AI recognition is vital for processing big data volumes and it’s impartiality.
Earth surveillance, what do we use satellites for (Skyrora:
https://www.skyrora.com/blog/satellites) is beneficial in this case. AI is making cool judgement of patterns and makes data efficient postprocessing.
Usual human conversation flow is everybody talking to themselves, not even carefully listening to the questions. This brings humans more usual to a monologue than to a dialogue, that’s why AI collected and learned data might be noisy.
The effect of ‘thinking the same’ and understanding with a few words between humans without any logic. GPT uses logic, that’s why it will answer ‘two eyes’, when you ask it ‘how many eyes I have on my left foot’.
Emotions and past experience. Our visions and morality come from personal experience, which are then transferred and stored in particular neurons (engrams). Information is stored in engram neuron cells.
An engram is a trace left by an irritant. Taking a certain neurons’ processes, a repetitive signal (sound, smell, a certain environment, etc.) provokes some physical and biochemical changes in them.
When the stimulus is repeated, the ‘trace’ is activated. The cells in which it is present will recall the entire memory from the memory. In other words, engram neurons are responsible for accessing the recorded information, and in order for them to work, a key signal must act on them.
Human brain works from thousands of years of memory, that’s why our recognition and comprehension is faster. We are expecting to see a dog from the bottom level cells and send signals upward, and then from upward to downward the recognition is refined and either confirmed or not.
