Max Tegmark Quotes

But I’ve suddenly changed my mind and turned more optimistic about our cosmic significance. Why? Because I’ve come to believe that advanced evolved life is very rare, yet has huge future potential, making our place in space and time remarkably significant.

the challenge for physics is deriving the consensus reality from the external reality, and the challenge for cognitive science is to derive the internal reality from the consensus reality.

The very fabric of our physical world, space itself, could be a purely mathematical object in the sense that its only intrinsic properties are mathematical... as dimensionality, and topology.

Let’s instead define life very broadly, simply as a process that can retain its complexity and replicate. What’s replicated isn’t matter (made of atoms) but information (made of bits) specifying how the atoms are arranged. When a bacterium makes a copy of its DNA, no new atoms are created, but a new set of atoms are arranged in the same pattern as the original, thereby copying the information. In other words, we can think of life as a self-replicating information-processing system whose information (software) determines both its behavior and the blueprints for its hardware.

… when people ask about the meaning of life as if it were the job of our cosmos to give meaning to our existence, they’re getting it backward: It’s not our Universe giving meaning to conscious beings, but conscious beings giving meaning to our Universe.

Eratosthenes... knew that the Sun was straight overhead in... Syene at noon on the summer solstice, but that it was 7.2 degrees south of straight overhead in , located 794 kilometers farther north. He concluded... 794 kilometers corresponded to 7.2 degrees out of the 360 degrees... around Earth's circumference, so that the circumference must be... 39,700 km...

I’m encouraging mine to go into professions that machines are currently bad at, and therefore seem unlikely to get automated in the near future. Recent forecasts for when various jobs will get taken over by machines identify several useful questions to ask about a career before deciding to educate oneself for it. 48 For example: • Does it require interacting with people and using social intelligence? • Does it involve creativity and coming up with clever solutions? • Does it require working in an unpredictable environment?

The DQN AI system of Google DeepMind can accomplish a slightly broader range of goals: it can play dozens of different vintage Atari computer games at human level or better. In contrast, human intelligence is thus far uniquely broad, able to master a dazzling panoply of skills.
A healthy child given enough training time can get fairly good not only at any game, but also at any language, sport or vocation. Comparing the intelligence of humans and machines today, we humans win hands-down on breadth, while machines outperform us in a small but growing number of narrow domains, as illustrated in figure 2.1. The holy grail AI research is to build “general AI” (better known as artificial general intelligence, AGI) that is maximally broad: able to accomplish virtually any goal, including learning.

If we don't know what we want we're less likely to get it.

a hallmark of a living system is that it maintains or reduces its entropy by increasing the entropy around it. In other words, the second law of thermodynamics has a life loophole: although the total entropy must increase, it’s allowed to decrease in some places as long as it increases even more elsewhere. So life maintains or increases its complexity by making its environment messier.

So I feel that the experimental verdict is in: the world is weird, and we just have to learn to live with it.

(…) the bottom line is that if you believe in an external reality independent of humans, then you must also believe that our physical reality is a mathematical structure. Nothing else has a baggage-free description. In other words, we all live in a gigantic mathematical object—one that’s more elaborate than a dodecahedron, and probably also more complex than objects with intimidating names such as Calabi-Yau manifolds, tensor bundles and Hilbert spaces, which appear in today’s most advanced physics theories. Everything in our world is purely mathematical—including you.

... achieved a breakthrough. Please hold your thumb at arm's length and alternate closing your left and right eyes a few times. ...[Y]our thumb appears to jump left and right by a certain angle relative to the background... [M]ove your thumb closer... and you'll see this jump angle growing. Astronomers call this jump angle ... [W]e can... compare telescopic photographs taken six months apart, when Earth is on opposite sides of the Sun. ...Bessel noticed ... ...moved a tiny angle, revealing its distance to be almost a million times that to the Sun... Now that Bessel knew the distance he used... [the] to figure out how luminous it was... in the same ballpark as the Sun... Giordano Bruno had been right after all!

In his 2007 book Farewell to Alms, the Scottish-American economist Gregory Clark points out that we can learn a thing or two about our future job prospects by comparing notes with our equine friends. Imagine two horses looking at an early automobile in the year 1900 and pondering their future. “I’m worried about technological unemployment.” “Neigh, neigh, don’t be a Luddite: our ancestors said the same thing when steam engines took our industry jobs and trains took our jobs pulling stage coaches. But we have more jobs than ever today, and they’re better too: I’d much rather pull a light carriage through town than spend all day walking in circles to power a stupid mine-shaft pump.” “But what if this internal combustion engine thing really takes off?” “I’m sure there’ll be new new jobs for horses that we haven’t yet imagined. That’s what’s always happened before, like with the invention of the wheel and the plow.

But why has our physical world revealed such extreme mathematical regularity that astronomy superhero Galileo Galilei proclaimed nature to be “a book written in the language of mathematics,” and Nobel Laureate Eugene Wigner stressed the “unreasonable effectiveness of mathematics in the physical sciences” as a mystery demanding an explanation?