The "transhuman vision"

… (out of context stuff dumped here, move along)

• Observation processing – from sensory or memory, coming up with questions and experiments, thought experiments too (linked to transfer) – segmentation, movement, detection and classification, detecting patterns/faces… "Is this guy an older version of this guy? People tend to ask that question if he /is/… train to understand things like this. But maybe not always – e.g. "Are you serious?" … should be able to distinguish between these cases… "bounded" guess meaning from word… but if fails, then no. Or if it says "misleading semantics"
• Original creations – imagination or to peripherals. Simple things like movement to more complicated things: random thoughts, artworks, ideas, lines of thought, mathematical proofs, … … confirmation bias except with statistical data we can avoid that
• Predictions, coming up with explanations… subjective probability
• Decision-making – using predictions. Or using reasoning. Can be based on random choice. Can be trained based on previous outcomes, advice of others, etc. Can evaluate that advice.
• Reasoning
• In-built loss functions – emotion (pain, greed, social approval), instinct, co-operation, etc. Controlling instincts.
• Learning – from reading, introspection, whatever… detecting emphasis, reprogramming brain instincts
• Knowing what to recall: 12*11 = ? (132)
• Making connections/transfer of learning extremely important – examples: symmetries, things fall, being big or small, edges and stuff. You don't need to read a thousand computer programs before you make your first one (list steps involved that are transfered over). You don't need to read a humongous number of mathematical proofs before you write your first one. You don't need feedback on a a million mathematical conjectures you generate before you can tell which ones are important. You don't even need to see a thousand examples of a single character to tell what it is or to reproduce it. On a higher level, making connections between ideas, mathematical abstraction.
• Narratives, causative structure, mental classification, clocks and models, and other actually "artificial" things

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