Re: [agi] Narrow AGI

[Secretary of Trades]

1), 2) and 5) nouns extracted for phraseology.

Unidentified "F" Objects in 3), 4).


Judgment is a highly intelligent procedure; shouldn't be the same with
discrimination or recognition.
Instead of 4): should be able to use the existing communication space in
the usual manners. And most of all, AI should be active (or usable) in
offline computing systems.


On 01.08.2019 22:40, Mike Archbold wrote:

I like this editorial but I'm not sure "Narrow AGI" is the best label.
At the moment I don't have a better name for it though. I mean, I
agree in principle but it's like somebody saying "X is a liberal
conservative." X might really be so, but it might be that... oh hell,
why don't we just call it "AI"?

Really, all technology performs some function. A function is kind of
intrinsically narrow. Real estate sales, radio advertising, wire
transfer, musical composition...In that light, all technology is
narrow for its function.

The difficulty with AGI is: it doesn't understand, reason, and judge
as a human can, at a human level. But I think that a narrow AGI app is
still a narrow function! Thus narrow AGI is what is going on, a narrow
function because all technology is basically narrow, we need it to do
something specific. What narrow AI is, is really just a lot better
good old fashioned programs that do something better at a human level.

My opinion is a "narrow AGI" would need:

1) increased common sense, the ability to form rudimentary
understanding, reasoning, and judgining pushing the boundary toward
human level
2) can perform some function, some narrow function (all functions are
narrow it seems) very well, approaching continually human level
competence
3) Can handle wide variations in cases (DL level fuzzy pattern
matching, patternism)
4) USES A COMMON BASE WITH OTHER NARROW AGIs which gets more competent
5) Becomes increasingly easier to specialize


Mike A

On 8/1/19, Costi Dumitrescu  wrote:

So Mars gets conquered by AI robots. What Tensor Flaw is so intelligent
about surgery or proving math theorems?

Bias?


On 01.08.2019 13:16, Ben Goertzel wrote:

https://blog.singularitynet.io/from-narrow-ai-to-agi-via-narrow-agi-9618e6ccf2ce


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Re: [agi] My paper in AGI-19

[Secretary of Trades]

Vision and hearing.


On 02.08.2019 04:12, Mohammadreza Alidoust wrote:

Thank you. I really enjoy and appreciate your comments.

There is no universal problem solver. So for the purpose of building a
real AGI, how many problems should our model be able to solve? How big
is our problem space?


On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney mailto:mattmahone...@gmail.com>> wrote:

The human brain cannot solve every problem. There is no
requirement for AGI to do so either. Hutter and Legg proved that
there is no such thing as a universal problem solver or predictor.

It feels like you could solve any problem given enough effort, but
that is an illusion. In reality you can't read a 20 digit number
and recite it back. The human brain is good at solving problems
that improve reproductive fitness, and that's only because it is
very complex with thousands of specialized structures and a
billion bits of inherited knowledge.

On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust
mailto:class.alido...@gmail.com>> wrote:

I may not call the model "a reinforcement learning neural
network", because nothing is going to be reinforced there. I
would rather call it "model based decision making" where the
model of the world will be incrementally completed and more
accurate, which then helps in better decision making.

The model is in its early stages and must be tested in heavier
tasks like the ones you mentioned. However, I believe that AGI
is an infinite problem-space and a real AGI must be able to
solve everything. This requires further implementations,
modifications, time, teamwork, financial support, etc.

On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney
mailto:mattmahone...@gmail.com>> wrote:

Not understanding the math is the reader's problem. It is
necessary to describe the theory and the experiments and
shouldn't be omitted.

The paper describes 3 phases of training a reinforcement
learning neural network. The first phase is experimenting
with random actions. The next two phases choose the action
estimated to maximize reward. They differ in that they use
explicit and then implicit memory, although the paper
didn't explain these or other details of the learner.

I like that the paper has an experimental results section,
which most papers on AGI lack. But I think calling it a
"AGI brain" is a stretch. It learns in highly abstract
models of chemical manufacturing or cattle grazing. It
doesn't demonstrate actual AGI or solve any major
components like language or vision.

On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann
mailto:m...@korfmann.info>> wrote:

I guess he meant: It’s difficult to understand all
these mathematical equations. Visualizations are
better at transporting ideas in a way that almost
everyone can understand easily.


On 31. Jul 2019, at 13:46, Mohammadreza Alidoust
mailto:class.alido...@gmail.com>> wrote:

Thank you for reading my paper. I wish you success too.

Could you please explain more about the readership? I
am afraid I did not get the point.

Best regards,
Mohammadreza Alidoust


On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via AGI
mailto:agi@agi.topicbox.com>>
wrote:

If someone paid me to go, I'd go... :-)


http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf

I like the stages you define in your paper
(infancy, decision making, expert). Sounds
reasonable.

I pretty much erased mathematical formulas from
my brain though, even though I have studied those
things. These days I prefer to think in natural
language or code. Increases the readership
exponentially too. :-)

Many greetings and best wishes to you


On Tue, 30 Jul 2019 at 02:13, Mohammadreza
Alidoust mailto:class.alido...@gmail.com>> wrote:

Dear Stefan Reich,

Thank you. I do not know whether submitting
my paper before official publication by
Springer is against their copyrights or not.
I am not sure about their rules. I will ask
the authorities when I arrived Shenzhen and
inform you.

However I recommend not to miss the AGI-19.
  

Re: [agi] My paper in AGI-19

[Secretary of Trades]

Matt do another paper and find a way to refer work that goes without
publishing papers and books, such as the Senator's.


On 02.08.2019 05:53, Matt Mahoney wrote:

The obvious application of AGI is automating $80 trillion per year
that we have to pay people for work that machines aren't smart enough
to do. That means solving hard problems in language, vision, robotics,
art, and modeling human behavior. I listed the requirements in more
detail in my paper. The solution is going to require decades of global
effort. The best that individuals can do is make small steps towards a
solution. http://mattmahoney.net/costofai.pdf

On Thu, Aug 1, 2019, 9:14 PM Mohammadreza Alidoust
mailto:class.alido...@gmail.com>> wrote:

Thank you. I really enjoy and appreciate your comments.

There is no universal problem solver. So for the purpose of
building a real AGI, how many problems should our model be able to
solve? How big is our problem space?


On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney mailto:mattmahone...@gmail.com>> wrote:

The human brain cannot solve every problem. There is no
requirement for AGI to do so either. Hutter and Legg proved
that there is no such thing as a universal problem solver or
predictor.

It feels like you could solve any problem given enough effort,
but that is an illusion. In reality you can't read a 20 digit
number and recite it back. The human brain is good at solving
problems that improve reproductive fitness, and that's only
because it is very complex with thousands of specialized
structures and a billion bits of inherited knowledge.

On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust
mailto:class.alido...@gmail.com>>
wrote:

I may not call the model "a reinforcement learning neural
network", because nothing is going to be reinforced there.
I would rather call it "model based decision making" where
the model of the world will be incrementally completed and
more accurate, which then helps in better decision making.

The model is in its early stages and must be tested in
heavier tasks like the ones you mentioned. However, I
believe that AGI is an infinite problem-space and a real
AGI must be able to solve everything. This requires
further implementations, modifications, time, teamwork,
financial support, etc.

On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney
mailto:mattmahone...@gmail.com>>
wrote:

Not understanding the math is the reader's problem. It
is necessary to describe the theory and the
experiments and shouldn't be omitted.

The paper describes 3 phases of training a
reinforcement learning neural network. The first phase
is experimenting with random actions. The next two
phases choose the action estimated to maximize reward.
They differ in that they use explicit and then
implicit memory, although the paper didn't explain
these or other details of the learner.

I like that the paper has an experimental results
section, which most papers on AGI lack. But I think
calling it a "AGI brain" is a stretch. It learns in
highly abstract models of chemical manufacturing or
cattle grazing. It doesn't demonstrate actual AGI or
solve any major components like language or vision.

On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann
mailto:m...@korfmann.info>> wrote:

I guess he meant: It’s difficult to understand all
these mathematical equations. Visualizations are
better at transporting ideas in a way that almost
everyone can understand easily.


On 31. Jul 2019, at 13:46, Mohammadreza Alidoust
mailto:class.alido...@gmail.com>> wrote:

Thank you for reading my paper. I wish you
success too.

Could you please explain more about the
readership? I am afraid I did not get the point.

Best regards,
Mohammadreza Alidoust


On Tue, Jul 30, 2019, 2:14 PM Stefan Reich via
AGI mailto:agi@agi.topicbox.com>> wrote:

If someone paid me to go, I'd go... :-)


http://agi-conf.org/2019/wp-content/uploads/2019/07/paper_21.pdf

I like the stages you define in your paper
(infancy, decision making, expert). Sounds
reasonable.

I pretty much

[agi] Robot simulators

[Secretary of Trades]

https://www.smashingrobotics.com/most-advanced-and-used-robotics-simulation-software/
http://lenkaspace.net/tutorials/programming/robotSimulatorsComparison

https://arxiv.org/pdf/1402.7050.pdf
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.369.3980&rep=rep1&type=pdf



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Re: [agi] My paper in AGI-19

[Secretary of Trades]

Metabolism is the primary biological process. But reading and writing
chemical memories is not primary.

While reading and writing electrical memories is primary it's also
critical in distinguishing between intelligent actions and automated
processes.

To interrupt a primary process with uncertain items such as clouds
connectivity links is a fallacy.

Vision and hearing should be enough to learn skills like seeing,
drawing, reading, writing, listening, talking, entity recognition and
other cognitive (not behavioral) tasks such as, of course, Kung fu. For
it's quite intelligent to have one's enemy kicking and screaming during
one's pillow peace times.


https://www.youtube.com/watch?v=RC7ZNXclWWY


Pride could be the third problem, for it runs smooth on Prejudice.


On 02.08.2019 23:45, Mohammadreza Alidoust wrote:

Vision and hearing... And?

On Fri, Aug 2, 2019 at 11:58 PM Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

Vision and hearing.


On 02.08.2019 04:12, Mohammadreza Alidoust wrote:
> Thank you. I really enjoy and appreciate your comments.
>
> There is no universal problem solver. So for the purpose of
building a
> real AGI, how many problems should our model be able to solve?
How big
> is our problem space?
>
>
> On Thu, Aug 1, 2019, 8:22 AM Matt Mahoney
mailto:mattmahone...@gmail.com>
> <mailto:mattmahone...@gmail.com
<mailto:mattmahone...@gmail.com>>> wrote:
>
> The human brain cannot solve every problem. There is no
> requirement for AGI to do so either. Hutter and Legg proved that
> there is no such thing as a universal problem solver or
predictor.
>
> It feels like you could solve any problem given enough
effort, but
> that is an illusion. In reality you can't read a 20 digit number
> and recite it back. The human brain is good at solving problems
> that improve reproductive fitness, and that's only because it is
> very complex with thousands of specialized structures and a
> billion bits of inherited knowledge.
>
> On Wed, Jul 31, 2019, 10:58 PM Mohammadreza Alidoust
> mailto:class.alido...@gmail.com>
<mailto:class.alido...@gmail.com
<mailto:class.alido...@gmail.com>>> wrote:
>
> I may not call the model "a reinforcement learning neural
> network", because nothing is going to be reinforced there. I
> would rather call it "model based decision making" where the
> model of the world will be incrementally completed and more
> accurate, which then helps in better decision making.
>
> The model is in its early stages and must be tested in
heavier
> tasks like the ones you mentioned. However, I believe
that AGI
> is an infinite problem-space and a real AGI must be able to
> solve everything. This requires further implementations,
> modifications, time, teamwork, financial support, etc.
>
> On Thu, Aug 1, 2019 at 1:34 AM Matt Mahoney
> mailto:mattmahone...@gmail.com> <mailto:mattmahone...@gmail.com
<mailto:mattmahone...@gmail.com>>> wrote:
>
> Not understanding the math is the reader's problem.
It is
> necessary to describe the theory and the experiments and
> shouldn't be omitted.
>
> The paper describes 3 phases of training a reinforcement
> learning neural network. The first phase is
experimenting
> with random actions. The next two phases choose the
action
> estimated to maximize reward. They differ in that
they use
> explicit and then implicit memory, although the paper
> didn't explain these or other details of the learner.
>
> I like that the paper has an experimental results
section,
> which most papers on AGI lack. But I think calling it a
> "AGI brain" is a stretch. It learns in highly abstract
> models of chemical manufacturing or cattle grazing. It
> doesn't demonstrate actual AGI or solve any major
> components like language or vision.
>
> On Wed, Jul 31, 2019, 8:01 AM Manuel Korfmann
> mailto:m...@korfmann.info>
<mailto:m...@korfmann.info <mailto:m...@korfmann.info>>> wrote:
>
> I guess he meant: It’s difficult to understand all
> these m

Re: [agi] My paper in AGI-19

[Secretary of Trades]

How long is "long term memory"?


On 03.08.2019 21:41, Matt Mahoney wrote:

My paper on the cost of AI is published as a book chapter in
"Philosophy of Mind: Contemporary Perspectives" in 2017. My main
contribution is using data compression to estimate the information
content of our DNA in equivalent lines of code. It is about 300
million lines. It represents about half of a person's knowledge. The
other half is learned and stored in long term memory.

Each half is on the order of 10^9 bits. This does not seem like a lot.
It is probably why Turing predicted in 1950 that a computer with 10^9
bits of memory and no faster than current technology (vacuum tubes and
relays) would win the imitation game (pass the Turing test) in 2000.
He probably assumed a computer could be educated as a child, so 10^9
bits of training text at 10 Hz over a decade should be sufficient.

But automating human labor also requires vision, complex robotics, and
modeling human behavior including humor, art, music, food, and
emotions. That is AGI. Training vision alone requires a decade of high
resolution video, 137M pixels per eye at 10 Hz. That's over 10^18
bits. We know from experiments that could only be done recently on
supercomputers that neural networks give the best results over a wide
range of AI problems. A human brain sized neural network with 86
billion neurons and 600 trillion synapses at 10 Hz requires 12
petaflops and a petabyte of RAM.

At the current cost of 1MW of electricity per petaflop, automating 5
billion workers will require 60,000 terawatts of power. Current global
energy production is 15 TW. I think the power requirements can be
reduced through specialization and neuromorphic hardware, but it will
still be well above the 0.7 TW it takes to feed the world's population
unless we find an alternative to computing with transistors.

300M lines of code will cost $30 billion. But really, this is an
insignificant fraction of the total cost. We shouldn't bother with
alternatives like evolution or other reinforcement learning. The
problem with evolution is each life or death decision only transmits
one bit. The biosphere has 10^37 bits of DNA. Human evolution took
10^48 DNA copy operations and 10^50 transcription operations over
10^17 seconds (3 billion years) assuming a cell replication rate of
10^-6 Hz (11 days). Keep in mind these operations use only a billionth
as much energy as in transistors or 10,000th as much as in neurons.

The next decade of human labor will cost $1 quadrillion. Keep in mind
what you want to achieve and can achieve. There are millions of job
specializations. Automating just one is hard. But if millions of
people can do this, then we have AGI.

On Fri, Aug 2, 2019, 3:56 PM Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

Matt do another paper and find a way to refer work that goes without
publishing papers and books, such as the Senator's.


On 02.08.2019 05:53, Matt Mahoney wrote:
> The obvious application of AGI is automating $80 trillion per year
> that we have to pay people for work that machines aren't smart
enough
> to do. That means solving hard problems in language, vision,
robotics,
> art, and modeling human behavior. I listed the requirements in more
> detail in my paper. The solution is going to require decades of
global
> effort. The best that individuals can do is make small steps
towards a
> solution. http://mattmahoney.net/costofai.pdf
>

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Re: [agi] My paper in AGI-19

[Secretary of Trades]

How about love speech?


On 04.08.2019 10:27, Basile Starynkevitch wrote:



On 8/4/19 9:25 AM, rounce...@hotmail.com wrote:

Mohammud is a monkey. =CD



In France, where I live, such hate speech is illegal and get you a
huge fine.


--
Basile Starynkevitch (92340 Bourg La Reine, France)
http://starynkevitch.net/Basile/  
Opinions are only mine - mes opinions ne sont que miennes
(tel. mobile: cf my web page / voir ma page web)
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Re: [agi] My paper in AGI-19

[Secretary of Trades]

Humor for the State of Calm

https://www.kurzweilai.net/google-announces-cognitive-autoheuristic-distributed-intelligence-entity-update


On 03.08.2019 21:41, Matt Mahoney wrote:

My paper on the cost of AI is published as a book chapter in
"Philosophy of Mind: Contemporary Perspectives" in 2017. My main
contribution is using data compression to estimate the information
content of our DNA in equivalent lines of code. It is about 300
million lines. It represents about half of a person's knowledge. The
other half is learned and stored in long term memory.

Each half is on the order of 10^9 bits. This does not seem like a lot.
It is probably why Turing predicted in 1950 that a computer with 10^9
bits of memory and no faster than current technology (vacuum tubes and
relays) would win the imitation game (pass the Turing test) in 2000.
He probably assumed a computer could be educated as a child, so 10^9
bits of training text at 10 Hz over a decade should be sufficient.

But automating human labor also requires vision, complex robotics, and
modeling human behavior including humor, art, music, food, and
emotions. That is AGI. Training vision alone requires a decade of high
resolution video, 137M pixels per eye at 10 Hz. That's over 10^18
bits. We know from experiments that could only be done recently on
supercomputers that neural networks give the best results over a wide
range of AI problems. A human brain sized neural network with 86
billion neurons and 600 trillion synapses at 10 Hz requires 12
petaflops and a petabyte of RAM.

At the current cost of 1MW of electricity per petaflop, automating 5
billion workers will require 60,000 terawatts of power. Current global
energy production is 15 TW. I think the power requirements can be
reduced through specialization and neuromorphic hardware, but it will
still be well above the 0.7 TW it takes to feed the world's population
unless we find an alternative to computing with transistors.

300M lines of code will cost $30 billion. But really, this is an
insignificant fraction of the total cost. We shouldn't bother with
alternatives like evolution or other reinforcement learning. The
problem with evolution is each life or death decision only transmits
one bit. The biosphere has 10^37 bits of DNA. Human evolution took
10^48 DNA copy operations and 10^50 transcription operations over
10^17 seconds (3 billion years) assuming a cell replication rate of
10^-6 Hz (11 days). Keep in mind these operations use only a billionth
as much energy as in transistors or 10,000th as much as in neurons.

The next decade of human labor will cost $1 quadrillion. Keep in mind
what you want to achieve and can achieve. There are millions of job
specializations. Automating just one is hard. But if millions of
people can do this, then we have AGI.

On Fri, Aug 2, 2019, 3:56 PM Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

Matt do another paper and find a way to refer work that goes without
publishing papers and books, such as the Senator's.


On 02.08.2019 05:53, Matt Mahoney wrote:
> The obvious application of AGI is automating $80 trillion per year
> that we have to pay people for work that machines aren't smart
enough
> to do. That means solving hard problems in language, vision,
robotics,
> art, and modeling human behavior. I listed the requirements in more
> detail in my paper. The solution is going to require decades of
global
> effort. The best that individuals can do is make small steps
towards a
> solution. http://mattmahoney.net/costofai.pdf
>

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[agi] Central retaliation

[Secretary of Trades]

Forms of retaliation against distributed intelligence



https://technologyandsociety.org/the-dangers-of-distributed-intelligence/


https://epic.org/privacy/NSCAI-initial-report-073119.pdf


http://www.4pt.su/en/content/return-great-times


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[agi] When it comes with a removable tag...

[Secretary of Trades]

... you can do it!

https://near.st/product/2360159


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[agi] AJI

[Secretary of Trades]

When it's not even able to run a robot simulator, but gives ears to the
wall and eyes to the bike, it's called an Artificially Junk Idiocy

https://www.zdnet.com/article/chinas-bizarre-chip-pumps-up-the-hype-in-a-i/

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Re: [agi] My paper in AGI-19

[Secretary of Trades]

☐ He's not a robot.



https://www.sciencemag.org/news/2019/05/artificial-intelligence-created-these-bizarre-faces-and-monkey-neurons-love-them


On 05.08.2019 03:55, Matt Mahoney wrote:

I don't like government censorship, but I am all in favor of list
administrators booting people who have nothing better to contribute
than posting childish insults.

On Sun, Aug 4, 2019, 3:28 AM Basile Starynkevitch
mailto:bas...@starynkevitch.net>> wrote:


On 8/4/19 9:25 AM, rounce...@hotmail.com
 wrote:

Mohammud is a monkey. =CD



In France, where I live, such hate speech is illegal and get you a
huge fine.


--
Basile Starynkevitch (92340 Bourg La Reine, France)
http://starynkevitch.net/Basile/   

Opinions are only mine - mes opinions ne sont que miennes
(tel. mobile: cf my web page / voir ma page web)

*Artificial General Intelligence List
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Re: [agi] can anyone here code a physics engine?

[Secretary of Trades]

Atmosphere specification:

- pressure  <1% of 1 atm

- temperature -150 to +30 C



On 06.08.2019 18:22, Berick Cook wrote:

OpenAI's Gym has several open source, physics based test environments.
Including pendulums and robotics simulations.

https://gym.openai.com/envs/



On Mon, Aug 5, 2019, 8:58 PM Alan Grimes via AGI mailto:agi@agi.topicbox.com>> wrote:

I've been wanting a test environment for ten years. =\

There are several half-assed attempts at AGI testing environments
from
Micro$oft and Fbk...
There are also some robot simulators out there...

Because it's such an obviously important thing to have, nobody really
pays too much attention to it. The environments that are there are
severely limited and are difficult to get running on the computer you
actually have in front of you.

Game engines are gradually getting easier to use, Godot seems to
be the
new best entry level engine (formerly Unity, iinm).

Good luck and keep us posted.


rounce...@hotmail.com  wrote:
> So... i'm at the point now ive got my artificial neural network
system
> how I like it...?? ??But I need a method to train it on.
>
> So, I thought - wot tha hay - lets get it emulating a physics
engine.
>
> But then just the thought of 100 complex pendulums spinning around
> rattling into each other and bouncing off the wall seems REALLY F'N
> HARD, and I dont know what to do.
>
> Anyone else here reckons its absolutely impossible to do
realisticly
> at all??
>

--
Clowns feed off of funny money;
Funny money comes from the FED
so NO FED -> NO CLOWNS!!!

Powers are not rights.

On Mon, Aug 5, 2019, 8:58 PM Alan Grimes via AGI mailto:agi@agi.topicbox.com>> wrote:

I've been wanting a test environment for ten years. =\

There are several half-assed attempts at AGI testing environments
from
Micro$oft and Fbk...
There are also some robot simulators out there...

Because it's such an obviously important thing to have, nobody really
pays too much attention to it. The environments that are there are
severely limited and are difficult to get running on the computer you
actually have in front of you.

Game engines are gradually getting easier to use, Godot seems to
be the
new best entry level engine (formerly Unity, iinm).

Good luck and keep us posted.

rounce...@hotmail.com  wrote:
> So... i'm at the point now ive got my artificial neural network
system
> how I like it...?? ??But I need a method to train it on.
>
> So, I thought - wot tha hay - lets get it emulating a physics
engine.
>
> But then just the thought of 100 complex pendulums spinning around
> rattling into each other and bouncing off the wall seems REALLY F'N
> HARD, and I dont know what to do.
>
> Anyone else here reckons its absolutely impossible to do
realisticly
> at all??
>

--
Clowns feed off of funny money;
Funny money comes from the FED
so NO FED -> NO CLOWNS!!!

Powers are not rights.

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Re: [agi] Narrow AGI

[Secretary of Trades]

http://research.ibm.com/ibm-q/quantum-card-test/

It kind of renders complex information less probabilistic...

Takes out prophets! 😛

On 10.08.2019 18:13, Ben Goertzel wrote:

The point is, Matt, you can't copy my quantum predictor without me
knowing you were copying it.   Basic principle of quantum
cryptography.

This is irrelevant to AGI though, just a sorta fun thought experiment...

On Sat, Aug 10, 2019 at 10:27 AM Matt Mahoney  wrote:

Evolution is not time reversible so it can't run on a quantum computer. Quantum 
processes can also produce uncomputable sequences since they can produce 
infinite random bits.

But that aside, let's say you have a simple quantum learner that can predict 
any quantum computable sequence, which is any sequence that can be produced on 
a Turing machine with a source of random bits (because a quantum computer can 
be otherwise simulated classically). Then I can still produce a simple sequence 
that you can't predict any better than random guessing. I run a copy of your 
quantum predictor, which produced an output from the same distribution, and 
return a different symbol. Either the distribution is uniform and you are 
guessing, or it's not uniform and you will do worse than guessing.


On Fri, Aug 9, 2019, 9:26 PM Ben Goertzel  wrote:

What if my program was created by quantum evolutionary learning, and
carries out its predictions while running in an uncollapsed quantum
state, coupled with the classical system reading-out its predictions
in a way that doesn't collapse its internal memory states...

Then I can set it up so you can't measure what algorithm my program is
running *without collapsing the state, which I could notice* -- and
even if you emulated my process of quantum evolutionary learning, you
couldn't tell what random program it had produced for me.

So your approach doesn't work for quantum computers... but our
physical universe is a quantum system...

-- Ben

On Sat, Aug 10, 2019 at 9:08 AM Matt Mahoney  wrote:

Suppose you have a simple learner that can predict any computable sequence of 
symbols with some probability at least as good as random guessing. Then I can 
create a simple sequence that your predictor will get wrong 100% of the time. 
My program runs a copy of your program and outputs something different from 
your guess.

All the empirical evidence supports this. Good compressors have a lot of code 
to handle lots of special cases.

On Fri, Aug 9, 2019, 8:15 PM Ben Goertzel  wrote:





Legg proved there is no such thing as a simple, universal learner. So we can 
stop looking for one.



To be clear, these algorithmic information theory results don't show there is 
no such thing as a simple learner that is universal in our physical universe...

I'm not saying there necessarily is one, just pointing out that the math is not 
so practically applicable as your statement implies...


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http://goertzel.org

“The only people for me are the mad ones, the ones who are mad to
live, mad to talk, mad to be saved, desirous of everything at the same
time, the ones who never yawn or say a commonplace thing, but burn,
burn, burn like fabulous yellow roman candles exploding like spiders
across the stars.” -- Jack Kerouac

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Re: [agi] My paper in AGI-19

[Secretary of Trades]

https://www.youtube.com/watch?v=0vvvPZd6_D8


On 04.08.2019 10:27, Basile Starynkevitch wrote:



On 8/4/19 9:25 AM, rounce...@hotmail.com wrote:

Mohammud is a monkey. =CD



In France, where I live, such hate speech is illegal and get you a
huge fine.


--
Basile Starynkevitch (92340 Bourg La Reine, France)
http://starynkevitch.net/Basile/  
Opinions are only mine - mes opinions ne sont que miennes
(tel. mobile: cf my web page / voir ma page web)
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[agi] Unsupervised learning - polling by propaganda

[Secretary of Trades]

How it works in the Florida Man cognitive bot

https://news.yahoo.com/president-trump-has-never-seen-anything-like-it-184008920.html


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Re: [agi] Building a simple translator in agi.blue

[Secretary of Trades]

Interesting. There might be a way out of Turing's mess:

Say somebody's english language bot wanted to learn german from a german
language bot...


On 12.08.2019 18:09, Stefan Reich via AGI wrote:

For early adopters only.

https://www.youtube.com/watch?v=w2gJ63tvTW8

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Re: [agi] My paper in AGI-19

[Secretary of Trades]

https://www.youtube.com/watch?v=GZlggz618qo

:)

On 14.08.2019 10:00, Mohammadreza Alidoust wrote:

I don't think so. Indians have a great history of engineering.

By the way, for your information I am Persian and I like and respect
Indians and other ethnic groups.

I think you should improve your social skills, study more about
history and also focus more on the topic of the group. Such speech is
not the subject of this group.


On Mon, Aug 5, 2019, 10:39 PM mailto:rounce...@hotmail.com>> wrote:

90% of the indians live in the mud,  the rest of them had their
house built by europeans -   and u ALL know its true.

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[agi] Hippies required

[Secretary of Trades]

A hippie is required to rewrite a less euphemistic approach than in p. 43

https://mcallester.github.io/ttic-31230/18AGI/arch.pdf#page=43


At any scale, the intelligence process is supposed to work analogous to
a chain reaction


https://www.youtube.com/watch?v=6K5gy3RLcKc


https://www.sciencenews.org/blog/context/anniversary-first-controlled-nuclear-chain-reaction


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[agi] Tram pilots saved

[Secretary of Trades]

Only (?) when followed by cars, it should be tested with laser pointers*


*https://www.metrotvnews.com/play/KZmC0ZLl-russia-starts-testing-autonomous-trams-in-moscow*


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Re: [agi] Hippies required

[Secretary of Trades]

The description of an artificial physical process. Instead of an
information process as biological intelligence is described.


On 18.08.2019 16:59, Stefan Reich via AGI wrote:

And this description is supposed to help us make AI?

On Thu, Aug 15, 2019, 03:19 Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

A hippie is required to rewrite a less euphemistic approach than
in p. 43

https://mcallester.github.io/ttic-31230/18AGI/arch.pdf#page=43

At any scale, the intelligence process is supposed to work
analogous to
a chain reaction

https://www.youtube.com/watch?v=6K5gy3RLcKc

https://www.sciencenews.org/blog/context/anniversary-first-controlled-nuclear-chain-reaction

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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

Huawei is looking for an OS


On 19.08.2019 01:31, Stefan Reich via AGI wrote:

https://www.youtube.com/watch?v=W6eJSCGEkSE

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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

It sees. It must also hear.


On 19.08.2019 01:31, Stefan Reich via AGI wrote:

https://www.youtube.com/watch?v=W6eJSCGEkSE

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[agi] When the simulator fails

[Secretary of Trades]

Japanese IoT


https://browserobo.github.io/

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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

Hearing, but not for control. For segment cuts to be associated with
image cuts (e.g. 'red numbers').

Also, the red numbers should not be sourced by any kind of turking (such
as the color channel threshold kind of is). Instead a hard or soft
focusing should source the image portion of interest.

As one would bring an apple in front of a child's eyes and say "Apple"
or "An apple" ...

Such a set-up would be unsupervised enough (no text in the database and
no other kind of turking/ annotation), but instead an association
between an image db (where non-OCRed text can be included) and a sound
cuts db (where spoken text could also be included). The learning model
can be complex enough so that a spoken phrase that describes the apple
fruit to be linked (or associated) not to an image but to only a tiny
segment of the same spoken phrase (the 'apple' noun, when isolated).

So, instead of sourcing for control, the hearing module should source to
a smart association algorithm that runs continuously (so that
associations can be made at discrete times).


On 19.08.2019 15:37, Stefan Reich via AGI wrote:

You mean voice control? Yeah I have code for that.

On Mon, 19 Aug 2019 at 05:54, Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

It sees. It must also hear.


On 19.08.2019 01:31, Stefan Reich via AGI wrote:
> https://www.youtube.com/watch?v=W6eJSCGEkSE
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List
> <https://agi.topicbox.com/latest>* / AGI / see discussions
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>

<https://agi.topicbox.com/groups/agi/T8f7f05f86e62415a-M1e8cdc19650b4a48d80aaa6c>


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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

:)

It's annotation (a text entry). From Amazon's "mechanical turk".

A hilarious way of referring the current norm of primitive and
supervised learning molded on crap ANNs.


On 20.08.2019 00:11, Stefan Reich via AGI wrote:

I find your explanation hard to follow. What is "turking"? Is this
another one of those "nothing must be manual because we are making AI"
argument? Those are really useless.

On Mon, 19 Aug 2019 at 22:36, Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

Hearing, but not for control. For segment cuts to be associated with
image cuts (e.g. 'red numbers').

Also, the red numbers should not be sourced by any kind of turking
(such
as the color channel threshold kind of is). Instead a hard or soft
focusing should source the image portion of interest.

As one would bring an apple in front of a child's eyes and say "Apple"
or "An apple" ...

Such a set-up would be unsupervised enough (no text in the
database and
no other kind of turking/ annotation), but instead an association
between an image db (where non-OCRed text can be included) and a sound
cuts db (where spoken text could also be included). The learning model
can be complex enough so that a spoken phrase that describes the apple
fruit to be linked (or associated) not to an image but to only a tiny
segment of the same spoken phrase (the 'apple' noun, when isolated).

So, instead of sourcing for control, the hearing module should
source to
a smart association algorithm that runs continuously (so that
associations can be made at discrete times).


On 19.08.2019 15:37, Stefan Reich via AGI wrote:
> You mean voice control? Yeah I have code for that.
>
> On Mon, 19 Aug 2019 at 05:54, Secretary of Trades
> mailto:costi.dumitre...@gmx.com>
<mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>> wrote:
>
> It sees. It must also hear.
>
>
> On 19.08.2019 01:31, Stefan Reich via AGI wrote:
> > https://www.youtube.com/watch?v=W6eJSCGEkSE
> >
> > --
> > Stefan Reich
> > BotCompany.de // Java-based operating systems
> > *Artificial General Intelligence List
> > <https://agi.topicbox.com/latest>* / AGI / see discussions
> > <https://agi.topicbox.com/groups/agi> + participants
> > <https://agi.topicbox.com/groups/agi/members> + delivery
options
> > <https://agi.topicbox.com/groups/agi/subscription> Permalink
> >
 
<https://agi.topicbox.com/groups/agi/T8f7f05f86e62415a-M1e8cdc19650b4a48d80aaa6c>
>
>
> --
> Stefan Reich
> BotCompany.de // Java-based operating systems
> *Artificial General Intelligence List
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>
<https://agi.topicbox.com/groups/agi/T8f7f05f86e62415a-M5cdb99ac21573fb433315836>

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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

When the turk squares the apple and inference does no better there's no
crop, only crap...


With that... a mixed data db, even when the associations are more than
binary, might require a certain kind of ANN, modeled so that it
resembles a 'random forest' (growing the tree at discrete times - with
or without the Sleep States) and also a reactor when propagating the
inference particles. It takes a large correspondence table before
building or packing the model.


https://en.wikipedia.org/wiki/Random_forest


On 20.08.2019 21:17, Stefan Reich via AGI wrote:

lol... "crap ANNs". You convinced me there...

On Tue, 20 Aug 2019 at 00:04, Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

:)

It's annotation (a text entry). From Amazon's "mechanical turk".

A hilarious way of referring the current norm of primitive and
supervised learning molded on crap ANNs.


On 20.08.2019 00:11, Stefan Reich via AGI wrote:
> I find your explanation hard to follow. What is "turking"? Is this
> another one of those "nothing must be manual because we are
making AI"
> argument? Those are really useless.
>
> On Mon, 19 Aug 2019 at 22:36, Secretary of Trades
> mailto:costi.dumitre...@gmx.com>
<mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>> wrote:
>
> Hearing, but not for control. For segment cuts to be
associated with
> image cuts (e.g. 'red numbers').
>
> Also, the red numbers should not be sourced by any kind of
turking
> (such
> as the color channel threshold kind of is). Instead a hard
or soft
> focusing should source the image portion of interest.
>
> As one would bring an apple in front of a child's eyes and
say "Apple"
> or "An apple" ...
>
> Such a set-up would be unsupervised enough (no text in the
> database and
> no other kind of turking/ annotation), but instead an
association
> between an image db (where non-OCRed text can be included)
and a sound
> cuts db (where spoken text could also be included). The
learning model
> can be complex enough so that a spoken phrase that describes
the apple
> fruit to be linked (or associated) not to an image but to
only a tiny
> segment of the same spoken phrase (the 'apple' noun, when
isolated).
>
> So, instead of sourcing for control, the hearing module should
> source to
> a smart association algorithm that runs continuously (so that
> associations can be made at discrete times).
>
>
> On 19.08.2019 15:37, Stefan Reich via AGI wrote:
> > You mean voice control? Yeah I have code for that.
> >
> > On Mon, 19 Aug 2019 at 05:54, Secretary of Trades
> > mailto:costi.dumitre...@gmx.com> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>>> wrote:
> >
> > It sees. It must also hear.
> >
> >
> > On 19.08.2019 01:31, Stefan Reich via AGI wrote:
> > > https://www.youtube.com/watch?v=W6eJSCGEkSE
> > >
> > > --
> > > Stefan Reich
> > > BotCompany.de // Java-based operating systems
> > > *Artificial General Intelligence List
> > > <https://agi.topicbox.com/latest>* / AGI / see
discussions
> > > <https://agi.topicbox.com/groups/agi> + participants
> > > <https://agi.topicbox.com/groups/agi/members> + delivery
> options
> > > <https://agi.topicbox.com/groups/agi/subscription>
Permalink

<https://agi.topicbox.com/groups/agi/T8f7f05f86e62415a-M1e8cdc19650b4a48d80aaa6c>
> >
> >
> > --
> > Stefan Reich
> > BotCompany.de // Java-based operating systems
> > *Artificial General Intelligence List
> > <https://agi.topicbox.com/latest>* / AGI / see discussions
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&g

Re: [agi] HARDWARE?!?!?!??!

[Secretary of Trades]

The Digestive State and its departments...

That's not Denmark, Marcellus, not Denmark!

:)


On 20.08.2019 05:53, Alan Grimes via AGI wrote:

I think part of the reason I can't let hardware news alone is that I'm
super-stoked for AMD's Threadripper 3 and getting my grubby mitts on
one. Release date unknown, possibly as early as Sept 7...

Anyway, straight from the Holy Shit!! department:

https://www.bbc.com/news/technology-49395577



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Re: [agi] HARDWARE?!?!?!??!

[Secretary of Trades]

Prepare that vision and hearing unsupervised learning research job as a
project ready for financing.


On 20.08.2019 23:08, Stefan Reich via AGI wrote:

I'm sooo hot for a Ryzen 5. Gotta make that cash first though

On Tue, 20 Aug 2019 at 04:53, Alan Grimes via AGI
mailto:agi@agi.topicbox.com>> wrote:

I think part of the reason I can't let hardware news alone is that
I'm
super-stoked for AMD's Threadripper 3 and getting my grubby mitts on
one. Release date unknown, possibly as early as Sept 7...

Anyway, straight from the Holy Shit!! department:

https://www.bbc.com/news/technology-49395577

--
Clowns feed off of funny money;
Funny money comes from the FED
so NO FED -> NO CLOWNS!!!

Powers are not rights.

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Re: [agi] You can help train desktop image segmentation

[Secretary of Trades]

Intros to "mixed" from MiniRem's department

https://arxiv.org/pdf/1804.01452.pdf

https://arxiv.org/pdf/1904.09013.pdf


On 20.08.2019 23:06, Stefan Reich via AGI wrote:

Random forests are interesting... but I usually just don't have number
inputs. All I have is text

On Tue, 20 Aug 2019 at 22:05, Secretary of Trades
mailto:costi.dumitre...@gmx.com>> wrote:

When the turk squares the apple and inference does no better
there's no
crop, only crap...


With that... a mixed data db, even when the associations are more than
binary, might require a certain kind of ANN, modeled so that it
resembles a 'random forest' (growing the tree at discrete times - with
or without the Sleep States) and also a reactor when propagating the
inference particles. It takes a large correspondence table before
building or packing the model.


https://en.wikipedia.org/wiki/Random_forest


On 20.08.2019 21:17, Stefan Reich via AGI wrote:
> lol... "crap ANNs". You convinced me there...
    >
> On Tue, 20 Aug 2019 at 00:04, Secretary of Trades
> mailto:costi.dumitre...@gmx.com>
<mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>> wrote:
> :)
>
> It's annotation (a text entry). From Amazon's "mechanical turk".
>
> A hilarious way of referring the current norm of primitive and
> supervised learning molded on crap ANNs.
>
>
> On 20.08.2019 00:11, Stefan Reich via AGI wrote:
> > I find your explanation hard to follow. What is "turking"?
Is this
> > another one of those "nothing must be manual because we are
> making AI"
> > argument? Those are really useless.
> >
> > On Mon, 19 Aug 2019 at 22:36, Secretary of Trades
> > mailto:costi.dumitre...@gmx.com> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>>> wrote:
> >
> > Hearing, but not for control. For segment cuts to be
> associated with
> > image cuts (e.g. 'red numbers').
> >
> > Also, the red numbers should not be sourced by any kind of
> turking
> > (such
> > as the color channel threshold kind of is). Instead a hard
> or soft
> > focusing should source the image portion of interest.
> >
> > As one would bring an apple in front of a child's eyes and
> say "Apple"
> > or "An apple" ...
> >
> > Such a set-up would be unsupervised enough (no text in the
> > database and
> > no other kind of turking/ annotation), but instead an
> association
> > between an image db (where non-OCRed text can be included)
> and a sound
> > cuts db (where spoken text could also be included). The
> learning model
> > can be complex enough so that a spoken phrase that
describes
> the apple
> > fruit to be linked (or associated) not to an image but to
> only a tiny
> > segment of the same spoken phrase (the 'apple' noun, when
> isolated).
> >
> > So, instead of sourcing for control, the hearing
module should
> > source to
> > a smart association algorithm that runs continuously
(so that
> > associations can be made at discrete times).
> >
> >
> > On 19.08.2019 15:37, Stefan Reich via AGI wrote:
> > > You mean voice control? Yeah I have code for that.
> > >
> > > On Mon, 19 Aug 2019 at 05:54, Secretary of Trades
> > > mailto:costi.dumitre...@gmx.com>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>
<mailto:costi.dumitre...@gmx.com <mailto:costi.dumitre...@gmx.com>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>>
> > <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>
> <mailto:costi.dumitre...@gmx.com
<mailto:costi.dumitre...@gmx.com>>
> > <mailto:costi.dumitre...@gm

[agi] Russian robots

[Secretary of Trades]

The russian humanoid robot

https://www.youtube.com/watch?v=Az_qrXQzYOA

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Re: [agi] Russian robots

[Secretary of Trades]

Or imagine a robot drawing power to read Shakespeare on Mars


On 25.08.2019 10:12, immortal.discover...@gmail.com wrote:

Imagine a human controlling a robot where the robot itself wears an
outfit to control a second robot? Self paradox! How many can you go
until it breaks? 52 deep?
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Re: [agi] Russian robots

[Secretary of Trades]

while handling a bucket full of emotions


On 25.08.2019 11:14, Secretary of Trades wrote:

Or imagine a robot drawing power to read Shakespeare on Mars


On 25.08.2019 10:12, immortal.discover...@gmail.com wrote:

Imagine a human controlling a robot where the robot itself wears an
outfit to control a second robot? Self paradox! How many can you go
until it breaks? 52 deep?
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Re: [agi] Russian robots

[Secretary of Trades]

Wouldn't bet on plastic and wheels...

https://www.youtube.com/watch?v=Mat6xbQUqtg


On 24.08.2019 11:03, Manuel Korfmann wrote:

Thx


Sending humanoid robots to space seems like a highly intelligent idea for 
testing human space travel safely.


On 24. Aug 2019, at 09:58, Secretary of Trades  wrote:

The russian humanoid robot

https://www.youtube.com/watch?v=Az_qrXQzYOA

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Re: [agi] Re: ConscioIntelligent Thinkings

[Secretary of Trades]

clrscr();


On 28.08.2019 16:03, johnr...@polyplexic.com wrote:

On Wednesday, August 28, 2019, at 8:44 AM, WriterOfMinds wrote:

That is not what qualia are.  Qualia are incommunicable and private.


As Matt would say:

printf("Ouch!\n");

John

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Re: [agi] Re: ConscioIntelligent Thinkings

[Secretary of Trades]

https://philpapers.org/archive/CHATMO-32.pdf#page=50


On 28.08.2019 22:19, Secretary of Trades wrote:

clrscr();


On 28.08.2019 16:03, johnr...@polyplexic.com wrote:

On Wednesday, August 28, 2019, at 8:44 AM, WriterOfMinds wrote:

That is not what qualia are.  Qualia are incommunicable and private.


As Matt would say:

printf("Ouch!\n");

John

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[agi] FAO: MiniRem

[Secretary of Trades]

https://lists.csail.mit.edu/mailman/listinfo

https://www.amanet.org/articles/wake-up-america-the-alarming-realities-of-today-s-reverse-brain-drain/

https://www.tornosnews.gr/en/greek-news/society/29538-greek-mit-professor-who-solved-%E2%80%9Cnash-puzzle%E2%80%9D-sad-over-brain-drain.html

https://africasacountry.com/2017/01/documenting-nigerias-brain-drain

https://slate.com/human-interest/2014/02/why-does-iran-have-a-serious-brain-drain-problem.html


https://edition.cnn.com/2019/08/23/us/jeffrey-epstein-mit-donations/index.html

https://www.statnews.com/2019/05/21/mit-professor-is-accused-of-claiming-others-scientific-discoveries-as-his-own/

https://www.theverge.com/2019/8/9/20798900/marvin-minsky-jeffrey-epstein-sex-trafficking-island-court-records-unsealed

https://www.artsy.net/news/artsy-editorial-director-mits-media-lab-apologized-money-jeffrey-epstein

http://tech.mit.edu/V110/N47/lim.47n.html



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[agi] Hominization

[Secretary of Trades]

Modular robots


http://news.mit.edu/2013/simple-scheme-for-self-assembling-robots-1004

https://techxplore.com/news/2018-10-shape-shifting-modular-robot-sum.html

https://en.wikipedia.org/wiki/Self-reconfiguring_modular_robot

https://arxiv.org/abs/1802.04132


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Re: [agi] Re: Chess Board Recognizer

[Secretary of Trades]

Not chess. Try this

https://github.com/EdjeElectronics/OpenCV-Playing-Card-Detector


On 02.09.2019 00:19, Stefan Reich via AGI wrote:

Oh, thanks for trying. Does it work despite the exception?

Yeah, it compiles all its Java sources on first start-up. I should
show a better message while it's doing that. I can also ship it binary
actually, I just like the "ship source code" approach.

Subsequent starts should be reasonably fast.

On Sun, 1 Sep 2019 at 13:40, mailto:rounce...@hotmail.com>> wrote:

it took a while to setup -  is there something really big in this
thing?



--
Stefan Reich
BotCompany.de // Java-based operating systems
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Re: [agi] Re: The Dawn of AI (Machine Learning Tribes | Deep Learning | What Is Machine Learning)

[Secretary of Trades]

Botany savant :)


On 03.09.2019 17:29, keghnf...@gmail.com wrote:

 Thanks GPU you you man and John.
 I am working on my next big science paper comparing human psychology
to AGI psychology by
way of machine consciousness.

 Unsupervised learning and human psychology are still in the dark age
and can help  because i am
savant, Kim Peck class, in these areas.


Automatic Machine Learning:
https://www.youtube.com/watch?v=jn-22XyKsgo&t=13s




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Re: [agi] Re: The Dawn of AI (Machine Learning Tribes | Deep Learning | What Is Machine Learning)

[Secretary of Trades]

https://www.videoblocks.com/video/humanoid-robot-gives-flowers-to-the-pretty-girl-modern-robotic-technologies-the-future-is-now-bopfhazygjeluj01z


On 04.09.2019 04:19, keghnf...@gmail.com wrote:

 I am aware of another like you.

Crime Pays But Botany Doesn't:
https://www.youtube.com/user/westoaklandturdunit/videos

https://www.youtube.com/watch?v=V76ih7cOMKE&t=568s


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[agi] FAO: Senator Reich. Law 1

[Secretary of Trades]

Law1. What happens when to subscribers when abusing personal nouns, such
as "me", "myself" or "Irene" on the list:

https://snipboard.io/4P2sEY.jpg


|publicbooleanseeking_approval (senate){return'APPROVED';}|



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Re: [agi] FAO: Senator Reich. Law 1

[Secretary of Trades]

'History'... a buzzword only next to 'kaput'


https://groups.google.com/forum/#!topic/artificial-general-intelligence/OsVX7fPN73w



'Forwardeers' beware!

On 05.09.2019 00:52, immortal.discover...@gmail.com wrote:

Don't delete past history messages, this list is history in the
making. Careful!
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Re: [agi] FAO: Senator Reich. Law 1

[Secretary of Trades]

Thought... ahh... it was the Tin Man... taking off to re-train
californian bots


On 05.09.2019 17:24, Stefan Reich via AGI wrote:

Nobody has abused Irene on this list. Relax!

On Thu, Sep 5, 2019, 16:00 Nanograte Knowledge Technologies
mailto:nano...@live.com>> wrote:

how about the bot playing a middle-aged, "angry" researcher.
slightly overdone, wouldn't you say?


*From:* immortal.discover...@gmail.com

mailto:immortal.discover...@gmail.com>>
*Sent:* Thursday, 05 September 2019 14:12
*To:* AGI mailto:agi@agi.topicbox.com>>
*Subject:* Re: [agi] FAO: Senator Reich. Law 1
That's not helping you A.T.Murray ;)

more jibberish

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Re: [agi] FAO: Senator Reich. Law 1

[Secretary of Trades]

We support ourselves only on that which resists.

Opposition is already kicking and screaming...


"Stefan Reich" -> "Senator Reich" (or "S. Reich")



On 05.09.2019 17:24, Stefan Reich via AGI wrote:

Nobody has abused Irene on this list. Relax!

On Thu, Sep 5, 2019, 16:00 Nanograte Knowledge Technologies
mailto:nano...@live.com>> wrote:

how about the bot playing a middle-aged, "angry" researcher.
slightly overdone, wouldn't you say?


*From:* immortal.discover...@gmail.com

mailto:immortal.discover...@gmail.com>>
*Sent:* Thursday, 05 September 2019 14:12
*To:* AGI mailto:agi@agi.topicbox.com>>
*Subject:* Re: [agi] FAO: Senator Reich. Law 1
That's not helping you A.T.Murray ;)

more jibberish

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Re: [agi] FAO: Senator Reich. Law 1

[Secretary of Trades]

“In the philosophical dialect, a cynic takes an insult as a compliment
since opposition is already his style.”


On 05.09.2019 09:24, immortal.discover...@gmail.com wrote:

I have noticed someone by the name of something like AT&Murry seemed
rather strange, and Secretary of Trades also seems rather bot-like ;)

Some of the names for topics on this list are just strange lol:
"Senator Reich. Law 1"
"My Paper in AGI-19"
"Tram pilots saved"
"etc"

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[agi] To Kung Fu

[Secretary of Trades]

or CV intelligence at 100+FPS

https://davheld.github.io/GOTURN/GOTURN.pdf

Grant: Toyota (automotive)
Political unit: SAIL (academic)

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Re: [agi] Re: ConscioIntelligence, Symbol Negentropy in Communication Complexity

[Secretary of Trades]

https://www.gzeromedia.com/so-you-want-to-arm-a-proxy-group


On 18.09.2019 13:44, immortal.discover...@gmail.com wrote:

Dimension reduction > kick out some politicians > less dimensionality.
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