AI programs are not crystal balls.
If you’ve ever wondered what the apocalypse would look like in the United States, artificial intelligence has been asked to predict it.
Popular TikTok accounts like “Robot Overloards” have been asking AI to predict futuristic events, including the demise of humanity and the apocalypse.
The images include futuristic cities that looked deserted and crumbling.
Since the 1990s, scientists have cataloged thousands of planets outside our solar system, called exoplanets. Some of these are massive and gaseous, while others are tiny and rocky like our home world. But a recent analysis suggests that some of these exoplanets might be more dense and have more water than previously thought, which has big implications for alien life.
There are four main types of exoplanets: Neptunian, gas giant, super-Earth and terrestrial. It’s not easy spotting these planets directly, let alone figuring out what they’re made of. One of the most tried-and-true methods of exoplanet hunting is called transit photometry, which is basically pointing a telescope at a star and measuring the light when a planet swings past. A dip in brightness indicates a planet is there.
But two astronomers, Rafael Luque at the University of Chicago and Enric Pallé at the Universidad de La Laguna in Spain, wanted to find the density of certain exoplanets. When they took a closer look at some of this transit data, they discovered something was off.
The fact that our actions have an impact on the large number of people who will live after us should matter for how we think about our own lives. Those who ask themselves what they can do to act responsibly towards those who will live in the future call themselves ‘longtermists.’ Longtermism is the ethical view that we should act in ways that reduce the risks that endanger our future, and in ways that make the long-term future go well.1
Before we look ahead, let’s look back. How many came before us? How many humans have ever lived?
It is not possible to answer this question precisely, but demographers Toshiko Kaneda and Carl Haub have tackled the question using the historical knowledge that we do have.
Objects in our visual environment often move unpredictably and can suddenly speed up or slow down. The ability to account for acceleration when interacting with moving objects can be critical for survival. Here, we investigate how human observers track an accelerating target with their eyes and predict its time of reappearance after a temporal occlusion by making an interceptive hand movement. Before occlusion, observers smoothly tracked the accelerating target with their eyes. At the time of occlusion, observers made a predictive saccade to the location where they subsequently intercepted the target with a quick pointing movement.