I’m confused, why does that make the term no longer useful? There’s still a large distinction between companies focusing on developing AGI (OpenAI, Anthropic, etc.) vs those focusing on more ‘mundane’ advancements (Stability, Black Forest, the majority of ML research results). Though I do disagree that it was only used to distinguish them from narrow AI. Perhaps that was what it was originally, but it quickly turned into the roughly “general intelligence like a smart human” approximate meaning we have today.
I agree ‘AGI’ has become an increasingly vague term, but that’s because it is a useful distinction and so certain groups use it to hype. I don’t think abandoning a term because it is getting weakened is a great idea.
We should talk more about specific cognitive capabilities, but that isn’t stopped by us using the term AGI, it is stopped by not having people analyzing whether X is an important capability for risk or capability for stopping risk.
I’m confused, why does that make the term no longer useful? There’s still a large distinction between companies focusing on developing AGI (OpenAI, Anthropic, etc.) vs those focusing on more ‘mundane’ advancements (Stability, Black Forest, the majority of ML research results). Though I do disagree that it was only used to distinguish them from narrow AI. Perhaps that was what it was originally, but it quickly turned into the roughly “general intelligence like a smart human” approximate meaning we have today.
I agree ‘AGI’ has become an increasingly vague term, but that’s because it is a useful distinction and so certain groups use it to hype. I don’t think abandoning a term because it is getting weakened is a great idea.
We should talk more about specific cognitive capabilities, but that isn’t stopped by us using the term AGI, it is stopped by not having people analyzing whether X is an important capability for risk or capability for stopping risk.
Do my two other comments [1, 2] clarify that?