There’s more to machine learning than ChatGPT, but you couldn’t tell that by reading the social media hot takes.
No disagreement here. But I think you’re taking people’s words a little too literally.
When people say they hate the “AI” at work, that they don’t want “AI” crammed into everything and they don’t want “AI” data centres to jack up their neighbourhood’s water and energy costs, they are actually talking about LLMs. Nobody is objecting to the TTS/STT engine on their phones, to pattern-based threat recognition online or to cancer-spotting computer vision models in modern medicine. Nobody wants to stop or even ban machine learning as a whole. They just use the broad term “AI” for the much narrower AI subclass of LLMs.
No disagreement here. But I think you’re taking people’s words a little too literally.
I know they mean LLMs and diffusion models mostly, but those same people show up in other threads about AI (like, recently, JEPA models) with the same negative attitude despite it being a research project and not a commercial project. This misconception is leading to machine learning research topics catching strays.
I know my response isn’t going to be popular, nuance isn’t something people like being faced with in their quest for outrage.
No disagreement here. But I think you’re taking people’s words a little too literally.
When people say they hate the “AI” at work, that they don’t want “AI” crammed into everything and they don’t want “AI” data centres to jack up their neighbourhood’s water and energy costs, they are actually talking about LLMs. Nobody is objecting to the TTS/STT engine on their phones, to pattern-based threat recognition online or to cancer-spotting computer vision models in modern medicine. Nobody wants to stop or even ban machine learning as a whole. They just use the broad term “AI” for the much narrower AI subclass of LLMs.
I know they mean LLMs and diffusion models mostly, but those same people show up in other threads about AI (like, recently, JEPA models) with the same negative attitude despite it being a research project and not a commercial project. This misconception is leading to machine learning research topics catching strays.
I know my response isn’t going to be popular, nuance isn’t something people like being faced with in their quest for outrage.