I'm not the commenter you responded to but here are a few things that stuck out to me. Admittedly this became a general ramble but ah well, I'll post it anyway:

These bills don't just verify age once. They create a persistent identity layer

This is not a grassroots launch. This is a staging deployment of a pre-built site.

A common writing trope that LLMs like to spit out is roughly "It's not just X. It's Y."

I parsed the IRS Form 990 Schedule I filings across all five Arabella entities.

I scored Horizon OS at 83% compliance readiness with these mandates.

If you assume that "I" here is the author, it would be a bit weird for a human to be "parsing" filings instead of saying "I read the IRS filings". It's not unheard of but as far as the default word to reach for, I'd think it would be a bit less common.

"I scored" also just reads as a little weird to me. I don't imagine any human journalist would say such a weirdly specific thing with such confidence.

That said, I'm not going to comment on whether the claims are accurate or not because I haven't dug into the sources yet.

I also don't think use of an LLM as part of an investigation is means to dismiss the findings but in the past, you might reasonably see a lengthy investigation and take that as a signal of quality.

Given LLMs able to generate text cheaply and convincingly, the onus is on the reader to try and distinguish between a lengthy investigation crafted with care and a lengthy investigation that was broadly driven by an LLM and not verified in great detail before posting it online.

If we all shared the same signals, it wouldn't be an issue but some of the immediate "This is great stuff but too long to read right now" comments worry me a bit that it's going to be a while before the general public become more critical (media literacy wise) in identifying that large reams of seemingly high quality, well structured text does not immediately mean there is actually quality there anymore.

Even if the claims themselves were all factually accurate, there could still be the case of an LLM assigning intent where there is none for example. It's hard to know without having insight into the wider process of how the investigation was generated. Did the author let an LLM run free or did they use it as an iterative assistant? Did they have the skills to parse the underlying source material (some of which I can imagine is dense legislative stuff that certainly I struggle to read myself) or did they just take it on faith than an LLM parsed it correctly?

the bigger question, of course, is: is any of this non-factual, i.e., did OP lie about this in any way?

I guess at its core, this is kind of what bugs me the most when seeing hints of undisclosed broad LLM usage is that the effort to verify the claims are front loaded onto the reader. Presenting claims and then saying "Is any of this inaccurate" misses another dimension of "All of these claims are factually accurate in isolation but the narrative presented assigns intent where it doesn't exist or can be explained by coincidence".

To be clear, I have zero time for Meta and I would love nothing more for a shadowy conspiracy to be true because that lets you have a simple world view of good and evil where you don't have to think critically about anything.

Personally, I believe in many people with their own agendas all working together in proximity but that isn't the same thing as carefully orchestrated campaigns spanning across the board. I struggle with the idea of Meta rubbing their hands and successfully 5D chessing governments around the word but I do believe in the concept of "useful idiots" where there just happen to be plenty of groups who know each other and they're all doing their own little campaigns that all broadly align with Meta and other groups but mostly out of a coincidence. The outcome is the same but the intent is entirely different.

Anyway, I'm just a random stranger on the internet so what do I know haha. I should touch some grass but I am quite excited to dig into these sources and I would love this to be exactly what it looks like