I believe it will be possible.Will it be a good idea? I don't know. In science
fiction movies AIs often start to kill their creators. "Ex machina" for example
is the story of such an AI developed by the CEO of a large corporation
https://youtu.be/sNExF5WYMaAThen there is the possibility of massive
unemployment because AI takes away the good, creative jobs. Claude's
capabilities in programming are impressive. Stackoverflow is already in a
crisis because developers ask ChatGPT, Gemini or Claude instead. More and more
employees will lose their jobs. It doesn't look
good.https://www.cnn.com/2025/06/17/business/amazon-ai-human-employees-jobs-J.
-------- Original message --------From: Prof David West <profw...@fastmail.fm>
Date: 6/20/25 7:15 PM (GMT+01:00) To: friam@redfish.com Subject: [FRIAM] AI
Marcus made a comment recently about constructing an AI plus robotic body that
provided the AI with sensory inputs comparable to a human being. It made me
wonder about feasibility of such an idea.The average human body has about 100
billion nerve endings generating electrical impulsesThe average human (sex,
weight, height sensitive) has about 30 trillion cells emitting ultra-weak
biophotons; increasingly shown to play a role in inter-cellular communicationIt
is extremely difficult to compare something like FLOPS for the brain, but best
estimates suggest an average of 43 teraFLOPS, and up to 430 teraFLOPS for peak
situations. Computers are capable of 1.1 exaFLOPS. But the brain uses 20 watts
of power and the computer megawatts.Taking into account synaptic delay and
refactory delay, each nerve ending could send a signal to the brain, or the
brain could ‘process’ those signals at a rate between 10 Hz (cortex) to 1,000
Hz elsewhere. Also assume that the biophotons work mostly locally and maybe 1
percent actually end up triggering something akin to a nerve signal so, until
we know more, it is unlikely that more than 30,000 to 300,000 additional
signals reach the brain – less than noise, given what we know now. But that
might change significantly in the future, especially as we learn more about
quantum effects in the brain in general.The brain could receive 5 trillion
discrete signals per second, but “pre-processing” reduces that to between 50
(average) and 500 million (peak) signals per second..02-.03 percent of those
signals are symbolic- originating in a phoneme, lexeme, word, number.Between
.22 and 12.3 of the “non-symbolic” signals process by the brain have a
mediating effect on symbolic processing, in the human brain. Some of this can
be simulated by an AI. Take sarcasm as an example: humans use a lot of
non-symbolic signals to detect sarcasm with a success rate of about 95%. AI’s
must rely on context, on explicit labeling of training material, and, if
available sound or images that can be analyzed. With a success rate of about
80%.Currently, an AI can simulate/emulate/equate to the roughly .02-.03 percent
of the signal processing done by the human brain, i.e., that directly related
to symbolic inputs. It can also deal with, roughly 80% (based on the sarcasm
example) of the mediating non-symbolic signals (between .22 and 12.3 percent of
signals processed by the brain.These numbers suggest, to me, that an AI is
capable of simulating/emulating/equating-to about 1 to 15% of human brain
signal processing. Of course, the human brain has all kinds of help elsewhere
in the body, synthesizing, attenuating (reducing), and “pre-processing”
signals. An AI has none of that help.So, it seems to me, that an AI must
necessarily be a true idiot-savant for language manipulation and pattern
recognition (image, sound).Only if we define human intelligence as nothing more
than human abilities with language and visual/auditory pattern recognition can
we say that artificial intelligence meets or exceeds (only in terms of speed)
human intelligence.I used AI to generate all the numbers in the above.davew.-
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