Category: Lechuck

Nice Action

Posted on by lechuck park

This “Nice Action” diagram illustrates how decision-making processes work similarly for both humans and AI:

  1. Dual Structure of All Choices: Every decision inherently consists of elements of certainty and uncertainty.
  2. Certainty Expansion Strategy: The first step “① Expansion ‘Certain’ First” demonstrates the strategy of maximizing the use of already certain information. This establishes a foundation for decision-making based on known facts.
  3. Uncertainty Upgrade: The second step “② Upgrade Possibility to near 100%” represents the process of increasing the probability of uncertain elements to bring them as close as possible to certainty. While complete certainty cannot be achieved for all elements, obtaining sufficiently high probability enhances the reliability of decisions.
  4. Similarity to Machine Learning and AI: This decision-making model is remarkably similar to how modern machine learning and AI function. AI systems also operate based on certain data (learned patterns) and use probabilistic approaches for uncertain elements to derive optimal decisions.
  5. Transition to Action: Once sufficient certainty is established, the final “ACTION” step can be taken to implement the decision.

This diagram provides insight into how human intuitive decision-making and AI’s algorithmic approach fundamentally follow the same principle—maximizing certainty while managing uncertainty to an acceptable level. The “AI, too” notation explicitly emphasizes this similarity.

With Claude

Make Better Questions

Posted on by lechuck park

This diagram titled “Make Better Questions” illustrates a methodology for effective questioning. The key concepts are:

  1. Continuous Skepticism and Updates: Personal beliefs should be continuously updated following the principle “Always be suspicious.” This suggests that our knowledge and understanding should not remain static but should evolve constantly.
  2. Fluidity of Collective Truth: “Humans Believe (Truth)” represents collectively accepted truths, which are also subject to change and interact with personal beliefs through “Nice Update,” creating a reciprocal influence.
  3. Immutable Foundations: Some basic principles (“Immutable Rule”) provide an unchanging foundation, but flexible thinking should be developed based on these foundations.
  4. Starting with Fundamentals: “Start with fundamentals” emphasizes the importance of beginning with basic principles when approaching complex questions or problems.
  5. Collaboration with AI: By utilizing this thinking framework in conjunction with AI, we can create better questions and gain richer insights.

This diagram ultimately suggests a method for optimizing interactions with AI through constant skepticism and adherence to fundamentals while maintaining flexible thinking. It emphasizes the importance of not settling for fixed beliefs but continuously learning and evolving.

With Claude

Personal with AI

Posted on by lechuck park

This diagram illustrates a “Personal Agent” system architecture that shows how everyday life is digitized to create an AI-based personal assistant:

Left side: The user’s daily activities (coffee, computer, exercise, sleep) are represented, which serve as the source for digitization.

Center-left: Various sensors (visual, auditory, tactile, olfactory, gustatory) capture the user’s daily activities and convert them through the “Digitization” process.

Center: The “Current State (Prompting)” component stores the digitized current state data, which is provided as prompting information to the AI agent.

Upper right (pink area): Two key processes take place:

  1. “Learning”: Processing user data from an ML/LLM perspective
  2. “Logging”: Continuously collecting data to update the vector database

This section runs on a “Personal Server or Cloud,” preferably using a personalized GPU server like NVIDIA DGX Spark, or alternatively in a cloud environment.

Lower right: In the “On-Device Works” area, the “Inference” process occurs. Based on current state data, the AI agent infers guidance needed for the user, and this process is handled directly on the user’s personal device.

Center bottom: The cute robot icon represents the AI agent, which provides personalized guidance to the user through the “Agent Guide” component.

Overall, this system has a cyclical structure that digitizes the user’s daily life, learns from that data to continuously update a personalized vector database, and uses the current state as a basis for the AI agent to provide customized guidance through an inference process that runs on-device.

with Claude