Ben Goertzel CEO – SingularityNET, Chief Scientist – Hanson Robotics, the creator of the robot Sophia. Dr. Goertzel is one of the world’s foremost experts in Artificial General Intelligence, a subfield of AI oriented toward creating thinking machines with general cognitive capability at the human level and beyond.

1. How Decentralized
AI can Dominate the
Global AI Ecosystem
1
Dr. Ben Goertzel

2. 2
Narrow AI
Can only do one thing
(e.g., Deep Blue can’t drive a car;
Google Car can’t play chess)
TRAINED or just PROGRAMMED
• Deep Blue
• AlphaGo
• Facebook Face Recognizer
• Google Self Driving Car
• IBM Watson for Jeopardy
• IBM Watson for Medical
General AI
Can (in principle) learn to do anything a
human can learn and more.
EDUCATED
Able to generalize
dramatically beyond its
original programming and
training data
Spends significant resources
on generalization rather than
strict application of provided
functionality

3. 3
Self-Driving Cars are a
great leap forward -
But they can’t learn to drive
different types of vehicle
besides cars (trucks, boats,
motorcycles)
And they are poor at
adapting to unforeseen road
conditions

4. 4
One approach to AGI is the open-
source OpenCog AGI toolkit
Now being embedded in the SingularityNET framework,
and the Hanson AI “Whole Organism Architecture”

7. Observation-based semantics:
an AI should assign meaning
to all its ideas, abstraction
and hypotheses via
extrapolation from its
observations
The AI builds its own subjective world,
coupled with the flow of observations
coming into it

8. “Circular reasoning, when
the circle is big enough,
is called ‘coherence.’ ”
— AI researcher Pei Wang
— AI researcher Pei Wang
— AI researcher Pei Wang
An AI must learn to model
itself in terms of the world,
and the world in terms of
itself

9. OpenCog applications
SingularityNET 22
OpenCog powers the genomic and biomedical inference engine underlying
Mozi AI Health, a cutting-edge decentralized cloud service providing
advanced intelligence to the discovery of therapeutics and diagnostics and
the control of systems biology simulations
applying OpenCog to challenging practical problems
helps bridge the gap between here and AGI
The OpenCog AGI engine is already a core component underlying
Sophia, SingularityNET’s humanoid spokesperson, built by
our partner Hanson Robotics.

10. AI
Next Step
The AI world will need new
innovations in science, hardware
and software engineering as well
as business practices to reach
the next step
Deep neural nets are already at their
peak. There is more value to be
extracted from them in areas like
video analytics, but they are not
going to carry the AI revolution to its
conclusion
In the current ecosystem, most
creativity occurs in universities and
startups, or via independent
researcher/developers
When big companies hire university
researchers and acquire startups,
scalable deployment is aided but
creativity almost always suffers
We need new modes of organizing
R&D and “productization” that more
fully fosters creativity and efficiency
in an open source AI world
The Next steps in AI Will Require
Great Creativity

11. AI is Fundamentally A Winner
Takes All Game
AI
specific
Big Data
Cognitive Synergy Meta Learning
More customers bring more data,
AI algorithms can leverage other AI
algorithms.
AIs learn from experience.
Multiple AI-specific network effects reinforce one
another.
These work together with the “generic" network
effects that come with any platform business:
The more users for one's AI
platform, the more attractive it is to
new providers
The more providers on one's AI
platform, the more attractive it is to
new users

12. Control Of
AI
There is widespread fear of an AI-
powered surveillance state, powered
by collaborations of government and
corporations
Opaque corporate control of personal
data, and adaptive software behavior
based on this data, is increasingly
unpopular
SNT will broaden that success in the
commercial world, perpetuating an
ever more powerful open source
platform outside the control of large
corporations and the military
When big companies hire university
researchers and acquire startups,
scalable deployment is aided but
creativity almost always suffers
Unease with Corporate and Military Control of
AI is Spreading Rapidly

13. 13
DATA Platforms

14. 14
Why Will Decentralized AI Win?
AI development has been challenged by high barriers to entry:
access to data and computing power were concentrated in the hands of
a few large corporations. Blockchain solves the data acquisition,
business model and privacy problems that will drive AI
adoption globally.
Establish a compelling first mover advantage in the trend for wide
adoption of enterprise-grade AI and Blockchain solutions across
industries as regulation comes online.
Connecting different AI parts written by different teams in an easy and crisp way leads
to greater emergent intelligence and the ability to effectively and rapidly address
more vertical markets than a big company is likely to pay attention to
Ability to directly and broadly collaborate with academic world, due to less emphasis
on proprietary software or conflict of interest

15. AI Nodes in the
SingularityNET carry
out diverse cognitive
and analytic operations,
and exchange diverse
types of data
15
This is a “network effect”
from both business and
cognitive perspectives
AI Nodes may join
together into “federations”
– subnetworks of nodes
that habitually work
together to carry out
particular sorts of tasks.

16. Data processing
tools
AI Algorithms
AI Solutions / Services
Software & Hardware
Applications
SingularityNET
conceptual
workflow
MARKET
AGI Token
DATA
Infrastructure abstraction
Blockchain / distributed-ledger + offchain
messaging/storage

17. 17
AI Agents based on the OpenCog Neural-Symbolic AGI Platform
can serve as the “General Intelligence Hubs” of Agent-Networks in the SingularityNET
Catalyzing the Emergence of General Intelligence

18. 18

19. 19
http://www.businessinsider.com/sophia-robot-hanson-robotics-other-humanoids-2017-11/#at-the-2006-wired-nextfest-hanson-robotics-unveiled-its-next-
humanoid-jules-2

20. 20
Hanson AI “Whole-
Organism Architecture”
for Human-Robot
Experience
speech
synthesis
decentralized
network of cognitive
tools
social world model
integrated
cognition
navigation &
localization
visual
perception
mobile
manipulation
auditory
perception

21. Humanoid Robotics as a
Route to Engineering
Compassion
• Humanoid robotics with
realistic emotional
expression can enter into
shared social and
emotional spaces with
people
• This is how human culture
and values can be
implicitly transmitted to
robots and AIs

22. Loving AI
„robots that
respond with
unconditional love“
Hanson Robotics humanoid robot “Sophia”
used experimentally as a meditation coach—
pilot psychological studies
are very promising!

26. General Intelligence via
Hierarchy of Integrated Systems
Hierarchy of Integrated Systems
26
Human Intelligence AGI Design
Tight Subnetworks/regions
forming brain
Algorithms/subnetworks
forming OpenCog
Atomspace
Slightly Looser Subsystems/organs
forming body
Modules / robotics-
systems forming
Hanson AI framework
Looser Individuals/organization
s forming society
AI Agents forming
SingularityNET
decentralized AI network

27. SingularityNET

28. Next Steps for SingularityNET
321
Network Development
Corporate & Research
Partnerships
Community
Engagement
We're already building the
smart contracts and APIs to
power the initial network
We’re working directly with
corporate and research
partners to meet industry
demand
We're aggregating a community
of developers and projects to
bootstrap SingularityNET
SingularityNET 28

29. Singularity Studio Inc. — AGI for the Enterprise, Powered by SingularityNET
⦿ For-profit, commercially structured and
managed company
⦿ Licensee of SingularityNET R&D on AI.
⦿ Percentage of revenues goes to fund
SingularityNET R&D on AI
End-User Applications
Infrastructure enabling scalable,
secure applications
Platform and
Fundamental AI
Singularity
Studio
SingularityNET
Foundation
Studio enables SingularityNET
network and the decentralized AI
ecosystem to participate full-force in
the ongoing "AI arms race”
Studio’s use of
SingularityNET platform
kickstarts network effects
for the platform
Studio infrastructure work enables
SingularityNET platform to fully compete
with big tech for scalability and usability,
without requiring underlying use of big tech
platforms

30. 30

31. Major figures such as Stephen Hawking
have expressed serious worries
that AGI could lead to human extinction

32. 2014: Elon Musk sounds an alarm about AI

33. SingularityNET
2015: Elon Musk and others commit $1B to OpenAI for beneficial AI development

34. 2017: Elon Musk hires top OpenAI researcher for Tesla,
steps back from OpenAI governance to avoid conflict of interest

35. A proactive approach to beneficial
AGI
35
Create a framework where scalable, powerful AI can be created by any
knowledgeable developer
and profitably applied to any problem, even those that don’t match the business
models of large corporations or governments
Create a democratically-governed community oriented toward applying AI
technology for the broad benefit of sentient beings,
and retain this democratic, beneficial emphasis as AGI emerges

36. 36
Decentralized AI Alliance (DAIA)
To take on big centralized tech decentralized AI-related
projects must band together and cooperate to form the
necessary economies of scale
SingularityNET and AI Decentralized founded an
alliance in early 2018
Encourage collaborative software development among
decentralized AI projects
Channel funding to promising AI/blockchain startups
Sign Up at Daia.Foundation
Fostering Growth of a Broader Ecosystem

38. Right now,
by bringing AGI,
humanoid robotics
and blockchain together,
we are moving rapidly
toward realizing
Singularitarian visions