I agree, that's why I said "we're seeing things we have working towards this". I think that the "jagged intelligence" that is often used to describe our curent models is confusing a lot of people. On the one hand you have models failing basic "trick" questions that a 5yo would get, but on the other hand you also have models that write better/faster kernels that can run faster/better models, and are currently used to improve the next generation (via dataset prep, filtering, RL environment creation/curation and so on).
To me it's an interesting lesson in how hard it is to predict technology advances which still applies to our own predictions of the future.
>> Well, that didn't happen.
> Predictions are not false because their claims are not in the past yet.
"Within the twentieth century" places it definitely in the past, and definitely false.