While I find value in LLMs they still overall seem unreasonably not that useful.
It might be like trying to train a neural net in 1993 on a 60mhz Pentium. It is the right idea but fundamental parts of the system are so lacking.
On the other hand, I worry we have gone down the support vector machine path again. A huge amount of brain power spent on a somewhat dead end that just fits the current hardware better than what we will actually use in the long run.
The big difference though from SVM is this has captured the popular imagination and if the tide goes out, the AI winter will the most brutal winter by an order of magnitude.
It might be like trying to train a neural net in 1993 on a 60mhz Pentium. It is the right idea but fundamental parts of the system are so lacking.
On the other hand, I worry we have gone down the support vector machine path again. A huge amount of brain power spent on a somewhat dead end that just fits the current hardware better than what we will actually use in the long run.
The big difference though from SVM is this has captured the popular imagination and if the tide goes out, the AI winter will the most brutal winter by an order of magnitude.
AGI or bust.