Should scientists and the more technological minded be given more power in a capitalist world?
America is falling behind when it comes to leadership, and it's pretty much directly correlated to how we value people with technical brains. They aren't given enough power, so much of the American way of the last 50 to 60 years or so has been marginalized by middle management types. The reason, Eric Weinstein argues, is that these types don't trust the smarter and more technical minded men and women. One example Weinstein gives is that university presidents 60 years ago might come from a physics or math background—now they're much more likely to be middle management types who have worked their way up the ladder using charm. Weinstein also makes an extremely valid point that technical talent can build a more optimistic future. This was certainly the case in the middle of the 20th century, but has been lost by the wayside. Meanwhile, superpowers like China have the same outlook we used to and are vaulting ahead in the world using the same mindset we used to have.
AI is capable of self-reproduction—should humans be worried?
Those among us who fear world domination at the metallic hands of super-intelligent AI have gotten a few steps ahead of themselves. We might actually be outsmarted first by fairly dumb AI, says Eric Weinstein. Humans rarely create products with a reproductive system—you never have to worry about waking up one morning to see that your car has spawned a new car on the driveway (and if it did: cha-ching!), but artificial intelligence has the capability to respond to selective pressures, to self-replicate and spawn daughter programs that we may not easily be able to terminate. Furthermore, there are examples in nature of organisms without brains parasitizing more complex and intelligent organisms, like the mirror orchid. Rather than spend its energy producing costly nectar as a lure, it merely fools the bee into mating with its lower petal through pattern imitation: this orchid hijacks the bee's brain to meet its own agenda. Weinstein believes all the elements necessary for AI programs to parasitize humans and have us serve its needs already exists, and although it may be a "crazy-sounding future problem which no humans have ever encountered," Weinstein thinks it would be wise to devote energy to these possibilities that are not as often in the limelight.
Your mind is built to process contradictory, irrational ideas. Use that to reach new intellectual heights.
We know it's a myth that "humans only use 10% of their brains," but there might be a function of your mind that you're neglecting to use: its sandboxes. Eric Weinstein borrows this term from computer science to explain the potential of experimental thinking. A sandbox in computing is a secured place where untrusted software can run without controlling the computer or accessing its vital resources. Security specialists, for example, use sandboxes to analyze how malware behaves. Once they see and understand how it works, they can then devise a strategy to defeat it, and strengthen their own system to prevent it from getting in again.
Humans worship at the altar of excellence, but is our complete obsession with this "quality controlled" mode of intellect holding us back?
We want our surgeons to be excellent. We wants our classical music performers to be excellent. But do we really want excellence everywhere? This is the provocative line of thought economist and mathematician Eric Weinstein is currently chasing. We've figured out how to reliably teach excellence, which is useful — but there is a trade-off. Individuals and education institutions become hyper-focused on cutting variant individuals to a certain shape, pushing them into a mold so they can passably imitate the "excellent" population, but not really perform. "The key question is: who are these high-variance individuals? Why are our schools filled with dyslexics? Why are there so many kids diagnosed with ADHD? My claim is these are giant underserved populations who are not meant for the excellence model." To that end, Weinstein suggests that the label of 'learning disabled' is severely misguided. Perhaps we should call this phenomenon what it more accurately is: a teaching disability. How much genius is squandered by muting the strengths of these populations?
Eric Weinstein is an American mathematician and economist. He earned his Ph.D in mathematical physics from Harvard University in 1992, is a research fellow at the Mathematical Institute of Oxford University, and is a managing director of Thiel Capital in San Francisco. He has published works and is an expert speaker on a range of topics including economics, immigration, elite labor, mitigating financial risk and incentivizing of creative risks in the hard sciences.