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> Gemini and OpenAI deep research tools weren't getting the balanced/unbiased quality I desired.

Could you elaborate, please?

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I felt they would just "cast the net wide" with a quick search-collect at scale, then load in the LLMs own training on to the top, and reports I generated were giving me hallucinated content.

I wanted something more - collect-evaluate-decide loop to iterate through discoveries and actively seek out diverse sources.

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Can you specify ? The default heavy reliance on Reddit and YouTube, rather than trusted publications (e.g. Scientific American, NYTimes) and scientific publications, is worrying given widespread misinformation in certain scientific fields (e.g. nutrition, health, economics)
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I never said "heavy reliance" on Reddit/YouTube. It actually is requested to use discernment to recognize poor, or biased sources and opinions, and label them as such (see the example report on Coffee which I shared previously in another comment).

Most the time it has only sought out one or two post/youtube videos as it can recognize the low credibility value.

It comes loaded with a PubMed MCP tool and the beauty of it being open source is you can exclude or limit the sources as much as you want, or add in new sources - that's why I wanted to open it up, to allow for critique over methodologies and allow for improved, balanced research from experts.

It is also requested to evaluate the source and whether or not they have "some benefit to gain" from the article, to ensure it balances this into the research, also.

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