Mary Martin

Particularly relevant to the idea of episodic simulation is the process of forming “implementation intentions” (Gollwitzer, 1999) which involve imagining and rehearsing a plan with reference to the specific future context in which it will be executed. Research has shown that creating implementation intentions significantly increases the likelihood... See more

Learned helplessness, the failure to escape shock induced by uncontrollable aversive events, was discovered half a century ago. Seligman and Maier (1967) theorized that animals learned that outcomes were independent of their responses—that nothing they did mattered – and that this learning undermined trying to escape. The mechanism of learned... See more

A popular narrative now casts all living entities as ‘machines’ built by genes, as Richard Dawkins called them. For Mayr, biology was unique among the sciences precisely because its objects of study possessed a program that encoded apparent purpose, design and agency into what they do. On this view, agency doesn’t actually manifest in the moment of... See more

A lot of effective altruism organizations have made AI x-risk their top cause in the last few years,” explains Sayash Kapoor from Princeton. “That means a lot of the people who are getting funding to do AI research are naturally inclined, but also have been specifically selected, for their interest in reducing AI x-risk.”

Thus, the interest in AI... See more

We humans aren't the only ones to experience cognitive decline as we age. Research conducted by neurologists and data scientists reveals that some artificial intelligence models struggle with visual, spatial, and executive tasks as they get older, suggesting that they, too, age away from peak performance. The study highlights an unanticipated... See more

“You've heard of people calling in sick. You may have called in sick a few times yourself. But have you ever thought about calling in well?

It'd go like this: You'd get the boss on the line and say, "Listen, I've been sick ever since I started working here, but today I'm well and I won't be in anymore." Call in well.”