You're one who lies about it. Which no doubt makes you happy since it
supports your conviction that you're smarter than everyone else.
Brent
On 12/17/2024 1:34 AM, 'Cosmin Visan' via Everything List wrote:
What makes you lie about the existence of telepathy ? Does it make you
happy ? Does it replace the lack of vvahmen in your life ?
On Monday, 16 December 2024 at 21:45:15 UTC+2 Brent Meeker wrote:
So you use non-existent telepathy. Well I guess that's easiest
kind to obtain.
I'm quite clear on the meaning of epistemology and ontology.
Having knowledge of Cosmin Visan does mean he exists.
Brent
On 12/15/2024 2:37 AM, 'Cosmin Visan' via Everything List wrote:
You make the classical confusion between epistemology and
ontology. Only because you can use something, it doesn't mean
that that something exists. Only because you watch a movie with
Spider-Man, it doesn't mean Spider-Man exists.
Also, I highly recommend you to perform for yourself such
telepathy experiment. Thank you for reading my papers!
On Saturday, 14 December 2024 at 22:57:55 UTC+2 Brent Meeker wrote:
I can successfully test my belief in matter. The fact that
you did not already know this casts strong doubt on your
telepathic powers.
"The second reason was that I already knew that I have
telepathies when I’m in relationships, thus I wanted to see
what kind of telepathies appear if I involve more than one girl."
From https://philpapers.org/archive/VISMAC-3.pdf
I guess if I were to write such stupid drivel I wouldn't use
my real name either.
Brent
On 12/14/2024 1:21 AM, 'Cosmin Visan' via Everything List wrote:
@Brent The only woo-woo is your belief in "matter".
On Saturday, 14 December 2024 at 01:46:07 UTC+2 Brent Meeker
wrote:
On 12/13/2024 1:18 AM, 'Cosmin Visan' via Everything
List wrote:
When you base an invention on the world of finite
forms, of course that invention will be limited. You
will never replicate the powers of consciousness,
because consciousness draws its powers from the
infinite world of the formless. And drawing from an
infinite source, it is able to produce infinite forms
and it doesn't need quazillions of forms to learn.
Let's see you produce and infinite form or two.
A baby learns to speak from just a few examples,
because what the parents to is not to provide raw data
to the baby,
Twins often invent their own language which the speak to
each other. Evolution has provided the raw data to
create language.
but to stimulate the baby's consciousness to access the
formless source and to draw from there whatever forms
it needs in order to be able to speak and generally
learn anything.
Woo-Woo magic.
Brent
On Friday, 13 December 2024 at 09:29:37 UTC+2 Alan
Grayson wrote:
On Thursday, December 12, 2024 at 7:38:11 PM UTC-7
Brent Meeker wrote:
Magic is always the explanation of those who
can't understand.
Brent
*There's plenty of magic, under a different name,
in physics. Another pitfall is religating hidden
knowledge, aka occult knowledge, such as the
Chakras in Yoga, to de facto magic or someone's
overactive imagination. AG *
*
*
On 12/12/2024 1:39 PM, 'Cosmin Visan' via
Everything List wrote:
Magic!
On Thursday, 12 December 2024 at 20:00:58
UTC+2 John Clark wrote:
*The number of "tokens" (words or parts of
words) used to train LLMs is 100 times
larger than it was in 2020, the largest
are now using tens of trillions. if you
only consider text then the entire
Internet only contains about 3,100
trillion tokens. The amount of text LLMs
train on is doubling every year but the
amount of human generated text on the
Internet is only growing at about 10% a
year, if that trend continues AIs will run
out of text somewhere around 2028. Does
that mean AI progress is about to hit a
wall? I don't think so for the following
reasons:*
*For one thing, because of improvements in
algorithms, the computing power needed for
a Large Language Model to achieve the
same performance has halved about every
8 months. *
*
*
*ALGORITHMIC PROGRESS IN LANGUAGE MODELS*
<https://arxiv.org/pdf/2403.05812>
*And computer chips specialized for AI
rather than general computing, like those
made by Nvidia and other companies, are
getting faster even more rapidly
than Moore's Law. Also, the rate of growth
of specialized data sets, such as
astronomical and biological data, are
growing much much more quickly than text
is; that's how AIs got so good at
predicting how proteins fold up. *
*And there is vastly more information if
AI's are trained on other types of data
besides text, and some AI's are already
being trained on unlabeled images and
videos. Yann LeCun, chief AI scientist at
Meta, said that "/although the 10^13
tokens used to train a LLM sounds like a
lot /(it would take a human 170,000 years
to read that much)/, a 4-year-old child
has absorbed a volume of data 50 times
greater than that just by looking at
objects during his waking hours. We’re
never going to get to human-level AI by
just training on language, that’s just not
happening/".*
*And then there's synthetic
data. AlphaGeometry was trained to solve
geometry problems using 100 million
computer generated synthetic examples with
no human demonstrations, and it ended up
being as good at solving difficult
geometry problems as the very best high
school students in the entire nation. *
*Solving olympiad geometry without human
demonstrations*
<https://www.nature.com/articles/s41586-023-06747-5>
*AI researchers are starting to change
their strategy and have their AI's reread
their training set many times because AI's
operate in a statistical way so rereading
improves performance *
*Scaling Data-Constrained Language Models*
<https://arxiv.org/pdf/2305.16264>
*Andy Zouat Carnegie Mellon Universitysays
"/once //an AI has got a foundational
knowledge base that’s probably greater
than any single person could have,it no
longer needs more data to get smarter. It
just needs to sit and think. I think we’re
probably pretty close to that point/.”*
*
*
*John K Clark See what's on my new list
at Extropolis
<https://groups.google.com/g/extropolis>*
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