According to Hoyle ;-) Claude Balls still goes low on teaching.
The #1 AI can't teach basic stuff like reading
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The #1 AI can't teach basic stuff like reading
Erik Hoel
Claude Sonnet 3.5 fails miserably at preschool lesson planning
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On Wednesday, July 3, 2024 at 01:38:29 PM EDT, 'spudboy...@aol.com' via
Everything List <everything-list@googlegroups.com> wrote:
Somewhat related: New bionic legs plug directly into a patient's brain
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New bionic legs plug directly into a patient's brain
Joshua Hawkins
A newly designed bionic leg can be connected directly to the patient's nervous
system, allowing more natural con...
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New bionic legs plug directly into a patient's brain
Joshua Hawkins
A newly designed bionic leg can be connected directly to the patient's nervous
system, allowing more natural con...
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Kurzweil's view, The more we link, the less we stink, as a species....
On Wednesday, July 3, 2024 at 01:04:02 PM EDT, John Clark
<johnkcl...@gmail.com> wrote:
On Tue, Jul 2, 2024 at 6:37 PM Jason Resch <jasonre...@gmail.com> wrote:
> Some assumed we would have to upload a brain to reverse engineer its
>mechanisms, but it now seems the techniques of machine learning will reproduce
>these algorithms well before we apply the resources necessary to scan a human
>brain at a synaptic resolution.
I agree.
> The human brain's computational capacity is estimated to be around the exaop
>range ( (assuming ~10^15 synapses firing at an upper bound of 1000 times per
>second). So I agree with your point we have the computation necessary,
On average a neuron in the brain fires closer to once a second than 1000 times
a second. And I actually think Kurzweil's estimate is conservative because he
did not take into consideration the fact that neurons are far less reliable
than transistors, if just one neuron misfire could destroy an entire train of
thought then intelligent action would be impossible, so the brain runs many
identical calculations in order to drown out the noise caused by the misfire.
An electronic brain would not need to do that, or at least not need to do it as
much. Ralph Merkel has a design for a purely mechanical nanocomputer such that
you could fit 8*10^19 logic gates into the same volume as the human brain,
each one flipping about a billion times a second. Something like that could
easily emulate every human being on the planet.
Mechanical Computing Systems Using Only Links and Rotary Joints
> There is depth of thinking, speed of thinking, and breath of knowledge. I
>think current language models are on the precipice (if not past it) of super
>intelligence on terms of speed and breadth of knowledge. But it seems to me
>that AI is still behind humans in terms of depth of thinking (e.g. how deeply
>they can go in terms of following a sequence of logical inferences).
I think computers have been able to pass the Turing Test for about the last 18
months, but Ray Kurzweil says that won't happen until 2029, although he
wouldn't be very surprised if it happened a year or two earlier. When I look
into the details of what he means by "passing the Turing Test" it's that by
2029 a computer will be much better than even the best human being at
EVERYTHING. To Kurzweil, AI and even Artificial General Intelligence is old
hat, he's talking about Artificial Superintelligence.
John K Clark See what's on my new list at Extropolissia
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