trust_remote_code Was Always a Dare, Not a Safeguard

Short summary

The trust_remote_code safety flag in Hugging Face model repos can be bypassed, exposing teams to arbitrary code execution via untrusted model artifacts. The author argues this isn't a novel AI threat but a familiar supply-chain problem the ML community hasn't yet built tooling or habits to address. Practical guidance: sandbox model loading, treat model hubs like package registries, and assign ownership for model provenance the way you would for software dependencies.

• •trust_remote_code bypass exposes teams to arbitrary code execution via model downloads
• •ML ecosystem lacks mature SCA-style tooling for scanning model repos for malicious code
• •Treat model loading with same paranoia as npm installs: sandbox, isolate credentials, own provenance

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