By David Stephen

How much does an individual know about something and how many problems about that thing can the individual solve? It is possible that the more someone knows about something the likelier it is to solve problems around that thing. This indicates that intelligence means how to use what is known. Or, if something is in memory, or in a location in the brain, how it is used [or how relays proceed] means intelligence.

How much can an individual know about everything and how much of every problem can an individual solve? There are several experiences in life where individuals know what to do, solving low-medium-complex problems. There are, however, several cases where knowing does not guarantee possibilities to solve problems.

Brain Science: Would Human Intelligence Survive AI?

Why is this the case? The question of human intelligence is probably a colossus of this era. Why do individuals know less about everything? Or, why can't humans know everything about everything knowable or discovered? Also, why can't humans solve all encountered or desired problems?

The central place to seek answers around these questions is the brain. How does human memory work [say] to know? How does human intelligence work [say] to solve? The usefulness, capabilities, threats and unknowns about artificial intelligence are directly at competition with human intelligence. If human [natural] intelligence is not explored, to prepare readiness, AI may surpass the human race. Humans already have intelligence, so seeking ways to boost that intelligence may benefit most people, because artificial intelligence may not be for the benefit of all humans.

AI

There are benchmarks that determine how much humans know to result in qualifications for work. They allow individuals to provide established answers to problems. All tasks - requiring physical efforts or instructions - are done by the brain. Most roles are to solve expected [or near familiar] problems with what is already known. Sometimes, insights emerge to solve unknown problems. However, the [economic] value on intelligence could be based what is known, the standard, supply, advance, location, era and much else.

There are several tasks that humans often need machines to do because of the inability to do them due to energy, reach, form and so forth. Machines complement, but knowing and intelligence had always rested with the human brain.

Before transformer AI, digital systems were mostly similar to machines. They assisted human memory a lot, but the intelligence or the ability to use memory in dynamic ways was humans'. Now, AI has the ability to solve low-medium-complex tasks at the standard of several qualified humans. AI can solve the important part of many problems. It does not need to be in the world or have a world model to do so. It is also AI against humans, not AI against an 'IQ' level.

Large language models [LLMs] have access to most things knowable or discovered. LLMs can solve problems in fields where the standard answers are enough. LLMs can instruct and guide. The possibility that - if more is known about something - the more problems can be solved, is true for AI. Although groundbreaking discoveries elude it for now, it may not be far off given its access to knowledge.

When AI knows, in most cases, it is exact. When AI answers, it does so in different ways sometimes with the ability to connect several unconnected patterns within instances. AI has already conquered human knowledge [to a fair percentage]. It may not have conquered intelligence because humans are still more creative, but it will be imprudent to rule out AI for that possibility.

Human Memory

Why is human memory not as exact, in several cases, when recalling things? Why is human memory not as quick in encountering and immediate storage? Why does human memory forget? Why does human memory seem limited in knowing everything? Why does human memory find many things difficult? Why does human memory vary in capability?

While ...