Yeah, I think "AI" as a term has always been super compromised to the point of uselessness. ML in general is firmly in steps 4-5 - it's integrated into our lives in so many places and generally without the users having to think about it.
Car crash detection, automatic photo editing, heart rate sensing, etc. We use this stuff daily but there's generally little hype about the underlying tech (though some hype about specific applications).
What's in step 2 is "Generative AI", which IMO is also a misnomer for "large language models". The viability and uses of these models is far from proven out yet.
Car crash detection, automatic photo editing, heart rate sensing, etc. We use this stuff daily but there's generally little hype about the underlying tech (though some hype about specific applications).
What's in step 2 is "Generative AI", which IMO is also a misnomer for "large language models". The viability and uses of these models is far from proven out yet.