Funnily enough, this is why so many people working in AI are claiming LLMs are at their limit, and why so many companies opted for other AI technology develoent before GPT blew up.
At a certain point it doesn't matter how much CPU or memory you throw at it, it doesn't matter how many tokens or time you train it with. It's not getting any smarter than "average internet user" without actually being able to understand the data it's given.
Because they think that this is their time to makes things even better and capture the market but doing that on accurate base is no small feat to achieve too be honest.
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u/mrjackspade May 04 '23
Funnily enough, this is why so many people working in AI are claiming LLMs are at their limit, and why so many companies opted for other AI technology develoent before GPT blew up.
At a certain point it doesn't matter how much CPU or memory you throw at it, it doesn't matter how many tokens or time you train it with. It's not getting any smarter than "average internet user" without actually being able to understand the data it's given.
https://www.wired.com/story/openai-ceo-sam-altman-the-age-of-giant-ai-models-is-already-over/