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Over the course of history, there were very few moments when two transforming techniques appeared in parallel – and even rarely their paths were converging with ways to amplify each other. This is exactly what we are currently witnessing
We may need to look back until the late nineteenth and early twentieth century to see the last example of this kind of rapprochement. During this period, two apparently separate innovations appeared, electricity and internal combustion engine, almost simultaneously. Each of them was revolutionary on its own. Electricity redefined how to communicate and work and sheds light on the world. The internal combustion engine diverted the transport, which led to the emergence of cars, planes and global logistical services.
Their common effect was greater. Together, they operated the second industrial revolution, reshaped economies and societies and the speed of modern life.
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Over the past decade, artificial intelligence has jumped from the science fiction world in our phones, homes and workplaces. At the same time, Blockchain is ripened from the technology on which Bitcoin is based to the foundation stone for the new decentralized infrastructure for all types of companies. Although both technicians are strong in itself, their rapprochement is more profound: a future where independent programs – backed by artificial intelligence, governed by Blockchain – redefine how we interact, deal and build confidence in the digital world.
We are now on the threshold of a new model of artificial intelligence:
Since artificial intelligence agents bear more responsibility, they also take over more strength – and with strength the need for accountability comes. This is where Blockchain is entering the equation – not only as a supplementary tool, but as a necessary basis for the AIGNIC AI.
Think about how we trust in the quality of the used car. Not only take the seller’s word – we check the Carfax report, review the date of service and verify Vin. We need to know the location of the car, how it was used and whether it is reliable. Why should independent artificial intelligence be different?
In order to support important important commercial operations, and often in very financial services industries such as financial services, artificial intelligence agents will need “Carfax Blockchain”-a tampering record of their training data, updating the date of performance, and decision records. Blockchain provides exactly that: an uncontrolled, transparent and disgraceful system. It is the script that he needs strongly.
The relationship, however, is not one side. Blockchain also needs artificial intelligence.
Blockchains, especially the public, are born huge amounts of data. Artificial intelligence can help us understand these data – patterns analysis, discover abnormal conditions and improve network performance in actual time. In decentralized financing, for example, AI can automate complex operations such as improving the return, providing liquidity, and chain pleasure. Instead of manually moving across dozens of protocols and chains, users will rely on smart agents to deal with heavy lifting – all while Blockchain guarantees that these agents act in good faith.
This synergy becomes more important when we reduce and look at the broader digital economy.
While we move towards a world of excessive berries, where machines speak with machines and devices that deal with each other in real time, the traditional financial infrastructure begins to show their life. Imagine a smart car that pays losses or drone that restores itself in the middle of the road or the thermostat negotiating energy prices on your behalf. These are the exact transactions, often measured in the hundred fractures, and they must happen immediately, on a large scale and without intermediaries. This is a long arrangement for the old banking system.
Blockchain, with its decentralized structure and original support for programming funds, specially designed for this role. It provides an unreliable settlement layer of transactions from one machine to another while artificial intelligence provides intelligence to make these transactions in time and related.
Of course, nothing of this is science fiction. We already see early examples formed. Independent artificial intelligence agents are published in financing, logistics and customer service, to name a few. Blockchain is used to verify identities, secure supply chains and a code of everything from real estate to property rights. The seeds were planted. What will happen after that is the range – but with our construction, we must build responsibly.
Artificial intelligence is good only like the data that is trained on it, and Blockchains is worthy of confidence as the bases integrated in its design. By combining the two, we get the best in both worlds: artificial intelligence models that can be reviewed, explained and verified – and Blockchain systems are more intelligent, faster and more responsive to the needs of users.
This rapprochement will also accelerate open innovation. Instead of closed ecosystems of artificial intelligence controlled by a handful of major technology giants, Blockchain provides a more democratic model – where models, data, agents can be shared, improved and even liquefied over decentralized networks. Imagine a market for artificial intelligence agents, each with a busy record in Blockchain, competing to provide the best service at the best price. This is not more efficient, it’s more fair.
I have long believed that the next generation of institution technology would be smart and uncovered. AICECANC AI confirms this vision, but it also challenges us to think bigger.
How does the world look when confidence is built into every treatment, and intelligence flows through every knot? When independent factors serve us not only efficiently, but transparently? When innovation is not gates through the monopolies of the basic system, but unleash by open ecosystems?
It seems that it is a future worth building – and we will go there.
