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The thing that you are handwaving away as just "which parameters correspond to what results" is precisely the important, the inexorable thing which defines the phenomena, and it is exactly the thing which we don't have access to, and which we did not and could not design, plan or engineer, but which emerged


> which we did not and could not design, plan or engineer, but which emerged

We literally designed, planned, and engineered the environment and mechanisms which created those weights.

It’s just code. We can train models by hand too, it’d just take a lot longer.

It’s literally something we made, just from a higher order place.

To understand which exact weights correspond to what output will vary from model to model. There is research going into this subject for llama.

it’s not like we’re in the dark as to the principles that allow LLMs to make predictions.

My whole point is that to say “we don’t know how AI works” is just not true




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