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Woolly Mammoths in (interstellar) Spaaaaace…. (or preventing mass-extinction with tech)
A recent study shows that about 60% of the world’s wildlife has been destroyed since 1970 (CNN article), and humans are almost certainly to blame. There have only been five previous mass extinctions in the 4 billion year history of Earth, and humans have now started the sixth. What can be done? Environmentalists will usually suggest increased conservation (or reduced pollution, or perhaps writing a letter to your political representative). We’re going to need de-extinction, genetic preservation, and bioprinting technologies. We’ll need these exponential technologies not only to counter this present mass-extinction, but also to help us go to the stars and become an interplanetary and interstellar species, as we’ll explain. Incidentally, all of this genetic data will be great opportunities for bioinformatics and data science. Unfortunately, conservation, education/persuasion, and political letter-writing approaches to halting our ongoing existential mass-extinction threat are all likely to be equally futile. This is because it is very difficult to control and coordinate the activity of billions of humans (many of whom are in denial about the gravity of the situation, or, in some cases, even encouraged to disbelieve the statistics by well-funded special interests).… Read the restSignal processing, motion, and artificial intelligence: Ted Talk
Intelligence, signal processing, and motion Intelligence, as it evolved in the natural world, is closely connected to motion. As at least one neuroscientist has noted that no motion means no need for a brain. We generalize a neuroscience Ted Talk linking brains to muscles to argue that intelligence is best considered a form of signal processing in a very noisy environment. This is very different from the traditional symbolic paradigm of artificial intelligence, which is not at all suited for signal processing. We had a tremendous reader response (mostly on various different social media sites) in response to our superintelligence article. We have a lot of ground to cover to respond to all the comments. We have to explain why any of a number of paradigms place limits on any computing system (including a superintelligent one). We need to talk about why intelligence likely scales with non-linear diminishing returns with effort (and why that may make superintelligence difficult).… Read the restGlitched Alice in Wonderland Collage Part 1
Some of our Alice in Wonderland and Through the Looking Glass posts were among our most popular and most liked photos. So, of course, we did a encore. Lewis was a professor. His novels are full of puzzles, so of course is dear to us as data scientists. We previously used two of these in our puzzle segment. Post and some comments below may be synced from our original Instagram version. Instagram likes: (more…)… Read the restThanksgiving post: Boston colonial law book
Our Thanksgiving post: This is a Boston Colonial law book. This is the printed law book used by the pilgrims. Publication Boston 1685. (If you look at the text of the first section, however, it says the laws were announced 1626 and revised 1671). So this brings together a lot of recent themes: book printing, navigation (the Mayflower, right?) — more on that in bit — the Conquistadors, and, of course, Thanksgiving. Wait, did we say Conquistadors? Well, look at that date on this law book, 1685. Actually, that’s pretty late. Harvard had already been in existence for 50 years, so maybe it’s not surprising colonial Boston was already a publishing center (although let’s remember much of the planet’s population didn’t have printing presses yet let alone a 300-year old law book. This information deficit would have an impact, as we’ll see.). Then again, arch-rival Yale won’t be founded for another 17 years or so.… Read the restRecent Posts
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