📸 A staircase made to impress (Casa Navàs in Reus)
📸 A staircase made to impress (Casa Navàs in Reus)
January 1st is the correct time to wrap up the year. As always, Spotify and Apple Music jump the gun by releasing their reports a month too early—so frustrating!
Currently reading: Aprende a tomar notas con tu Cerebro Digital: Leer es perder el tiempo si luego no puedes recuperar esa información by Marcos Emowe 📚
Finished reading: Do Hard Things by Steve Magness 📚
This is so exciting: the first beta version of the Tana mobile app is finally available!
Now I can access all my notes wherever I am.
What if you can’t fit all your big rocks into the jar?
“You waste years by not being able to waste hours” — Amos Tversky
I make sure to waste a little time every day.
Life any other tool, you should first learn what it can and can’t do.
While AI struggles to do any one thing better than an experienced human, it can elevate anyone to a better beginner status in many skills they’re unfamiliar with. Whatever you’re an expert in, chances are, AI will look weak in comparison. But take off your expert hat, and voilà, you might find it helpful here and there.
Una consejo muy atrevido en la guía de Microsoft Outlook:
No es necesario (y en el caso de grandes volúmenes, probablemente no pueda) leer todos los mensajes que le envían.
In the past, work was often simple and predictable. There were fixed processes and predictable outcomes, as Armand Hatchuel describes. This made it easy to measure and manage performance. If there were problems, such as a broken machine or a sick employee, managers could quickly intervene to achieve the same results.
Today, work is different. Hatchuel calls this “unconfined” work. It involves jobs like knowledge work, care work, and creative work, where you don’t know in advance what the outcome will be. Innovation and surprising outcomes are often the goal. This means you only know what the result is once it’s finished. There is a lot of uncertainty about how much effort it takes to achieve these unpredictable results. For example, a home care worker doesn’t know what they will encounter with a client, a designer doesn’t know how a client will react to an idea, and a software developer can’t always predict what problems will arise with the code.
Modern work is thus unconfined because it is not tied to fixed rules or predictable results. It requires a lot of flexibility and adaptability from workers, whether the work is physical or mental. The real challenge is dealing with the absence of boundaries and navigating the uncertainties and complexities that come with this type of work.