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I’ve mentioned this before but it’s worth revisiting.

You can use the classic reporting questions and apply them to research.

One interesting think about the latest want of AI is the idea that a model can do it all. Typically a new development is evaluated on discrete tasks to evaluate it’s performance.

What AI season are we in? Is it an AI winter, AI summer, etc.? Is there incentive for folks to say that the AI spring continues indefinitely as the definition of AI changes?

Slow food, slow productivity, what about slow AI?

Waiting for easy things helps build muscle memory when you have to wait for hard things.

Right now, keeping up with AI can be an exercise in play. It’s not clear what direction things will go, or what new capability will be identified.

Seth Godin had an interesting post recently on writing.

More experimenting with plotting with the Fever. Since the Olympic break, the team is 4-1.

This post is simply to tick the box of keeping the momentum going.