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AI & Blockchain Synergy
Dr Maxim Orlovsky, MD, PhD
orlovsky@bicalabs.org
BICA Labs
Laboratories for Biologically Inspired
Cognitive Architectures
Blockchain: Distributed
Ledger Technology (DLT)
TRUSTED PERSISTENT DATA RECORDS
INSIDE TRUSTLESS ENVIRONMENTS
WITHOUT CENTRAL GOVERNANCE
SECURED BY ECONOMIC INCENTIVES
GAME THEORY
● Distributed database (ledger)
● Distributed computations
(state changes),
Turing-complete OR incomplete
● Peer-to-peer mesh network
● Cryptographically secured
TECHNOLOGY ECONOMICS
BLOCKCHAIN
● Multiagent economy
● Game theory
● Free open market
● Non-state decentralized
economies linked to
particular types of resources
or businesses
Artificial Intelligence & Blockchain Synergy
NO
MIDDLEMAN
NO
CENTRALIZATION
NO
DATA OLIGOPOLY
NEW
PRIVACY
Blockchain tech intro
Important Blockchains
Bitcoin Ripple Ethereum
ZCashDashNEM
Most popular
cryptocurrency &
source code base
Value transfer network Smart contracts
Proof of Importance Governance model Zero-knowledge
BLOCKCHAIN DAG
DISTRIBUTED LEDGERS
Consensus
Secures trustless env
with economic incentives
● Proof-of-work (PoW)
● Proof-of-stake (PoS)
● Proof-of-...
Stateful
Ledger (i.e. database) with
defined final states
● Money or tokens
● Computations
● Any data records
Mixes mutability with
immutable track
Merkle tree
Multiagent
Independent free actors
Private key signatures
Mesh P2P network
Architecture of DLTs solutions
Light Node
Client apps
Full Node Mining Node Master Node
Blockchain
NODE BLOCK
Consistency
Consensus
Transactions / Internal state
Internal State
Extra data
Consistency
Consensus
Transactions / Internal state
Internal State
Extra data
Consistency
Consensus
Transactions / Internal state
Internal State
Extra data
Consistency
Consensus
Transactions
Internal State
Extra data
P2P Network Protocol
Consensus
Transaction
Internal State
API
Most important ready-to-go DLTs cores
Bitcoin
Core
Graphene Scorex Tendermint Ripple /
Stellar
Language C/C++ C++ Scala Go C++
Consensus PoW dPoS PoW, 2x
PoS
PoS
Blockchains Bitcoin,
Dash,
Litecoin, ...
BitShares,
Steem,
Golos
– (Waves
experiments)
Cosmos
(under dev)
Ripple,
Stellar, Infra
(e-Auction)
“+” Most
proved
Blazingly fast Modular PoS Fast &
proved
“–” Hard to
understand
Complex
model
Limited
functionality,
no real-world
impl
Immature Complex
model
Languages for working with DLTs
cores
● C/C++ — Bitcoin, Graphene, Ripple: performance
● Go — Ethereum, Tehndermint
● Python — Ethereum + experiments with blockchain
● Rust — Ethereum, Bitcoin: performance + efficient code
● Scala — Scorex (fast blockchain prototyping)
● Java — NEM
● JavaScript (Angular, React): UI & APIs
Meta-languages for smart
contracts
● Solidity: JavaScript-like
● Serpent: Python-like
● Viper: Python-like (Serpent 2.0)
Blockchain & AI
Technical Synergy
➔ Economical
agents
➔ Data consumers
➔ Data producers
➔ Miners?
(Proof of
Cognitive Work)
AI
FROM THE POINT OF
VIEW OF
BLOCKCHAIN
➔ Open Data for
Machine Learning
➔ AI Data Exchange
in Trustless
Environments
➔ AI Evolution
towards Human+
AI
BLOCKCHAIN
FROM THE POINT OF
VIEW OF
AI
DATA RULES MACHINE LEARNING
● Financial Transactions:
no more banks & VISA/MC
monopoly
— Bitcoin, Ripple, Dash
● Smart Contracts:
— Ethereum
● GovTech: open civic data
— e-Auction
TODAY TOMORROW
DLTs OPEN DATA FOR AI
● Energy consumption
● Goods transportation
● Legal records & registries
(incl. property, land etc)
● Smart city data
● Autonomous vechicles data
● … digitized picture of the
world
NO
DATA OLIGOPOLY
AI Data Exchange in
Trustless Environments
Artificial Intelligence & Blockchain Synergy
Artificial Intelligence & Blockchain Synergy
BLOCKCHAIN
ALLOWS
MALICIOUS AGENT
DETECTION IN
AUTONOMOUS
AI-DOMINATED SYSTEMS
PERSPECTIVE:
THE BIG PICTURE ON AI & BLOCKCHAIN
Artificial Intelligence & Blockchain Synergy
Artificial Intelligence & Blockchain Synergy
Industry 4.0
key factors
● Internet of Things
● Big data
● Cyber-physical
● Specialized AI
AI
DLTs
IoT Big Data Cyber-
physical
VR + AR
NCI / BCI
Physical object
representation in
cyberspace
Cyborgization
Learns on
data
Powers IoT
IoT
Information
Exchange
Provides data
Agrarian
revolution
Manufact.
revolution
Industrial
revolution
AI / H+
revolution
from
goods gathering
to
goods production
from
manual labor
to
tools production
from
manual tools
production
to
tools producing
tools
from
static tools
to
learning tools
GDP~N GDP~k*N GDP~Nα
GDP~eN
Human labor
(N - no of humans)
More efficient
manual labor
Automated
production
Automated
intelligence,
producing
automation for
production
Civilization 4.0
key factors
● Quantum Computing
● Generic Artificial
Intelligence
● Transhumanism
○ Life extension
○ Cyborgization
● Cosmic Expansion
SINGULARITY
AI + P2P
Decentralization => Evolution
From specialized AI towards Generic AIs
https://medium.com/bica-labs/how-blockchain-relates-to-artificial-intelligence-f0111f39afc9
Modern approach to #AI has grown
from research of 1950s-60s and is
outdated
➔ (quasi)Supervised Learning
No ad hoc concept creation and
feature extraction without
previous knowledge
➔ Not a Brain
Sampled after brain regions, but
a brain region can’t mimic the
whole
➔ Lack of Multiplicity
Leads to noncompetitive
development
➔ Enclosed
There is no reflection and
cross-agent knowledge
exchange
MODERN
AI
IS
OUTDATED
EVOLUTION
HAPPENS WHEN
SELECTION ACTS ON A
DIVERGING POPULATION
WHILE
MODERN NEURONETS
ARE SINGULAR
Multiagent
Game theory: why it matters
INFORMATION TRANSFER:
● species exchanges genes via viruses
● cells emit chemical and electric signals
● animals communicate via mimics and emotions
● humans — via language
WHAT ABOUT #AI?
INFORMATION TRANSFER
REQUIRES
CONSENSUS AND
PERSISTENCE
CONSENSUS:
each agent gets the same
sense of a signal as others
– DNA translation will be the same for bacteria as for a human being
– written text is understood in the same way by all native speakers
PERSISTENCE:
the sense of the signal does
not diminish with time
– DNA in chromosomes do not change during the live of the most cells
– Egyptian hieroglyphs could still be understood by researchers
BLOCKCHAIN
IS PERFECT BOTH FOR
CONSENSUS AND
PERSISTENCE
RENDERING MULTI-AGENT #AI AS AN
EVOLVING SELF-ORGANIZED SYSTEM
Distributed
storage
Hash Tables
Torrents, IPFS
Distributed
ledger
Blockchain & DAGs
What blockchain
lacks to enable
more efficient AI
● Geo-binding
(spatial bindings)
● Oracles
(physical world bindings)
● Distributed data
storage
(IPFS etc)
● Speed
higher transaction rates
● Application-level
languages
with new paradigms
BICA Labs
Laboratories for Biologically Inspired
Cognitive Architectures
orlovsky@bicalabs.org
http://bicalabs.org
@BICALabs
fb.com/BICALabs
linkedin.com/company/BICA-Labs
medium.com/BICA-Labs
Private foundation & task force supporting
disruptive technologies and radical innovations
having potential to change the world
hello@eventhorizons.org
http://eventhorizons.org
@EvHorizons
fb.com/EvHorizons
linkedin.com/company/Event-Horizons
medium.com/Event-Horizons
Cloud Business City
Virtual accelerator for IT startups
cloudbusinesscity.com

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Artificial Intelligence & Blockchain Synergy

  • 1. AI & Blockchain Synergy Dr Maxim Orlovsky, MD, PhD orlovsky@bicalabs.org BICA Labs Laboratories for Biologically Inspired Cognitive Architectures
  • 2. Blockchain: Distributed Ledger Technology (DLT) TRUSTED PERSISTENT DATA RECORDS INSIDE TRUSTLESS ENVIRONMENTS WITHOUT CENTRAL GOVERNANCE SECURED BY ECONOMIC INCENTIVES
  • 4. ● Distributed database (ledger) ● Distributed computations (state changes), Turing-complete OR incomplete ● Peer-to-peer mesh network ● Cryptographically secured TECHNOLOGY ECONOMICS BLOCKCHAIN ● Multiagent economy ● Game theory ● Free open market ● Non-state decentralized economies linked to particular types of resources or businesses
  • 11. Important Blockchains Bitcoin Ripple Ethereum ZCashDashNEM Most popular cryptocurrency & source code base Value transfer network Smart contracts Proof of Importance Governance model Zero-knowledge
  • 13. Consensus Secures trustless env with economic incentives ● Proof-of-work (PoW) ● Proof-of-stake (PoS) ● Proof-of-... Stateful Ledger (i.e. database) with defined final states ● Money or tokens ● Computations ● Any data records Mixes mutability with immutable track Merkle tree Multiagent Independent free actors Private key signatures Mesh P2P network
  • 14. Architecture of DLTs solutions Light Node Client apps Full Node Mining Node Master Node Blockchain
  • 15. NODE BLOCK Consistency Consensus Transactions / Internal state Internal State Extra data Consistency Consensus Transactions / Internal state Internal State Extra data Consistency Consensus Transactions / Internal state Internal State Extra data Consistency Consensus Transactions Internal State Extra data P2P Network Protocol Consensus Transaction Internal State API
  • 16. Most important ready-to-go DLTs cores Bitcoin Core Graphene Scorex Tendermint Ripple / Stellar Language C/C++ C++ Scala Go C++ Consensus PoW dPoS PoW, 2x PoS PoS Blockchains Bitcoin, Dash, Litecoin, ... BitShares, Steem, Golos – (Waves experiments) Cosmos (under dev) Ripple, Stellar, Infra (e-Auction) “+” Most proved Blazingly fast Modular PoS Fast & proved “–” Hard to understand Complex model Limited functionality, no real-world impl Immature Complex model
  • 17. Languages for working with DLTs cores ● C/C++ — Bitcoin, Graphene, Ripple: performance ● Go — Ethereum, Tehndermint ● Python — Ethereum + experiments with blockchain ● Rust — Ethereum, Bitcoin: performance + efficient code ● Scala — Scorex (fast blockchain prototyping) ● Java — NEM ● JavaScript (Angular, React): UI & APIs
  • 18. Meta-languages for smart contracts ● Solidity: JavaScript-like ● Serpent: Python-like ● Viper: Python-like (Serpent 2.0)
  • 20. ➔ Economical agents ➔ Data consumers ➔ Data producers ➔ Miners? (Proof of Cognitive Work) AI FROM THE POINT OF VIEW OF BLOCKCHAIN
  • 21. ➔ Open Data for Machine Learning ➔ AI Data Exchange in Trustless Environments ➔ AI Evolution towards Human+ AI BLOCKCHAIN FROM THE POINT OF VIEW OF AI
  • 22. DATA RULES MACHINE LEARNING
  • 23. ● Financial Transactions: no more banks & VISA/MC monopoly — Bitcoin, Ripple, Dash ● Smart Contracts: — Ethereum ● GovTech: open civic data — e-Auction TODAY TOMORROW DLTs OPEN DATA FOR AI ● Energy consumption ● Goods transportation ● Legal records & registries (incl. property, land etc) ● Smart city data ● Autonomous vechicles data ● … digitized picture of the world
  • 25. AI Data Exchange in Trustless Environments
  • 29. PERSPECTIVE: THE BIG PICTURE ON AI & BLOCKCHAIN
  • 32. Industry 4.0 key factors ● Internet of Things ● Big data ● Cyber-physical ● Specialized AI
  • 33. AI DLTs IoT Big Data Cyber- physical VR + AR NCI / BCI Physical object representation in cyberspace Cyborgization Learns on data Powers IoT IoT Information Exchange Provides data
  • 34. Agrarian revolution Manufact. revolution Industrial revolution AI / H+ revolution from goods gathering to goods production from manual labor to tools production from manual tools production to tools producing tools from static tools to learning tools GDP~N GDP~k*N GDP~Nα GDP~eN Human labor (N - no of humans) More efficient manual labor Automated production Automated intelligence, producing automation for production
  • 35. Civilization 4.0 key factors ● Quantum Computing ● Generic Artificial Intelligence ● Transhumanism ○ Life extension ○ Cyborgization ● Cosmic Expansion SINGULARITY
  • 36. AI + P2P Decentralization => Evolution From specialized AI towards Generic AIs https://medium.com/bica-labs/how-blockchain-relates-to-artificial-intelligence-f0111f39afc9
  • 37. Modern approach to #AI has grown from research of 1950s-60s and is outdated ➔ (quasi)Supervised Learning No ad hoc concept creation and feature extraction without previous knowledge ➔ Not a Brain Sampled after brain regions, but a brain region can’t mimic the whole ➔ Lack of Multiplicity Leads to noncompetitive development ➔ Enclosed There is no reflection and cross-agent knowledge exchange MODERN AI IS OUTDATED
  • 38. EVOLUTION HAPPENS WHEN SELECTION ACTS ON A DIVERGING POPULATION WHILE MODERN NEURONETS ARE SINGULAR
  • 40. INFORMATION TRANSFER: ● species exchanges genes via viruses ● cells emit chemical and electric signals ● animals communicate via mimics and emotions ● humans — via language WHAT ABOUT #AI?
  • 42. CONSENSUS: each agent gets the same sense of a signal as others – DNA translation will be the same for bacteria as for a human being – written text is understood in the same way by all native speakers
  • 43. PERSISTENCE: the sense of the signal does not diminish with time – DNA in chromosomes do not change during the live of the most cells – Egyptian hieroglyphs could still be understood by researchers
  • 44. BLOCKCHAIN IS PERFECT BOTH FOR CONSENSUS AND PERSISTENCE RENDERING MULTI-AGENT #AI AS AN EVOLVING SELF-ORGANIZED SYSTEM
  • 46. What blockchain lacks to enable more efficient AI ● Geo-binding (spatial bindings) ● Oracles (physical world bindings) ● Distributed data storage (IPFS etc) ● Speed higher transaction rates ● Application-level languages with new paradigms
  • 47. BICA Labs Laboratories for Biologically Inspired Cognitive Architectures orlovsky@bicalabs.org http://bicalabs.org @BICALabs fb.com/BICALabs linkedin.com/company/BICA-Labs medium.com/BICA-Labs
  • 48. Private foundation & task force supporting disruptive technologies and radical innovations having potential to change the world hello@eventhorizons.org http://eventhorizons.org @EvHorizons fb.com/EvHorizons linkedin.com/company/Event-Horizons medium.com/Event-Horizons
  • 49. Cloud Business City Virtual accelerator for IT startups cloudbusinesscity.com