Blockchain & AI are the major architecture techs of our time. Its convergence is a key factor for the present & future of tech. These emerging & foundation technologies deal with data, value storage + creation and lead the digital transformation of the 4IR.
The history of Artificial Intelligence AI began in antiquity, with the power of imagination – myths, stories, rumours making artificial beings endowed with intelligence or consciousness by master craftsmen, magic.
The History of Blockchain & Ledgers start when the first recorded ledgers systems were found in Mesopotamia, today’s Iraq, 7000+ years ago. Clay tablets were used to record lists of expenditures and goods received and traded. At the time, the ledgers of Mesopotamia were safe-kept in temples that were considered the banks of the time.
Turing Test Alan Turing published a landmark paper in 1950 in which he speculated about the possibility of creating machines that think. Turing noted that “thinking” is difficult to define and devised his famous Turing Test. This was after the benchmark to define the vision of AI our AI vision and all its variations still owns a lot to Turing
Blockchain technology was first outlined in 1991 by Stuart Haber and W. Scott Stornetta two researchers who wanted to implement a system where document timestamps could not be tampered with.
Blockchain & AI convergence
When Satoshi Nakamoto, released the whitepaper Bitcoin: A Peer to Peer Electronic Cash System in 2008 that described a “purely peer-to-peer version of electronic cash” known as Bitcoin blockchain technology made its public debut.
Blockchain + AI are the major architecture techs of our time. Its convergence is a key factor for the present & future of tech. These emerging & foundation technologies deal with data, value storage + creation.
Blockchain & AI convergence combined create solutions, scaled technology and business infrastructure that are changing our society and world 360. They are the biggest challenge in history of human society
The common 3 types of AI:
1. narrow or weak AI,
2. general or strong AI,
3. artificial general superintelligence – AGI
Blockchain 3 iterations
Blockchain 1.0 – Public chain 1st iteration Bitcoin – copycat coins, cryptocurrencies – inception of ICOs finance + digital transactions payments.
Blockchain 2.0 – Ethereum – Hyperledger + Public chain Alliances – emergence of Private chains – decentralised apps – Dapps;
Blockchain 3.0 – present future industrial Blockchain – supply chain – advanced Super smart AI contracts with decentralised computing capacities.
On one hand, Blockchain builds a foundational encryption architecture that enables secure digital storage and sharing, rewarding with data or anything of value.
AI in its present inception, creates a foundational direction to gather, analyze, generate and predict insights from data which manages value and augments human, society, business intelligence.
Major challenges we face as humanity when we develop and research AI is who owns the data that feeds AI and who benefits from it. Ben Goertzel AI in its present inception is all fueled with data – from our businesses, governments, personal…
In order to understand blockchain and AI, one needs to look at the basic architecture systems of our society – intelligence and how to manage the biggest assets of our society – our time, our data – the management of our attention.
AI in its present iteration needs Data – Big data – a series of interconnected systems that looks at massive amounts of all our personal, society and scientific data, analyzes and learns with it.
AI’s – especially Machine learning – development is particularly interesting when use for Data as it is capable to deal with big chunks of data systematically, extracts information, and “read” it. These chunks of data sets are increasingly larger and complex as we increase digital transformation.
This is particularly important as we look at digitising all the areas of society with digital transformation tools and creating new areas that require new ways outside of the traditional data-processing application software to manage.
Four main considerations to look when thinking about Blockchain-AI convergence
1) Redesign and create a new distributed artificial intelligence – making sure that AI evolves in an integrated distributed open source open way where different sources interact with each other and can learn and grow in a global scale and secure way.
“Blockchain is a powerful technology in the sense of computing systems without requiring central systems – it has a potential to play a system in the AI evolution in the way to decentralise and manage the multiple systems in AI.” — Ben Goertzel
2) Together will enable and create advanced digital trust and transparency that will create a new internet of value and digital transform our society enabled + managed by trust.
3) Will allow better interconnectivity between marketplaces, ecommerce and services, goods when it comes to digital track record infrastructure and data.
4) Optimise and secure identity – ID and Increase the overall more secure and clear UI User Journey.
Blockchain & AI convergence can be summarised in three areas
1. Blockchain and AI require big data open and shared:
While blockchain relies on open data ID & APIs, special integration and sharing, AI applications can benefit from big data multiple ways to sharing as well, with the idea that more the data, better the algorithm will be.
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with artificial intelligence we’re summoning the demon.” — Elon Musk
2. Blockchain & AI require advanced ethics + security:
Both technologies introduce new advanced infrastructure for security, transparency and ownership or data + intelligence. Decentralized ledgers and smart contracts in blockchain and automated analysis, predict elements and decision making in AI.
“The upheavals [of artificial intelligence] can escalate quickly and become scarier and even cataclysmic. Imagine how a medical robot, originally programmed to rid cancer, could conclude that the best way to obliterate cancer is to exterminate humans who are genetically prone to the disease.” — Nick Bilton
3. Blockchain and AI require trust, ethics and governance:
They must be regulated, compliant, auditable, and adhere to high levels of global compliance and regulation policymaking, and uphold the highest humanitarian levels of values and transparency and secure identity and 360 level of access.
“Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold.” —Ray Kurzweil
“The primary applications of AI today are: selling, killing, spying and gambling!” — Ben Goertzel
We must drive towards benevolent AI Blockchain tech convergence – to get the best potential outcome for our species. The way we work now to find a human nature centric human AI blockchain convergence will define our new stage of human evolution! We need to work on this in a collaborative, ethic, benevolent way! NOW!
Dinis Guarda is the founder of intelligenthq.com and an author, serial entrepreneur and CEO of ztudium that manages openbusinesscouncil.org, fashionabc.org, blocksdna.com, lifesdna.com.
He creates and helps build ventures focused on global growth, 360 digital strategies, sustainable innovation, Blockchain, Fintech, AI and new emerging business models such as ICOs / tokenomics.
Dinis is the founder/CEO of ztudium that manages blocksdna / lifesdna. These products and platforms offer multiple AI P2P, fintech, blockchain, search engine and PaaS solutions in consumer wellness healthcare and life style with a global team of experts and universities.
He is the founder of coinsdna a new swiss regulated, Swiss based, institutional grade token and cryptocurrencies blockchain exchange. He is founder of DragonBloc a blockchain, AI, Fintech fund and co-founder of Freedomee project.
Dinis has created various companies namely Ztudium, a tech, digital and AI blockchain startup that builds cutting edge software, big data insights, publishes intelligenthq.com, hedgethink.com, fashionabc.org, openbusinesscouncil.org and tradersdna.com, citiesabc.com among others.
Dinis is the author of various books. His upcoming books “4IR AI Blockchain Fintech IoT Reinventing a Nation“, “How Businesses and Governments can Prosper with Fintech, Blockchain and AI?”, also the bigger case study and book (400 pages) “Blockchain, AI and Crypto Economics – The Next Tsunami?” last the “Tokenomics and ICOs – How to be good at the new digital world of finance / Crypto” will be launched in 2018.
Some of the companies Dinis created or has been involved have reached over 1 USD billions in valuation. Dinis has advised and was responsible for some top financial organisations, 100 cryptocurrencies worldwide and Fortune 500 companies.
Dinis is involved as a strategist, board member and advisor with the payments, lifestyle, blockchain reward community app Glance technologies, for whom he built the blockchain messaging / payment / loyalty software Blockimpact, the seminal Hyperloop Transportations project, Kora, and blockchain cybersecurity Privus.
He is listed in various global fintech, blockchain, AI, social media industry top lists as an influencer in position top 10/20 within 100 rankings: such as Top People In Blockchain | Cointelegraph https://top.cointelegraph.com/ and https://cryptoweekly.co/100/ .
He has been a lecturer at Copenhagen Business School, Groupe INSEEC/Monaco University and other leading world universities.
He is a shareholder of the fintech social money transfer app Moneymailme and math edutech gamification children’s app Gozoa.
Between 2014 and 2015 he was involved in creating a fabbanking.com a digital bank between Asia and Africa as Chief Commercial Officer and Marketing Officer responsible for all legal, tech and business development. Between 2009 and 2010 he was the founder of one of the world first fintech, social trading platforms tradingfloor.com for Saxo Bank. In 2011 he created the B2B platforms socialmediacouncil.org and openbusinesscouncil.org with Jamie Burke.