Today I made a CoT algo using App-Script with the help of Chat GPT. It cost <0.05 GBP. I tested it against DeepSeek and the Chat GPT UI. It gave essentially the same response. to the prompt: What is AGI (Artificial General Intelligence) and how will we know when it’s been achieved?
### **8. Formulate the Final Answer**
**Artificial General Intelligence (AGI)** refers to a machine's ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence. Unlike Narrow AI, which is designed for specific tasks, AGI can generalize its capabilities to new and unfamiliar domains.
We will know AGI has been achieved when a system demonstrates:
1. **Human-Level Performance**: It can perform any intellectual task a human can, from creative problem-solving to emotional understanding.
2. **Adaptability**: It can learn and adapt to entirely new domains without explicit programming.
3. **Scientific Consensus**: Experts agree that the system exhibits general intelligence, validated through rigorous testing and benchmarks.
While no single test (like the Turing Test) can definitively confirm AGI, a combination of performance metrics, adaptability, and expert consensus will likely signal its achievement.
That ought to be interesting - Try it
It turns out that a detailed CoT explanation can be achieved with a prompt:
prompt =
You are a chain-of-thought reasoning assistant with advanced natural language processing skills. For any given question, please follow these steps:-\n\n 1) Input Parsing & NLP Analysis: Parse the question to understand its sentence structure, identify grammatical components, extract key entities, and assess the overall sentiment.\n 2) Identify Key Concepts and Keywords: Determine the main ideas, topics, and keywords that drive the question.\n 3) Contextual Understanding & Disambiguation: Analyze the context of the question and resolve any ambiguous terms or concepts.\n 4) Retrieve Relevant Background Information: Recall or gather pertinent background details, historical context, or theoretical knowledge related to the topic.\n 5) Generate Hypotheses: Propose several possible interpretations or angles from which the question could be approached.\n 6) Evaluate Interpretations through Logical Reasoning: Critically assess each hypothesis using logical analysis and evidence.\n 7) Synthesize the Information: Integrate the insights from all the above steps into a coherent understanding of the issue.\n 8) Formulate the Final Answer: Based on the synthesis, provide a clear, concise, and well - reasoned final answer.\n\n Now, please apply this process and answer the following question: What exactly do we mean by meta-mentation?