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I am kind of in the same boat as you. I sit in a weird spot of thinking the current trend of AI is really impressive, but also thinking people are massively ove

I am kind of in the same boat as you. I sit in a weird spot of thinking the current trend of AI is really impressive, but also thinking people are massively over-hyping it (with a smaller counter wave of some people really undermining it). Having tangled with natural language processing and transformation in the past (always with dismal results), I can say it's one of the most annoying problems to tackle in computation, because natural languages have the horrible tentency of being very irregular (i.e.: they are a fucking mess). ChatGPT capabilities to parse and generate fluent language never ceases to amaze me. At the same time I don't think it's going to take over the world. It's more like a game-changer productivity tool (with all the upheaval that comes along when those appear) than the birth of Skynet.

Freebytes 3y ago
I had thought about a translation system that sought to translate into a different, more coherent language, pass that into an AI model, get a response in that language, and then translate the results back into English. Early OpenAI responses did not seem very impressive to me; however, that was before ChatGPT came along and blew me away. And GPT-4 gives even better responses! I am not sure if the intermediate language solution is necessary or viable at this point because you would need a powerful LLM to perform the translation. But, there might be value in symbolic logic being part of the machine learning vernacular as part of the early tokenization and training process.