--- title: "Open Data vs Open Source: What Your AI Was Trained On Matters" url: https://daily.dev/posts/open-data-vs-open-source-what-your-ai-was-trained-on-matters-jejvzggjh source_url: https://www.youtube.com/shorts/ibBN6VF8OVg type: video:youtube source: "We Are .NET" published: 2026-06-01T23:06:51.463Z updated: 2026-06-01T23:07:06.674Z tags: ["ai", "open-source", "llm"] reading_time: 2 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Open Data vs Open Source: What Your AI Was Trained On Matters **[We Are .NET](https://daily.dev/sources/wearedotnet)** · 2 min read · 0 upvotes · 0 comments ## Summary Training data transparency for AI models is as important as open-sourcing model code. Without knowing what data a model was trained on, users can't accurately assess its capabilities or blind spots. The analogy used is food labeling: just as consumers want to know ingredients and sourcing, companies deploying AI should demand training data transparency. Models trained on censored or incomplete data — such as those omitting certain historical events or security vulnerability information — will have systematic blind spots that can silently harm enterprise users who rely on them for security-sensitive tasks. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [What Is Open Source AI Anyway?](https://daily.dev/posts/what-is-open-source-ai-anyway--j1hhdvi7m) · The New Stack · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#open-source](https://daily.dev/tags/open-source), [#llm](https://daily.dev/tags/llm) [View this post on daily.dev](https://daily.dev/posts/open-data-vs-open-source-what-your-ai-was-trained-on-matters-jejvzggjh)