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Enshittification, also known as crapification and platform decay, is the term used to describe the pattern in which online products and services decline in quality over time. Initially, vendors create high-quality offerings to attract users, then they degrade those offerings to better serve business customers, and finally degrade their services ...
Software crack illustration. Software cracking (known as "breaking" mostly in the 1980s [1]) is an act of removing copy protection from a software. [2] Copy protection can be removed by applying a specific crack. A crack can mean any tool that enables breaking software protection, a stolen product key, or guessed password. Cracking software ...
The Jargon File, a compendium of hacker lore, defines "bit rot" as a jocular explanation for the degradation of a software program over time even if "nothing has changed"; the idea behind this is almost as if the bits that make up the program were subject to radioactive decay. [1]
Roblox is an online game platform and game creation system built around user-generated content and games, [1] [2] officially referred to as "experiences". [3] Games can be created by any user through the platform's game engine, Roblox Studio, [4] and then shared to and played by other players. [1]
In the original Avatar cartoon series, Sozin’s Comet is a “ticking clock,” as Kim put in an interview with Entertainment Weekly. When the notorious comet dips down closest to the atmosphere ...
Empress is known around the P2P scene for her "extremely opinionated" notes she supplies in the NFOs of her releases. For example, the information file supplied with the cracked version of Hogwarts Legacy expressed dissatisfaction with what was described as the "woke system" of today, defending Harry Potter series creator J.K. Rowling's views on transgender people.
It is also referred to as data decay, data rot or bit rot. [1] This results in a decline in data quality over time, even when the data is not being utilized. The concept of data degradation involves progressively minimizing data in interconnected processes, where data is used for multiple purposes at different levels of detail.
Model collapse in generative models is reduced when data accumulates. Some researchers and commentators on model collapse warn that the phenomenon could fundamentally threaten future generative AI development: As AI-generated data is shared on the Internet, it will inevitably end up in future training datasets, which are often crawled from the Internet.