by Jonathan Kujawa
Prime numbers are the atoms of arithmetic. Just as a water molecule can be broken into two hydrogen and one oxygen atoms, 12 can be broken into two 2s and a 3. Indeed, the defining feature of a prime number is that it cannot be factored into a nontrivial product of two smaller numbers. Two primes that are easy to remember are
12345678910987654321
and
131211109876543212345678910111213.
Prime numbers are not only fundamental in mathematics, they are a key ingredient in the cryptography that secures your bank account, email, and everything else online. We can quickly and easily multiply numbers to get things like
1619890232090123459992473430408218409867740110001373,
but it is incredibly slow and difficult to factor a number like this into its constituent primes. The primes give us a mathematical lock that is easy to close and impossible to open unless you know how it was made.

Sadly, once again, the earthly rewards of mathematics elude us. For the purposes of cryptography, pseudoprime numbers are close enough. These non-prime numbers act like prime numbers in all the important ways for cryptography, and they are much easier to find.
Nevertheless, in math and computer science circles there was a flurry of excitement this week at the discovery of a new prime. Last week, the Great Internet Mersenne Prime Search announced that
2136279841 – 1 = 881694 … 86871551
is a prime number. The … is a yada yada of an awfully large number of digits. This new prime has 41,024,320 digits. That’s 16 million more digits than the second-largest known prime.
By comparison, AES-256 encryption is widely considered to be very secure, and it uses a key that is approximately 78 digits long. This prime is way too large to be of practical use. The goal is simply to find new prime numbers.
Why? George Mallory climbed Everest for the same reason: “because it’s there.” Unlike, say, the creators of livermorium, you don’t get to name a new prime number. But how can you not want to be one of the rare few who finds a new mathematical atom? Read more »


When I was growing up, my mother and I would sometimes read or recite poetry to each other. Ours was not a poetic household, and my father would occasionally complain: “If poets have something to say, why don’t they just say it?” But we thought they did say it, albeit indirectly sometimes, and we continued with our Longfellow, a bit more quietly.







Renowned and respected for her scholarship, her history of authorship of many books on dictatorship and her political experience, is it any wonder that Anne Applebaum’s new book Autocracy, Inc. The Dictators Who Want to Run the World has been so critically received; she is an expert on her subject. This slim volume provides us with an incisive exposition and analysis of how autocrats function in the world today, securing their own personal power and wealth, and in Applebaum’s view, posing a threat to democracies.

Every time I read or watch anything about the election I hear some variant of the phrase “margin of error.” My mathematically attuned ears perk up, but usually it’s just a slightly pretentious way of saying the election is very close or else that it’s not very close. Schmargin of error might be a better name for metaphorical uses of the phrase.
Philosophical reflection on artificial intelligence (AI) has been a feature of the early days of cybernetics, with Alan Turing’s famous proposals on the notion of intelligence in the 1950s rearming old philosophical debates on the man-system or man-machine and the possibly mechanistic nature of cognition. However, AI raises questions on spheres of philosophy with the contemporary advent of connectionist artificial intelligence based on deep learning through artificial neural networks and the prodigies of generative foundation models. One of the most prominent examples is the philosophy of mind, which seeks to reflect on the benefits and limits of a computational approach to mind and consciousness. Other spheres of affected philosophies are ethics, which is confronted with original questions on agency and responsibility; political philosophy, which is obliged to think afresh about augmented action and algorithmic governance; the philosophy of language; the notion of aesthetics, which has to take an interest in artistic productions emerging from the latent spaces of AIs and where its traditional categories malfunction; and metaphysics, which has to think afresh about the supposed human exception or the question of finitude.
The opening credits of Affliction (1997) feature small, rectangular images that fill only half the screen. You wonder if something is wrong with the aspect ratio, or if the settings have been changed on your television. A succession of images is placed before the viewer: a farmhouse in a snowy field, a trailer with a police cruiser parked in front, the main street of a small, sleepy town, the schoolhouse, the town hall. The last image is a dark, rural road, with a mountain in the distance. Finally the edges of the image expand, fill the screen, and a voice begins to narrate:

