When the tide goes out on the AI hype there’s going to be a lot of companies currently using expensive API calls for simple classification tasks that will be quietly revamped to use a simple CNN.
ML is a toolbox of methods. Not every problem needs a transformer.
The USGS predictive model provides the first estimate of total lithium present in Smackover Formation brines in southern Arkansas, using machine learning, which is a type of artificial intelligence.
I was disappointed in that line. They could’ve mentioned it used a random forest, which is much more informative. “ML is a type of AI” isn’t even a cocktail party understanding of the topic.
Are we getting to the critical point where we declassify a bunch of stuff as AI? Used to be expert systems were considered AI. Now anything-not-an-LLM is going to stop being AI?
Yep, back when programming language syntax started trending toward more natural language, compiler development was considered AI research. Which makes sense, because in an era of assembly on punch cards, computers that could translate higher-level instructions that read more like English into machine code you used to have to write (or punch) by hand probably felt pretty intelligent.
Isn’t it a critical component of everything currently sporting anything remotely close to a legit “AI” label? I wouldn’t call cows “one part of a broader beef ecosystem” for example. They’re fundamental to it.