Story
Knowledge Should Not Be Gated
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1 discussion
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Overview
Building AI systems to incorporate business knowledge typically involves chunking documents, selecting an embedding model, setting up a vector database, tuning retrieval processes, and possibly creating a graph. This complex infrastructure can make company knowledge less accessible and harder to interpret.
Summary from formaly.io.
Reports
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Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · formaly.io
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-07-05.
- Praise: Some commenters trust that data retention agreements with LLM providers protect their proprietary information, believing that a breach would be commercially disastrous for these companies.
- Praise: The idea of knowledge not being gated resonates with users who long for transparency in AI, comparing it to a Google search that cites sources.
- Concern: Uploading useful private data to SaaS LLMs is seen as naive and potentially malicious, raising serious concerns about data mining and corporate responsibility.
- Concern: There's skepticism about whether LLM providers truly uphold data retention agreements, suggesting a lack of trust in corporate practices.