From AGI to Workslop It's time for our annual tradition: a very long list of pieces written about AI this year that have stuck with me, for better or for worse. I've sorted them in alphabetical order by keyword. I acknowledge some weak spots here, chiefly on the environment, data infrastructures, but lots of other things. I am just one guy. Did I miss anything? Come tell me on Blue Sky. I've got one post on auto-pilot and will take some time off through January, so, until then: Happy Holidays,

Sometimes the best thing an LLM can do for you is misunderstand you

Stanford's AI & Creativity expert Jeremy Utley breaks down 5 powerful techniques to unlock AI's full potential.Forget everything you think you know about AI ...

What bots are really doing in the classroom.

Yes, it still makes plenty of mistakes, but it has become part of the job for many.

AI researcher Ethan Mollick says most public conversation focuses too much on potential AI catastrophes and not enough on making the technology work for people. Mollick says if we don’t change that, none of us will be prepared for the near future where “everything will change all at once.”

Over- and under-hyping of AI.

AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

A new analogy & typology for thinking & talking about AI

AI can be a productivity tool—but you shouldn't get carried away.