NYTimes: “Planning a strength training regimen can feel overwhelming. You have to work your upper and lower body, focus on mobility and build grip strength if you have time. Wouldn’t it be easier to if you could train multiple regions at once? That’s the logic behind combination exercises, which string together two or more moves, making it easier to cover more muscle groups quickly. This not only works the targeted muscles, it also hits smaller, supporting ones during the transitions from one move to the next, said Katy Bowman, a movement teacher in Carlsborg, Wash., and author of “Move Your DNA.””
Danny Crichton: “No discussion of tech media can get past this basic traffic fact: in the AI world, Google and social no longer refer traffic, which means that the vast majority of readers just never find you in the first place.”
Aaron Zamost: “When I use these [AI coding] tools, I conclude an imaginative, future-forward company may want to increase hiring, at least of people who know how to use them creatively. In many or even most scenarios, the bottleneck that prevents the discovery of what your product should be or how you should improve the one you have is the time and effort it takes to sandbox and try out new ideas and the social blocking that occurs in meetings. Like the individual-focused PC—as opposed to the “efficiency”-oriented mainframes that preceded it—these tools mostly empower the individual to leapfrog these impediments.”
FT: “Academics at UC Berkeley’s Haas School of Business have been doing ethnographic research into how technology workers are using generative AI. Some will tell you that ethnographic business research is both the worst kind of business research and the worst kind of ethnography, but I admit to a soft spot for this stuff. What the researchers found was the opposite of Adams’ morose Vogon guard: the minutes are amazing but the hours are terrible. “In micro moments of prompting, iterating and experimenting, people talked about momentum and a sense of expanded capability,” researcher Xingqi Maggie Ye explained. “But when they stepped back and reflected on their broader work experience, a different tone sometimes emerged. They described feeling busier, more stretched, or less able to fully disconnect.” These tech workers felt that generative AI was making them dramatically more productive and capable — but they were also trying to do more, voluntarily working longer hours, and hurtling towards burnout.”
