Generally speaking, intelligence can be described as the ability to learn, adapt, and solve problems.

https://chat.openai.com/chat/89bfb1e6-bfc2-42bb-89d4-3663fa8552e7

Some commonly considered aspects of intelligence include:

1. Learning: The capacity to acquire knowledge or skills through experience, study, or instruction.
2. Problem-solving: The ability to identify, analyze, and resolve issues or obstacles effectively.
3. Adaptability: The ability to adjust to new environments, situations, or challenges.
4. Memory: The capacity to store and retrieve information over time.
5. Communication: The ability to effectively convey and receive information, thoughts, or feelings.
6. Reasoning: The process of thinking logically and critically to arrive at conclusions or solutions.

Intelligence Quotient

Dig deeer

1. https://docs.google.com/document/d/1ItRqrpgQHJ05rQx0zc26t1_NgpUcw3znwTWpXxqH8uI/edit?tab=t.0#heading=h.qslpqdtnxw1r
   1. Intelligence, data efficiency, generalization ability, and learning ability are all the same thing.
   2. fluid intelligence and crystallized intelligence
   3. generalization is the result of squeezing every bit of information out of your datapoints, understanding all correlations and causations, and connecting all the dots
   4. I think embodiment and multimodality are best thought as additional surface area for intelligence, not the bottleneck to intelligence itself.

Referenced in:

• neubitat
• visual-intelligence