It’s Time to Embrace Slow Productivity An Article by Cal Newport www.newyorker.com The central goal of Slow Productivity is to keep an individual worker’s volume at a sustainable level. A natural fear is that by reducing the amount of work each employee tackles at any given time, it might reduce the total amount of work an organization is able to complete, making it less competitive. This fear is unfounded. As argued, when an individual’s work volume increases, so does the accompanying overhead and stress, reducing both the time remaining to actually execute the tasks and the quality of the results. If you instead enable the individual to work more sequentially, focussing on a small number of things at a time, waiting until she is done before bringing on new obligations, the rate at which she completes tasks might actually increase. Efficiency is the Enemy productivity
AI-driven "Design"? An Article by Jorge Arango jarango.com Like a programming language interpreter, GPT-3 translates the designer’s intent from a language they’re already familiar with (English) to one they need to learn (Figma’s information architecture, as manifested in its UI.) This can be easier for a new/busy designer, much like Python is easier and faster to work with than assembly language. But that’s not “designing” — at least not any more than compiling Python code is “programming.” In both cases, all the system does is translate human intent into a lower level of abstraction. Sure, the process saves time — but the key is getting the intent part right. I’ll be convinced the system is “designing” when it can produce a meaningful output to a directive like “change the product page’s layout to increase conversions.” aidesignintentabstraction