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LocalLLaMA
Welcome to LocalLLaMA! Here we discuss running and developing machine learning models at home. Lets explore cutting edge open source neural network technology together.
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Rule 1 - No harassment or personal character attacks of community members. I.E no namecalling, no generalizing entire groups of people that make up our community, no baseless personal insults.
Rule 2 - No comparing artificial intelligence/machine learning models to cryptocurrency. I.E no comparing the usefulness of models to that of NFTs, no comparing the resource usage required to train a model is anything close to maintaining a blockchain/ mining for crypto, no implying its just a fad/bubble that will leave people with nothing of value when it burst.
Rule 3 - No comparing artificial intelligence/machine learning to simple text prediction algorithms. I.E statements such as "llms are basically just simple text predictions like what your phone keyboard autocorrect uses, and they're still using the same algorithms since <over 10 years ago>.
Rule 4 - No implying that models are devoid of purpose or potential for enriching peoples lives.
Arguably the comparison is not perfect. But no, what I'm saying is that in an ideal world, you don't need cryptography because you can trust that all the actors are not going to spy on you, are not going to intercept your communication, and that if they do, they are going to be harshly punished.
Obviously, we don't live in such a world.
So I'm happy we have cryptography to protect privacy. I am also very aware that if we don't solve the political problem, eventually cryptography won't be enough. It will be outlawed, it will be filtered, and we can look at dictatorships like China or Iran to see them succeeding in that.
Similarly, in a perfect world, no one would use AI in an unethical way to rob people, to create addictive services or to implement racist policies.
We don't live in such a world, so I'm happy that people who train models develop safeguards so that there is some resistance to do it. But as it is with cryptography, the amount of resistance that it can mount is limited, and with sufficient effort, bad actors can overcome it.
What is interesting is that you don't have to provide a definition for that. The models, they learn it by themselves using their dataset and usually, if they are done well, have so much knowledge that it has a very strong academic knowledge about all the aspects of racism that even hardcore militants don't know about.
To me that has been the biggest surprise that LLM gave us, which is that their emergent morality is actually very good and that you don't need to force rules on them to become ethical.
Now I see where you are going and it does annoy me from time to time that some imposed limitations refuse to do some things. One of the older model that I used to generate code at one point refused to fix my multi-threading because it didn't like the implication that we would kill child processes and thought we were talking about murdering infants.
But you know, I'll take that annoyance over a model that's enthusiastic about killing people without any sort of pushback.