41–50 of 103 posts
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 a…
The question is not how to analyze that, it's how to prosecute those who are above the law.
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.
Remember folks, soft power is nothing in front of hard power.
Earlier quoted context omitted.
I understand the sentiment, but I'm always very concerned when it comes to AI generating pictures of children.
Why? They are generated pictures, not real pictures.
To an extent, this was already the case with many other things, including stuff that was expressly labelled as fiction, but I recall an old quote, fooling all of the people some of the time and some of the people all of the time, it is now easier to fool more people all the time and to fool all people an increasing fraction of the time.
This isn't only limited to fake pics of kids, but kids are weak and struggle to defend themselves, and in this context the tools faking them seems to me likely to increase rates of harm against them.
To replicate though, you might look at the list of individuals mentioned in the brief email from Epstein to Bannon a couple weeks before Esptein died containing ~30 names and phow your engine works with each one. See how a keyword search does on library of congress vs your agent.
Earlier quoted context omitted.
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
Edit: Oh I get it. The woman's statement Donald Trump is named as one of the witnesses. She says that he watched the murder. He wasn't the uncle. He is listed as a witness to the murder. This is highly highly suspect in my opinion. Seems very sensationalistic and no reason given it as to why Trump was there. His name is just thrown in.
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 a…
On LLMs vs traditional NLP: I hear you, and I've seen similar issues with LLM hallucination on structured data. That's why the architecture here is hybrid:
- Traditional exact regex/grep search for names, dates, identifiers - Vector search for semantic queries - LLM orchestration layer that must cite sources and can't generate answers without grounding
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+…
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 a…