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Software entropy describes a tendency for repairs and modifications to a software system to cause it to gradually lose structure or increase in complexity. [11] Manny Lehman used the term entropy in 1974 to describe the complexity of a software system, and to draw an analogy to the second law of thermodynamics .
The proposed (and eventually abandoned) changes to the Unity game engine's licensing model in 2023 were described by Gameindustry.biz as an example of enshittification, as the changes would have applied retroactively to projects which had already been in development for years while degrading quality for both developers and end users, while ...
Unity Software Inc. (doing business as Unity Technologies) [3] is an American video game software development company based in San Francisco.It was founded in Denmark in 2004 as Over the Edge Entertainment and changed its name in 2007.
The maker of the Unity Engine software said in a blog post on Thursday that it will revert to its "existing seat-based subscription model for all gaming customers" and implement price increases ...
(Reuters) - Unity Software's shares rose nearly 10% on Thursday as a cryptic post by "Roaring Kitty" on social media platform X sparked enthusiasm, following a challenging year for the videogame ...
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.
As of 2020, software built with Unity's game engine was running on more than 1.5 billion devices. According to Unity, apps made with their game engine account for 50 percent of all mobile games, and are downloaded more than 3 billion times per month, and approximately 15,000 new projects are started daily with its software.
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.