Shape of Knowledge Singularity Pyramid Knowledge Mapping Concept

1
THE SHAPE OF KNOWLEDGE
Vo Viet Anh, XPRIZE Vanguard, vovietanh@gmail.com
Abstract
This paper provides an in-depth description of the Singularity Pyramid (SP) concept for an
extensively organized online knowledge mapping system, also a futuristic version of Wikipedia
wherein each unit of knowledge is associated with a probability distribution of probabilities to
reflect the probabilistic nature of reality. Knowledge mapping wouldn't have any significance if
not for four well-defined abstract dimensions (Conceptual, Purposeful, Scopic, and “Language”)
that capture the collective body of knowledge in its entirety. With the Singularity placed at one
end of each dimension as the ultimate goal, these dimensions give you a sense of direction in
learning/creating knowledge towards that goal.
With knowledge mapping, the SP can provide Singularitarians with a bigger picture to realize the
roadmap towards the Singularity by addressing numerous problems that impede their progress—
lack of coherent knowledge structure for academic research, lack of strategic profiling, leader
discord, unawareness of long-term danger, negligence of macro-vulnerabilities, and “language”
barrier to pure knowledge. It is also a collaborative tool for planning, decision making, risk
management, and resource allocation. The “theory of weaknesses” based on the SP has the
potential to change your worldview forever.
Engineering the SP is an unprecedented and formidable task which I foresee rapid advances in
technology in the next year may fulfill. Also, the intuitive (easy to memorize, visualize, and
contribute) and functional (designed for practical use) structure of SP makes it a candidate for
the brain of the Singularity Superintelligence (SS). Note: there is no technical detail in this paper.
Keywords
Singularity, knowledge mapping, hierarchy, probability, futuristic Wikipedia, Ray Kurzweil

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I. INTRODUCTION
The model of knowledge for the SP is the result of my lifelong attempts to make sense of all
knowledge I had accumulated and stumbled upon. It is the ultimate culmination of all of my
intellectual and emotional experiences to date, the answer to all of my questions[8]
, and the tool
to solve every future problem.
Four dimensions of the SP were defined for a singular purpose of reaching the Singularity:
(1) The 1st
(Conceptual) dimension shows the conceptual hierarchy of knowledge. It places
the Singularity tentatively at the top as the goal to climb towards[11]
.
(2) The 2nd
(Purposeful) dimension draws the lines between three classes of knowledge based
on their relevance to our ultimate goal of survival. It forces you to ask yourself “What
good is this knowledge for?” when you’re about to learn something, and reminds you to
maximize resource efficiency by sticking to the Core[9]
knowledge.
(3) The 3rd
(Scopic) dimension manages groups of knowledge. It encourages you to combine
pieces of knowledge into more substantial knowledge[10]
such as sophisticated
technologies, and supply all knowledge with sufficient data and facts.
(4) The 4th
(Language) dimension presents different versions of the same knowledge. It
welcomes you to provide and translate knowledge into rawer, more machine-friendly
forms of language (than human language).
After mastering these dimensions, you will organize your thoughts and look at the world in
entirely different ways[1]
. With them, the SP seeks to address 6 mains problems:
1. Academic research: Web users can only look at one piece of knowledge at a time (at
Wikipedia or other Google search results) rather than the big picture containing that knowledge
from a single source. Personally, I grew dissatisfied with what I could find during online
research with Wikipedia[6]
and Google[7]
. It was not because there was too much knowledge on
the web but because a single coherent structure for all knowledge was nonexistent. It was easy
to get lost trying to figure out all foundations of a complex multidisciplinary knowledge (e.g.
cloud robotics) or all applications of a theory (e.g. general relativity), the highest level
conclusions of experts in a field (e.g. “silicon chip density increases can be extended into the
2020s”) or the deepest technical problems they had solved (e.g. measuring Levenshtein distance
between two strings), or which direction I should take in expanding my knowledge in order to
ultimately create new knowledge, i.e. original research or novel technology. To address this
problem, I envisioned a futuristic version of Wikipedia that surpasses conventional concepts of
all knowledge-bases[24]
in its suggestive power to make easier to navigate intellectually and come
up with something original or simply profitable.
2. Strategic profiling: There are too many credentialed people out there to decide who to listen to,
partner with, or hire. Every person is represented by a long list of achievements, companies,
publications, public profiles, questions and answers, social network status messages scattered
across multiple sources on the web, which take too long to research. On the other hand, what we
are concerned the most with when gauging someone’s skill depth, wisdom, and mindset/logic,
are (1) his deepest technical solutions, (2) highest level conclusions, and (3) how he jumped from
assumptions to conclusions (in an extreme case, Deepak Chopra’s logic was so flawed he made
long shots to inane conclusions outside of his fields). By treating each user as an object on the 3rd

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dimension (together with other group objects such as disciplines) comprised of pointers to all
pieces of knowledge he has created, endorsed, or learned, and connections he has drawn between
these pieces, the SP allows each user to maintain a singular profile on the web including the
most meaningful insights about that person’s mind—basically what matters most to find or be
found by like-minded partners, employers, or benefactors.
3. Leader discord: It’s very common to find experts in the same field with glaringly contrasting
positions[18]
and there’s no way to verify their conclusions in order to decide which one is
correct1
. For example, Dr. Kurzweil complained in [Kurzweil 2012] about Paul Allen’s lack of
point-to-point critique that preluded any constructive argument. In my experience, I often
encountered intellectual leaders who were apparently smart and experts in their respective fields
but somehow naïve or even ignorant regarding worldly matters[22]
. Some were too clouded by
their ego and emotion to reason beyond their jelled assumptions, to unlearn and relearn. A
constant question in my mind was “What exactly made this person think that? Does he know a
crucial piece of knowledge that may change my mind, or simply have ridiculous DC-esque
logic? Where is he stuck?” Since then, I had been thinking of a platform to help mitigate bias and
close the gap between subjectivity and objectivity[2]
—where they can exhaustively trace their
current positions back to assumptions that constitute their fundamental differences, in order to
together reason beyond these differences and reach a consensus.
4. Unawareness of danger: A level of awareness high enough to perceive existential risks
requires a high amount of the right knowledge. Since any knowledge has a price-tag, there is just
not enough resource to pursue all kinds of knowledge. However, only a limited number of people
at this level of awareness (e.g. those at CSER2
and FLI3
) are concentrating their resources on
acquiring the core body of scientific and technological knowledge that may help us avert these
risks, while the majority of the world (even smart people) is ignorantly squandering resources
(including their brainpower) on knowledge that doesn’t directly translate to our long-term
survival4
. A series of frustration had led me to the conception of the SP: When I became
conscious of climate change and other environmental issues, my peers in university hadn’t, so I
joined the environmental movement alone. When I became conscious of the limitations of purely
environmental solutions and approaches, my fellow activists and scientists hadn’t, so I pursued
multidisciplinary knowledge alone. When I became conscious of the problems beyond
technology that hindered our progress towards the Singularity, Singularitarians didn’t seem to
heed, so I’m writing this.
5. Negligence of weaknesses: Everyone in the computer sciences knows how much damage bugs
or deep-level technical vulnerabilities may cause to rapidly expanding information systems.
However, very few are aware of how much threat larger scale vulnerabilities may pose to our
survival against the odds of existential risks from the exponential technological revolution and
Nature, which may affect our Singularity timeline. To ensure our survival and the Singularity
timeline, we must be able to identify vulnerabilities (called “weaknesses” in this paper) from the
smallest to the largest scale—every bit and piece of information we miss, any possibility we fail
to take into account in our plan/theory/algorithm (global weaknesses), or any failure to
1
http://www.iflscience.com/health-and-medicine/how-reliable-are-tv-doctors
2
Centre For The Study of Existential Risk http://cser.org/about/who-we-are/
3
The Future of Life Institute http://thefutureoflife.org/who/
4
Having a bunch of best thinkers become lawyers is waste of human capital http://qr.ae/qW6rp

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acknowledge and insulate our own biological limitations, and the very population of people that
carry such weaknesses (local weaknesses). With a knowledge map, it would be possible to circle
where weaknesses might be most damaging if exploited in order to contain them with layers of
high-level security plan, or concentrate resources to eliminate them once and for all.
6. Language barrier: Wikipedia is written in the most human-friendly language—human
language, which is not optimal for knowledge representation. IBM’s Watson and most AIs have
to derive knowledge through crawling and parsing countless data in this language, which might
take too long to achieve human-level intelligence. So, why is there no Wikipedia for AIs, written
in more machine-friendly languages? Humans expect machines to understand them and yet so
few (only programmers) can make their thoughts clear-cut enough to be understood. There are
coding crowdsourcing websites such as Stack Overflow, TopCoder, and Kaggle but their
solutions are disconnected and limited to very deep technical solutions, while there is an
enormous amount of high-level knowledge that can be translated to more machine-friendly
languages by just anyone (not just programmers). If there is platform to crowdsource systematic
codification of hierarchical knowledge, we can accelerate machine learning, all while teaching
users algorithmic thinking to form more logical thoughts and rigorously define actionable high-
level knowledge, e.g. an algorithm to allocate resources and determine actions taken against
specific populations within a time frame that guarantees existential risks lower than a threshold.
The 4th
dimension of the SP is a future project to upgrade the SP into such a platform.
At first, this model had many names—the Pyramid of Knowledge, Symmetry, Wisdom, to name
a few. In 2012, I learned about the Technological Singularity and realized that this model could
become a powerful tool to achieve it faster, if not in time. Hence the name Singularity Pyramid
to align my goal with the Singularitarian community’s.

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The SP’s knowledge mapping system offers a wide range of applications in everyday, profit-
driven, or high-level activities[12]
.
Compared to Wikipedia, the SP also takes time to crowdsource knowledge, but it is more
functional and thus promises benefits for contributors and ROI[16]
for investors.
Table of Content
II. The rooms 5
III. The 1st
dimension 6
IV. The 2nd
dimension 8
V. The 3rd
dimension 11
VI. Secondary dimensions 13
VII. Terminology and abbreviation 14
VIII. Building the pyramid 15
IX. Application 20
X. Theory of weaknesses 21
XI. My next step 24
XII. Interpretation and notes 25
XIII. Example 32
XIV. Reference 43
XV. Vitae 44
XVI. Dark 44
II. THE ROOMS
A unit of knowledge mapped on the SP is not limited to academic knowledge but refers to the
broadest possible definition of knowledge—anything that can be known, which is as infinite as
the universe. It can be anything conceivable: a qubit, a datum, a fact, an opinion, a citation, an
object, an idea, an action, a thought, an event, a phenomenon, a theory, a plan, a conspiracy, or
virtually any information to predict exactly anything that may happen the next moment, etc.
Metaphorically speaking, the SP is a structure with countless rooms on each floor, each room
representing a unit of knowledge. False knowledge doesn’t exist on the SP, e.g. “the US
government is run by lizard men,” but can be brought onto the SP through factualization, e.g.

6
“Barack Obama said the US government is run by lizard men.” Lit rooms are acquired
knowledge, and dark rooms uncharted knowledge. Once a room is lit, it’s globally lit, but locally
dark to those who haven’t lit it. Since human knowledge is built mostly bottom up, the top of the
SP is dark to almost everyone.
When you try to discover new knowledge, you launch yourself into the dark. Then you either
land into a dark room (come up with something right) or outside of the SP (come up with
something wrong). If the room you land into is globally dark (a discovery), you’re free to
command benefit from it, and choose to let it be globally or locally lit. But if that room is locally
dark (a secret), which means someone has been there before, you may be pushed out of the SP to
death. For insights into the dark top of the Pyramid, please refer to the Dark section after going
through this whole paper.
Each room is associated with a probability distribution of probability values, which indicates the
percentage of users who have rated each probability value. I decided to use the probability
distribution of probabilities because it reflects the probabilistic nature of reality, tells you more
information than a probability[47]
, and is the closest expression to a wave function, which has
later implications for the SP.
III. THE 1ST
DIMENSION
It all started when I realized an apparent hierarchy between the conscious levels of a naïve
physicist and a wise politician (both are smart). What did the physicist know? Complex technical
concepts in physics and engineering. What did the politician know? Economic insights and
political secrets. What was perceived at the level of the latter’s understanding (e.g. the unified
axis of government and corporate power) might supersede the effects of both the former’s works
in physics and the very physical systems the former was studying or building (e.g. by slashing
state funding to his research). Conversely, a breakthrough in the former’s field (e.g. E=mc2
,
atomic bomb; hydraulic franking; any disruptive/transformational technology such as
biomanufacturing, mass production Kill Bot, robotic soldier, directed-energy weapon, and
portable fusion reactor) might turn the whole political system that the later knew upside down.
Thus they seemed to be situated at two extremities of equal importance. If the physicist was
“deep,” then the politician should be “high.”
This hierarchy reappeared during my academic research when I realized that biological processes
emerge from chemical reactions, which can be derived from physical laws, which are described
and predicted by mathematical models, which are deduced from logics and founded on proofs,
which can be traced back to self-evident or assumed statements known as axioms. Economic
activities, political policies, and life principles are all based on these academic concepts to some
degree, albeit unfathomably remotely. In this hierarchy of concepts, one is founded upon others.
This is basically the same hierarchy of the brain’s pattern recognition modules described in
[Kurzweil 2012] as functional units to recognize components of human languages—from
phonemes down to frequency bands of sound (perceived as pitches), up to words, phrases,
sentences, contexts, to abstractions such as attractiveness, irony, happiness, frustration, envy,
sarcasm, humor, nuance, metaphors, similes, implications, secret code, and so on.

7
Therefore, I have unified these compatible hierarchies into the 1st
(Conceptual) dimension. It’s
worth pointing out that we humans do not start at the top digging down or at the bottom climbing
up. We are “born into the knowledge” somewhere in the middle of the SP, where I call the Free-
lunch Zone[21]
, before embarking in two opposite directions simultaneously. The knowledge in
this Zone is the easiest for humans to acquire, and thus can be described as either Low or
Shallow. From the bottom to the top of the SP, the relative position of a room can be described in
order as Deep, Shallow, Low, and High.
Most of the time when someone asked me “Are you in deep thoughts?” I usually responded “No,
I’m in High thoughts.”
Skip to The 2nd
dimension[32]
Basic rules
1. Higher rooms are founded upon Lower rooms. A Lower room would prop up (be part
of/produce a subset of solutions of/contribute to/prove/deduce) a Higher room, while the Higher
room could backprop (predict/contain/incorporate/dictate) a Lower room. The direct relationship
between a pair of rooms is either a prop or backprop, which indicates their relative position along
the 1st
dimension. For example, computing technologies for a speed of 1019
cps and
nondestructive brain scanning technologies are required props for the “mind uploading”
technology; advanced technologies in propellant, engine, materials, design, pilot safety, tires,
sensors, space, etc. are required to prop the blueprint of a recyclable private space aircraft.
2. Between two rooms with no direct relationship on different floors, the Higher room often
supersede/happens regardless of the Lower room, while the Lower room makes happen/possible
the concept of the Higher room[37]
.
3. A Higher room must be built upon Lower rooms. However, in fact, Nature has gotten ahead of
humans since the birth of Earth and lit High rooms long before we could reach them
methodologically bottom-up. These “Hints” provide suboptimal but effective solutions from
which principles to develop optimal solutions can be derived[53]
. Taking advantages of Hints thus
accelerates humans’ exploration of knowledge. Reverse-engineering the brain to model its
interactions at the molecular level (or even quantum level) and search for the “secrets of the
human brain” is a prime example of acquiring Hints.
4. Rooms from High to Deep correspond to a decreasing level of generalization, abstraction,
“simplification”[27]
; an increasing level of specialization, specificity, precision[26]
. For example,
there are many theories for the brain with resolutions ranging from the whole cortex (High), to
modules consisting of neurons, to neurons, to very detailed level of molecules in a neuron, to the
quantum phenomena in the brain (Deep).
5. Rooms from Low to High and from Shallow to Deep correspond to increasing difficulty and
level of energy. A higher “level of energy” means either more energy/matter (higher number of
molecules studied, higher temperature, or higher speed), more energy density (e.g. from a white
dwarf to a neutron star to a black hole), or more energy/time/resource/brainpower consumption.
In fact, the upper limit energies of particle colliders dictate whatever final resolution humans are
able to deliver in terms of experimental results. Every time the Large Hadron Collider raises its

8
energy limit, a barrage of discoveries will follow, with Theory of Everything as the likely final
destination.
6. The Higher room A is to room B, the more probable it is that room A can supersede/obsolete
room B[52]
. There are two notable degrees of High-ness:
[37]
a) Paradigm-High: Room A is paradigm-Higher than room B if they have no direct
relationship but room A still supersede/obsolete room B. For example, technological paradigms
were characterized by these technologies—electromechanical computers, relays, vacuum tubes,
transistors, integrated circuits—and next comes the self-configuring 3D molecular circuits (and
then my speculated nonlocal circuits). In another example, Israel Intel shifted the computer chip
paradigms twice when upgrading the 486 chips to Pentium M chips, and then to Core 2 Duo
chips. Previous technologies don’t direct prop later technologies which are smaller, faster,
cheaper, more efficient, and based on whole classes of Deeper concepts (e.g. quantum
entanglement), but they made POSSIBLE the conception of the next paradigms’ technologies.
For example, without transistors to run a transitional generation of computers and create a wide
range of tools to build tools, humans could never have invented integrated circuits.
(b) Meta-High: Normally a Higher room A can supersede room B, but not for 100% of all
possibilities. It may reach 100% (meta-High) only if room A COMPLETELY contains room
B[59]
. A High physical theory may apply to a highly energetic system, but a meta-High one
should apply to all systems with lower energy levels. In life, a High dictator can dictate a Low
farmer but there’s a small chance the farmer can backstab the dictator, unless the dictator is High
enough to predict and counter ALL possibilities regarding the farmer’s actions (including his
interactions with the environment). This has profound implications in the theory of
weaknesses[63]
.
7. Deepest rooms are the foundations for Highest rooms. A commonly observed phenomenon—
and also a knowledge acquisition strategy—is the bouncing between the Deep and the High[36]
.,
which means discovery of High knowledge would enable discovery of Deep knowledge, and
vice versa, and so on.
8. A High theory is a Symmetry of one or many approximation theories (Approxes) if that theory
unifies all the Approxes[54]
. For example, M-theory is a theory in physics that unifies all
consistent versions of superstring theory, which arise as special limiting cases of M-theory.
For further understanding, please refer to an incomplete list of related topics on the 1st
(Conceptual) dimension5
.
[32]
IV. THE 2nd
DIMENSION
“You are too SOFT” was what my best friend told me whenever I immersed myself in romantic
literature, popular fiction, songwriting, poem, fashion6
, learned dancing, basketball, pick-up lines,
love songs, watched dramas, football, etc. just to impress and conquer the girls who had such
5
Related topics on the 1st
(Conceptual) dimension http://qr.ae/qWJCq
6
Almost everything to know about wearing suits http://qr.ae/q9UQn

9
interests. He didn’t say so to make me less human. He said so because he knew me so well, that
such activities would largely not serve my purposes in life, distract me and waste my time.
But what if my actions HAD purposes? What if I KNEW that those girls were either very rich or
somehow a specific link in my grand plan? What if I lived my life only to please everyone and
do everything needed (even laugh and cry) for the sole purpose of long-to-infinite-term survival
and evolution? That reminds me of the notion of HARD scientists, who are the practical and not
concerned with whether the Singularity is near or not, an AI is “strong” or “weak,” or what the
heck “consciousness” is.
So, can I be even Harder? What if I could invent all Deep mathematics, all High theories and
algorithms, build a machine to run them, dominate the world, and then merge with that machine,
survive cosmic catastrophes, exponentially evolve, and eventually dominate the universe
(absorbing all matter and energy and know everything that can be known in this universe and all
parallel universes if there be). If that happened, then at some point, there would be no distinction
between me and the machine—no human touch. That’d be beyond Hard—SUPER HARD, which
reverberates the concept of the Singularity Superintelligence.
Therefore, I have divided the 2nd
dimension into three levels of purposefulness—a Soft shell, a
Hard shell, and a Super-Hard (S-Hard) Core. It’s not meaningful to divide any further.
Skip to The 3rd
dimension[33]
Basic concepts
Soft Hard S-Hard
Knowledge for the sake of
psychologically keeping humans
alive by enriching our mental life
and allowing “meaningful”
human interactions7
deriving S-Hard
knowledge
survival and evolution
Limitless knowledge created by
humans but not contradicting
Hard and S-Hard knowledge
Minimum amount of
knowledge for humans to
achieve Singularity
Minimum amount of
knowledge for a computer to
achieve Singularity
The practically limitless realm of
knowledge inherent to humans;
basically a collective body of
virtually any possible random
knowledge[51]
which humans who
can see beauty in every trivial
detail would create if given
unlimited lifespan, time, and
All knowledge a machine
needs in the context of
human existence, to serve
humans, pass the Turing
test, act like a human, gain
humans’ trust, so that
humans can help the
machine become even
All knowledge that a machine
needs to survive, evolve in any
environment, “maximize the
diversity of possible futures”8
or simply “dominate the
universe”
7
Why do people care about and remember all imaginary details http://qr.ae/qWJCN
8
http://www.ted.com/talks/alex_wissner_gross_a_new_equation_for_intelligence

10
resources; appeal to humans
senses; including every single
slightly different piece of creative
work
smarter, until the machine
can take over the process
of improving itself
Has human touch No human touch
For mental survival For physical survival
Examples of Soft knowledge vs. Hard knowledge:
Photography vs. imaging, love vs. brain on love, winning Olympic
Gold medal vs. sports, fine dining vs. nutrition, fashion vs. armor,
sex vs. cloning, makeup vs. cognitive augmentation, music
composing vs. sound engineering, virtual sex vs. virtual doctor, slice
of life vs. science fiction, leisure chatbot vs. expert system, emotional
robots[68]
vs. security robots, contemporary art vs. classical art,
recreational drugs vs. medicine, recreational mathematics vs.
competitive programming, graphic-intensive video games vs.
classical strategy games (scrabble, chess, backgammon, Go, Bridge),
Victoria’s Secret diamond-laced bra vs. diamond drill.
Knowledge that any
species would need to
survive, without any
regard to human: logic,
mathematics, algorithms,
physics, chemistry,
robotics, AI, energy,
weapon, transportation,
rocket, metamaterials,
computation, etc.
Soft climbing: the act of acquiring
Higher and Higher Soft knowledge.
Pros: humans believe that they can
discover grains of wisdom in epic
fantasy novels, technological
inspirations in science fiction, the
universe’s mysteries while
traveling the world, or Nature’s
laws in this paper.
Cons: knowledge acquired is low-
prob, incomprehensible to AIs.
Hard climbing: the act of of acquiring Higher and Higher
Hard/S-Hard knowledge, including two processes:
(1) Fast top-down process of acquiring Hard knowledge
thanks to a large amount of Hints provided by Nature[69]
.
S-Hard knowledge is then derived from Hard knowledge.
(2) Slow bottom-up process of acquiring S-Hard
knowledge (mostly in logic, mathematics, physics, and
engineering), analogous to a walk into the darkness
because of a low amount of Hints and insufficiently
resource allocation (i.e. time, capital, material, brainpower)
due to “Soft drifting.”
Soft drifting: the
tendency and preference
of humans to acquire
Soft knowledge.
Reasons: the majority of
the world is enjoying
peace and resource
abundance; Hard
climbing is boring,
difficult, and risky (i.e.
invest too much time and
Hard rushing: is accelerated Hard climbing under extraordinary
circumstances. Normally people acquire knowledge in all directions.
Only in extreme/life-or-death situations such as war9
or a startup
under resource constraints10
would the human instinct remind us of
the ultimate Hint on top of the SP—“I must survive.”
At such times, humans did everything it took with their health and
life at stake to survive, namely taking the direct course up the Core,
and consistently achieved paradigm-High breakthroughs[30]
, which
are later adapted for a wide range of civil (Soft/Hard) uses, e.g.
chemotherapies are offshoots of chemical-warfare agents.
9
http://www.spacenews.com/article/opinion/37245end-of-wwii-model-shakes-up-aerospace-industry
10
SpaceX on the verge of failure http://qr.ae/qW30W

11
money in the wrong
idea); Soft learners are
driven by joy, happiness,
and freedom.
Driven by instinct, fear and hope. Often resulted in casualties.
Consumed less physical resources and time but more human
resources (human sacrifice) because in war smart people on both
sides died. If during peace time academics may undertake researches
in all kinds of directions, during wartime they all had to focus mostly
on physics and engineering.
Soft appeal: Anything Soft always appeals more to
humans because our biological systems are not
optimized for continuous Hard-working. Imaginative
technologies and science in sci-fi/superhero
novels/movies11
are more enjoyable to kids and
humans in general12
. Soft things activate our brains’
reward system, trigger positive emotions, signaling
that there’s no resource constraint endangering our
existence, making us forget all purposes. Honestly, if
I had been born in a rich family with enough money
to learn anything I ever wanted, I doubt I would be
writing this paper right now.
Hard-hitting: When a technology has
touched the boundary between Hard and
Soft then any further development would
only make the technology less efficient
due to the presence of paradigm-Higher
technologies. Whenever this happens,
humans have officially advanced into the
next technological paradigm. Any further
development of older technologies would
be for aesthetic purposes (e.g.
steampunk, antiques, and pixel art) or
other irrational human reasons.
Rooms from S-Hard to Soft correspond to an increasing disorder/entropy (rooms with minor
differences become increasingly undistinguishable), an increasing redundancy (vast amount of
variations of the same knowledge), a decreasing “density” (more dark rooms as a result of
redundancy), and a decreasing resource-efficiency.
The purposefulness of Soft and Hard knowledge can be subjective (varies from person to person)
and constantly changing (depending on the context including resource availability). An otherwise
Soft knowledge such as fashion knowledge may become Hard when you need it to approach a
powerful person who is a fashionista. However, if there’s not enough time for Soft knowledge,
you might have to utilize your Hard knowledge to kidnap that person and force him to do what
you want, all while taking huge risks.
In times of resource crises or foreseeable disasters, humans would automatically focus on
Hard/S-Hard knowledge for survival’s sake. However, in most cases, the majority of the world
wouldn’t reach the Conceptual level High enough to realize the crises or disasters they are facing
and fail to act accordingly. Despite the seemingly more important nature of Hard/S-Hard
knowledge, given the current mental state of humans, it is necessary to pursue all three kinds of
knowledge simultaneously[43]
. For more examples, please refer to the Example section[39]
.
11
http://www.wired.com/2014/11/can-hulk-lift-thors-hammer/
12
DARPA’s project to teach STEM https://www.topcoder.com/case-studies/darpa/

12
[33]
V. THE 3rd
DIMENSION
The Scopic dimension is the easiest to understand because it only tells you which groups a room
belongs to, for example arithmetic belongs to mathematics. For simplicity, it is like a supply
chain—raw numerical data supply facts; these data and facts supply disciplinary knowledge,
which in turn supplies all kinds of group objects such as disciplines, technologies, and users’
Pyrofiles.
We adopt both a fixed disciplinary taxonomy (each group called taxon, plural taxa, has a well-
defined taxonomic rank) represented by a Taxonomic Tree, and user-generated arbitrary
groupings (each group called scopon, plural scopa, has a floating Scopic rank) represented by a
Scopic Tree. A scopon may contain taxa but not vice versa. The Scopic rank of a scopon
indicates its relative scope/scale/size (the number of rooms it contains) and the highest rank of
the scopa it contains. The hierarchy in this dimension is very simple—higher ranked scopa
contain lower ranked scopa. The first four ranks—(1) data[41]
, (2) facts, (3) disciplinary
knowledge, and (4) disciplines—are fixed while higher ranks float.
Rank-1 rooms (data) are stored in form of a description text, coupled with numbers, arrays,
matrixes or other mathematical constructs. Rank-2 rooms (facts) are stored in form of free texts,
photos, videos, blueprints, or other forms of media. Rank-3 rooms (disciplinary knowledge) are
stored in form of free text and LaTeX. Future development of the 4th
(Language) dimension will
host other versions of these rooms in rawer, machine-friendly languages.
Each room is linked to and fro only one node on the Taxonomic Tree, but can be linked to and
fro many nodes on the Scopic Tree. Each node on either tree stores (1) a free text, (2) a pointer to
a definition room (e.g. “Physics” room which stores a broad definition of physics), and (3)
pointers to all grouped rooms (e.g. all physics-related knowledge). Each node on the Scopic Tree
can be a technology, an academic paper, a solution to a problem, a submission to a competition,
etc. linked to all of its related knowledge. For example, a “2018 Bomber” Scopic node links to
and fro a description text and all scientific knowledge employed in the Bomber such as
metamaterials, explosives, and computational algorithms. Philosophy and religion are two
interesting group objects13
.
The purpose of this dimension is to encourage users to (1) group distant knowledge to create new
(and Higher) knowledge[40]
or identify problems in one field that have solution in another field
(e.g. by running a search for rooms that share a majority of props from data and facts), and (2)
support existing knowledge and facts with numerical data in order to calibrate their probabilities.
In other words, by mapping all knowledge on the SP, we can (1) systematically explore all of the
overlapping boundaries between our exponentially expanding frontiers of knowledge, and (2)
hook up experts in different industries, enable them to look beyond just their narrow discipline,
juxtapose their knowledge next to each other, and identify the same concepts being described in
different terminology. This is important because one (sub)-field may have actually solved a
problem that another (sub)-field14
was attempting to solve but it is not realized because these
fields use different terminology. Similar processes are known in mathematics as “abstraction”[42]
.
13
http://spyramid.quora.com/Philosophy-and-religion
14
Problems in one field solved by solutions in another field http://qr.ae/q9BMK

13
VI. SECONDARY DIMENSIONS
Knowledge bases employ only ontology and/or taxonomy; Kurzweil’s hierarchical model of
mind has only a Conceptual dimension; none gives you a sense of direction. Never before have
the vague concepts of knowledge dimensions been redefined, refined and put together into a
single coherent picture like the SP. Yet, I still want to make this picture more complete. There
are some dimensions I want to add to or combine with the three primary ones—the 4th
(Language) dimension, the 5th
(Technical) dimension, the 6th
(Applied) dimension, which are all
slightly parallel to the 1st
and 2nd
dimensions.
1. The Language dimension:
[73]
With this dimension, I want to introduce a completely new notion of “language”: If human
language is a collective of languages humans use to communicate with each other, then a
molecular language should be a language molecules use to communicate with each other.
Examples of languages in order of decreasing human-friendliness are human language (between
humans), programming language (between humans and machines), machine language (the lowest
level programming language with op codes and operand numbers), electronic/digital/binary
language (between electrons and electronic components), neuronal/electrochemical language
(“language of though” between neurons or the hypothetical neocortical patterns[45]
),
DNA/molecular language (between molecules), and the futuristic computronium/quantum
language (between computronium)[44]
.
Languages can exist in any arbitrary form depending on the structure and substrate of the
communicating entities. For example, whenever a genetic algorithm (GA) successfully generates
a set of parameters which constitute a solution that can magically solve all problems at hand
perfectly (e.g. speech recognition), these parameters embody High and Deep knowledge in an
entirely new language, which is incomprehensible to humans, has to be studied to translate into
whatever secrets they are holding regarding perfect speech recognition. The number and physical
relationships of these parameters are dependent of the substrate of the hardware. As exotic
computing architecture with smaller substrates or substrates with more accessible states become
available, down to a maximum at quantum level, rawer forms of language will be invented by the
GA, embodying Higher and Deeper knowledge acquired through the interaction between the
machine and its environment. Eventually, following this pattern, the SS will invent the rawest
possible form of language that only it can understand.
When this dimension is introduced, users will be compelled to translate knowledge into more
machine-friendly languages (programming code, pseudo-code, or mathematical symbols) and, in
that process, identify inconsistencies in their own thinking. With this dimension, I also want to
raise an issue that humans’ instinctual attachment to human language might turn out to be a
barrier to pure knowledge or “true understanding” of knowledge, which is largely formless and
not intuitive. In fact, my neurons have their own language that only they can understand.
Evidently, even though my ideas for the SP are so fluid in my mind, I’m having a hard time
trying to put them down in this paper.
2. The Insightful-Technical dimension: is important for new learners who want to start learning
the most readable, insightful texts of a concept before diving into less comprehensible, more

14
technical details. When studying a theory, you will be able to choose between reading texts
explaining it in an insightful manner and those explaining it in technical details.
3. The Theoretical-Applied (or Global-Local) dimension: Knowledge should also be arranged
according to the degree of relevance to the environment of the users.
4. Correlation with the 1st
and 2nd
dimensions: The closer to the Core and the bottom, the more
disciplines become more computational (e.g. computational social sciences), more quantitative,
Deeper, more universal or “global,” harder to express in human language and easier to express in
rawer languages.
Skip to Building the Pyramid[65]
VII. TERMINOLOGY AND ABBREVIATION
1. Dimension: can be understood as one of the three axes of the triaxial spectrum of knowledge
in the SP.
2. Room: a unit of knowledge, which can be anything that can be known—a qubit, a datum, a
fact, an opinion, a citation, an object, an idea, an action, a thought, an event, a phenomenon, a
theory, a plan, a conspiracy, or virtually any information to predict exactly anything that may
happen the next moment, etc.
3. Low-prob and high-prob: short for low probability (<70%) and high probability (>=70%).
4. Conceptual floor or floor: a level in the 1st
dimension.
5. Hard shell and Soft shell: two outermost levels in the 2nd
dimension.
6. [9]
Super-Hard Core, S-Hard Core or Core: the innermost level in the 2nd
dimension. The Core
is not called the “Core” for nothing. It’s filled up with the least possible amount of knowledge
required to reach the top. In other words, it’s the shortest path to the top.
7. Scope rank or rank: a level in the 3rd
dimension.
8. SP: Singularity Pyramid.
9. SS: Singularity Superintelligence.
10. Hints: provide suboptimal yet effective solutions (e.g. brain-inspired computer architecture)
from which principles to develop optimal solutions can be derived. Fields that study or take
advantage of Hints include biomimetics, bionics, swarm technologies and communications, bio-
inspired computing, human-inspired Big Data Access Strategies, etc.
11. Insight: a High, usually low-prob, room lit based on a large amount of Low rooms. In other
words, an Insight is a loosely founded speculative knowledge which, if turning out to be correct,
can be refined and developed into a complete theory. Very smart people have a propensity for

15
very High low-prob fringe scientific theory15
. Insights and Hints together often led to very
popular but scientifically unfounded theories and concepts, e.g. Feng Shui, Chakra, Ki, Yin Yang,
Chinese/papal/shamanic exoteric knowledge, parapsychology, and alternative medicine.
12.[3]
Consciousness: is defined, in this paper, as the brain’s equivalent of a computer’s random
access memory. It doesn’t colloquially refer to self-consciousness, metacognition, the ability to
think about one’s own thinking or other misleading, unfounded, and pseudoscientific notions of
“consciousness.” Knowing how oft-abused the word “consciousness” is, please strip your mind
of all definitions you have ever come across until now.
13. A person’s consciousness: a subset of one’s own knowledge (as humans cannot recall
everything we know at once and that’s why we often make the same mistakes all over gain);
one’s perspective is a chosen subset of her consciousness (e.g. “Let’s take a perspective of a
mathematician and then that of a computer scientist to approach this problem.”).
14. Conscious level: is the level of the Highest room of a person’s consciousness. A High person
is someone with relatively High conscious level.
15. Symmetry: a High theory that unifies several approximation theories (Approxes).
16. Approx (short of approximation): is one of the approximation theories of a Symmetry, often
a theory that is only accurate and useful within certain boundaries. For example, the Albert-and-
Rex model of the brain16
is a fun inspirational read (the most upvoted Quora post) and can be
somehow applied in everyday activities until you can acquire a degree in neuroscience to
develop more accurate theories.
17. Cred (short for credentials): indicates the weight of a user’s rating for a taxon. A High cred in
one field doesn’t correspond to a High cred in another field. High-profile people may have
credentials in certain areas but not in other areas. For example, Deepak Chopra can have a great
voice in heart surgery matters, but be banned from any conference on philosophy or physics.
18. Logic-set: If you prospective employers/lovers check out your Pyrofile, they will be most
concerned with not only your Highest and Deepest rooms but how you connect rooms. Each
prop/backprop you draw between rooms reflects your unique logic. In the future, one’s logic-set
(in form of a webgraph) may matter much more than one’s “mindset” or skillset.
19. Mini-SP with respect to room A: is a subset of the SP with room A as its local top. It includes
all rooms upon which the top is founded.
[65]
VIII. BUILDING THE PYRAMID
Guidelines
[Suh 2009] has observed that Wikipedia growth has essentially plateaued, hence unsolicited
contributions from human volunteers may yield a limited amount of knowledge going forward.
15
https://www.quora.com/What-is-it-like-to-have-an-extremely-high-IQ/answers/8485223
16
http://www.quora.com/How-do-I-get-over-my-bad-habit-of-procrastinating/answer/Oliver-Emberton

16
However, I believe that such a limit was largely attributable to the two words “unsolicited” and
“volunteer.” What if we present contributors with a mission and benefits? It’d be very likely that
we can harness the full human potential.
The Mission is to push the frontiers of knowledge towards the Singularity in each dimension;
benefits are the SP’s applications, along with access to crowdsourced and licensed tools, e.g.
suggestions of prop/backprop as you type/click on a room, and analytic/predictive tools
described later in this paper. I wish we could rely on machine learning to rush up the Core but
have to admit that we still don’t have what it takes go full S-Hard and thus still have to depend
much on human curation.
The SP’s initial objective is NOT to amass information (like most knowledge bases did) but to
encourage people to first post their Insights[46]
(assumptions, “pearls of wisdom”) and then
exhaustively and logically validate them (the way most people in logical professions such
lawyers, scientists, and engineers do on a regular basis) by gathering all information and
knowledge to support them. That way, they will light all the rooms they have skipped on their
way rushing up, in order to get rid of unfounded thoughts, make unexpected discoveries, expand
their Insights into full theories, and create a strong foundation to go even Higher than where they
are standing.
[2]
Most people don't have the resolution to verify their own assumptions, which are usually High
Insights derived from disparate memories throughout their life and suddenly put together
precariously through a mysterious process inside your brain often called the “intuition.” It's
troublesome to dig out the specific memories that led to these assumptions. Even when they have
successfully dug them out, these memories may turn out to be so remotely/vaguely connected to
the assumptions at hand that they would feel too embarrassed to admit. It’s important to
overcome this mental inertia in order to accelerate towards the Singularity.
Skip to Application[48]
Data types and visualization
The main information in each room is stored in form of free text (for the most part of the SP),
mathematical symbols, programming code and, in the future, other data types to accommodate
even rawer languages which I have not imagined yet. In addition, each room is associated with a
probability distribution of integer probabilities and a representative probability in percentage.
Since the SP’s focus is different from that of most knowledge bases (Wikipedia, Freebase,
Knowledge Grapth, DBpedia, Knowledge Vault, etc.), facts such as Obama’s birthplace, music
albums, or anything not in English are the LEAST of our concern. Rooms on rank 1 and 2 (data
and facts) should be filled up with mostly statistics, measurements, or free texts describing
events, e.g. “On December 21, 2012, Barack Obama walked into a bar.”
The initial value of each room’s probability needs to be set by deep evidence-based probability
rating algorithms, with reference to Watson’s Deep Q&A. This initial rating is multiplied with a
cred of 100% in the equation of the room’s representative probability, which at first will
overshadow most users’ ratings.

17
A data visualization tool can be built with Three.js, a comprehensive WebGL library. Only three
primary dimensions are visualized in form of a 3D pyramid. The user interface (which resembles
Google Earth) includes basic operations like add, edit, remove, prop, backprop, endorse, suggest
edit, search, etc. on the top and advanced, licensed analytic/predictive tools at the bottom. Rooms
can be opened in multiple resizable, movable windows for reading or editing.
Human involvement
1. Question attachment: Users can attach questions or links to questions at Q&A sites, such as
Quora and Stack Overflow, to and fro a room in order to facilitate knowledge validation (down),
exploration of same-level knowledge (horizontal), to development of Higher theories (up)[4]
. For
example, lists of unsolved problems in mathematics17
and computer science18
represent locked
doors to access the Deepest floors (and, next, the Highest floors).
2. Conflict flagging: For each theories/facts/events, there always exist several conflicting
counterparts. By flagging these rooms in conflict, we can draw other users’ attention to resolve
the conflict, by proving that most, if not all, of them are low-prob, or by coming up with a
unifying theory/Insight if all of them are high-prob. Dr. Kurzweil did it too[49]
.
3. SP backup: Only one state of the SP needs to be backed up because users can add or adjust
content but cannot remove anything. If you think a room has something wrong, repost that room
with the wrong thing omitted and suggest users related to the original room to endorse the new
room. Rapid changes of rooms related to topics on the news can be recorded with considerably
more temporal resolution for research purposes.
4. Actions: The role of the SP is to help you or a machine know what actions to perform, not to
sit idly thinking forever. Therefore, the knowledge in each room is prioritized to present a part of
or this whole sequence: conditions  concepts  definitions  actions  results. At
programming language level, they should be in form of functions or procedures.
5. Users have to avoid and improve absolute, incomplete, or excessive statements. For example,
“The less government intervention the better” and “To succeed, you must be merciless” are
absolute and incomplete. You should improve and replace them with “In fast growing markets or
where leaders are incompetent, the less government intervention the better; otherwise,
government tend to play in important role” and “To succeed, when mercy is valued by people
who are valuable to you more than your gain from being merciless, be merciful; otherwise, be
merciless.” The more what-ifs and details, the better. You may add statistics, thresholds,
mathematical models, etc. but they have to relate to the core point of the room; otherwise it will
become excessive and needs to be divided.
Computation
1. Pyrofile and credentials (cred): “You’re rooms19
; everything is just rooms.”
17
http://en.wikipedia.org/wiki/Millennium_Prize_Problems
18
http://en.wikipedia.org/wiki/List_of_unsolved_problems_in_computer_science
19
How many rooms are you? http://qr.ae/qSkVI

18
In the SP, you are your knowledge, either self-sourced or externally-sourced. Cred is a measure
of your credentials for a taxon (not scopon) in percentage (0% to 100%). It is calculated as the
average of all of your learn-rates (also in percentage) for each accounted room in that taxon. A
user’s learn-rate for a room is accounted in the calculation of that user’s cred for all taxa that
contain that room. For example, someone who has learned 90% of everything there is in
theoretical physics can have a cred in physics as high as 75%.
There are three ways you can raise your cred for a taxon (tentatively equally disttributed): (1)
earn learn-rate for any room in that taxon or the whole taxon by taking courses of SP-affiliate
institutions or by submitting evidence of your knowledge, (2) be endorsed by high-cred users, or
(3) have your contributed content endorsed by high-cred users.
Cred(user X, taxon Y) =
∑ ∑
∑
∑
 Learnpoint: user X’s learn-rate for each room in taxon Y, in %
 Roomcount1: the number of accounted rooms in taxon Y
 EndorserY: the endorser’s cred under taxon Y, in %
 EndorsedY (input): the value of cred endorsed by that endorser for taxon Y, in %
 RP: the representative probability of each room in taxon Y, in %
 Roomcount2: the number of accounted rooms submitted by user X in taxon Y
When a user earns a cred value of x% for a taxon X from another user, the learn-rates of all
rooms under taxon X are set to the highest value between their current values and x%.
Accounted rooms of user X are rooms with a representative probability that exceeds a certain
threshold (tentatively 70%). Only the learn-rates of accounted rooms of user X will be accounted
in that user’s cred for all taxa containing those rooms.
2. Room and representative probability (RP):
Each room is represented by a probability distribution of integer probability values from 0 to 100
(telling you the percentage of users who rated each value) and an RP. The RP of a room is
increased in two ways (tentatively, 50-50)—direct probability voting (users input a percentage
for the room’s probability) and weighted probabilities transferred from (back)propping rooms
(users input a percentage for how much they think room A is important/relevant to room B).
RP(room A) =
∑
∑
∑ ⁄
∑
 Userprob (input): the probability rated by a user X for room A, in %
 Usercred: the cred of a user X for the nearest taxon of room A, in %
 RP(room B): the representative probability of a (back)propping room B, in %
 Userweight (input): the user-rated importance of a (back)propping room B to room A, in %
 Cred1, cred2: the cred(s) of a user X for the nearest taxon of room A and the nearest taxon of
room B, respectively, in %

19
3. Order of computation:
There are many objects (rooms, users, taxa, scopa) and the values (RP, learn-rate, cred)
associated with these objects are highly interconnected. They are computed using a simple
iterative algorithm. Each iteration calculates the next set of values based on the resulting set of
values of the last iteration. To avoid a feedback loop, this continues until the values converge.
If a RP exceeds a certain threshold, its room becomes an accounted room, and the RP will be
accounted in the computation of all related rooms’ RPs and all related users’ learn-rates.
Only learn-rates are stored in the database; creds are not. A cred of user X for taxon Y will be
computed when user X endorses a room, user, or prop/backprop a room in that taxon.
Therefore, the order is as follows:
 Each room’s RP is computed from RPs of all accounted rooms related to it, and the creds of
the nearest taxa of all related raters.
 A cred of user X for taxon Y, when called, will be computed from the learn-rates of all
accounted rooms user X has in in taxon Y.
4. Cost factor: The path to the Singularity is not smooth. It’s not to choose simply the most
obvious routes but routes we can afford. That’s why we have to keep a good check on alternate
routes’ resource consumption in order to allocate resources accordingly. Thus I’m looking into
how to associate a cost factor with each room.
[13]
And then come the AIs
In the future, AIs must be heavily developed to learn from humans’ interaction with the SP to
perform a variety of complicated tasks.
1. Translating AI: translates knowledge along the Language dimension from human language to
more machine-friendly languages, at least programming language.
2. Validating AI: automatically prop or backprop knowledge to calibrate its probability.
3. Critical-thinking AI: performs a continual background scan of all of the existing rooms,
flagging those in conflict.
4. Leveling-up AI: Upon identifying contradicting rooms, this AI would chain them together, and
attempt to create a room at a Higher floor that resolves the apparent contradiction by providing a
perspective that explains both ideas.
5. Questioning AI: If the AI failed to create a unifying room, it would generate open questions
over the chained rooms, or search for current questions on Q&A websites such as Quora and
Stack Overflow. Humans would then attempt to answer these questions or extract knowledge
from current answers on Q&A websites.
6. Crossing AI: An AI will identify open questions in every discipline and search for solutions in
other disparate areas of knowledge, or provide an Insight from an apparently disconnected field.

20
7. Stitching AI: Most of the time, users would prefer reading knowledge in Wikipedia-article
style rather than browsing rooms endlessly in a 3D pyramid. They need a software to stitch
knowledge together in meaningful ways according to a wide range of criteria (e.g. probability >=
70%, within 10 floors of room A, Hard & S-Hard, rank 3) into well-organized 2D articles.
8. Analytic/predictive AI: This will be the main source of revenue. Refer to Application section.
For more understanding about the role of AIs20
to the SP, and their implications for the SS21
,
please refer to the footnote links.
[12]
IX. APPLICATION
a. Phase 1: Prototype
(1) A comprehensive hierarchical knowledge map to support systematic academic research.
(2) A platform to validate problem statements, explore existing solutions to similar problems,
map all knowledge required to solve the problems, predict and map must-have features of the
solution, generate hypotheses, gather academic materials or experimental data to support each
hypothesis, etc. in preparing academic paper, project proposal, or solution to grand challenges.
(3) A platform to verify intellectual leaders’ insights, and for intellectual point-to-point critique
where each opponent can lay out assumptions, counter the other’s assumptions, back own
assumptions with further assumptions or facts or data, trace these assumptions to the deepest
level possible, and so on. Opponents may adjust their assumptions according to new information
provided be each other, split the difference, and resolve the argument; or arrive at assumptions
which either side cannot or refuse to reason beyond for subjective reasons. This platform can be
used to resolve any argument between you and your opponents simply by using a tool to overlap
your Pyrofile and theirs to see where they meet.
b. Phase 2: Full version
(4) An educational hub for users to map knowledge, keep track of their learning, follow SP-
derived principles to produce original knowledge, acquire certified knowledge from SP-affiliate
education partners and build their comprehensive online credentials (Pyrofile). A selective Board
of Experts will rate (assign a cred value of x% to each taxon covered by) massive open online
courses (provided by Coursera, Udacity, edX, etc.), programs of educational institutions or
organizations. When a user graduates, her learn-rate for all rooms in each covered and rated
taxon will be set to the higher value between their current values and x% times the user’s grade
in percentage, e.g 100% for A, 80% for B, 0% for F and so on. This will be a major application
because, in no time, all of education will be online[15]
.
(5) A tool to verify and address long-term danger/existential risks to regulate knowledge
acquisition (e.g. encourage people to study engineering rather than literature).
20
Roles of AIs to the SP http://qr.ae/qeQcw
21
From the SP to the SS http://qr.ae/qeQ6r

21
(6) Provider of a distributed platform (“Home SP”) to privately organize personal knowledge;
crowdsource/groupsource personal, military, or political planning assistance; identify
weaknesses and plan courses of actions to contain these weaknesses. For example, you can post
“I should work for Google” and “I should work for Facebook” and have your friends prop these
two options with their knowledge. In military, we can map weapons, countermeasures, counter-
countermeasures, human resources, psychological weakness, geographical advantages, public
ignorance, etc. (our own weaknesses and the enemies’).
(7) A platform to crowdsource systematic codification of hierarchical knowledge. Users can post
knowledge in rawer, more machine-friendly languages than human language, such as
mathematical language, pseudo-code, programming language, or even rawer forms. These
versions of knowledge are used to accelerate machine learning.
(8) In the face of the a paralyzing speed of academic publications worldwide (5 publications per
minute by 2013), the SP can serve as a template for academic publications so that we easily
identify the relationships between ideas, terminology, and data within a publication, between
different publications, and verify even the most technical details in these publications ourselves.
I also envision a similar template for solution submission to science competitions, so that voters
can visually investigate and compare technical advantages between solutions rather than watch
videos that tell nothing and depend heavily on production values22
.
(9) A platform for AI experiments[13]
on hierarchical and machine-friendly knowledge, which
opens the door to profitable analytic/predictive tools; also a source of problems for competitive
programming sites such as TopCoder and Kaggle. For example, a tool can monitor the collective
knowledge of a market to identify market gaps; if there is a gap between the standard of
appreciation for food, hygiene, movie, etc. of Vietnam and that of the rest of the world, you can
provide products at just above their current standards and charge as much as you want; in my
country, people love paying for crap. That tool can be applied to the business of art23
. At some
point, the SP will spawn a new breed of ultra-high-tech analysts called “Paralysts.”
(10) A complete understanding of the SP opens your mind to a wide range of everyday mental
applications24
.
[64][63]
X. THEORY OF WEAKNESSES
The SP is scary, because there are countless rooms to light. If someone lights a room you haven’t,
it becomes your relative weakness to that person. No matter how High you are, you can’t always
rely on your Highest knowledge which supersede most Lower knowledge to solve every Lower
problem. You plan/tool based on such knowledge may help you succeed most of time but, in
some cases, bugs (analogous to a literal bug in a High-tech computer) will appear and you may
fail. Even the most advanced systems these days have to be regularly debugged lest being
hacked[60]
. You can be considered invincible if you own the only gun in the town, but anyone can
defeat you with as easy as a kick in the crotch unless you have expected that and trained properly.
22
Nokia Sensing XChallenge Finalists https://www.nokiasensingxchallengevoting.org/
23
The business of art http://qr.ae/qefSR
24
A list of random everyday applications http://qr.ae/qZ7nW

22
Theoretically, a weakness has the potential to affect ALL rooms above it. In other words, it can
cause damage to all people who have lit any room above it. The relatively Deeper the weakness
is, the more damage it may cause, e.g. the Heartbleed bug that unfolded early this year25
. The one
who lit the room has the option to share it for little recognition and reward, or exploit it for more.
It’s easiest to think of weaknesses as vulnerabilities in computer sciences, which are most
documented. In the future, weaknesses in life sciences26
will be much more debilitating.
Exclusively-lit relatively-Deep room, bug, hole, loophole, gap, vulnerability, shortcoming, blind
spot, weakness—the lingo is endless, but the concept is universal. Let’s call it “weakness.”
Weaknesses everywhere
Weaknesses are mostly exposed for exploitation/fixing under extreme/life-or-death conditions
such as war[61]
. Nevertheless, they can be every bit and piece of information you miss when you
“let your guard down.” [62]
If you overestimated your security and didn't buy a good door, a thief
can break in. If you miss a piece of news about the company whose stocks you own due to lack
of connections, you lose money. If you find a hole in the law system, exploit it and make sure not
to be discovered, you can beat the system and get rich. If your neighbor is good at electrical
engineering, he can steal your electricity. If you don't check your children's DNA, you may end
up raising someone else's kids. If your IT system is imperfect, a hacker will find and exploit it or
extort you. If you are not good-looking and careless about your appearance, you can lose a job or
be bullied. If a person hates you and you don’t know, when a situation arises, he will do
everything within his abilities to harm you. If you depend on someone, your dependence is a
weakness. When I was an environmentalist, whenever one of my fellows vandalized or swore
before the press camera like an illiterate dropout, I would look worse in the public eyes. Such
person was my weakness. Every time a Vietnamese steals from a local grocery in a foreign
country, I would look worse in that country so they count as my weakness. If one of your
teammates is not good enough, greedy, emotional, has a habit, someone to die for, or any
weakness, that person’s weaknesses become your weaknesses that other teams will exploit.
The State of Israel is a perfect example of a brilliant people having their weaknesses exposed
continuously and having what it takes to fix them all. [Senor 2011] has all the examples. The
Yom Kippur war that happened on Yom Kippur, the holiest day in Judaism, reminded Israelis of
what’s more important to survival than praying, and led to the institution of the Talpiot program
to recruit the best of the best humans in all faculties in Israel to defend the nation and more. They
fixed their weaknesses (the holy day); their scientific and technological breakthroughs achieved
while Hard-rushing (in war) fluidly found their way into the global markets since no country
could have all conditions met to get that High. With those breakthroughs, their alumni and those
of Unit 8200—another Israeli miracle—found leading companies in the world such as NICE and
Check Point. US Army recently bought the Iron Dome from Israel27
—a technology that only a
country showered with rockets on a daily basis could develop. Besides war, it used to be a matter
of life-or-death for this nation to grow food on dessert. Now one of their leading companies
Netafim is exporting their agricultural technology to the whole world, their wastewater recycling
rate of 72% being the highest in the world.
25
Heartbleed https://en.wikipedia.org/wiki/Heartbleed
26
Hacking DNA http://www.theatlantic.com/magazine/archive/2012/11/hacking-the-presidents-dna/309147/
27
US Army bought Iron Dome http://www.israelnationalnews.com/News/News.aspx/186951

23
Inherent weaknesses
However, how about inherent weaknesses? What if I’m smart and rich, but short and weak? Just
knowing that doesn’t improve anything. Doesn’t that mean there’s a permanent, no matter how
small, chance that one day I can be toyed around and killed in humiliation by a brainless brawny
thug? In order to ensure my absolute survival, I must become meta-High—mastering all
knowledge on all floors below my conscious level—to be smart and rich enough to make myself
big and strong. However, the meta-High concept should always be regarded as a goal rather than
a realistic description of any entity that may exist at all. Turning into an elite fighter capable of
dodging bullets or warding off whoever attempts on my life is not inefficient, considering how
limited my resources are and how many floors I have to master to be truly meta-High.
However, there’s no need to be desperate. Most powerful elites in world raise enough layers of
High protection around themselves to seal off their weakness which is their fragile biology. To
defeat them and survive, attackers must also master High floors to break away from the grasp of
their High protection, which diminished the attackers’ incentives to perform the attack at all. In
case of network vulnerabilities, the one to exploit weaknesses of the systems must be High
enough to succeed while maintain his anonymity. However, the High people in the society have
contained the risks of these potential weaknesses so well with their High knowledge that no one
who had the relatively Deep skills to exploit the weakness also had the High skills to escape
justice. There were countless instances of hackers, including members of the Anonymous
group28
, getting caught for their miscalculations.
To further understand inherent weaknesses, refer to the Robocop (2014) case study29
.
The Inevitable
What we have discussed above is not to zero in on apparent solutions, but to encourage you to
acknowledge and accept natural laws of knowledge and the inevitable future resulting from them.
Any knowledge/technology WILL be weaponized and put in bad use30
by criminals, terrorists,
and hackers as long as the weaknesses inherent to us as a species (emerging from both our brains
and biological bodies) exist as targets for entities with fewer weaknesses to exploit and benefit
from. It is ineffective to encourage people to develop technologies “responsibly.”31
Exponential technologies will entail exponential weaknesses as they guarantee exponentially
widening gaps and holes in our knowledge for criminals to exploit, just like a fast growing IT
system harboring more and more vulnerabilities for hackers to exploit32
. Developing Higher
power (authority, money), technology (Internet of Things, synbio), and conscious level
(realization of profit from destruction) will only add more dark floors below—weaknesses.
28
Arrests of the Anonymous https://en.wikipedia.org/wiki/Anonymous_(group)#Arrests_and_trials
29
Robocop (2014) case study http://qr.ae/qZ8e7
30
Exponential crime http://www.ted.com/talks/marc_goodman_a_vision_of_crimes_in_the_future
31
Build the future “responsibly” http://singularityhub.com/2014/11/20/summit-europe-artificial-intelligence-
evolving-from-disappointing-to-disruptive/
32
Massive bank attack http://money.cnn.com/2014/08/28/technology/security/bank-hack/index.html

24
Only with a powerful information tool such as the SP can we ascend High enough to come up
with not just strategies to address each threat separately, but even much Higher plan to seal off
our weaknesses completely.
The SP as a game
Why do I have to play the SP? Can’t I just learn instead of competing? It’s up to you. However,
over time, the SP will resemble a virtual reality rather than an “online knowledge mapping
system.” Like in any reality, competition is inevitable, as implied above.
The bottom line is: inside the SP, it contains an incomplete theory about itself.33
So, if you use
the SP but there're still things you do not know about it, they will become your weaknesses. This
will remind you forever that you reek of weaknesses and had better hurry up get High!
The Higher you get, the more you will feel like playing a game with your everything at stakes.
You interactions with knowledge at such levels will bring about enormous consequences. And
your Pyrofile will be one of your primary weapons when we introduce a feature that lets you set
the “conditional visibility” of separate parts of your Pyrofile. It means only users who meet
certain conditions can see the parts you want to hide.
Also, it’s worth noting that the moment High dark rooms (dark secret of the government,
military, and corporations) are open to you and the public, their first explorers—the Highest
masterminds will have moved up to the next floors. So it is an endless race.
But don’t worry! My goal in proposing the SP is to leverage the power of knowing and empower
you, giving you another tool to close the gap between yourself and those near the top. So the
bottom line is the SP will provide a paradigm-High knowledge service and learning experience
compared to Wikipedia. The chance is for everyone, but the reward is not.
XI. MY NEXT STEP
Honestly, right now I do not have enough technical expertise to build the SP. I have started
learning to code again but I still need your help. I believe if the SP concept is powerful enough
and its implications profound enough, people with complementary skills will join me. My plan is
to seek feedback on the concept, gather like-minded fellows, seek technical advices and
endorsement, apply to certain incubators (which I have chosen since 2012), acquire must-have
technical skills and knowledge as fast as possible through MOOCs and programming books
(which I have bought since last year), go to an incubator next year, meet technical partners and
work on this project full-time with the intention of a building startup in mind.
I have envisaged a prototype for when I can go to my dream incubator, where I will ask all
project teams to put their projects on the SP—map their Insights to find like-minded partners,
verify their problem statements with facts and data, their Insights about possible solutions, lay
out all knowledge required for their solutions (neuroscience, nanotech, synbio, AI, etc.), predict
Higher problems to solve next so that the effects of their current solutions will not be soon
33
The consciousness of the SP http://qr.ae/qSmOI

25
obsolete, identify which parallel efforts are needed, how the processes and outputs of all projects
incubated there overlap, etc. This would be a win-win for both me and those teams.
This project and another one are my life. Except for technical knowledge, I have a firm grasp of
the concept, its implications, and its “real” plan for the future—the future that I want to live in. If
not for that, I wouldn’t live another second. To borrow Eric Schmidt’s and Jonathan Rosenberg’s
words in “How Google Works,” I want to bet on an unimaginable future, because such big bets
can sometimes be easier to achieve than small ones, since they attract the best people.
XII. INTERPRETATIONS & NOTES
[6]
Limitations of Wikipedia: users’ ratings are equally weighted; information is linearly sorted
with no meaningful order; has semantic structures but presents no big picture. Solutions: take
user credentials into account, and add three dimensions.
[7]
Limitations of Google: ratings are based on the page’s quality rather than the knowledge’s
probability; information is linearly sorted with no meaningful order; has the Knowledge Graph
but no big picture. Solutions: add three dimensions.
[11]
The Singularity is expected to be near the Top, but not literally at the Top. The Theory of
Everything should be comparatively closer to the Top. I doubt humans will survive to witness
what lies at the Top.
[15]
Opportunities in education:
Over the next five years or so, all of education—K-12, college, and graduate school—will be
online, in every major language. Companies like Google and others are working to bring very
low cost, or no cost, Internet to everyone in the world. In the future, we will see very high quality
education, both in terms of online education with human thinkers, as well as computer-assisted
instruction by artificial intelligence, thus providing higher quality education to everyone. There
will need an educational hut to arrange that huge amount of high quality education in one place
so that users can record and share their life of learning in a single place34
.
[8]
An incomplete list of my questions in life in four main sets:
1. The structure of knowledge: How can I put all knowledge in the same picture? The whole
picture comprises of all fields. People are going up and down without anticipating where to
meet halfway in order to hold hands and walk up to the Top together. Why didn’t high school
34
A Q&A with Ray Kurzweil http://roi.ted.com/2014/10/15/singularity-university-the-future-of-education-and-the-
evolution-of-search-a-qa-with-ray-kurzweil

26
teachers teach mathematics, physics, chemistry, and biology as a seamless body of science
where biology emerges from chemistry, which in turn emerges from physics, while
mathematics is the seed of science that describes everything? In theoretical physics, why
didn’t scientists from two camps (string theorists who go bottom up and model builders who
go top down) work hand in hand trying to meet somewhere in the middle? If scattered in the
body of religious knowledge to date are tiny pearls of truth/real knowledge then how should
they be positioned compared to scientific knowledge? Should scientists take leaps of faith for
unlikely breakthroughs? What does it take to draw a roadmap to the Singularity?
2. The map of a humans’ consciousness:[3]
Why can’t big minds agree on everything with each
other? Why are some of the most intelligent people I know in their fields so naïve and
ignorant in worldly matters, and not conscious at all of the hidden danger threatening our
lives every second? How can I convince very intelligent people who have huge ego to sit
down and point out their elusive deficiencies in order to work out real solutions together?
How can I convince people who love or hate Hitler or other monstrous historical figures that
they were inevitable existence born out of the context of history rather than good or bad
people? How can I prove the relative and probabilistic nature of the reality (nothing is
absolutely true and everything is governed by a probabilistic distribution)? Do levels of
consciousness exist (People of higher level of consciousness are exposed to certain
knowledge that enables them to realize things closer to truth or on a larger physical scale.)
and how can I visualize someone’s consciousness? How can I really put myself in someone’s
shoes to understand why that person’s view is so glaringly contrasting to mine?
3. The reason for variety: Why are people still enjoying 2D games (Flappy Bird) while there are
so many awesome 3D games? Why not create the best thing but the best things? Why can’t I
have a one-size-fits-all all-time strategy? Why do people suddenly fall in love with retro-
styled music or fashion? Why do we still have martial arts while we have weapons? What
exactly do the arts of gardening, dancing, gourmet cooking, fine dining, fashion, photography,
poetry, etc. contribute to the humans’ progress towards the Singularity? Why are there
always people who over-appreciate particular inane forms of art (Mark Rothko’s black-on-
black—abstract expressionism—or Kasimir Malevich’s white-on-white—suprematism) and
junk teen bestsellers (Beth Reekles’s The Kissing Booth and Maya Van Wagenen’s Vintage
Wisdom for a Modern Geek)? Why did junk teen novelists like Beth Reekles and Maya Van
Wagenen become two among The 16 Most Influential Teens of 2013? How could Nikita
Singh become such a best-selling Indian novelist if her best known works were named
“Love@Facebook” (2011), “Accidentally in Love…With Him? Again?” (2011), “If It's Not
Forever...It's Not Love” (2012), “The Promise” (2012), “Someone Like You” (2013), “The
Unreasonable Fellows” (2013), “Right Here Right Now” (2014)?
4. The nature of war and peace: Why does war exist? Does absolute peace exist? Why do
people fight? Are all kinds of violence and crime (robbery, murder, protest, IT hacking, etc.)
during peace time just another manifestation of war? Why do we need red team exercises in
computer science and life sciences? As long as there is profit in war, can there really be no
more war? Why were there many scientific breakthroughs in war that lead to the invention of
the computer and the Internet? What are the benefits of war? What exactly did wars
contribute to the collective sum of human knowledge? How did the process of developing

27
weapons and defense systems against certain weapons and uncertainty contribute to the
collective sum of human knowledge? Isn’t it true that every time a hacker found and
exploited a vulnerability for profit, the vulnerability will be fixed and the IT system will get
one step closer to perfection? Are all kinds of damage and losses the costs of collective
improvement and perfection?
[16]
Business model:
Free services: research activities (able to keep track of frequent content updates), data mining, AI
testing (pay if discontinued due to low content endorsement rate), and Home SP for
personal/organizational uses.
Paid services: advanced analytic/predictive tools (document parsing, market niche brute force
search, like-minded partner search), result sharing from AI developers, education (affiliate
institution rating), assess to hidden Pyrofiles (pay to Pyrofiles’ owners who are willing to sell
their content), headhunting (candidate search, assessment), job requirement analysis (based on
current employees), media (paid by journalists and news outlets who use SP format), etc.
[22]
Wisdom and Intelligence:
One thing in RPG games that I think reflects real life is the separation of a character's two
attributes Intelligence and Wisdom. I have met very intelligent people who are experts in their
fields but naive and ignorant in most worldly matter. They could make instant calculation or
draw very complicated blueprints of buildings and machineries but couldn't understand why the
Titanic sank or why 11/9 happened or how disaster capitalism worked.
Many intellectual elders in my country think that Americans simply waged wars in our country
out of monetary greed. In most cases, high Wisdom requires high Intelligence, but not vice versa.
It’s easier to imagine an entity with extreme intelligent rather than on with extreme wisdom. For
example, the “ultra-intelligent” character Schön in Macroscope (1969) could play games and do
almost everything perfectly but never thought of living forever or dominating the universe. On
the other hand, the evil genius in Oliver Emberton’s to-be-published novel35
is comparably wiser
to advance his agenda and dominate the world, laying the foundation for his descendants to
achieve even more.
Deriving from important concepts in the SP, I have attempted to redefine Wisdom (which is
largely based on the Highest floor level one has reached) and Intelligence[23]
.
[24]
The SP in comparison with Google Knowledge Vault: People as users are evolving/interactive
part of the picture rather than just static objects; presents a big picture; seek High human
subjective Insights rather than just objective knowledge; the purpose is not “ask me anything”;
35
Evil genius takes over the world http://qr.ae/qSLHD

28
knowledge creation is guided. If Google's mission is to organize the world's information, the
SP’s mission is to organize the collective body of knowledge.
[26]
The Deeper, the scarier:
American scientist Herbert A. Simon, in describing an AI program called EPAM, wrote in 1973
that to understand the mysterious EPAM program, he would provide us with three versions of the
explanation. One would be the form in which it was actually written (programming language)
with its whole structure of routines and subroutines. Alternatively, he could provide us with a
machine-language version of EPAM after the whole translation had been carried out. The third
would be the electromagnetic equations and boundary conditions that the computer, viewed as a
physical system, would have to obey while behaving as EPAM. That would be an acme of
reduction and incomprehensibility. [Kurzweil 2012]
[29]
The expert manager was itself a software program that was programmed to learn the strengths
and weaknesses of these different systems by examining their performance in real-world
situations. It was based on the notion that these strengths were orthogonal; that is, one system
would tend to be strong where another was weak. Indeed, the overall performance of the
combined systems with the trained expert manager in charge was far better than any of the
individual systems.
[36]
Bouncing between the Deep and the High:
High applications of mathematics in engineering and theoretical physics have driven much
development in Deep mathematics. Conversely, a Deep achievement36
in mathematics, logic, or
algorithm can usher a cascade of High technological wonders. In fact, the Highest theories
mostly depended on invention of more mathematics37
and more mathematics is always needed to
develop Higher theories38
. Computer scientists regularly bounce between developing Deep
algorithms (for the software) and building faster computers/networks based on High technologies
(for the hardware). In far future, the development of Deep computronium language will optimize
calculations of High ToE equations.
One of my favorite bounce happened when I learned about the probabilistic nature of reality
through the equations of wave functions and Schrödinger's equation (Deep). Thereafter, I only
describe things as “probable” rather than “accurate.” I also realized that if wave functions really
never collapse then the reality that we perceive is merely the interference between all the wave of
every quantum in our brain and body with that of every quantum in the universe. I found an
allegory in Young’s double-lid experiment with photons, where the visible light bands are the
reality while the waves of the photons are always present but invisible. That means everything is
36
Take over the world after proving P=NP http://qr.ae/qSLiG
37
Inventing mathematics http://qr.ae/qSLJe
38
Need more mathematics http://qr.ae/qS0NW

29
predetermined, which resonates Einstein’s quote “God doesn’t play dice.” Yes, he doesn’t play
dice because he has known the dice’s wave function and all of its possibilities! Hence my
original expansion of Einstein’s quote “God doesn’t play dice, because He sees all sides at once”
and the huge dice showing three sides with a dark top on the 1st
page of this paper.
[42]
Abstraction in mathematics is the process of extracting the underlying essence of a
mathematical concept, removing any dependence on real world objects with which it might
originally have been connected, and generalizing it so that it has wider applications or matching
among other abstract descriptions of equivalent phenomena. Two of the most highly abstract
areas of modern mathematics are category theory and model theory. One of the advantages of
abstraction is: It reveals deep connections between different areas of mathematics. Known results
in one area can suggest conjectures in a related area. Techniques and methods from one area can
be applied to prove results in a related area.
[43]
Why we need Soft, Hard, and S-Hard while S-Hard is all we needs to reach the top?
If a perfect AI magically sprang into existence, in no presence of humans, it would gather only
knowledge at the Core, which is all it needs to reach the top of the pyramid. Unfortunately, it has
to be created by humans, so it needs Hard knowledge to co-exist with humans. On the other hand,
humans are living organisms so, in order to stay alive and productive, we need all sorts of Soft
knowledge—entertainment, tasty food, fun, joy, love, fashion, touch, art, photography, fiction,
sex, reward, music, flower, bar, club, firework, emotion, party, movies/books that elaborate
trivial life philosophies (Mr. Nobody39
, Cloud Atlas40
), etc. As a result, humans have to fill up
Soft, Hard, and S-Hard knowledge simultaneously until the Core has filled up enough for an AI
to use it to fill up the rest of the Core.
[44]
Computronium:
“According to the law of accelerating returns, by the end of this century we will be able to create
computation at the limits of what is possible, based on the laws of physics as applied to
computation. We call matter and every organized in this way “computronium,” which is vastly
more powerful pound per pound than the human brain. It will not just be raw computation but
will be infused with intelligent algorithms…. The potential of matter to compute is also governed
by a very small number, Planck’s constant 6.6x10-34
joule-seconds. This is the smallest scale at
which we can apply energy for computation. We obtain the theoretical limit of an object to
perform computation by dividing the total energy by Planck’s constant. Lloyd shows how the
potential computing capacity of a kilogram of matter equals pi times energy divided by Planck’s
constant. Since the energy is such a large number and Planck’s constant is so small, this equation
generates an extremely large number: about 5x1050
operations per second.” [Kurzweil 2012]
39
Mr. Nobody http://www.imdb.com/title/tt0485947/
40
Cloud Atlas http://www.imdb.com/title/tt1371111/

30
[45]
Quotes on the language of thought:
“I very rarely think words at all. A thought comes, and I may try to express it in words
afterwards.” – Albert Einstein.
“As we experience our own thoughts and memories, we “know” what they mean, but they do not
exist as readily explainable thoughts and recollections. If we want to share them with others, we
need to translate them in to language.” [Kurzweil 2012]
[47]
Why a probability distribution of probabilities (PDP) but not simply a probability distribution
or probability or just a Boolean value of true and false?
It’s simple—to provide more information. We could have used a probability distribution of
probability distributions of probability distributions of… Unfortunately, I don’t think most
people would find such level of complexity meaningful and useful. If a room has a tentative
representative probability of 50%, a PDP would suffice to help you distinguish between these
different cases: (1) everyone has the some opinions, e.g. everyone rated 50%, (2) everyone has a
different opinion, e.g. ratings are evenly distributed from 0% to 100%, and (3) there are two
opposite camps, e.g. half of the ratings are 0% and half 100%.
[59]
Why are all Conceptual levels needed (not just the Highest)?
“It would be extremely difficult to interpret what these higher level patterns meant without
actually copying all of the information at every level into our own cortex. Thus each pattern in
our neocortex is meaningful only in light of all the information carried in the levels below it…. if
we were able to detect the pattern activations in someone’s neocortex, we would still have little
idea what those pattern activations meant without also having access to the entire hierarchy of
patterns… below each activated pattern. That would pretty much require access to that person’s
entire neocortex.” [Kurzweil 2012]
[61]
Those who can't fix their weaknesses in war either perish or have to compensate for them with
more strengths. There are three common types of war:
1. Violent war: armed conflict between countries, colloquially referred to as "war". [70]
All kinds
of weaknesses in strategy, intelligence, discipline, mental toughness, technologies, risk
management, etc. are exposed on the battlefield. If you can't defend against just a single type of
projectile, it's a weakness. If your bullets can't pierce through enemy's walls, it's a weakness.
They are exploited by one side and fixed by the other. That's how warfare knowledge evolves.
But this type of war is the most costly and thus the last resort a country has to employ after all
other types of war have failed.
This may sound ridiculous but have you ever imagined what happens if we are attacked by aliens,
literally? That's when we need flawless "weapons" and flawless "armors." And the only way to

31
achieve anything "flawless" is to constantly searching for and fixing flaws or weaknesses. As a
result, humans always fight among ourselves, because no one would simply point out others'
weaknesses for no reward while such weaknesses can instead be exploited and benefited from.
Since human beings are eternally at war with nature/uncertainties, we never who what may come
at us. That's why we are subconsciously developing the best "weapons" and "armors" in
preparation for existential threats by fighting among ourselves.
2. Political war: boycott, assassination, and any kind of political pressure. If someone can
pressure you in any way, it's your weakness. One only resorts to violent war if one has failed the
political war.
3. Economic war: by financial, monetary, or competitive means. After failing the Vietnam
(violent) war, the US reverted to fighting the economic (and political) war by impoverishing the
country in the most subtle way, exploiting the incompetence and ignorance of its people. Luxury
brands open branch offices to drain this country's capital through government officials who
lavish on Ferrari, Bentley, LV, etc. People here also can't create good enough businesses to
compete with US companies (just good enough to drain their own ignorant people). These are all
weaknesses. The Israelis had an even lower starting point but they were evolutionary masters
who could fix all of their weaknesses to climb to the top. In Start-up Nation41
you can find how
all sorts of war (especially violent war) continuously expose the Israelis' weaknesses and forced
them to fix them or perish.
4. My definition of war extends beyond the common scope to include a 4th
type of war—the
most fundamental and most subtle one: the "war in all aspects of life", involving any invisible
transfer of resources that takes place every heartbeat[62]
. This type of war shares many
characteristics with economic war (each type of war shares characteristics with adjacent ones, e.g.
political war can be both violent and economic). The victims of this type of war are not killed.
They are only ripped of something (mostly financial resources), forced down the bottom of the
society, and occasionally driven to optionally suicide.
[21]
The Free-lunch Zone emerges from virtually every molecule making up the human body and
their particular arrangement, especially the brain. This set of knowledge does not exactly
resemble a “zone” but is scattered across the SP. They can obtained effortlessly, early, intuitively,
unconsciously by humans thanks to the information encoded in the human genome, aimlessly
refined over millions of years of evolution, including reflexes and instincts. Evidently, [Kurzweil
2012] stated that the wiring and synaptic strengths within each physical pattern recognition
module of the brain are determined genetically—that is, the organization within each pattern
recognition module is determined by genetic design. The amount of unique information after
lossless compression as applied to the brain is about 25 million bytes.
While humans are born with the biggest Free-lunch[34]
(25 million bytes), other animals also
enjoy it to some extent[19]
. All knowledge in Free-lunch Zone provides Hints to refine current
theories or inspire new theories. Most humans are not conscious of their Free-lunch (unconscious
knowledge) because such consciousness requires a Higher conceptual level.
41
http://www.amazon.com/Start-up-Nation-Israels-Economic-Miracle/dp/0446541478

32
XIII. EXAMPLE
[4]
Attaching questions to rooms facilitate verification:
Questions in chemistry: What do we get from a reaction between an acid and a base? What may
happen at low or high temperature, low or high pressure, with one catalyst or more, or in other
exotic conditions?
Broader questions: What is our mission? Is it to survive by expanding and improving our
habitat? We can achieve that with technology. Technology is converging at exponential rate but
it’s not made happened by Moore or God. It only happens if we prepare the ground for it. How
can we that? Do we have enough money and people to work on it? What prevents us from having
enough? Are the risks political, economic, social, or physical? How can we minimize them?
Why not attract even more investment and brainpower? Where are people investing the most in?
What are the brightest people working on? Why are they doing that? What are their incentives?
Which sectors do the demands come from? Who are demanding what? Why are they demanding
those but not these? Are they aware of the problems we are trying to solve? Are they not aware
of the existential danger we are aware of? Why can’t they be? How can we make them be? What
are the costs of doing so? By the way, what are we trying to solve? Who are we trying to help?
Why are we helping them? Are they the same? What are the costs? Can we afford the costs?
How much do the costs vary according to who and how many we help? What are the risks
involved in high costs? Can we take the risks? How can we reduce the costs? What and who are
hindering our progress? How can we stop them from hindering us? What are the options? What
are the costs of each option? Which one can we afford? How much do we need? Who do we
need? How can we get that much money and the people we need? Whom should we be honest to
and whom should we hide things from? Why should we be honest? What are other criteria and
standards besides honesty must we abide by? Why do we have to abide by them? What are the
costs of abiding by them? Can we afford them? Do they matter more than our survival? Is it OK
to be extinct?
[18]
Leading intellectuals with contrasting views:
There are many examples of disagreement/never ending arguments between leading intellectuals
in politics, economics, and sciences. Those I stumbled upon lately are between David S. Rose
and Ray Kurzweil42
on technological unemployment, Ray Kurzweil and Miguel Nicolelis43
and
Ray Kurzweil and Paul Allen44
on the plausibility of the Singularity, Deepak Chopra and
Richard Dawkins (though we all know Chopra is mostly wrong) on consciousness and “quantum
healing,” Paul King and Bradley Voytek over a neuroscience-y answer45
, etc.
Early this year, I sat with a respected education expert who studied in prestigious schools in the
US. We turned out to be disagreeing on every single opinion regarding education in our country.
42
On robotic workforce causing unemployment http://qr.ae/qJXHY
43
A “bunch of hot air” http://singularityhub.com/2013/03/10/leading-neuroscientist-says-kurzweil-singularity-
prediction-a-bunch-of-hot-air/
44
The Singularity isn’t near http://www.technologyreview.com/view/425733/paul-allen-the-singularity-isnt-near/
45
On bad neuroscience http://qr.ae/qJ7WR

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