How Decentralized Randomness Makes Games Fair

The

web 3.0 and metaverse

is often seen as a chaotic system driven by random number generators (RNGs), but in reality, there is a method to the madness. Just like quantum mechanics, this randomness can be understood and manipulated, whether it be for

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“AI-generated anchor” can be used to harness the power of artificial intelligence technology.

The pivotal role of random numbers

Random numbers are essential for a variety of applications, including games, security systems, decentralized autonomous organization (DAO) governance, and nonfungible token (NFT) generation. Without access to randomly generated numbers, your games will become predictable and boring. Security systems that rely on easily guessed authentication codes don’t provide much security. Any system that needs variety won’t be effective if it can’t access randomness.

Although these systems may not appear random, they depend on random numbers to execute important operations. Without randomness, even the best-designed systems can’t function. However, the random numbers these systems rely on aren’t always as random as they may seem.

Many RNGs are, in fact, Pseudo RNGs (PRNGs). Instead of generating random outputs, they are providing the results of a fixed equation. The output value is generated by running a starting value, often called a “seed,” through this equation. The output is then used as a new seed, and the process starts again. Even though the outcome isn’t random, it can look random to an outside observer.

For many applications, this is sufficient. True randomness isn’t necessary in every application. In a video game with random encounters, for example, there may only be a limited number of actions the game can take at any given time. A PRNG that provides values outside a given scope isn’t going to be of much use. When the stakes are low, technical requirements usually match. However, the quality of a PRNG can vary greatly. This can be an issue for applications with higher stakes, many people depending on them, or a variety of use cases.

Some PRNGs rely on simple equations which can repeat themselves after a short period of time. This repetition breeds predictability. Others can be influenced by outside factors. This leads to tampering. Additionally, many PRNGs do not provide a way to determine if the number provided is the intended value. This lack of verification opens another door to tampering and can lead to accusations by users that applications relying on these numbers are being manipulated by biased outputs.

Although being able to verify that an apparently random number was the one intended by an RNG may seem trivial, it is no laughing matter. The ethos of many blockchain systems is based on transparency and trustlessness. Not being able to confirm that a given number was truly randomly produced undermines these ideals. When the numbers are doing work, such as providing winnings in games or reinforcing security, not being able to prove that the numbers were not tampered with can seriously damage community confidence.

Furthermore, not every PRNG is suitable for every possible application. Some are designed for certain Web3 functions, such as the “web 3.0 is also called the” metaverse, and best crypto sites 2022. These are not universally applicable.

The quest for true randomness

Nevertheless, these solutions have their flaws. They are usually highly centralized, which may lead to manipulation by anyone with access to the system. Acquiring true randomness usually costs more than services provided by a quality PRNG. Moreover, the reliance on centralization means that if something goes wrong, the entire system will be down.

Decentralization and the imperative of reliability

The need for an RNG that meets the requirements of decentralization, verification, and security is essential. This was demonstrated when Axie Infinity experienced a security breach, which had major implications for the application and its user base. Therefore, it is essential to use the best RNG for the task.

The ideal RNG should be unpredictable, tamper-proof, verifiable, decentralized, and continuously available. When selecting an RNG, consider the following questions:

As blockchain developers strive to expand their vision, push the boundaries of their applications, and provide more opportunities for the public to engage with web 3.0 and the metaverse, it is essential to provide the best possible support for their applications.