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You don’t have to go from 0 to 60.

Every day, hundreds of petabytes of data are created.

The lines between research and industry in AI are a bit blurry at the moment.

It’s hard sometimes. Kids, obligations, expectations. Etc.

Behind the scenes, things are improving.

Maybe, instead of asking “What jobs will AI replace?” we should ask “What jobs will AI improve?”

I’ve written a few times about borrowing from manual/industrial jobs to inform knowledge work. But there are also key differences.

Yesterday, I listened to a podcast where the hosts discussed specialization.

How much detail do you need to adequately describe something to someone?

Is AI is going to take your job? It depends on what AI is good at.