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ethics#scraping👥 CommunityAnalyzed: Jan 13, 2026 23:00

The Scourge of AI Scraping: Why Generative AI Is Hurting Open Data

Published:Jan 13, 2026 21:57
1 min read
Hacker News

Analysis

The article highlights a growing concern: the negative impact of AI scrapers on the availability and sustainability of open data. The core issue is the strain these bots place on resources and the potential for abuse of data scraped without explicit consent or consideration for the original source. This is a critical issue as it threatens the foundations of many AI models.
Reference

The core of the problem is the resource strain and the lack of ethical considerations when scraping data at scale.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 10:12

AI's Unpaid Debt: How LLM Scrapers Destroy the Social Contract of Open Source

Published:Dec 19, 2025 19:37
1 min read
Hacker News

Analysis

The article likely critiques the practice of Large Language Models (LLMs) using scraped data from open-source projects without proper attribution or compensation, arguing this violates the spirit of open-source licensing and the social contract between developers. It probably discusses the ethical and economic implications of this practice, potentially highlighting the potential for exploitation and the undermining of the open-source ecosystem.
Reference

Product#Scraping👥 CommunityAnalyzed: Jan 10, 2026 10:37

Combating AI Scraping of Self-Hosted Blogs

Published:Dec 16, 2025 20:42
1 min read
Hacker News

Analysis

The article highlights an unconventional method to protect self-hosted blogs from AI scrapers. The use of 'porn' as a countermeasure is an interesting, albeit potentially controversial, approach to discourage unwanted data extraction.

Key Takeaways

Reference

The context comes from Hacker News.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 10:46

LLM Scraper – turn any webpage into structured data

Published:Apr 20, 2024 20:37
1 min read
Hacker News

Analysis

The article introduces LLM Scraper, a tool that transforms web pages into structured data. The focus is on its functionality and potential applications, likely highlighting its ability to extract information and format it for various uses. The source, Hacker News, suggests a technical audience interested in practical applications of LLMs.
Reference