Crosswalk robots, meant to inform the public of when it’s safe to avoid being killed by road robots, were modified to mock Zuck and Musk messaging.
For example:
…Saturday morning at the corner of Arguello Street, Broadway and Marshall Street in Redwood City, a voice claiming to be Zuckerberg says that “it’s normal to feel uncomfortable or even violated as we forcefully insert AI into every facet of your conscious experience. And I just want to assure you, you don’t need to worry because there’s absolutely nothing you can do to stop it.”
Or this one:
You know, people keep saying cancer is bad, but have you tried being a cancer? It’s f—— awesome.
The future! Hear for yourself, in front of the Apple store:
Something doesn’t add up again with Tesla, given one just accelerated against a red light straight into the side of a giant bus.
A man and his passenger in a speeding Tesla were killed Saturday when the car ran a red light in Fullerton, triggering a crash that involved an Orange County Transit Authority bus, authorities said.
What they are saying certainly makes a lot of sense, when you think about the mechanics behind a grasshopper being able to fly, versus a … fly.
Insect-scale robots face two major locomotive challenges: constrained energetics and large obstacles that far exceed their size. Terrestrial locomotion is efficient yet mostly limited to flat surfaces. In contrast, flight is versatile for overcoming obstacles but requires high power to stay aloft. Here, we present a hopping design that combines a subgram flapping-wing robot with a telescopic leg. Our robot can hop continuously while controlling jump height and frequency in the range of 1.5 to 20 centimeters and 2 to 8.4 hertz. The robot can follow positional set points, overcome tall obstacles, and traverse challenging surfaces. It can also hop on a dynamically rotating plane, recover from strong collisions, and perform somersaults. Compared to flight, this design reduces power consumption by 64 percent and increases payload by 10 times.
A new German study proves crows can see the world in terms of geometry.
The perception of geometric regularity in shapes, a form of elementary Euclidean geometry, is a fundamental mathematical intuition in humans. We demonstrate this geometric understanding in an animal, the carrion crow. Crows were trained to detect a visually distinct intruder shape among six concurrent arbitrary shapes. The crows were able to immediately apply this intruder concept to quadrilaterals, identifying the one that exhibited differing geometric properties compared to the others in the set. The crows exhibited a geometric regularity effect, showing better performance with shapes featuring right angles, parallel lines, or symmetry over more irregular shapes. This performance advantage did not require learning.