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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

Microsoft, Meta, and Amazon Pay for Corporate Access to Wikipedia
Источник: The Verge. Коллаж: Hamidun News.

The largest tech giants, such as Microsoft, Meta, and Amazon, are now paying Wikimedia Foundation for privileged access to Wikipedia content. This marks a significant shift in the relationship between the nonprofit encyclopedia and corporations using its data for commercial purposes, especially for training artificial intelligence models.

Wikimedia Enterprise, launched in 2021, offers companies structured and optimized access to Wikipedia's vast data repository. Previously, Google was already paying for such access, and now Microsoft, Meta, Amazon, as well as startups Perplexity and Mistral AI, have joined in. This move allows Wikimedia Foundation to generate a stable revenue stream necessary for maintaining and developing Wikipedia, while giving companies more efficient access to its data.

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

For companies developing large language models (LLM), access to Wikipedia is critically important. Wikipedia provides a vast volume of structured and verified information that can be used to train and improve AI. However, free access to Wikipedia can be unreliable and is 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 Wikimedia Foundation to secure funding and sustain its operations. On the other hand, it creates a potential barrier to entry for smaller companies and startups that cannot afford to pay for Wikipedia access. It could also lead to AI models developed by large companies having an advantage, as they would be trained on higher-quality data.

Furthermore, 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 deploy AI technologies. This also raises questions about the ethics of data usage and how to ensure fair access to it.

In conclusion, the shift to paid Wikipedia access for large companies is a significant step that will affect the development of both the encyclopedia itself and the artificial intelligence industry. It highlights the need to find sustainable business models for maintaining public resources in the era of digital technologies and AI.

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