Google vs. Microsoft -- a fight for the
future (2015)
There are primarily three things Google and Microsoft
are fighting over. 1. Universal artificial
intelligence. 2. Human robot. 3. A perfect
timeline of Earth, capable of recording every object,
event and action for the past, present, and future,
atom-by-atom and frame-by-frame.
In
2006 I sent letters to Microsoft, Google, Apple, IBM,
Ge, Honda, GM, Ford, Boeing and all major American
companies telling them about universal artificial
intelligence. I explain in the letter that I can
help them build a software that can do any human
task. Unfortunately, I was turned down by most
companies. Some companies didn’t even bother to
respond to my letter.
After publishing my first book, called Human Level
Artificial Intelligence, I was concerned that the
technology companies would copy my work and build my
invention. This article was written in 2015. Now
that I look back at all the products and services by
Google and Microsoft I can’t help but wonder if they
infact copied my ideas or not.
Let’s look at all the products from Google for the
last 9 years.
1.
3-d street view (2008)
2.
Visual search (2009)
3.
Instant search (2010)
4.
Sound search (2010)
5.
5 sense search engine (2011)
6.
Search engine with meaning (2010)
7.
Visual search on Android phones (2010)
8.
Search engine with QandA (2011)
9.
Google glasses (???)
10.
Google timeline of past, present, and future (2012)
11.
Deep learning + reinforcement planning to play videogames (2014)
12.
Deep learning + reinforcement planning + AGI to play videogames (2015)
The most important technology from google is number 12. AGI stands for artificial general intelligence. By the way, the term artificial general intelligence is actually called human-level artificial intelligence. It provides
the robot with the ability of common sense knowledge and insight to play videogames. in 2014 deepmind was bought by
Google and the software can only play simple Atari games. Games like donkey kong or pacman are games it can't play because
these games are goal driven. For example, in pacman the software will randomly take actions and find the best linaer actions to
maximize points. However, the player doesn't get rewarded for collecting dots; it gets rewarded for eating enemies. Thus,
the software assumes the goal is to eat enemies. This causes the software to never collect all the dots on the screen. In complex games like Zelda, the software will never be able to past the game. Google
tried to solve this problem in 2015 by introducing AGI.
AGI stands for artificial general intelligence. Google wants to introduce human intelligence into the software so it can play goal driven videogames.
In the case of pacman, the software will know based on human intelligence that the goal is to collect all the dots on the screen. AGI is also
used to tell the software important information about the game like this is the player, these are the enemies, this is your life meter, your goal is to
pass every level, losing a game is pain, etc.
Number 12 technology by google has striking similarities to the invention I filed with the US patent office back in 2006. Deep learning
is just the beginning. If you look at my youtube videos on videogames, that's what google is trying to build with AGI. The term AGI should not be used because it's a recently coined term. The artificial intelligence community has been using human-level artificial intelligence for 40 years and I think
that term should be used instead.
The intentions and goals
of google in 2015 is to use this AGI on every single product they sell to the public, including their search engine, smartphones, computers, operating systems, google glasses, 3-d streetview, etc.
All
products above are technologies both Google and
Microsoft were/are competing over for the past 9
years. Unfortunately for Microsoft, Google manages
to build first and sell first. I think one of the
reasons is because Microsoft was following anti-trust
guidelines from the government and Google was
building products on the fly. Google builds products
and sells them immediately without testing or
following government regulations (by-passing
prototypes).
If
you look at the products described above, it’s
apparent to me what Google is trying to build.
Although Google’s main goal is to build a human
robot, they can’t because the technology is very
complicated. Basically what they are trying to do is
build individual parts of a human robot. Along the
way they can make products and services that they can
sell to the public (the 10 products listed above).
In
order to understand how the 10 products above relate
to my human robot, I have to explain all products one
by one. In summary, Google used ideas from my human
robot and applied it to their search engine and smart
phone technologies to make them smarter.
3-d
street view (2008)
The
first thing I talked about in my books and patent
applications is robot vision. I talk about how the
robot has to store images frame-by-frame in memory.
The images collected are organized in a 3-d
environment. The example used in my books was
learning to store a 3-d representation of a city in
the robot’s memory. In order to learn what a city
looks like, the robot has to walk around the city, in
all corners and places, to know what each street
looks like. The robot has the option of walking or
driving a car or flying a helicopter to see all parts
of the city.
After numerous encounters with streets and housing
structures, the robot’s brain will contain a 3-d map
of the city, frame-by-frame. The robot forgets
information and that is one of the techniques humans
use to remember large amounts of images from the
environment.
Why
is this 3-d map so important to the human robot?
According to my books, I stated that the robot uses
this 3-d map of the environment for logic. The
example I used was answering location questions. If
a stranger approaches the robot and ask him where the
closest library is, the robot will activate a map of
the city from memory and use this information to
answer the question.
I
was furious when I heard that Google was unveiling
3-d streetview to the public in 2008 because it had
such similarities with my description on robot
vision. For those that don’t know what 3-d
streetview is, it is a website that people go to to
view streets of cities, frame-by-frame. Instead of a
robot walking on the streets to collect street
images, Google uses a 360 camera mounted on a car.
At
this point, I told myself that 3-d streetview is just
a small part of my invention and it would take a lot
more copying before a human robot is created. Was I
in for a surprise of my life.
Visual search (2009)
In
my books and patent applications the second thing I
talked about was visual search. I was complaining
about the search engines (2006) using only computer
text to search for websites over the internet. For
example, in google you can only type in text on the
search box to look for information on the web. I
proposed a search engine that uses visual images to
look for data over the internet.
I
describe how this visual search works. First, the
user takes an image and submits it to the search
engine. The search engine breaks up the images into
objects using common sense knowledge (using human
intelligence). Next, it prioritizes the visual
objects into a hierarchical tree based on what the
user is searching for. Finally, the search engine
translate these visual objects into words and uses
these words to search for websites on the internet.
Google’s visual search is identical to the idea I
proposed in my books and patent applications. How
this technology works is also identical.
Google used the tennis example to show how their
visual search works. I use a very similar example.
The tennis example is a picture of a tennis match.
The search engine has to identify objects in the
picture using common sense knowledge. For example,
how does the search engine know that the tennis ball
is a tennis ball and not something similar, such as a
lemon. Humans can determine that the yellow ball in
the picture is a tennis ball and not a lemon.
At
this point, I was concerned because if they are
focusing on visual search then they will eventually
move on to the other human senses, such as sound,
taste, touch and smell.
Instant search (2010)
In
my books and patent applications I stated that a
human robot senses information from the environment
frame-by-frame. This is why in my first patent claim
I have a for-loop to represent the robot’s brain
updating information from the environment,
incrementally.
I
think someone from Google saw the for-loop from my
patent applications and said, “why not apply that to
a search engine”. Instead of submitting one image
for the visual search, why not submit a video; and in
each frame, the search engine updates itself.
Sound search (2010)
I
was right about Google using human 5 senses as input
for their search engine. They unveiled visual search
and now they are unveiling sound search. This search
engine is not exclusively for music. Google is
trying to input sound data in general. I guess they
want their search engine to have eyes as well as
ears.
At
this point, I assume Google wants to build a 5 sense
search engine. They forgot taste, touch, and smell.
These human senses are important because it makes
their search engine smarter.
5
sense search engine (2011)
What did I tell you?? Google, in 2011 finally told
the public that they are building a 5 sense search
engine!!!
What Google is trying to do is convert their search
engine into a human robot. Let’s say that the 5
sense search engine has instant search. This means
the search engine updates automatically every
millisecond. This search engine becomes my human
robot at this point. This 5 sense search engine
serves as the foundation for my human robot. The
only thing missing is the robot’s conscious, the
future prediction functions, and a physical human
body. As you can see later on, Google will add in
more functions to their search engine and it‘s going
to look even more similar to my human robot.
Search engine with meaning (2010)
In
my books and patent applications I talk about the
robot’s conscious and that the conscious provides
knowledge for the robot to act intelligently. One of
the things the conscious can do is provide meaning to
language. For example, in Hamlet the sentence, “more
matter and less art”, is hard to understand.
However, a human can use logic to understand what
this sentence really means. “more matter and less
art” means “get to the point”. An alternative to the
sentence is “speak facts and stop being vague”, which
means get to the point. Using intelligence, we are
able to understand the true meaning of the words in
the sentence.
Google’s search engine uses this method to generate
the true meaning to what someone is typing in the
search box. The example used by Google for search
engine with meaning is very similar to my Hamlet
example.
Search engine with Q and A (2011)
In
my books and patent applications I talk about the
robot’s conscious can do many intelligent things.
Some of these things include: doing tasks, doing
multiple simultaneous tasks, solving conflicts when
doing multiple tasks, providing meaning to language,
solving problems, generating common sense knowledge
and so forth. One thing the conscious can do is
answer questions or provide meaningful answers to
questions.
Google’s search engine with meaning provides natural
language understanding for input text from users.
Google’s QandA engine gives users’ answers to
questions. Basically, Google’s search engine is
including my robot’s conscious. With the robot’s
conscious you can build search engines that can do
human task, like predict the future or solve problems
or play videogames, etc. In other words, the search
engine can do more than just search for websites or
answer questions.
Google glasses is a significant technology that bares
resemblance to my human robot. The AI of the glasses
serves as the robot’s conscious. Whatever objects
that the user is seeing is fed into the AI and the AI
serves as the robot’s conscious. It will tell the
user important information about his environment,
such as provide important info on visual objects the
user is looking at, remind the user what he has to
do, answer questions, provide translation for foreign
words, give common sense knowledge etc,
Thus, Google glasses evolved from a simple search
engine to a human robot. All Google has to do at
this point is give the AI (google glasses) a physical
humanoid body.
Even the storage of data for Google has been modified
to the point where the way the search engine
retrieve, store and modify information is based on a
human brain (google semantic search 2012).
Universal artificial intelligence is one software
program that can do any human task. One example of
universal artificial intelligence is a fully
automated Mcdonalds. When you walk into to a fully
automated Mcdonalds, you won’t see a single human
worker. The cooks are robots, the manager is a
robot, the janitors are robots and the delivery
person is a robot. These robots work together to run
the restaurant. The universal AI can be used to
automate all restaurants, supermarkets, post offices,
malls, factories, and so forth. The AI in universal
artificial intelligence is universal and can be
applied to all businesses and human occupations
Google spent 7 years trying to build my universal
artificial intelligence. In my patent applications
and books, I talk about two ways to train a universal
artificial intelligence. One way is to use Google’s
glasses to train the UAI. Actually, in my patent
application I stated that the human trainer has to
wear a camera mounted on his forehead to get a
first-person-point of view (2007). The second way is
to build a real human robot and let the human robot
train the UAI. Google’s glasses store frame-by-frame
of what the user is looking at and hearing. However,
the perception of the human being can’t be stored.
The human wearing the glasses has to speak what he is
thinking. Also, the motor movements of the human
being can’t be stored, so programmers have to build
software to determine the movements of the human
being (the trainer).
Using Google’s glasses to train a universal
artificial intelligence has it’s limits. This is the
method I suspect Google will be using to train
industrial robots like janitors, nurses, garbage
collectors, pilots, drivers, etc. Although this
method has its limits, the second way to train the
UAI is much simple and more affective. Fortunately
for me, both methods have been proposed in my books
or patent applications.
At
this point, I’m shocked at Google and how much ideas
they took from me. If you think this is the end,
think again.
Google timeline of past, present, and future (2012)
In
2012, Google unveiled timeline. This is a software
that tries to predict past, present and future events
based on articles and info available online. The
software takes information from tweets, news
articles, emails, radio, etc, to form a timeline of
events happening in the past, present, and future.
My
copyrights and patents filed in 2008, entitled
practical time machine, basically describe a perfect
timeline of Earth. Super intelligent robots are
required to gather information and to predict past,
present, and future events. Every single object,
event and action are stored in a timeline,
frame-by-frame.
Watch google carefully in the future with their
prediction technology. They will say exactly what I
said in my books. Here’s what I said in my book:
“The AI tracks every atom, electron, and em radiation
from Earth‘s past, present, and future and stores
that information in a timeline”.
“I‘m using this timeline to solve all cases from the
FBI”
“I‘m using this timeline to disprove or prove all
religions on planet Earth”
Since this timeline of Earth records all events for
Earth’s past present and future, then events that
happened thousands of years ago are known. The
timeline stores the entire life of Jesus,
frame-by-frame and atom-by-atom. This is how we can
disprove or prove religion. Also, the timeline can
tell us who was the original author of Christianity,
if we find out that Jesus was a made up character.
I
believe Google will use Google glasses and their
electronic devices (smartphone or google car) to
create a map of the current environment and store
that information in a permanent timeline. They have
no intention of erasing any data from their database
on people, places and things. Private information
about people will be collected every nanosecond and
every action they take and what they do and where
they are will be sent to google’s timeline. By the
way, patents were filed by google on this spying
technology. They also want to build a live-feed on
3-d street view, which in my personal opinion is
clearly violating the constitution. But the stupid
government refuses to stop google. They refuse to
even set up a limited bill on internet privacy.
Google is a tyrant and a dictator. The government is
corrupted and misguided. If google wants to take
away my rights to privacy and other people’s rights
to privacy, they should do it the old fashion
way!!!!! File an amendment with the supreme courts
and let the judges decide.
Conclusion
Google and Microsoft have been competing with each
other for the past 6 years over my first invention,
universal artificial intelligence. The products
listed above basically shows that there are
similarities between google’s technology and my
inventions. I don’t believe in coincidences. After
google came out with visual search I was convinced
they took my ideas.
Remember one important point. As soon as Google
succeeds in commercially selling a universal
artificial intelligence, the US unemployment rate
goes up to 50 percent. So, whatever google is
building, everyone will be affected.
Microsoft vs. Google vs. Darpa vs. IBM vs. Apple
etc. They are all building the same damn thing,
which is a universal AI that can replace human
workers. The government agency, Darpa, is actively
funding robots. Although they haven’t specifically
stated they were after the UAI, their goal is to
build robots to replace human workers.
Corruption is the word to describe Congress. On one
hand, you got high unemployment rate, which is at 7.9
percent in 2013 and on the other hand, the government
is giving money to Darpa to fund the robot
challenge. The purpose of the robot challenge is to
build robots to replace janitors, rescue workers,
nurses, drivers, farmers and so forth. By the way,
it’s much easier to build a robot soldier to kill
people then to build a robot janitor to clean your
house.
Darpa also funded the grand challenge in 2004 to
build an autonomous car. Today, they are ready to
commercially sell their autonomous cars. Darpa works
with Google and this is what google had to say, “by
the year 2030, all cars on the streets and highways
will be fully automated”. What this statement
translate to is “all human drivers will be out of
work by 2030“. The robot challenge 2012 is the next
level, where Darpa wants to build human robots to
replace popular human jobs like nurses and janitors.
Darpa and the government keep saying that they are
building these robots to rescue people in a natural
disaster. The point is, if these robots can do
search/rescue tasks, then they can also do search and
kill tasks. As stated before, its 10 times harder to
build a robot janitor than a robot soldier.
Basically, Darpa and the government is interested in
technology to put people out of work. This
contradicts what they stated to the American people,
which is they want to put people back to work and
lower the unemployment rate. The only way to
increase manufacturing jobs is to tell factories to
stop buying automated machines from software
companies. No automated machines in factories means
employers will have to hire humans to do the work.
These idiots think that if they advance technology,
businesses will automatically generate more jobs.
This was true back in 1990, but certainly not today.
The next big thing are software to replace human
workers. Even the computer scientists who builds
these software are in danger of losing their jobs.
A
live-feed on 3-d street view, autonomous cars, and
google glasses are spying tools by google. The
government knows this because google filed patents on
their ambient environment spying technology. The
government knows that google wants to create a
timeline to store all information. And eventually
this technology will take away all privacy from
people, places and things Despite this revelation,
the government refuses to act on behalf of its
citizens to protect our rights to privacy. By law,
the live-feed 3-d street view is illegal.
I
filed copyrights and patents on 8 inventions. The
universal artificial intelligence is my first
invention. Although I don’t have concrete evidence
to state google is copying my work, I find it highly
suspicious that their products and services for the
last 6 years bear striking similarity to my universal
AI. And I know exactly what they are planning to
build, not just for the immediate future, but for
their distant future.
1.
Universal artificial intelligence
2.
Human level artificial intelligence
3.
Psychic robot
4.
Super intelligent robots
5.
Ghost machines
6
atom manipulator
7.
Practical time machine
8.
AI time machine
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