Just use chat gpt of course…
Here’s an improved and structured list of criteria for general intelligence (GI), tailored for human-level understanding and considering the capabilities and limitations of current AI technology:
- Learning and Adaptation
Human-Level Expectation: Ability to learn new concepts, skills, and tasks across various domains without specific pre-programming. Adapt to new and unfamiliar situations effectively.
Current AI: Specialized machine learning models excel at task-specific learning but struggle with transfer learning across vastly different domains.
- Reasoning and Problem-Solving
Human-Level Expectation: Logical reasoning, abstract thought, and the ability to solve novel and complex problems with limited information.
Current AI: Good at structured problem-solving within predefined rules (e.g., chess, Go) but struggles with open-ended, ambiguous, or poorly defined problems.
- Perception and Understanding
Human-Level Expectation: Capability to perceive, interpret, and understand diverse sensory inputs (visual, auditory, textual) and contextualize them meaningfully.
Current AI: Strong in narrow perception tasks (e.g., image recognition, speech-to-text) but lacks comprehensive multimodal understanding and nuanced contextual awareness.
- Creativity and Innovation
Human-Level Expectation: Generate novel ideas, concepts, or solutions that are original and valuable. Combine unrelated information creatively.
Current AI: Can mimic creativity (e.g., generating art, writing) within boundaries of existing data but lacks the genuine originality seen in humans.
- Social and Emotional Intelligence
Human-Level Expectation: Understand, interpret, and respond appropriately to human emotions, behaviors, and social cues. Exhibit empathy and build relationships.
Current AI: Limited to pre-programmed emotional recognition and response patterns. Lacks authentic empathy or true understanding of social dynamics.
- Memory and Knowledge Retention
Human-Level Expectation: Retain, organize, and recall past experiences or knowledge to inform decisions and behavior in real-time.
Current AI: Good at storing and retrieving vast amounts of data but lacks long-term experiential memory and personalized understanding.
- Generalization and Transfer Learning
Human-Level Expectation: Apply knowledge from one domain to solve problems in another, even when contexts differ.
Current AI: Limited generalization; successes in transfer learning are domain-specific and far from human-level adaptability.
- Goal-Oriented Behavior
Human-Level Expectation: Define, pursue, and achieve diverse goals autonomously, balancing conflicting objectives when needed.
Current AI: Works well with clearly defined goals but struggles with balancing competing priorities or autonomously setting meaningful objectives.
- Self-Awareness and Meta-Cognition
Human-Level Expectation: Understand one’s own state, capabilities, and limitations. Reflect on and regulate one’s thought processes.
Current AI: Lacks true self-awareness or understanding of its limitations; it operates within predefined parameters without introspection.
- Ethical and Moral Reasoning
Human-Level Expectation: Make decisions that consider ethical principles, cultural values, and societal norms. Adapt morality contextually and appropriately.
Current AI: Ethics are externally imposed (via programming or guidelines). AI lacks innate moral reasoning or the ability to adapt ethically across contexts.
- Physical Interaction and Embodiment
Human-Level Expectation: Navigate and interact with the physical world effectively, using tools and adapting to physical challenges.
Current AI: Robotics and embodied AI are improving but still far behind humans in physical dexterity, adaptability, and decision-making in real-world environments.
- Intuition and “Common Sense”
Human-Level Expectation: Possess an innate understanding of everyday situations, physical laws, and social norms, even when unstated.
Current AI: Limited to explicitly trained knowledge; often fails in tasks requiring common-sense reasoning or implicit understanding.
- Persistence and Goal Persistence
Human-Level Expectation: Continue efforts toward a goal despite challenges, setbacks, or changing circumstances.
Current AI: Performs tasks based on pre-set parameters but lacks intrinsic motivation or the ability to “persevere” without external instructions.
- Ethical Use of AI Technology
Acknowledge that the development of general intelligence must align with ethical principles, ensuring safety, fairness, and accountability.
This list can serve as a roadmap to evaluate progress toward general intelligence, highlighting where current AI excels and where significant gaps remain compared to human cognition.
You mean paid for a spot on the board and sue to get his name as a founding member/ inventor