The models may well contain malware or security vulnerabilities. But they are at least open to inspection because the weights are available, the same can not be said about US providers of inference such as OpenAI and Anthropic.

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halJordan 7 hours ago | parent | next [-]

They're about as indictable as binary blobs found in your BSPs or the 3rd party drivers you get through Windows Update

	▲	owebmaster 6 hours ago \| parent [-]
		Still better than a Windows SaaS edition

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chrisra 8 hours ago | parent | prev | next [-]

I don't know if inspection would be practical. How do you inspect the weights for an intentionally hidden trigger that writes malware?

	▲	kouteiheika 24 minutes ago \| parent \| next [-]
		You don't. You handle it the same way you handle security holes which every LLM (including "safe" American ones) will put in your software sooner or later -- by understanding and reviewing the output.
	▲	jacquesm 8 hours ago \| parent \| prev [-]
		I don't have the answer to that, my simple solution to this problem is not to trust anything a model ever writes and so far that strategy has worked very well.

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justapassenger 2 hours ago | parent | prev | next [-]

Not only open to inspection, you can also post train it to get exactly what you need from it, both in terms of capabilities and alignment.

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nashashmi 4 hours ago | parent | prev | next [-]

Because it is DeepSeek in China, they must have open weight models to be even partially acceptable to the world. I am sure many would balk at using a Chinese company if its products were not open source

	▲	deaux 3 hours ago \| parent \| next [-]
		- Sent from my device containing a bunch of closed source products from a Chinese company
	▲	ulfw 3 hours ago \| parent \| prev [-]
		Ridiculous statement. Best greetings from my Oppo Find N6

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cmrdporcupine 13 hours ago | parent | prev [-]

It's also odd for them to single out DeepSeek in particular, and not just any model from the PRC?

	▲	jacquesm 13 hours ago \| parent [-]
		DeepSeek is the one that is the most visible, and probably the most cited in the departure messages to US providers.