# 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.

- Canonical: https://extractfeed.io/story/apify-explains-model-collapse-and-how-web-scraping-can-preve-ed96088/
- JSON: https://extractfeed.io/api/v1/stories/apify-explains-model-collapse-and-how-web-scraping-can-preve-ed96088.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-15T00:02:22.767741+00:00 · Updated: 2026-10-15T00:02:22.767741+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## 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](https://blog.apify.com/improve-ai-models-web-scraping-data-augmentation/)

## Watch next
Will more AI vendors adopt web scraping as a standard part of their training data pipelines to combat model collapse?

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

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