Google should say "What do you want to find?" .. going places is also a
thing just as much as knowing something is
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Google is clearly making mistakes - the search bar says "What do you want to
know".what if i want to go to a place, a forum, to teach others?
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nonbeliever crap. your saying that the law of gravity isnt just a rule.
rules work.
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On Fri, Nov 1, 2019, 6:07 AM Stefan Reich via AGI
wrote:
> CYC was not a big team and got pretty far.
>
No it didn't. Cyc was a big lesson on the failure of rule based AI. Lenat
had no idea how many rules are needed to implement AI. Now 35 years later
we know it's more than a million. There was
Yep. indie rule is true.
Its just a bunny suit conspiracy saying you need capital for anything in
computers.
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CYC was not a big team and got pretty far.
On Fri, 1 Nov 2019 at 02:40, Matt Mahoney wrote:
> Big companies with trillion dollar market caps are making real advances in
> AI because AI is expensive. Have you been paying attention at all?
>
> And that's AI, not AGI. AGI is the $1 quadrillion prob
if it is comforting
facebook,uber,
nvidia are developing ai.
On Thu, Oct 31, 2019 at 10:36 PM wrote:
> In the second answer we see someone thinks schools don't teach much, only
> in high-school. This is wrong actually, parents and teachers teach a LOT by
> then, but a lot of it can be said once.
In the second answer we see someone thinks schools don't teach much, only in
high-school. This is wrong actually, parents and teachers teach a LOT by then,
but a lot of it can be said once. There's tons of room for improvement.
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Don't be scared of Google etc. They are bigger, there is more members who have
tight communication and similar beliefs and have high quality experience and
lots of money and respect and a happy mind with shelter etc. But everyone has a
purpose - even if it means having no role. We can make great
Big companies with trillion dollar market caps are making real advances in
AI because AI is expensive. Have you been paying attention at all?
And that's AI, not AGI. AGI is the $1 quadrillion problem of automating
human labor. If nobody can do that with $1 trillion, what chance do you
think you ha
They arent AGI projects what open ai do, they are applied a.i. I hate google,
its not a true representation of the demographic of the internet.
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The only people advancing AGI seems more and more to be larger companies like
Open AI and Google. They get more mentions. They are super rich now and famous
and have a huge team. They re-use their architectures across OpenAI5, the Arm,
GPT-2, MuseNet, Image Completer, Hide & Seek. And they give
The AI problem is analogous to the UFO problem - there appears to be
something there that works, but no one has a clue as to even where to start
to figure out how it works.
Steve
On Wed, Oct 30, 2019, 2:58 AM wrote:
> oh! damn I hate misinterpreting things, I need to concentrate harder when
> i
oh! damn I hate misinterpreting things, I need to concentrate harder when im
reading other ppls posts... god sorry.
Yeh! haha! watch out its a small world!!!
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Nooo, I just meant that my publicly declared hate is now a thing one can
find online...
On Wed, 30 Oct 2019 at 10:48, wrote:
> Why is that Stefan - ask me more questions and ill help clarify things if
> u want me to.
> Im not sure if these things I say are to be said, or kept secret...
> becaus
Why is that Stefan - ask me more questions and ill help clarify things if u
want me to.
Im not sure if these things I say are to be said, or kept secret... because
people arent supposed to know?
Here is my unit - and its using search, and it seems quite lively.
https://www.youtube.com/watch?v=6H
Sigh. Now this mail's subject is haunting me...
On Wed, 30 Oct 2019 at 09:56, wrote:
> I wouldnt call it a complete ripoff - a search can kick your butt at
> chess, or any other domain for that matter, and it actually can seem
> "alive" if a computer looks all ends and picks the max. The fut
I wouldnt call it a complete ripoff - a search can kick your butt at chess, or
any other domain for that matter, and it actually can seem "alive" if a
computer looks all ends and picks the max. The future of a.i. is searching,
I dont think its even moral to make something that can think like
Really in order to "understand" in a fashion analogous to humans, the
AI needs more or less fullblown common sense, the always elusive
defect.
Unless their AI has common sense baked in, they shouldn't say
"understand" unless they qualify it with what they define "understand"
as.
Otherwise -- they
yeh they should say its the product of a search in a model, its not actually
understanding.
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What bothers me is when hot shot engineers (much younger than me) say
"our AI understands" .. but it's a shell game! They don't define
"understand" and nobody knows really what it is or how it works.
Everybody uses their own definition.
On 10/29/19, John Rose wrote:
> On Monday, October 28,
On Monday, October 28, 2019, at 9:10 AM, doddy wrote:
> did anyone study
> google plaNet.
In Python, link: https://danijar.com/project/planet/
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did anyone study
google plaNet.
On Mon, Oct 28, 2019 at 4:28 AM wrote:
> Sorry to be disagreeable, but I dont mind whats going on, I actually
> think theyll get there, because the a.i. problem isnt as hard as ppl made
> it out to be, I think ppl just have to attempt it and I think it should
>
Sorry to be disagreeable, but I dont mind whats going on, I actually think
theyll get there, because the a.i. problem isnt as hard as ppl made it out to
be, I think ppl just have to attempt it and I think it should work out for them.
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With mainstream AI it's a love-hate relationship. From nothing you can spin up
in minutes colossal compute resources in their clouds and then shut it down and
pay a small fee. It’s all scriptable.
“How I Learned to Stop Worrying and Love the Cloud”…
--
Art
I think the problem with the whole neural network approach is that it
doesn't teach us anything. By using infinite computing resources, certain
problems can be solved (although NN are never even error-free!), but what
next? It still seems so fake.
On Sun, 27 Oct 2019 at 20:51, wrote:
> "Many rec
"Many recent works focus on using expensive reinforcement learning (RL)
methods to solve this problem (Sermanet et al., 2018; Liu et al., 2017; Peng et
al., 2018; Aytar et al.,
2018). In contrast, high-fidelity imitation in humans is often cheap: in
one-shot we can closely mimic
a demonstration.
OK well I don't completely hate them. I just think the current distribution
of wealth and influence sucks
On Sun, 27 Oct 2019 at 15:51, Stefan Reich <
stefan.reich.maker.of@googlemail.com> wrote:
> Let's use petabytes of data! Let's show off how much $$$ we have by buying
> incredible hardwar
I like this post.
On Sun, 27 Oct 2019 at 19:12, wrote:
> Luckily we have this list where we get together and share knowledge. One
> day, possibly soon, the knowledge we share will be highly readable and will
> make sense to most members. Only then will everyone get closer thinking and
> feel mor
Do you need a mentor to explain 2+2=4? No, a ultra small pdf will do. It'll
work for most humans.
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Luckily we have this list where we get together and share knowledge. One day,
possibly soon, the knowledge we share will be highly readable and will make
sense to most members. Only then will everyone get closer thinking and feel
more like a team. Right now a lot of knowledge is all over the pla
1 man army.
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Big Data
Big Compute
Big Money
Big Company
Big Error
Big Confusion
If you utilized small data to its fullest potential, it'd be more like:
Small Data
Small Compute
Small Money
Small Company
Small Error
Small Confusion
We still need the grand neural schema though. One that fits the Glove over the
needs more sampling!!! =)
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