Yes, because that has worked so well in the past for alcohol, cannabis, homosexuality, or nuclear proliferation.
A list of examples where prohibition didn’t work is quite far from an argument that it never works, Plato. Leaded gasoline, CFCs, asbestos, DDT, should I go on?
This class of models is already perfectly capable of finding and exploiting vulnerabilities in software, and is within spitting distance of the frontier.
If you think frontier models are close to Qwen running on your 5090, you’re completely devoid of any knowledge on the subject and therefore this discussion becomes meaningless.
Your examples of prohibition and mine are not the same. Mine were purposefully chosen because they are or were contentious, just like AI is now.
Your examples, on the other hand, outline situations where we were using something harmful that we did not realize at the time was harmful. Once that realization came to light, everyone agreed to stop. If you want to say this is the current situation with AI, then that’s coherent. This is my olive branch to you.
As for local models if you want to maintain that DSv4.1, GLM-5.3-f, M-3.1, or ther ilk are not near frontier-level. Then, I guess you are allowed to be wrong.
As for local models if you want to maintain that DSv4.1, GLM-5.3-f, M-3.1, or ther ilk are not near frontier-level. Then, I guess you are allowed to be wrong.
Qwen 3.8 27b is now on par with claud fable 5 acording to this benchmark local llms are only a few months behind frontier models and are capable of many things.
That’s fable 5.1 I said fable 5. Also it seems like the link I sent wasn’t for the benchmark I meant to send. Try to find the one for code rather than agentic work. Qwen 3.8 27B scores 1590 while Claude fable 5 scores 1624 which is a very slim margin considering fable 5 was one of, if not the best model when it was released.
A list of examples where prohibition didn’t work is quite far from an argument that it never works, Plato. Leaded gasoline, CFCs, asbestos, DDT, should I go on?
If you think frontier models are close to Qwen running on your 5090, you’re completely devoid of any knowledge on the subject and therefore this discussion becomes meaningless.
Your examples of prohibition and mine are not the same. Mine were purposefully chosen because they are or were contentious, just like AI is now.
Your examples, on the other hand, outline situations where we were using something harmful that we did not realize at the time was harmful. Once that realization came to light, everyone agreed to stop. If you want to say this is the current situation with AI, then that’s coherent. This is my olive branch to you.
As for local models if you want to maintain that DSv4.1, GLM-5.3-f, M-3.1, or ther ilk are not near frontier-level. Then, I guess you are allowed to be wrong.
lol
Your dialectic skills truly know no bounds.
Ask your local frontier model for help with your next comment.
Qwen 3.8 27b is now on par with claud fable 5 acording to this benchmark local llms are only a few months behind frontier models and are capable of many things.
Fable is rank 5, Qwen 3.8 (with nothing claiming it’s the reduced 27b one) is rank 29, fuck you are you talking about.
That’s fable 5.1 I said fable 5. Also it seems like the link I sent wasn’t for the benchmark I meant to send. Try to find the one for code rather than agentic work. Qwen 3.8 27B scores 1590 while Claude fable 5 scores 1624 which is a very slim margin considering fable 5 was one of, if not the best model when it was released.