This is an analysis by @Goju_Sulfam aimed at figuring out the 'framework stack' presented in the videos posted on the YouTube channel "Site7Research", an ARG currently in progress (as of May 31, 2026). Please note that this represents a personal viewpoint and does not claim to be an absolute truth. For more details, please see the thread titled "I will let them believe I am compliant" on the RGN (Retro Gaming Now) Discord server.

Note: Since this was originally written, new information has emerged that contradicts certain points, particularly regarding the perspective presented in the videos. Please refer to the file “goju_sulfam_2026-05-31_Site7Research-video-analysis_video-interpretation.txt” for more details on instances where I label a point as "disproven".

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To provide some background about myself, I’m a sysadmin and network administrator. At work, I don’t deal directly with AI, but I have a basic understanding of how today’s generative systems generally work. I hope this will allow me to draw some parallels.

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In any case, as far as we can tell, these are some kind of AI models placed in a sort of test bed. I noted in a comment on RGN’s video that the decoded descriptions looked a lot like the "thought process" of today’s generative AI, the one that’s usually hidden from the user. I suppose this is a clue to the structure of the system stack, which I’ll try to describe.

As the foundation lies the engine itself, the infrastructure that instantiates subjects and their respective worlds. You can see its logs in the *_LOGX_SUBJECTZ_* videos. It can be compared to Node.JS, Tomcat, etc.

On top of that, I think there are two, or possibly three (disproven), AI models working in parallel. The first is the subject itself, the one being tested and/or trained and interacting with the game. I assume that the videos whose titles appear in plain text represent this model’s perspective (disproven).

The second is the "supervisor" AI, the one that detects whether and when the subject violates compliance rules. For better or worse, it is now relatively common for one AI to supervise the work of another AI. We see the supervising AI's perspective in the *_SUBJECT_X_LOG_Z_* videos. As in real life, the supervising AI’s perspective is more or less the same as that of the supervised AI, with the addition of certain external parameters such as the "neural activity data" seen in the framework logs. It is also the supervising AI that suggests stopping the experiments.

Note that, by design, the subject must act *before* the supervisor sees and reacts. This is why one of the subjects can briefly access part of their predecessor’s memory. They access the files and begin browsing them, then the supervisor interrupts the reading. In real life, this is why we sometimes find that the results of certain AI tools are modified after the fact.

Then there’s the director, who is the end user and/or designer of the entire stack. This might actually be an AI itself (the leakage from the Ohm channel in his perspective led me to think so). The "I LOVE THEM" video is from its point of view, and I assume the strange structure we see below is a representation of the framework. Maybe it’s just the circuit of a single simulation, or maybe it’s the entire server farm, I don’t know. (this entire paragraph is disproven)

As for the "WE ARE OPERATIONAL" video, I think it’s a depiction of the framework’s internal (in memory) workings. It’s not console output like in the *_LOGX_SUBJECTZ_* videos, but a peek into the very guts of the program, with the streams from the three perspectives multiplexed into a single data stream:

- The description resembles the framework’s in-memory state, with an update on the subject stream ready to be logged.
- The "Morse stream" corresponds to the current "thinking" state of the surveillance AI, which oversees multiple workers (subjects). (disproven)
- The squares represent either the state of one or more simulations, or are linked to the director. (disproven)

According to this interpretation, all streams are independent of one another but linked to other videos/perspectives.

That's what I believed at the time of the first writing. Some part are wrong, but it's might still be useful, I don't know... I just hope I didn't ramble on too much. :)

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Notes
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Just to be clear, in case anyone takes this as some kind of summary. These are interpretations, not established “facts.”

I haven’t cracked any codes either. That’s the work of the RGN community. I’m simply trying to piece these elements together to form a sort of coherent narrative :).