I just asked Gemini 2.5 Pro to explain how to tie shoelaces to someone who has never done that before, a task probably works in its favor because it is so common, plenty of descriptions exist and most people can perform it with little cognitive effort within few seconds every day. It took about 1.5 letter-sized pages of text and still missed a little bit of detail but I think a humanoid robot could follow it and get to the right result. I imagine many tasks of machinists and craftsmen are more complex but simply don’t exist in writing, so I agree that lack of data is the obvious problem. (Cooking would be another field where AI models today may perform above their baseline.)

Also, professions like law and obviously math and software have invented their own languages that only vaguely resemble everyday-language. If we had the goal of capturing the tacit knowledge of craftsmen, like this last surviving stucco worker, we would probably also first invent a more precise language to do that.

However, there are a ton of diverse manufacturing processes, many of which don’t have good simulation solutions.

I’m interested to know which processes these are, what general categories they fall into and why we don’t have simulations for them? Is the bottleneck physics, computation, economics…?

They expand their contract with OpenBrain to set up an “Oversight Committee,” a joint management committee of company and government representatives, with several government employees included alongside company leadership. The White House considers replacing the CEO with someone they trust, but backs off after intense employee protests.

This seemed relatively less likely to me in 2027 compared to 2023 given that a few paragraphs earlier it is described that

But Agent-4 now exercises significant control over OpenBrain’s day-to-day operation.

How many human employees are working at OpenBrain at that point? What are their roles?

An employee protest in 2023 was powerful because at that point the employees were what made OpenAi valuable. In the hypothetical scenario the White House may just reply „thanks for the SSH keys“

Hey Alexey, any update on the status of the newsletter?

Psychologically, I would be angry because, apparently, everyone else was littering but it was just me who was picked for the punished. It would be unjust. Also, there were no trash bins so I couldn't had behave even if I wanted to. That doubles the injustice. Moreover, I was carrying the cup for hours, you do-gooder moron!

Historically people had to develop a thick skin if they wanted to be pro-social because of exactly this. I think from there you get the "turn the other cheek" phrase (personified in Jesus being crucified) or the idea of an invisible being watching you doing good or bad deeds and rewarding/punishing you in the afterlife. 

The Ostblock, of course, got rid of these ideas. Not sure what's going on with the Muslim countries though (something something colonialism?)

The "Moment of Maximum Tiredness"

To me, this sounds unreliable because I've experienced that tiredness can be triggered very reliably within minutes via breathing techniques such as NSDR (1, 2) therefore shifting my sleep window forward 1-2 hrs.

Hint: Macs and iOS devices come with build-in “accessibility” tools that read out loud everything on screen. The voices can be improved even more by downloading the “Siri enhanced” voice in the settings.

Here is a little detail I learned in behavioral finance class: you don’t need behavioral finance/econ to discover loss aversion. All you need is a rational utility maximizing agent in a standard neoclassical framework who has a concave utility function (such as LOG which is commonly assumed to model diminishing marginal utility). From this you see that the rational agent has more to loose from a one unit negative change than a one unit positive change i.e. loss aversion.