Lifeboat Foundation

Tesla CEO Elon Musk has alluded to an upcoming “tap to park” feature for the automaker’s Full Self-Driving (FSD) beta. While it isn’t clear when it’s expected to become available, some have already pointed out how useful such a feature could be.

On Friday, Musk responded to a post on X saying that Tesla is developing a feature in which the car identifies potential parking space options, letting users tap the one they want to use. Upon doing so, the driver will then be able to leave the vehicle before the vehicle parks in the selected space.

The statement came in response to another post claiming that a 360-degree bird’s eye view would be irrelevant in a world of self-driving vehicles, as the driver wouldn’t need to do anything at all for the vehicle to locate and park in a specific spot.

Exactly how is a person’s eye color determined? It depends on the amount, type and distribution of melanin, or pigment, in the iris of the eye, a genetics expert reveals — and more.

A small taste of the Core Ultra 9 185H’s flagship performance.

I’m going to read this later but the idea of light kinda/sorta traveling back in time a bit is intriguing.

Light can be reflected not only in space but also in time—and researchers exploring such “time reflections” are finding a wealth of delightfully odd and useful effects.

By Anna Demming

FIRE president Greg Lukianoff joins Bill Maher to discuss the standard for free expression on college campuses.

The FDA has approved two new gene therapies for sickle cell disease, a ‘functional cure’ for many patients.

Rolls-Royce displayed a conceptual model design of a nuclear Space Micro-Reactor at the UK Space Conference that may one day power Moon settlers.

Abstract. Individual differences in the spatial organization of resting-state networks have received increased attention in recent years. Measures of individual-specific spatial organization of brain networks and overlapping network organization have been linked to important behavioral and clinical traits and are therefore potential biomarker targets for personalized psychiatry approaches. To better understand individual-specific spatial brain organization, this paper addressed three key goals. First, we determined whether it is possible to reliably estimate weighted (non-binarized) resting-state network maps using data from only a single individual, while also maintaining maximum spatial correspondence across individuals. Second, we determined the degree of spatial overlap between distinct networks, using test-retest and twin data.

Perfect for the holiday season.

*Under very specific conditions dictated by Tesla, that is.