If I understand the point of the article it really isn’t talking about “more data” in the sense of a bigger data set to train the model on a given task. He is more commenting that given a nonsense task (like predicting criminality from a photo of a face) you can find some data to train your model. You might then be seduced by your results into thinking that the task makes sense and that your model does something meaningful. That it found a modern theory of skull shapes or whatever, when all it really did was classify mugshots.
In other words he is not addressing the cutting edge of AI research, but rather the wide eyed practitioners (and - inevitably - charlatans) who will gladly sell a model for an impossible task.
val_tuesday t1_iviyo6a wrote
Reply to comment by shumpitostick in The big data delusion – the more data we have, the harder it is to find meaningful patterns in the world. by IAI_Admin
If I understand the point of the article it really isn’t talking about “more data” in the sense of a bigger data set to train the model on a given task. He is more commenting that given a nonsense task (like predicting criminality from a photo of a face) you can find some data to train your model. You might then be seduced by your results into thinking that the task makes sense and that your model does something meaningful. That it found a modern theory of skull shapes or whatever, when all it really did was classify mugshots.
In other words he is not addressing the cutting edge of AI research, but rather the wide eyed practitioners (and - inevitably - charlatans) who will gladly sell a model for an impossible task.