As DHS, DNI, FBI, and the Pentagon come together before the public to say Russia is actively attacking our midterm elections, as we have long been warned they’d do, please remember that exactly 2.5 weeks ago Donald Trump stood next to Russian President Vladimir Putin, refused to confront him on the 2016 infowar campaign our intelligence officials all say happened, and called Putin’s denial of the 2016 infowar “strong and powerful.”
Seeing all the intel chiefs on stage say one thing, and knowing the President — who wasn’t there? — believes another was weird.
All of the directors seemed to be saying they believe the nature of the attacks was overwhelmingly psyops, or online campaigns intended to influence opinion and voting choices, rather than direct attacks on voting infrastructure.
Month: August 2018
General Magic
Chances are that you’ve never heard of General Magic, but in Silicon Valley the company is the stuff of legend. Magic spun out of Apple in 1990 with much of the original Mac team on board and a bold new product idea: a handheld gadget that they called a “personal communicator.” Plugged into a telephone jack, it could handle email, dial phone numbers, and even send SMS- like instant messages—complete with emoji and stickers. It had an app store stocked with downloadable games, music, and programs that could do things like check stock prices and track your expenses. It could take photos with an (optional) camera attachment. There was even a prototype with a touch screen that could make cellular calls and wirelessly surf the then- embryonic web. In other words, General Magic pulled the technological equivalent of a working iPhone out of its proverbial hat—10 years before Apple started working on the real thing. Shortly thereafter, General Magic itself vanished.
Kolmogorov Complexity
Now our understanding of our search for meaning is starting to come together. We abhor randomness and love patterns. We are biologically programmed to find some patterns that explain what they see. But we can never be certain that the pattern we’ve identified is the right one. Even if we could somehow be assured that we haven’t made a mistake, and we are exhibiting a computer-like perfection, there may always still be a deeper truth to unearth. This tension helps drive our love of literature, theater, and the cinema. When we read a novel, or watch a play, the author or director is presenting us with a sequence of events that has a common theme, pattern, or moral. Literature, plays, and the cinema offer us a delightful escape from the usual unintelligible, meaningless chaos that we find in the real world around us. Really good literature goes further, and leaves us with the possibility of many interpretations. We come face to face with the incomputability of the Kolmogorov complexity.
Since time-bounded Kolmogorov complexity is computable, a natural next question is how hard it is to compute. And this is the question that Liu and Pass proved holds the key to whether one-way functions exist. Suppose you’ve set your sights on a less lofty goal than calculating the exact time-bounded Kolmogorov complexity of every possible string — suppose you’re content to calculate it approximately, and just for most strings. If there’s an efficient way to do this, then true 1-way functions cannot exist. In that case, all our candidate 1-way functions would be instantly breakable, not just in theory but in practice. “Bye-bye to cryptography”.
Conversely, if calculating the approximate time-bounded Kolmogorov complexity is too hard to solve efficiently for many strings, then true 1-way functions must exist. If that’s the case, their paper even provides a specific way to make one. The 1-way function that they describe in their paper is too complicated to use in real-world applications, but in cryptography, practical constructions often quickly follow a theoretical breakthrough. And if their function can be made practical, it should be used in preference to the candidate 1-way functions based on multiplication and other mathematical operations.
Ancient Footprints
Dinosaurs, elephants, and giraffes were all exciting enough. More personal than stone tools, more dynamic than skeletal remains, human footprints create an unparalleled link to the distant past. The analysis of preserved human and animal footprints—known as ichnology, from the Greek word for track—allows us to imagine people not so different from us, standing, running, and playing, 100s or 1000s or even millions of years ago. “Tracks are more exciting than body fossils. They can tell a story.”
Hours of 3D photogrammetry work reveal the tracks of ancient humans on the South African coast.
Human tracks encode a startling amount of information, enough for scientists to create a brief, but illuminating, biography of a person or group of people. The average person takes an estimated 224m steps over the course of a lifetime. When preserved, footprints are a library of clues about a human’s activities, speed of travel, height, weight, and sometimes even sex. They are, however, remarkably rare in the archaeological record. In the past few years, researchers have found them in unexpected places scattered around the world: modern beaches. Finding ancient footprints in such a dynamic environment seems counterintuitive. Is there anything more ephemeral, after all, than footprints in the sand? You’d think that the action of waves and wind would wipe footprints away quickly. But, in 2012, massive storms in Wales revealed fossilized forests—and the footprints of a child, facing a prehistoric sea. In 2013, researchers stumbled across the 800 ka tracks left behind by children and adults, a small family perhaps, playing on a windswept English beach. The following year, researchers working on British Columbia’s Calvert Island found footprints dating back to the earliest days of human presence in the Americas. The one thing they all have in common is proximity to the ocean.
2023-02-26: Towards more children in Archaeology
Finding evidence of Ice Age children is difficult. It’s not just that their small, fragile bones are hard to locate. To understand why we forget about them in our reconstructions of prehistory, we also need to consider our modern assumptions about children. Why do we imagine them as ‘naive’ figures ‘free of responsibility’? Why do we assume that children couldn’t contribute meaningfully to society? Researchers who make these assumptions about children in the present are less likely to seek evidence that things were different in the past.
But using new techniques, and with different assumptions, the children of the Ice Age are being given a voice. And what they’re saying is surprising: they’re telling us different stories, not only about the roles they played in the past, but also about the evolution of human culture itself.
Human bones are fragile things, but some are more fragile than others. The larger, denser bones of adults tend to be better preserved in the archaeological record than those of children, whose bones are more like a bird’s than an elephant’s: they are smaller, more porous and less mineralized, lack tensile and compressive strength, and may not be fully fused to their shafts (in the case of long bones). These skeletons are more vulnerable to both sedimentary pressure (when buried underground) and erosion from acidic soil and biodegrading organic matter. This is one of the main reasons why telling the stories of prehistoric children has been so difficult.
Land Use
Fascinating. So much land wasted for shitty burgers.
33% of US land is used for pasture — by far the largest land-use type in the contiguous 48 states. And 25% of that land is administered by the federal government, with most occurring in the West. That land is open to grazing for a fee. There’s a single, major occupant on all this land: cows. Between pastures and cropland used to produce feed, 41% of US land in the contiguous states revolves around livestock.

80s climate mitigations
in the decade that ran from 1979 to 1989, we had an excellent opportunity to solve the climate crisis. The world’s major powers came within several signatures of endorsing a binding, global framework to reduce CO2 emissions — far closer than we’ve come since. During those years, the conditions for success could not have been more favorable. The obstacles we blame for our current inaction had yet to emerge. Almost nothing stood in our way — nothing except ourselves.
