that humans can perceive and define is constrained
  • The gray area labeled “Human perception is limited” visualizes this boundary of recognition

Two Dimensions of AI Application:

  1. Deterministic Data
    • Data domains that humans have already defined and structured
    • Contains clear rules and patterns that AI can process in predictable ways
    • Represents traditional AI problem-solving approaches
  2. Non-deterministic Data
    • Data from domains that humans haven’t fully defined
    • Raw data from the real world with high uncertainty and complexity
    • Areas where AI must discover and utilize patterns without prior human definitions

Key Insight: This diagram illustrates that AI’s true potential extends beyond simply solving pre-defined human problems. While AI can serve as a tool that opens new possibilities by transcending human cognitive boundaries and discovering complex patterns from the real world that we haven’t yet defined or understood, there remains a crucial human element in this process. Even as AI ventures into unexplored territories of reality beyond human-defined problem spaces, humans still play an essential role in determining how to interpret, validate, and responsibly apply these AI-discovered insights. The diagram suggests a collaborative relationship where AI expands our perceptual capabilities, but human judgment and decision-making remain fundamental in guiding how these expanded possibilities are understood and utilized.

With Claude

Deterministic Scheduling

With Claude
Definition: Deterministic Scheduling is a real-time systems approach that ensures tasks are completed within predictable and predefined timeframes.

Key Components:

  1. Time Predictability
  • Tasks are guaranteed to start and finish at defined times
  1. Task Deadlines
  • Hard Real-Time: Missing a deadline leads to system failure
  • Soft Real-Time: Missing a deadline causes performance degradation but not failure
  1. Priority Scheduling
  • Tasks are prioritized based on their criticality
  • High-priority tasks are executed first
  1. Resource Allocation
  • Efficient management of resources like CPU and memory to avoid conflicts
  • Uses Rate-Monotonic Scheduling (RMS) and Earliest Deadline First (EDF)

Advantages (Pros):

  • Guarantees timing constraints for tasks
  • Improves reliability and safety of systems
  • Optimizes task prioritization and resources

Disadvantages (Cons):

  • Complex to implement and manage
  • Priority inversion can occur in some cases
  • Limited flexibility; tasks must be predefined

The system is particularly important in real-time applications where timing and predictability are crucial for system operation. It provides a structured approach to managing tasks while ensuring they meet their specified time constraints and resource requirements.