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Show HN: OSS AI agent that indexes and searches the Epstein files
31–40 of 103 posts
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#32Reminder that only 1-2% of the files have been released.
Yep: Breaking his campaign promises, in violation of the deadlines imposed by US Federal law, and with unlawful levels of redaction.
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#33can search the entire Epstein files It's worth noting that only about 1% of the files have been released, according to the DOJ. Of the released files, many have redactions.
Yep, they failed to meet the deadlines required by law, and it's not just any redactions either, but unlawful redactions.
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#34can search the entire Epstein files It's worth noting that only about 1% of the files have been released, according to the DOJ. Of the released files, many have redactions.
If the Lake Michigan thing is just in the first 1%, then whatever's in the other 99% is going to be absolutely disgusting.
I would expect a large portion of the remaining records to be internal emails about memos about the process of building a case around evidence, rather than the root evidence itself.
Not that that would excuse the administration's unlawful behavior so far, or indicate the unreleased 99% can't have some big bombshells.
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#35Please create a way to share conversations. I think that can be really relevant here
I am not a huge fan of AI but I allow this use case. This is really good in my opinion
Allowing the ability to share convo's, I hope you can also make those convo's be able to archived in web.archive.org/wayback machine
So I am thinking it instead of having some random UUID, it can have something like https://duckduckgo.com/?q=hello+test (the query parameter for hello test)
Maybe its me but archive can show all the links archived by it of a particular domain, so if many people asks queries and archives it, you almost get a database of good queries and answers. Archive features are severely underrated in many cases
Good luck for your project!
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#36I keep thinking that the lack of children’s faces in the blacked out rectangles make the files much less shocking. I wonder if AI could put back fake images to make clearer to people how sick all this is.
I understand the sentiment, but I'm always very concerned when it comes to AI generating pictures of children.
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#37[dead]
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#38As many others pointed out, the released files are nearly nothing compared to the full dataset. Personally I've been fiddling a lot with OSINT and analytics over the publicly available Reddit data(a considerable amount of my spare time over the last year) and the one thing I can say is that LLMs are under-performing(huge understatement) - they are borderline useless compared to traditional ML techniques. But as far as LLMs go, the best performers are the open source uncensored models(the most uncensored and unhinged), while the worst performers are the proprietary and paid models, especially over the last 2-3 months: they have been nerfed into oblivion - to the extent where simple prompts like "who is eligible to vote in US presidential elections" is considered a controversial question. So in the unlikely event that the full files are released, I personally would look at the traditional NLP techniques long before investing any time into LLMs.
Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#39Re: Show HN: OSS AI agent that indexes and searches the Epstein files
#40As many others pointed out, the released files are nearly nothing compared to the full dataset. Personally I've been fiddling a lot with OSINT and analytics over the publicly available Reddit data(a considerable amount of my spare time over the last year) and the one thing I can say is that LLMs are under-performing(huge understatement) - they are borderline useless compared to traditional ML techniques. But as far a…
What use-cases gave you disappointing results? Did you build some kind of RAG?