Apify explains model collapse and how web scraping can prevent it

Apify publishes a blog post detailing the phenomenon of model collapse in AI models and how incorporating real web data can mitigate it.

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Briefing

Apify: Apify publishes a blog post detailing the phenomenon of model collapse in AI models and how incorporating real web data can mitigate it.

Why it matters

This post highlights a growing concern in the AI community: models trained on synthetic data degrade over time, losing rare knowledge. By promoting web scraping as a solution, Apify positions its core product as essential infrastructure for maintaining model quality, reinforcing the value of fresh, human-generated data in training pipelines.

Sources

Primary source · Apify · 2026-10-14 — Model collapse: why AI models degrade and how to prevent it

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Topics: Apify, GPT-2, model-collapse, ai-training, web-scraping, data-augmentation, synthetic-data