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That's a interesting idea. I guess it would probably show who used other models to train their own model too.

Archive: https://archive.today/VvtuD

From the post:

>Cisco released an open-source tool to trace the origins of AI models and compare model similarities for great visibility into the AI supply chain. The Model Provenance Kit, announced Thursday, is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a “fingerprint” for AI models that can then be compared to other model fingerprints to determine potential shared origins. “Think of Model Provenance Kit as a DNA test for AI models,” Cisco researchers wrote. “[…] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification.”

That's a interesting idea. I guess it would probably show who used other models to train their own model too. Archive: https://archive.today/VvtuD From the post: >>Cisco released an open-source tool to trace the origins of AI models and compare model similarities for great visibility into the AI supply chain. The Model Provenance Kit, announced Thursday, is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a “fingerprint” for AI models that can then be compared to other model fingerprints to determine potential shared origins. “Think of Model Provenance Kit as a DNA test for AI models,” Cisco researchers wrote. “[…] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification.”

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