Kyle Cordes

Earlier, I wrote about managing a to do list, recommending a boring general purpose tool (a spreadsheet) for the purpose. But what about managing the contents of the list, not just the bits? Here are some ideas that have proven useful.

1. If you are responsible for more items than you can easily remember, have a to do list. Ignore the advice out there to discard your list.
2. If you’re young and don’t have a list yet, consider that having one might be a necessary step to taking on more responsibilities over time.
3. Ideally, have one list. However, if your work involves sensitive information that can’t be mentioned (even tersely) on a personal device, have two lists. Keep your work and home lists, on your separate work and home devices.
4. Record each new thing to do, on the one list (or the one of two lists). Don’t let other extra lists build up elsewhere. No post-it notes, no 294 inbox emails each of which is a todo, etc.
5. Prioritize the top N items on the list each day. N might be more or less depending on the size of your items.
6. Compare/reconcile the top of your todo list, with your calendar, briefly each day.
7. Keep a close eye on urgent vs important while prioritizing. Research Eisenhower or re-read Covey if you forget.
8. Each week, review: prioritize further down the list.
9. During a review, notice items that aren’t likely to ever be of enough priority to do at all, and delete them.
10. During a review, notice items that should be on someone else’s list instead, and delegate them there.
11. During a review, notice items that are better not to do at all, and make a “not to do” list if necessary.
12. Beware the arrival of new TODOs that endlessly push the old ones down the list. New items that aren’t of enough priority to do relative to what’s on the list, are better of discarded.
13. Don’t prioritize and review too often – organization good, procrastination bad.

There is a lot of development going on in artificial intelligence. AI is back from the long “AI Winter”, and this time it seems like it is getting somewhere useful. There are types of programs which we would’ve previously called AI, the we now sometimes called the machine learning, doing real valuable work.

(How soon will this end up with a real genuinely “intelligent” computer program? Is the singularity near? Is it far? I have no idea.)

But I think this is how actual AI will make it into our lives. In an irritating, mundane, wasteful way.

Our smart phones are getting smarter and smarter. There are now features by which they can help us answer incoming messages, SMS and email. They can gather statistics about the way we have answered different messages, they can use all of the vast trove of data that are gathered about all of our activity (hello Google, how are you today?), they can mix in some “AI” techniques, and produce much-better-than-random results.

Now simply imagine progress on this for a few years, with faster and better processors in our smart phones and in the cloud. Eventually, our smartphones will get pretty decent at offering us proposed replies to incoming messages, guessing what we would say to each other. Eventually we will get tired of having to always tell our phone “yes, go ahead and answer the way you guessed”. We will be a switch offered which simply turns that feature always-on. Our devices will then be able to answer incoming messages, automatically, as if they are us, without our intervention.

More than one person will turn this on.

Artificial intelligence will then consist of our devices talking to each other, pretending to be us. If this works well enough, are we even needed at all? Some days it seems like all I do is read and write email. On such a day, if my devices could guess what I would’ve written sufficiently well (not perfectly, just sufficiently well), I can simply take that day off. Or that week. Or forever.