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区块链需要人工操作吗知乎,区块链需要人工操作吗

发布时间:2023-12-05-23:33:00 来源:网络 区块链知识 区块   操作

区块链需要人工操作吗知乎,区块链需要人工操作吗

近年来,随着区块链技术的发展,越来越多的人开始关注区块链是否需要人工操作?

首先,需要澄清的是,区块链本身是一种基于分布式计算的数据库系统,它可以记录任何类型的数据,并且可以保证数据的安全性和一致性。因此,它的核心是自动化,不需要人工操作。

其次,区块链技术的发展,更多的是自动化的技术,它可以自动执行某些操作,例如自动执行交易,完成账户的更新等。因此,在区块链系统中,不需要人工操作,可以自动完成一些复杂的操作。

此外,区块链技术的发展,也改变了传统的中心化模式,让更多的人可以参与到区块链系统中。因此,每一个参与者都可以完成自动化的操作,而不需要人工操作。

总的来说,区块链技术的发展,使得更多的人可以参与到区块链系统中,而且可以完成自动化的操作,不需要人工操作。因此,可以说,区块链不需要人工操作。


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① What is the relationship between blockchain and artificial intelligence

Blockchain and artificial intelligence have many potential connections and interactions, and they can promote each other and make up for their shortcomings , so as to make progress together.

On the one hand, at the application level, artificial intelligence technology Liang Suichen can provide the blockchain platform with more complete data processing and analysis capabilities. For example, artificial intelligence technology can help blockchain platforms conduct large-scale data mining and analysis, discover hidden correlation patterns and trends, and improve data processing efficiency and security. At the same time, blockchain technology can also provide a more accurate, real-time, and credible data source for artificial intelligence algorithms by establishing a decentralized, non-tamperable data storage and transmission mechanism, further improving its decision-making and prediction capabilities.

On the other hand, at the technical research level, blockchain technology and artificial intelligence technology also have the possibility of integrating with each other and accelerating development. For example, some researchers apply blockchain technology to decentralized artificial intelligence training and data collaboration processes to solve issues such as privacy protection and data traceability in the current artificial intelligence field; other researchers are exploring How to use artificial intelligence algorithms to optimize and accelerate the blockchain transaction confirmation and on-chain data verification process, and further improve the development efficiency and security of blockchain technology.

In short, in the field of cross-application of blockchain and artificial intelligence, they can promote and support each other, and produce more complex and diversified technological innovation combinations, which can contribute to the development of the digital economy and enterprises. Have a positive impact.


② Blockchain helps the supply chain. How to prevent intermediate nodes from cheating? Where does the intermediate data come from? Is it manually input by the intermediate nodes or automatically generated?

< p>Please first understand what blockchain is and how it is applied in supply chain scenarios, and then you will understand what you are talking about. Although I will give you popular science, I am giving it to other readers. Yes, you don’t even understand what a blockchain is or what its essence is, so you ask this kind of question. To outsiders, your questions seem very professional, while insiders are laughing at you.

So, in application scenarios with blockchain technology as the underlying technology, what is verified is only the accuracy of the data itself, but the authenticity of the associated physical objects cannot be verified. As you said It is said that if the data input is wrong, the data saved in the blockchain will also be wrong, but it cannot be changed again. This is also a drawback of blockchain technology, but this does not mean that blockchain technology has no application scenarios. It still has great uses, but I won’t go into them here.

③ Blockchain and artificial intelligence: a perfect match

01

Blockchain and artificial intelligence are currently the two hottest technology trends. Although the two technologies have highly different developers and applications, researchers have been discussing and exploring their combination.

PricewaterhouseCoopers predicts that by 2030, artificial intelligence will add $15.7 trillion to the world economy, so global GDP will grow by 14%. According to Gartner's forecast, the business value brought by blockchain technology will increase to US$3.1 trillion in the same year.

By definition, a blockchain is a distributed, decentralized, immutable ledger used to store encrypted data. Artificial intelligence, on the other hand, is the engine or “brain” that enables analysis and decision-making from collected data.

It goes without saying that each technology has its own level of complexity, but both artificial intelligence and blockchain are in a position where they can benefit and help each other.

Since both technologies can influence and act on data in different ways, their combination makes sense and can take data utilization to the next level. At the same time, integrating machine learning and artificial intelligence into blockchain, and vice versa, can enhance the infrastructure of blockchain and enhance the potential of artificial intelligence.

In addition, blockchain can make artificial intelligence more coherent and understandable, and we can track and determine why decisions are made in machine learning. Blockchain and its ledger can record all the data and variables used to make decisions under machine learning.

In addition, artificial intelligence can improve the efficiency of blockchain better than humans. As evidenced by a look at the way blockchain is currently run on standard computers, even basic tasks require significant amounts of processing power.

Intelligent computing power

If you want to run a blockchain and all its encrypted data on a computer, you need a lot of processing power. For example, the hashing algorithm used to mine Bitcoin takes a "brute force" approach, which is to systematically enumerate all possible candidates for a solution and check whether each candidate satisfies the problem statement before validating a transaction.

Artificial intelligence provides us with an opportunity to get out of this dilemma and handle tasks in a more intelligent and efficient way. Imagine a machine learning-based algorithm that, if given the proper training data, can actually improve its skills "in real time."

Create diverse data sets

Unlike artificial intelligence-based projects, blockchain technology creates a decentralized, transparent network where anyone around the world can Access these networks in a public network environment. While blockchain technology is a ledger for cryptocurrencies, blockchain networks are now being used in many industries to enable decentralization. For example, Singuarlitiynet is specifically focused on using blockchain technology to encourage wider distribution of data and algorithms, helping to ensure the future development of artificial intelligence and "decentralized artificial intelligence".The creation of "able".

SingularityNET combines blockchain and artificial intelligence to create a smarter, decentralized artificial intelligence blockchain network that can host different data sets. By creating an application on the blockchain Programming interface that will allow mutual communication between artificial intelligence agents. Therefore, different algorithms can be built on different data sets.

Data Protection

The development of artificial intelligence is completely Dependent on the input of data - our data. Artificial intelligence receives information about the world and what is happening in the world through data. Basically, data is the source of artificial intelligence, through which artificial intelligence will be able to continuously improve itself.

Blockchain, on the other hand, is essentially a technology that allows data to be stored encrypted on a distributed ledger. It allows the creation of completely secure databases that can be viewed by approved parties. When zones When blockchain and artificial intelligence are combined, we have a backup system for an individual’s sensitive and high-value personal data.

Medical or financial data is too sensitive to be handed over to a company and its algorithms. This data is stored on a blockchain that can be accessed by artificial intelligence, but only with permission and through appropriate procedures, to provide us with personalized recommendations while safely storing sensitive data.

Data Monetization

Another disruptive innovation that may come from combining these two technologies is data monetization. For big companies like Facebook and Google, monetizing the data they collect is an Huge revenue stream.

Letting others decide how to sell data in order to generate profits for businesses shows that data is being commercialized, and to our detriment. Blockchain allows us to cryptographically protect our data and Use it as you see fit. This also allows us to personally monetize the data if we choose, without compromising our personal information.

The same goes for AI programs that need our data .In order to learn and develop AI algorithms, AI networks will be required to purchase data directly from their creators through data markets. This will make the entire process fairer than it is now, and no technology giants can take advantage of its users.

Such a data market would also be open to smaller companies. Developing and delivering AI is prohibitively expensive for companies that do not generate their own data. Through a decentralized data market, they would be able to access other data that would be too expensive and private Saved data.

Trusting AI Decisions

As AI algorithms become smarter through learning, it will become increasingly difficult for data scientists to understand how these programs arrive at specific conclusions and decision-making. This is because AI algorithms will be able to handle difficultConfidence in large amounts of data and variables. However, we must continue to review the conclusions drawn by AI because we want to ensure they still reflect reality.

By using blockchain technology, all data, variables and processes used by artificial intelligence in decision-making have an immutable record. This makes the entire process of auditing much easier.

Through appropriate blockchain procedures, all steps from data input to conclusion can be observed, and the observing party will ensure that the data has not been tampered with. It allows people to trust the conclusions drawn by artificial intelligence. This is a necessary step because individuals and companies won’t start using AI applications if they don’t understand their capabilities and the information underlying their decisions.

The combination of blockchain technology and artificial intelligence remains a largely undiscovered area. Although the fusion of these two technologies has received considerable academic attention, there are still few projects dedicated to this groundbreaking combination.

Combining these two technologies has the potential to use data in ways never before possible. Data is a key element in developing and enhancing AI algorithms, and blockchain protects this data, allowing us to audit all the intermediate steps by which AI draws conclusions from the data, and allows individuals to monetize the data it generates.

Artificial intelligence can be incredibly revolutionary, but it must be designed with extreme care—and blockchain can help a lot with that. How the interplay between these two technologies will develop is anyone’s guess, however, its true potential for disruption is clearly present and developing rapidly.

④ I only registered a blockchain account but did not operate it myself. Is there any danger?

No danger.
Although the blockchain has been registered, as long as you do not do anything illegal, there will be no danger.
Blockchain is a chain composed of blocks one after another. Each block stores a certain amount of information, and they are connected into a chain in the order in which they were generated. This chain is saved in all servers. As long as one server in the entire system can work, the entire blockchain is safe.