Predicting the future is hard, so it’s no surprise that we occasionally miss important developments.

However, several times recently, in the contexts of Covid forecasting and AI progress, I noticed that I missed some crucial feature of a development I was interested in getting right, and it felt to me like I could’ve seen it coming if only I had tried a little harder. (Some others probably did better, but I could imagine that I wasn't the only one who got things wrong.)

Maybe this is hindsight bias, but if there’s something to it, I want to distill the nature of the mistake.

First, here are the examples that prompted me to take notice:

Predicting the course of the Covid pandemic:

• I didn’t foresee the contribution from sociological factors (e.g., “people not wanting

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1. If you find that you’re reluctant to permanently give up on to-do list items, “deprioritize” them instead

I hate the idea of deciding that something on my to-do list isn’t that important, and then deleting it off my to-do list without actually doing it. Because once it’s off my to-do list, then quite possibly I’ll never think about it again. And what if it’s actually worth doing? Or what if my priorities will change such that it will be worth doing at some point in the future? Gahh!

On the other hand, if I never delete anything off my to-do list, it will grow to infinity.

The solution I’ve settled on is a priority-categorized to-do list, using a kanban-style online tool (e.g. Trello). The left couple columns (“lists”) are very active—i.e., to-do list...

A Festival of Writers Who are Wrong on the Internet^[1]

LessOnline is a festival celebrating truth-seeking, optimization, and blogging. It's an opportunity to meet people you've only ever known by their LessWrong username or Substack handle.

We're running a rationalist conference!

The ticket cost is $400 minus your LW karma in cents.

Confirmed attendees include Scott Alexander, Zvi Mowshowitz, Eliezer Yudkowsky, Katja Grace, and Alexander Wales.

Less.Online

Go through to Less.Online to learn about who's attending, venue, location, housing, relation to Manifest, and more.

We'll post more updates about this event over the coming weeks as it all comes together.

If LessOnline is an awesome rationalist event,
I desire to believe that LessOnline is an awesome rationalist event;

If LessOnline is not an awesome rationalist event,
I desire to believe that LessOnline is not an awesome rationalist event;

Let me not become attached to beliefs I may not want.

      —Litany of Rationalist Event Organizing

1. ^{^}

   But Striving to be Less So

I stumbled upon a Twitter thread where Eliezer describes what seems to be his cognitive algorithm that is equivalent to Tune Your Cognitive Strategies, and have decided to archive / repost it here.

Sarah Constantin: I really liked this example of an introspective process, in this case about the "life problem" of scheduling dates and later canceling them: malcolmocean.com/2021/08/int…

Eliezer Yudkowsky: See, if I'd noticed myself doing anything remotely like that, I'd go back, figure out which steps of thought were actually performing intrinsically necessary cognitive work, and then retrain myself to perform only those steps over the course of 30 seconds.

SC: if you have done anything REMOTELY like training yourself to do it in 30 seconds, then you are radically smarter/more able/etc than me and all the other

Suppose Alice and Bob are two Bayesian agents in the same environment. They both basically understand how their environment works, so they generally agree on predictions about any specific directly-observable thing in the world - e.g. whenever they try to operationalize a bet, they find that their odds are roughly the same. However, their two world models might have totally different internal structure, different “latent” structures which Alice and Bob model as generating the observable world around them. As a simple toy example: maybe Alice models a bunch of numbers as having been generated by independent rolls of the same biased die, and Bob models the same numbers using some big complicated neural net. 

Now suppose Alice goes poking around inside of her world model, and somewhere in there...