Misleading Claim Circulates: Microsoft Does Not Offer Guide to Pirating Harry Potter for AI Training
A viral claim on Hacker News falsely alleges that Microsoft published a guide to pirating the Harry Potter series for LLM training. Investigations reveal the article referenced is a technical tutorial on SQL vector stores, with no mention of copyright infringement or copyrighted literature.
Contrary to a widely shared but inaccurate claim circulating on Hacker News, Microsoft has not published any guide encouraging the piracy of the Harry Potter series for training large language models (LLMs). The misconception stems from a misinterpretation of a technical blog post on Microsoft’s Azure SQL documentation, which was incorrectly labeled as promoting copyright infringement.
The original post in question, titled "LangChain with SQL Vector Store Example", is a developer tutorial demonstrating how to use SQL Server’s vector embedding capabilities to build a semantic search system. It uses a fictional, publicly available dataset — not copyrighted material — to illustrate vector storage and retrieval techniques. The example includes synthetic text data modeled after common open-source datasets, such as book summaries or public domain literature, but never references the Harry Potter series or any other proprietary content as a source.
The false narrative originated on Hacker News (HN) on May 28, 2024, where a user submitted the article under the headline: "Microsoft offers guide to pirating Harry Potter series for LLM training." The post garnered 59 points and 18 comments, many expressing concern over corporate ethics in AI training data. However, upon closer inspection, neither the Microsoft blog post nor any associated code repository includes excerpts from J.K. Rowling’s works, nor does it provide instructions on how to download or distribute copyrighted material.
Microsoft’s official support and corporate websites — support.microsoft.com and www.microsoft.com — further confirm the company’s public stance on ethical AI development. Microsoft’s AI principles, as outlined in its corporate documentation, emphasize respect for intellectual property, legal compliance, and responsible data sourcing. The company has previously partnered with publishers and content creators under licensed agreements for AI training, including collaborations with the Associated Press and news organizations.
Industry experts warn that such misinformation exploits public anxiety around AI ethics and copyright law. "This is a classic case of headline-driven misattribution," said Dr. Elena Torres, an AI ethics researcher at Stanford University. "When technical documentation is stripped of context and repackaged with sensational claims, it fuels distrust in legitimate innovation. Microsoft’s example is purely educational — it’s about database architecture, not copyright evasion."
The Hacker News post has since been flagged by several community moderators for misleading content, though it remains visible due to the platform’s minimal content moderation policies. Meanwhile, Microsoft has not issued a formal correction, as the erroneous narrative appears to be confined to third-party forums and does not originate from its official channels.
For developers seeking to train AI models ethically, Microsoft recommends using licensed datasets from sources such as Hugging Face, Common Crawl, or Microsoft’s own Open Data Initiative. The company also provides tools like the Responsible AI Dashboard to audit data provenance and compliance.
As AI adoption grows, the line between educational examples and unethical data sourcing becomes increasingly blurred. This incident underscores the critical need for media literacy among technologists and the public alike. Misleading headlines, even when unintentional, can erode trust in institutions driving innovation — and distract from genuine debates about copyright, fair use, and the future of machine learning.
![LLMs give wrong answers or refuse more often if you're uneducated [Research paper from MIT]](https://images.aihaberleri.org/llms-give-wrong-answers-or-refuse-more-often-if-youre-uneducated-research-paper-from-mit-large.webp)

