AGI will never be achieved in current human communication. Every language we speak as humans is so flawed beyond comprehension or understanding on a scale that current tokenization cannot properly map. Previous logically constructed languages failed because they lacked global data and were not specific to LLM models. There is an objective logically constructed language formula that can encapsulate every piece of data no matter what language or specific language while maintaining semantics. AGI will only be achieved when there is a temporary layer of human teams who directly encode and translate fundamental factors and needs for the training process. No human has ever created a piece that encases the concept of tokenization naturally. It was an artificial construct by one philosopher and mathematician that is not rooted in the general human brain. People barely emphasize morphology anymore virtually. We have 26 letters in English for example and a dictionary of like 550000 words in one standard MW dictionary. We have so many replicate words and there is no way for these lying AI companies to base their parameters on anything objective. There sure has hash encoding and other concepts that truly simplify while holding semantic structure yes but it is not a human level. And nobody can speak to transliterate it. In addition the limiting on human capital is astounding instead of creating a layer between the flaws of communication and the legitimate algorithms working to determine what next are doing it on an inefficient systems what they are arguing to everyone is to achieve agi we must ride a bike a up a slope and when our legs give out well just add top of notch quality motor and gears to it that eventually burn out regardless to instead of driving a car up the slope . Why because those people who will be able to now encode the human dictionary as we know big data into a simplified but fully and more semantically structured are likely geniuses who one are gonna destroy the entire sector of snake oil and secondly are geniuses and are way to expensive to hire. Despite it being more expensive in current ways however they still can retain there “intellectual innovation” It makes me wonder if they are lying or intentionally doing this to justify all the needs for resources. They are taking the most complex slow route to AGI. submitted by /u/Reasonable_Use3405
Originally posted by u/Reasonable_Use3405 on r/ArtificialInteligence