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| ▲ | xprnio 38 minutes ago | parent | next [-] |
| On something that is inherently non-deterministic? Something which is also to a great extent distilled from other frontier models, meaning it has the possibility to generate similar outputs to those meaning that just pattern detection might also not be as effective? Easier to ban everything that’s open, than try to figure out which one of them is Chinese |
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| ▲ | andriy_koval 34 minutes ago | parent [-] | | Now imagine prosecutor found expert, who said there is benchmark which while performing 100k test questions found it is the same model with 98% probability, and then you need under oath testify where did you get this model. | | |
| ▲ | m11a 18 minutes ago | parent [-] | | Step 1: Chinese company publishes open weights on HF Step 2: European company distills or just adjusts the model slightly, and publishes its model on HF Step 3: American company uses model from step 2. Has to testify under oath where they got it from. "We got it from these French guys" | | |
| ▲ | andriy_koval 5 minutes ago | parent [-] | | That French guy takes risk to be forever under US warrants for breaking American law, denied access to financial institutions even in Europe and will quickly go to some KYC entity list, and you will be notified as his clients to stop using his model. Or you think all kind of fraud can be committed through some "french guy"? |
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| ▲ | clhodapp 40 minutes ago | parent | prev | next [-] |
| Models don't even agree with themselves in terms of returning identical results |
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| ▲ | wyrdcurt 38 minutes ago | parent | prev [-] |
| Except that even the exact same model won't output the exact same results, that's a fundamental aspect of how LLMs work. They're probabilistic/stochastic, not deterministic. |
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