The semantic web is now widely adopted (csvbase.com)

Article summary

The article discusses the concept of the Semantic Web, which is about making websites machine-readable, and how it has become widely adopted. The author explains how JSON-LD is used to add metadata to web pages, making it easier for search engines and other bots to understand the content. The article also touches on the idea that the Semantic Web is not a new concept, but rather a revival of an old idea that was previously known as Web 3.0. The author argues that the Semantic Web is already here and is being used by many websites, including social media platforms and search engines.

Main themes

• Semantic Web
• Machine-readable websites
• JSON-LD
• Web 3.0
• Metadata
• Search engine optimization

What commenters say

• Large language models may make the Semantic Web redundant, as they can extract metadata automatically, but this may not always be accurate or efficient.
• The use of metadata can be abused by SEO optimizers, and relying on large language models for categorization may be a better solution.
• The cost and environmental impact of training large language models may outweigh the benefits of using them for metadata extraction.
• The Semantic Web has the potential to provide more accurate and reliable metadata than large language models, which can be prone to errors.
• The use of blockchain technology and cryptocurrencies is not necessarily related to the concept of the Semantic Web, and has its own set of benefits and drawbacks.
• The development of dedicated co-processors for handling large language models may make them more efficient and cost-effective in the future.
• The value of human-generated content and metadata lies in its authenticity and emotional resonance, which may be lacking in machine-generated content.
• The comparison between blockchain technology and large language models is not entirely fair, as they have different use cases and applications.