Agreed, except I’m not frustrated by AI being overloaded-- it makes sense to me that a well-known, two-letter acronym be highly inclusive-- it’s frustrating that market dominance and marketing can just take over that acronym. LLM is a more accurate description than AI, but it would hurt their sales if most people understood it’s a statistical model and didn’t mistake it for a kind of intelligence.
I’m starting to think that those of us who understand this will probably fair better by forfeiting the semantics battle and making the distinction between LLM-AI and ML.
I’m starting to think that those of us who understand this will probably fair better by forfeiting the semantics battle and making the distinction between LLM-AI and ML.
I’m now picturing a future where the word AI truly becomes universally hated, and LLM lovers start calling it ML again:
No, no it’s not AI it’s machine learning
Or we all just call it applied statistics, that ought to take the magic out of it, since normal people consider statistics to be boring and mundane and certainly not intelligent.
Agreed, except I’m not frustrated by AI being overloaded-- it makes sense to me that a well-known, two-letter acronym be highly inclusive-- it’s frustrating that market dominance and marketing can just take over that acronym. LLM is a more accurate description than AI, but it would hurt their sales if most people understood it’s a statistical model and didn’t mistake it for a kind of intelligence.
I’m starting to think that those of us who understand this will probably fair better by forfeiting the semantics battle and making the distinction between LLM-AI and ML.
I’m now picturing a future where the word AI truly becomes universally hated, and LLM lovers start calling it ML again:
Or we all just call it applied statistics, that ought to take the magic out of it, since normal people consider statistics to be boring and mundane and certainly not intelligent.