The context here is that, when AI was overhyped last time, the whole field collapsed to the level below ground. You see, overhyping doesn’t exactly help the fi

The context here is that, when AI was overhyped last time, the whole field collapsed to the level below ground. You see, overhyping doesn’t exactly help the field: (1) researchers need consistent investment over a long period of time. (2) a large amount of blind money goes into fake projects and false promises. (3) after the bubble pops, the “AI” will be bashed hard for being not very profitable. (4) here comes another winter. So, for academia, it’s better to get hyped slightly less and run longer, instead of go brrr and die tomorrow.