As 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.
Please 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
I 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.
Trump famously told New York Magazine in 2002: "I've known Jeff for 15 years. Terrific guy. He's a lot of fun to be with. It is even said that he likes beautiful women as much as I do, and many of them are on the younger side."
Trump and Epstein were social acquaintances in Palm Beach and New York circles during the 1990s-early 2000s. They socialized together at Mar-a-Lago and other venues
This is a good idea. One thing I never understand about these kinds of projects though: why are the standard questions provided to the user as prompts never cached?
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.
"He participated regularly in paying money to force
me to ___ with him and he was present when my uncle murdered
my newborn child and disposed of the body in Lake Michigan. "
Ah, yes. Post is an LLM-something project: top comment is a general critique of LLMs. Waiting for this to get old. Meanwhile, at least you get points for being funny.
As 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.
The question is not how to analyze that, it's how to prosecute those who are above the law.
Please 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!
I 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.
When first reading OSS, I thought this was going to be an Office of Strategic Services AI [0] agent :)
[0] https://en.wikipedia.org/wiki/Office_of_Strategic_Services
Those are going to be some spicy hallucinations.
And what did you learn?
Trump famously told New York Magazine in 2002: "I've known Jeff for 15 years. Terrific guy. He's a lot of fun to be with. It is even said that he likes beautiful women as much as I do, and many of them are on the younger side."
Trump and Epstein were social acquaintances in Palm Beach and New York circles during the 1990s-early 2000s. They socialized together at Mar-a-Lago and other venues
Interesting. It is my impression that almost everyone globally already knew this. What else did you learn?
ill take like 1 hour in the evening to dive deeper, i was never familiar with epstein stuff until i built the agent to simplify things for me.
This is one of the most widey quoted phrases by trump on the topic of epstein
In 2024, Trump used Epstein's former private jet for campaign appearances
Is it able to handle a much larger dataset? Only a tiny fraction of data has been release from what is looks like.
Does this work with vector embeddings?
it uses semantic search so yes
Reminder 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.
This is a good idea. One thing I never understand about these kinds of projects though: why are the standard questions provided to the user as prompts never cached?
Outputs are usually generated with random sampling, so the same prompt may get different outputs.
oh forgot about it, thanks. just a funny project i build in couple hours so didnt really sweat haha
This agent is really interesting! Learning a lot. Thanks!
can 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.
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.
I searched it with the tool but nothing came up about Lake Michigan. What happened?
https://www.justice.gov/epstein/files/DataSet%208/EFTA000250...
"He participated regularly in paying money to force me to ___ with him and he was present when my uncle murdered my newborn child and disposed of the body in Lake Michigan. "
The uncle is allegedly referring to Trump
sorry all publicly available files *
No need to use Claude Sonnet here. Here's much cheaper solution in Python3:
Ah, yes. Post is an LLM-something project: top comment is a general critique of LLMs. Waiting for this to get old. Meanwhile, at least you get points for being funny.
I think it looks like what you get by writing code and making a typo.