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Common Crawl serves as foundational infrastructure for generative AI development. The controversies around CCBot illustrate ongoing tensions between open web archiving, publisher rights, and commercial machine learning training.
Common Crawl originally aimed to democratise web data access and reduce duplicate scraping loads on website infrastructure. However, commercial AI training transformed it into a battleground over content rights, as demonstrated by publisher backlash, crawler bans, and reporting that exposed gaps between public removal claims and actual scraping practices.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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Article:Wikipedia contributors
Reinforcement learning from human feedback (RLHF) is a machine learning method designed to align intelligent agents with human preferences. Instead of manually specifying hardcoded reward functions, human annotators rank model responses. A reward model is trained on these comparisons to guide policy optimisation using algorithms like Proximal Policy Optimization.
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