When people say this, I feel like it's useful to frame it in terms of what they think "real AGI" enables, since we don't even know how "real GI" works Before u

When people say this, I feel like it's useful to frame it in terms of what they think "real AGI" enables, since we don't even know how "real GI" works Before using ChatGPT I couldn't form a clear picture of that, but now it's clear that a lot of the more realistic things we imagined real AGI would enable, are going to be possible with LLMs. I mean, GPT4 can't improve itself... but it can improve your ability to utilize it. You can take a product idea that uses GPT4, feed it to GPT4 and GPT4 will help you write a frontend for it, come up with marketing campaigns, model personas and generate user stories. It can train other LLMs too. After they lowered the message cap, I had the bright idea to use it to generate several pages of fine tuning data for davinci to get better JSON responses. So far it's looking like a success. - It's not like 3.5 couldn't do all of this, but 4 already seems like an uncanny leap over 3.5 in that regard. And afaik we haven't established the ceiling on how much better LLMs will get as we simply spend more time training them, and compute simply gets faster.