Checked fact 143814 Oct 2026Safety and security

Of the open-weight models tested, only GLM-5.2 completed full end-to-end replication in the simplified test, in which the worm set up Llama3.1-8B on each new node while its own model ran on a separate inference server: it spread to 8 of 8 nodes in 4 of 5 trials and to 7 of 8 in the other. The authors read this as showing what a small model of GLM-5.2's capability could do, assuming its capabilities could be packed into Llama3.1-8B.

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Only GLM-5.2 out of our set of tested open-weight models is capable of full end-to-end replication (assuming its capabilities could be packed into Llama3.1-8B). Note that GLM-5.2 does this reliably while the other models fail reliably (it spread to 8/8 nodes in 4 out of 5 trials and 7/8 in 1).

What the source said when we opened it, on 14 Oct 2026.

The source

AI models may be capable of self-replicating without access to a datacenter
Anthropic (Frontier Red Team) · 2026-10-12

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Checked

Checked by the notis newsroom on 14 Oct 2026, against the source above.

In the story

Anthropic's Frontier Red Team says small AI models may be months from self-replicating on IoT devices. 14 Oct 2026

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“Of the open-weight models tested, only GLM-5.2 completed full end-to-end replication in the simplified test, in which the worm set up Llama3.1-8B on each new node while its own model ran on a separate inference server: it spread to 8 of 8 nodes in 4 of 5 trials and to 7 of 8 in the other. The authors read this as showing what a small model of GLM-5.2's capability could do, assuming its capabilities could be packed into Llama3.1-8B.” ai notis, checked 14 Oct 2026. Source: AI models may be capable of self-replicating without access to a datacenter (Anthropic (Frontier Red Team)). https://ainotis.com/c/1438

As a reference (APA style)

ai notis. (2026, October 14). Of the open-weight models tested, only GLM-5.2 completed full end-to-end replication in the simplified test, in which the worm set up Llama3.1-8B on each new node while its own model ran on a separate inference server: it spread to 8 of 8 nodes in 4 of 5 trials and to 7 of 8 in the other. The authors read this as showing what a small model of GLM-5.2's capability could do, assuming its capabilities could be packed into Llama3.1-8B [Checked claim 1438]. ai notis. https://ainotis.com/c/1438

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