How AI Models Get Data From the Internet: A New Layer of AI Infrastructure

The AI boom demands data at industrial scale, but most of the web is out of reach for models: content is blocked, unstructured or locked behind paywalls. MIT Technology Review reports the emergence of a new infrastructure layer. Companies now specialize in sourcing, structuring and delivering web data to AI teams. It is a new niche between the open internet and LLMs.

AI-processed from MIT Technology Review; edited by Hamidun News
How AI Models Get Data From the Internet: A New Layer of AI Infrastructure
Source: MIT Technology Review. Collage: Hamidun News.
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Neural networks and AI models need up-to-date data from the internet, but getting it in a ready-to-use form is extremely hard, even though the web holds information in abundance.

Why can't neural networks simply take data from websites?

The web was built for people, not machines. Pages serve their content in multilayered HTML. Sites block automated access with CAPTCHA.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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