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Microsoft, Meta, and Amazon Pay for Corporate Access to Wikipedia

Wikimedia Foundation announced that Microsoft, Meta, Amazon, Perplexity, and Mistral AI are paying for access to Wikipedia Enterprise. This is an initiative pro

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Microsoft, Meta, and Amazon Pay for Corporate Access to Wikipedia
Source: The Verge. Collage: Hamidun News.
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Large technology giants such as Microsoft, Meta, and Amazon now pay the Wikimedia Foundation for privileged access to Wikipedia content. This marks an important shift in relations between the nonprofit encyclopedia and corporations that use its data for commercial purposes, especially for training artificial intelligence models.

Wikimedia Enterprise, launched in 2021, offers companies structured and optimized access to vast amounts of Wikipedia data. Previously, Google already paid for such access, and now Microsoft, Meta, Amazon have joined it, as well as startups Perplexity and Mistral AI. This move allows the Wikimedia Foundation to generate stable revenue necessary to maintain and develop Wikipedia, and enables companies to use its data more efficiently.

The main difference between Wikimedia Enterprise and free access lies in data quality and structure. The commercial API version provides higher reliability, speed, and ease of integration with corporate systems. Additionally, it is specifically adapted for machine learning tasks, which is particularly important for companies developing AI models.

For companies developing large language models (LLMs), access to Wikipedia is critically important. Wikipedia provides a huge volume of structured and verified information that can be used for training and improving AI. However, free access to Wikipedia can be unstable and not optimized for machine learning tasks. Wikimedia Enterprise solves this problem by providing companies with a reliable and convenient data source.

This move has serious implications for the artificial intelligence industry. On one hand, it allows the Wikimedia Foundation to secure funding and maintain its operations. On the other hand, it creates a potential barrier to entry for small companies and startups that cannot afford to pay for Wikipedia access. Also, this may result in AI models developed by large companies having an advantage, since they will be trained on higher quality data.

Moreover, the agreement underscores the growing value of data in the AI era. Information collected and organized by Wikipedia is becoming an increasingly important resource for companies seeking to develop and implement AI technologies. This also raises questions about the ethics of data use and how to ensure fair access to it.

In conclusion, the transition to paid access to Wikipedia for large companies is an important step that will affect the development of both the encyclopedia itself and the artificial intelligence industry. This underscores the need to find sustainable business models to support public resources in the era of digital technologies and AI.

ZK
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