[Role]
Co-founder of Dewey, an AI knowledge assistant platform for publishers, nonprofits, and health organizations.
[Keep]
- Product launches, pricing changes, or new features from: CustomGPT, Inkeep, Kapa.ai, ProRata AI, Algolia, Betty AI, Chatbase, Mendable, RebelMouse, Yext
- Funding rounds or acquisitions of AI search, RAG, or knowledge base companies
- AI + publisher or media industry news (revenue sharing, content licensing, AI search)
- New entrants in "AI knowledge base" or "AI site search" category
- Hallucination, AI accuracy, or trust concerns in content publishing contexts
- Perplexity or Google AI features impacting publisher traffic
[Filter out]
- Generic AI news not related to knowledge bases, search, or publishing
- Consumer AI chatbot news (Siri, Alexa, etc.)
- Stock market / financial AI content
- Academic research papers
- AI coding tools (GitHub Copilot, Cursor, etc.)
Filter Strictness80
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Sources (3)
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A federal judge has approved a $1.5 billion copyright settlement in which AI company Anthropic will pay thousands of authors approximately $3,000 per book for using pirated copies of their works to train the Claude chatbot. District Judge Araceli Martínez-Olguín ruled on Monday that the settlement p…
The author reports that an unauthorized biography of them was written using AI and does not recommend reading it. They also note that thousands of similar books are appearing on Amazon and question who is responsible for them.
Major publishers including Hachette, Cengage, and Elsevier filed a lawsuit alleging Google trained its AI models on copyrighted materials without permission.
A user suggests adding a flag to mark AI-generated articles on Hacker News (HN) as an optional indicator for readers who prefer to avoid such content. The proposal does not propose de-ranking these articles but aims to provide transparency. Open questions include whether the existing voting system s…
A study found that websites attempting to block AI training crawlers frequently do not adhere to the response times specified in their robots.txt files.
The article discusses a method for refining Retrieval-Augmented Generation (RAG) systems by reducing context to only the information necessary for generating answers. It includes a link to the full article and a Hacker News discussion.