What Is the 0x Protocol?

The 0x (zero x) protocol is a protocol that enables the peer-to-peer exchange of assets on the Ethereum blockchain. The 0x protocol was launched in 2017 by 0x Labs, an organization based in San Francisco focused on creating new markets in the 0x ecosystem.

The protocol itself is not, by definition, a decentralized exchange; it allows for the creation of decentralized exchanges that can be used in broad applications.

Understanding the 0x Protocol

In the world of digital currencies, a protocol is a set of standard rules that can be used by a system (or by various transacting parties) to communicate with each other smoothly. The 0x protocol is essentially a standard messaging format that transacting entities can use to exchange digital assets or tokens.

The standard SWIFT messaging system used in the banking industry is similar to a protocol (except that it is used in a different context). Banks across the globe use the standard SWIFT messaging system to communicate about money transfers.

The system has a standard set of message fields defined for all users; their corresponding values are used in the SWIFT system to securely convey details between two parties, such as sender, recipient, amount, currency, source branch, and destination branch, among others.

Because each bank has adapted to the standard rules of the SWIFT messaging system, they can transact with each other directly. The situation would go awry if each bank followed its own distinct protocol because then they would have to adhere to a one-on-one communication channel with every other bank.

Goals of 0x

The goal of 0x Labs is to make the necessary infrastructure for the emerging cryptocurrency economy and enable markets to be created that couldn’t have existed before.

The 0x protocol attempts to work similarly to SWIFT, but in the context of operating decentralized exchanges for trading digital tokens and assets that run on the Ethereum blockchain. Built on the foundation of Ethereum token standards, 0x protocol acts as the key infrastructure layer for the burgeoning number of financial applications and instruments being created using blockchain technology and trading in digital forms.

With every passing day, tokens are becoming an increasing part of the world’s financial value. Consequently, the requirement to trade digital assets and tokens securely and efficiently is growing. With its clearly defined message formats and smart contracts, the 0x protocol attempts to answer this need.

It is used in a wide array of markets, such as gaming and financing, that enables users to trade tokens and assets.

ZRX is 0x’s native governance and staking token. ZRX owners have a say in how the protocol evolves, and token holders can also stake their tokens to earn ETH (the Ethereum token ether) liquidity rewards.

Special Considerations

The 0x protocol’s message format is composed of a set of data fields that carry vital information, such as the digital asset or token to be traded, the price value of the transaction, the expiration time, and the defined identities of the transacting parties.

Smart contracts take care of the necessary business logic for generating, sending, receiving, and processing the data linked to the trading activity. It also allows room for essential upgrades, if any, in the future. The provisions for upgrades are required if any changes are necessary for adhering to the modified regulations or any modifications linked to the intrinsic working of the Ethereum blockchain network.

The system also uses relayers, which act as order aggregators and broadcast orders from designated market participants to the marketplace or exchange.

Investing in cryptocurrencies and other Initial Coin Offerings (“ICOs”) is highly risky and speculative, and this article is not a recommendation by Investopedia or the writer to invest in cryptocurrencies or other ICOs. Since each individual’s situation is unique, a qualified professional should always be consulted before making any financial decisions. Investopedia makes no representations or warranties as to the accuracy or timeliness of the information contained herein. As of the date this article was written, the author does not own cryptocurrency.

What Is Artificial Intelligence (AI)?

Artificial intelligence (AI) refers to the simulation of human intelligence by software-coded heuristics. Nowadays this code is prevalent in everything from cloud-based, enterprise applications to consumer apps and even embedded firmware.

The year 2022 brought AI into the mainstream through widespread familiarity with applications of Generative Pre-Training Transformer. The most popular application is OpenAI’s ChatGPT. The widespread fascination with ChatGPT made it synonymous with AI in the minds of most consumers. However, it represents only a small portion of the ways that AI technology is being used today.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning (ML), which refers to the concept that computer programs can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Understanding Artificial Intelligence (AI)

When most people hear the term artificial intelligence, the first thing they usually think of is robots. That’s because big-budget films and novels weave stories about human-like machines that wreak havoc on Earth. But nothing could be further from the truth.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic it and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include mimicking human cognitive activity. Researchers and developers in the field are making surprisingly rapid strides in mimicking activities such as learning, reasoning, and perception, to the extent that these can be concretely defined. Some believe that innovators may soon be able to develop systems that exceed the capacity of humans to learn or reason out any subject. But others remain skeptical because all cognitive activity is laced with value judgments that are subject to human experience.

As technology advances, previous benchmarks that defined artificial intelligence become outdated. For example, machines that calculate basic functions or recognize text through optical character recognition are no longer considered to embody artificial intelligence, since this function is now taken for granted as an inherent computer function.

AI is continuously evolving to benefit many different industries. Machines are wired using a cross-disciplinary approach based on mathematics, computer science, linguistics, psychology, and more.

Applications of Artificial Intelligence

The applications for artificial intelligence are endless. The technology can be applied to many different sectors and industries. AI is being tested and used in the healthcare industry for suggesting drug dosages, identifying treatments, and for aiding in surgical procedures in the operating room.

Other examples of machines with artificial intelligence include computers that play chess and self-driving cars. Each of these machines must weigh the consequences of any action they take, as each action will impact the end result. In chess, the end result is winning the game. For self-driving cars, the computer system must account for all external data and compute it to act in a way that prevents a collision.

Artificial intelligence also has applications in the financial industry, where it is used to detect and flag activity in banking and finance such as unusual debit card usage and large account deposits—all of which help a bank’s fraud department. Applications for AI are also being used to help streamline and make trading easier. This is done by making supply, demand, and pricing of securities easier to estimate.

Types of Artificial Intelligence

Artificial intelligence can be divided into two different categories: weak and strong. Weak artificial intelligence embodies a system designed to carry out one particular job. Weak AI systems include video games such as the chess example from above and personal assistants such as Amazon’s Alexa and Apple’s Siri. You ask the assistant a question, and it answers it for you.

Strong artificial intelligence systems are systems that carry on the tasks considered to be human-like. These tend to be more complex and complicated systems. They are programmed to handle situations in which they may be required to problem solve without having a person intervene. These kinds of systems can be found in applications like self-driving cars or in hospital operating rooms.

Special Considerations

Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike. One common theme is the idea that machines will become so highly developed that humans will not be able to keep up and they will take off on their own, redesigning themselves at an exponential rate.

Another is that machines can hack into people’s privacy and even be weaponized. Other arguments debate the ethics of artificial intelligence and whether intelligent systems such as robots should be treated with the same rights as humans.

Self-driving cars have been fairly controversial as their machines tend to be designed for the lowest possible risk and the least casualties. If presented with a scenario of colliding with one person or another at the same time, these cars would calculate the option that would cause the least amount of damage.

Another contentious issue many people have with artificial intelligence is how it may affect human employment. With many industries looking to automate certain jobs through the use of intelligent machinery, there is a concern that people would be pushed out of the workforce. Self-driving cars may remove the need for taxis and car-share programs, while manufacturers may easily replace human labor with machines, making people’s skills obsolete.

What Is Aktiengesellschaft (AG)?

AG is an abbreviation of Aktiengesellschaft, which is a German term for a public limited company. This type of company shares are offered to the general public and traded on a public stock exchange. Shareholders’ liability is limited to their investment. The shareholders are not responsible for the company’s debts, and their assets are protected in case the company becomes insolvent. 

Understanding Aktiengesellschaft

Aktiengesellschaft is a German term made up of words meaning share and corporation. An AG is a business owned by shareholders which may be traded on a stock marketplace. Shareholders exercise power over controlling policies at regularly scheduled general meetings. The managing board decides on all operational matters, and the supervisory board carries them out.

German companies that are publicly traded are designated as such by the letters ‘AG’ after the company name. ‘AG’ is an abbreviation for the German word Aktiengesellschaft, which literally translates to ‘stock corporation’ or ‘shares corporation’ in English. AG companies trade publicly on stock exchanges with the majority of companies trading on the DAX.

Some of the largest German AG corporations include its automotive manufacturers:

Establishing an AG

Setting up an AG requires five or more members. An Aktiengesellschaft (AG) is subject to the Stock Corporation Act. This act involves share capital of approximately $56,000, with at least half paid at registration. The business owner will enlist the services of an attorney or bank in preparing documentation for registration.

The Aktiengesellschaft’s name will come from the enterprise’s purpose and contains the word Aktiengesellschaft in its title. The articles of association include the corporation’s name, registered office, share capital, each shareholder’s contribution, and details regarding the shares. A court or notary will authenticate the articles of association. 

The required capital is deposited into a banking account, and the notarized documents and signed application submitted to the Commercial Registry Office. The AG will become a legal entity within seven days if all materials are in order. The Office will issue a certificate of registration, and publish news of the establishment in the Swiss Official Gazette of Commerce.

AG Oversight

An AG has a managing board of one or more members appointed by and reporting to, the supervisory board of three or more members. An Aktiengesellschaft (AG) with a share capital of $3 million or more has two or more managing board members. An AG employing over 500 workers will have employee representatives occupying one-third of the supervisory board. If the employee number exceeds 2,000, employee representatives will fill half of the board. Also, the articles of association may limit the number of members.

Auditors check the corporation’s financial documents. Meeting three or more of the following conditions for two or more years in a row requires an ordinary company audit: the company has more than 50 full-time employees; revenues exceed $2 million, or the balance sheet exceeds $100,000.

GMbH vs. AG

GmbH is another common business extension primarily known for its use in Germany. Like most countries, Germany has two distinct classifications for companies: publicly traded and privately held. While AG refers to public companies, the acronym ‘GmbH’ is used to designate certain private entities and is written after a company’s name. The letters stand for Gesellschaft mit beschränkter Haftung which translated literally, means a ‘company with limited liability.’