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Ethics#Data sourcing👥 CommunityAnalyzed: Jan 10, 2026 13:34

OpenAI Faces Scrutiny Over Removal of Pirated Datasets

Published:Dec 1, 2025 22:34
1 min read
Hacker News

Analysis

The article suggests OpenAI is avoiding transparency regarding the deletion of pirated book datasets, hinting at potential legal or reputational risks. This lack of clear communication could damage public trust and raises concerns about the ethics of data sourcing.
Reference

The article's core revolves around OpenAI's reluctance to explain the deletion of datasets.

Anthropic's Book Practices Under Scrutiny

Published:Jul 7, 2025 09:20
1 min read
Hacker News

Analysis

The article highlights potentially unethical and possibly illegal practices by Anthropic, a prominent AI company. The core issue revolves around the methods used to acquire and utilize books for training their AI models. The reported actions, including destroying physical books and obtaining pirated digital copies, raise serious concerns about copyright infringement, environmental impact, and the ethical implications of AI development. The judge's involvement suggests a legal challenge or investigation.
Reference

The article's summary provides the core allegations: Anthropic 'cut up millions of used books, and downloaded 7M pirated ones'. This concise statement encapsulates the central issues.

Research#llm👥 CommunityAnalyzed: Jan 4, 2026 07:40

Zuckerberg approved training Llama on LibGen

Published:Jan 12, 2025 14:06
1 min read
Hacker News

Analysis

The article suggests that Mark Zuckerberg authorized the use of LibGen, a website known for hosting pirated books, to train the Llama language model. This raises ethical and legal concerns regarding copyright infringement and the potential for the model to be trained on copyrighted material without permission. The use of such data could lead to legal challenges and questions about the model's output and its compliance with copyright laws.
Reference

Anna's Archive – LLM Training Data from Shadow Libraries

Published:Oct 19, 2023 22:57
1 min read
Hacker News

Analysis

The article discusses Anna's Archive, likely a project or initiative related to using data from shadow libraries (repositories of pirated or unauthorized digital content) for training Large Language Models (LLMs). This raises significant ethical and legal concerns regarding copyright infringement and the potential for perpetuating the spread of unauthorized content. The focus on shadow libraries suggests a potential for accessing a vast, but likely uncurated and potentially inaccurate, dataset. The implications for the quality, bias, and legality of the resulting LLMs are substantial.

Key Takeaways

Reference

The article's focus on 'shadow libraries' is the key point, highlighting the source of the training data.

Analysis

The article highlights the use of a large dataset of pirated books for AI training. This raises ethical and legal concerns regarding copyright infringement and the potential impact on authors and publishers. The availability of a searchable database of these books further complicates the issue.
Reference

N/A

Analysis

The article likely discusses the ethical and legal implications of using copyrighted books, obtained through piracy, to train large language models. It probably explores the impact on authors and the broader implications for the AI industry.
Reference