Commenters examine technical details for authenticity markers
3 Nov 1 12:00 PM · 10d ago · 6 comments · 1 source · development 3 of 4
Technical analysis of training logs and model specifications emerged. One commenter found the metrics and log lines "pretty legit at first" but remained skeptical overall, while another noted the 8TB size would be an impractical vector for casual malware distribution.
“Looks pretty legit to me at first. May be hard to run, I don't have 8TB of RAM.”
_ache_Anthropic AI company whose model was allegedly leaked
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What people said 6 voices · verbatim
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So the idea would be to use some existing model architecture and model that has been poisoned that will actually be parsable by existing inference software to try to do malicious things if it's run in a harness that allows tool use/etc? On the assumption that the type of person to download and try to run inference with the model would be smart…
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Looks pretty legit to me at first. May be hard to run, I don't have 8TB of RAM.The log line is also interesting.> [2026-10-08T13:51:36Z step 1830001] loss=1.0550 lr=7.19012e-05 lr_phase=decay grad_norm=1.304 tokens/s=12.03M mfu=35.1% moe_balance_loss=0.0217 expert_gini=0.0231Last line of log:> [2026-10-08T14:37:21Z step 1830400] loss=1.0421…
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Not saying if it's fake or not cause I have no idea, but the model is almost 8 terabytes so it's not something a casual, less knowledgable user is going to download and run on a whim.
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Not a lawyer, but I don't see what protection they have other than trade secrets since the weights are just data and data can't be copyrighted.
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Naturally. There was a fake Claude 2.1 leak a couple years ago, which turned out to be a renamed open model. Maybe also others.
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No doubt it's fake, but 8 TB of weights would be a pretty crazy way to package malware
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