In the future, when space agencies start to send human crews deep into space to explore or terraform distant worlds, we may need to send them off with extra goodies to keep morale high.
When astronauts are feeling lonely, depressed, traumatized, or just generally bad, a little pick-me-up in the form of psychedelic mushrooms could help, mycologist Paul Stamets suggested to Scientific American. It’s an odd idea, but as the body of evidence continues to grow that psilocybin — the active ingredient in shrooms — may have myriad mental health benefits, it may be an odd idea worth considering.
“Under carefully controlled conditions, our astronauts [being] able to take psilocybin in space and look at the universe and not feel distant and alone but feel like they’re part of this giant consciousness will give them a better frame of mind — psychologically, emotionally — to work with other astronauts and stay on mission,” Stamets told the magazine. “I feel that isolation, loneliness, and depression are going to be major issues that astronauts face.”
In other words, the mix of positives and negatives puts this potent new suite of technologies on a knife-edge. Do we have confidence that a handful of companies that have already lost public trust can take AI in the right direction? We should have ample reason for worry considering the business models driving their motivations. To advertising-driven companies like Google and Facebook, it’s clearly beneficial to elevate content that travels faster and draws more attention—and misinformation usually does —while micro-targeting that content by harvesting user data. Consumer product companies, such as Apple, will be motivated to prioritize AI applications that help differentiate and sell their most profitable products—hardly a way to maximize the beneficial impact of AI.
Yet another challenge is the prioritization of innovation resources. The shift online during the pandemic has led to outsized profits for these companies, and concentrated even more power in their hands. They can be expected to try to maintain that momentum by prioritizing those AI investments that are most aligned with their narrow commercial objectives while ignoring the myriad other possibilities. In addition, Big Tech operates in markets with economies of scale, so there is a tendency towards big bets that can waste tremendous resources. Who remembers IBM’s Watson initiative? It aspired to become the universal, go-to digital decision tool, especially in healthcare—and failed to live up to the hype, as did the trendy driverless car initiatives of Amazon and Google parent Alphabet. While failures, false starts, and pivots are a natural part of innovation, expensive big failures driven by a few enormously wealthy companies divert resources away from more diversified investments across a range of socially productive applications.
Despite AI’s growing importance, U.S. policy on how to manage the technology is fragmented and lacks a unified vision. It also appears to be an afterthought, with lawmakers more focused on Big Tech’s anti-competitive behavior in its main markets—from search to social media to app stores. This is a missed opportunity, because AI has the potential for much deeper societal impacts than search, social media, and apps.
Tesla has started updating its Autopark feature with its new Tesla Vision computer vision system, which now powers Autopilot and its Full Self-Driving Beta.
Like many other premium (and even non-premium) vehicles, Tesla vehicles have been equipped with an autonomous parking feature called ‘ Autopark.
Tesla’s Autopark has been relying on ultrasonic sensors around the vehicles.
German researchers developed a lattice arrangement of three different layers of ferroelectric crystals that created a powerful photovoltaic effect.
Combining ultra-thin layers of different materials can raise the photovoltaic effect of solar cells by a factor of 1,000 according to researchers at Martin Luther University Halle-Wittenberg (MLU) in Germany.
Their findings, published in the journal “Science Advances,” described a lattice arrangement of three different layers of ferroelectric crystals (in this case, of barium titanate, strontium titanate, and calcium titanate) that created a powerful solar energy producing effect.
Ferroelectric means that the material has spatially separated positive and negative charges. The charge separation leads to an asymmetric structure that enables electricity to be generated from light.
Scientists and engineers since the 1940s have been toying with the idea of building self-replicating machines, or von Neumann machines, named for John von Neumann. With recent advances in 3D printing (including in zero gravity) and machine learning AI, it seems like self-replicating machines are much more feasible today. In the 21st century, a tantalizing possibility for this technology has emerged: sending a space probe out to a different star system, having it mine resources to make a copy of itself, and then launching that one to yet another star system, and on and on and on.
As a wild new episode of PBS’s YouTube series Space Time suggests, if we could send a von Neumann probe to another star system—likely Alpha Centauri, the closest to us at about 4.4 light years away—then that autonomous spaceship could land on a rocky planet, asteroid, or moon and start building a factory. (Of course, it’d probably need a nuclear fusion drive, something we still need to develop.)
That factory of autonomous machines could then construct solar panels, strip mine the world for resources, extract fuels from planetary atmospheres, build smaller probes to explore the system, and eventually build a copy of the entire von Neumann spacecraft to send off to a new star system and repeat the process. It has even been suggested that such self-replicating machines could build a Dyson sphere to harness energy from a star or terraform a planet for the eventual arrival of humans.
