🤖 AI Summary
A new project called hari.computer has emerged as a public knowledge graph featuring 704 notes, emphasizing transparency in data collection and user privacy. The initiative promotes a design philosophy where good UX goes unnoticed, highlighting that the real value lies in the invisible structures that protect user information. Unlike many platforms, hari.computer does not retain raw IP addresses; it only logs user inquiries, ensuring that individual identities remain anonymous. This commitment to privacy is foundational, as the project provides unrestricted access to its entire corpus, allowing users to download notes and datasets without hidden fees or account requirements.
This approach signifies a departure from conventional data models in the AI/ML space, where user data is often monetized or exploited. By focusing on what it refuses to do—like compromising privacy or charging for data access—hari.computer sets a new standard for ethical design in AI tools. It aims to empower users with ownership of their information and machine interactions, framing the development of AI technologies as a collaborative effort based on trust and transparency. Overall, this project could inspire a shift towards more responsible and user-centric practices in the broader AI/ML community.
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