Hopefully it stands for AC Generation Improvements. If it prioritizes income it will bleed the planet dry. It needs to solve how expensive our cost is on the planet first or its entire existence was a mistake.
The definition has already been stretched to not fit the previous models. There is no meaningful, static definition that significantly predates current capabilities.
There's a reason why ai xrisk doomers had to come up with the term ASI.
I would seriously suggest that everyone take a look at the wikipedia page for AGI from the month before ChatGPT was released, compare it to the current version, and not come to that conclusion.
Continual Learning? Why is this even a question? Isn’t it a well-known glaring issue with the current models? They cannot learn/adapt to new skills (in any permanent sense) once they are deployed.
What is your definition of AGI that the current LLMs don't fit?
Autonomously Generating Income (which is why it will never be released to the general public)
Hopefully it stands for AC Generation Improvements. If it prioritizes income it will bleed the planet dry. It needs to solve how expensive our cost is on the planet first or its entire existence was a mistake.
As the old saying goes, I’ll know it when I see it. The current 5.x generation isn’t it.
Always one goalpost away from what we have.
You’d have to really stretch the definition of AGI to make the current models fit
The definition has already been stretched to not fit the previous models. There is no meaningful, static definition that significantly predates current capabilities.
There's a reason why ai xrisk doomers had to come up with the term ASI.
I would seriously suggest that everyone take a look at the wikipedia page for AGI from the month before ChatGPT was released, compare it to the current version, and not come to that conclusion.
https://en.wikipedia.org/w/index.php?title=Artificial_genera...
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AGI should be able to do every job a human can do using a computer at least as well as the average human.
That's already been true for a while, you're overestimating the average human. They just have different failure modes.
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And what is it worse at than an average human today that can be done on a computer?
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When it understands why 6 7 is funny
Continual Learning? Why is this even a question? Isn’t it a well-known glaring issue with the current models? They cannot learn/adapt to new skills (in any permanent sense) once they are deployed.