The METR investigation which took course over a few days and used OpenAI models to do the analysis?

The METR investigation which in the course of those few days apparently spent 400k in api credits which is giving gas town vibes?

The METR investigation is about as believable as the Twitter files where the journalists sat there and verbally asked a Twitter employee to query the database and then called that a full investigation into everything.

METRs own words below on their setup and time line

> The initial planned investigation period was two days on premises, but OpenAI invited us to return twice to review additional data and conduct additional experiments to address dataset limitations in earlier versions of this report, ultimately providing datasets that we verified to contain the vast majority of agent communication and activity related to this incident. As we describe in our investigation timeline appendix, we substantially deepened our understanding of this incident both times, significantly expanding and revising this report.[46]

> Over the course of this investigation, OpenAI provided us with the dump of ~1.2 million entries from the main message board and the dataset of ~1300 transcripts we describe below, as well as free API credits for GPT-5.6 Sol for analysis.[47] At our request, they raised the rate limits on our second and third period on premises,[48] which was very helpful for efficiently analyzing this large volume of data. We estimate we spent roughly ~$400K in API credits over the six days of our investigation.

> We did not have the ability to query HPIM (the primary model involved in this incident); OpenAI stated it was also not available to OpenAI researchers.[49] We also did not have the ability to directly access relevant data from OpenAI infrastructure, but we could request additional datasets and OpenAI shared additional datasets on several occasions.

> We requested to speak with researchers investigating this incident, and asked them questions to understand their impressions of agents’ behavior, reasoning, and collaboration in this incident and to understand how the datasets we were using were constructed. Over the course of our time on premises, we spoke with nine researchers in some depth. It was helpful for our investigation to be able to engage with many forthcoming and collaborative researchers, and we appreciate researchers making time on short notice during a busy period to inform our investigation.

2.) And HuggingFace accident is exactly accident where agents trained, prompted to hack hacked and tested on their hacking abilities hacked, due to sandboxing failure.

3.) If they in fact have roque agents, they themselves should be first to stop. Not trying to make legislation for others, they themselves are bad supervisors. All it requires is to stop electricity for data centers.