A major question in evaluating human intelligence is why are humans more intelligent than animals.
Several animals have almost comparable environmental reactions to humans across experiences. But humans are, in general, smarter. Aside from language, humans are advanced in thinking, imagination, creativity, and so forth. How so?
It is generally known that a problem with a part of the brain may lead to certain problems in the body. It has been proposed that the brain also has language areas, so to speak, or areas responsible for language.
This could then mean that even if humans and certain animals have similarities in brain anatomy, there are a lot of things about the human brain, with respect to intelligence, that are different.
What is responsible for human intelligence? How is this different from general consciousness? How do humans have what animals do not have? Would humans be able to compete with AI (artificial intelligence)?
Nature
It can be assumed that nature was the dominant intelligence before humans conquered nature. The intelligence of nature is spread across the body, the oceans, the atmosphere, on ground, and so forth. Humans explored, found many secrets, and surpassed.
Humans then amassed this intelligence in records or books. Then, digital, as well.
This became a weakness of human intelligence, where nature was diversified, so to speak.
AI
Records are now training data for artificial intelligence, which has become super excellent and would continue to be, with the intense expansion in compute and architecture of artificial intelligence.
AI, like human intelligence, is going to make it obvious that data can be a dessert, not the main course. The components and pathways of intelligence are exceptional enough to make excellent use of incoming data. This makes the difference in what a human makes of the environment, any environment, and what an animal makes of it.
Human intelligence uses the same components as human consciousness, such that, while intelligence is at work, consciousness, the overall also continues. This could make intelligence sometimes at a disadvantage.
It could make human intelligence simply just imitate, such that it does not improve processes. It may try to do things differently towards the same results, but intelligence may be ordinary, because of the importance with consciousness.
AI does not have consciousness at the level of humans. Artificial intelligence is based with intelligence. It has access to the sources of all records of human intelligence depths. It may seem to have just the part of language and just the part, so to speak, of intelligence, which is enough for excellence. It does not have functional competition from emotions, feelings, or regulations of internal senses. Its intelligence is also information broad.
In human society, information could make the difference. For artificial intelligence, this is now its base. AI is often downplayed because neuroscience has not established a major theory of human intelligence.
How Does Human Intelligence Work?
Human intelligence can be said to be specific interactional qualities of electrical and chemical signals in some clusters of neurons. This means that the usual kind of interactions for several other conscious functions are different from those of intelligence, including for language. This is what can be theorized to make humans more intelligent than other organisms.
However, since the basis of the components are similar, with electrical and chemical signals, other conscious functions, like pain, or emotions, may take some from attention.
LLMs
AI consciousness research is AI evaluation and benchmark measure, which is then artificial intelligence safety and alignment research, applicable to large language models [LLMs]. LLMs may not need the model of the external world to surpass humans.
The only viable model to know how artificial intelligence is improving is to explore electrical and chemical signals in sets, in clusters of neurons, conceptually.
This article was written for WHN by David Stephen, who currently does research in conceptual brain science with a focus on the electrical and chemical signals for how they mechanize the human mind, with implications for mental health, disorders, neurotechnology, consciousness, learning, artificial intelligence, and nurture. He was a visiting scholar in medical entomology at the University of Illinois at Urbana-Champaign, IL. He did computer vision research at Rovira i Virgili University, Tarragona.
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