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Happy #Alien Day. Here’s my trilogy of alien stories for Vice. I’ll start by listing #2 first for those who only have time for one, but they do go in chronological order: 2) https://motherboard.vice.com/en_us/article/why-havent-we-met-aliens-yet-because-theyve-evolved-into-ai & 1) https://motherboard.vice.com/en_us/article/the-internet-will-become-self-aware-when-aliens-wake-it-up & 3) (covered recently by the History Channel): https://motherboard.vice.com/en_us/article/the-language-of-aliens-will-always-be-indecipherable #transhumanism


While traveling in Western Samoa many years ago, I met a young Harvard University graduate student researching ants. He invited me on a hike into the jungles to assist with his search for the tiny insect. He told me his goal was to discover a new species of ant, in hopes it might be named after him one day.

Whenever I look up at the stars at night pondering the cosmos, I think of my ant collector friend, kneeling in the jungle with a magnifying glass, scouring the earth. I think of him, because I believe in aliens—and I’ve often wondered if aliens are doing the same to us.

Believing in aliens—or insanely smart artificial intelligences existing in the universe—has become very fashionable in the last 10 years. And discussing its central dilemma: the Fermi paradox, has become even more so. The Fermi paradox states that the universe is very big—with maybe a trillion galaxies that might contain 500 billion stars and planets each —and out of that insanely large number, it would only take a tiny fraction of them to have habitable planets capable of bringing forth life.

Whatever you think, the numbers point to the insane fact that aliens don’t just exist, but probably billions of species of aliens exist. And the Fermi paradox asks: With so many alien civilizations out there, why haven’t we found them? Or why haven’t they found us?

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(credit: Neuralink Corp.)

It’s the year 2021. A quadriplegic patient has just had one million “neural lace” microparticles injected into her brain, the world’s first human with an internet communication system using a wireless implanted brain-mind interface — and empowering her as the first superhuman cyborg. …

No, this is not a science-fiction movie plot. It’s the actual first public step — just four years from now — in Tesla CEO Elon Musk’s business plan for his latest new venture, Neuralink. It’s now explained for the first time on Tim Urban’s WaitButWhy blog.

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The fledgling “flying car” industry just received a major boost as Google cofounder Larry Page officially launched his new startup out of stealth.

Founded in 2015, Kitty Hawk has been known to exist for some time already, but we’ve hitherto had no real idea about what it was all about — beyond it having something to do with flying cars. But earlier this morning, company CEO Sebastian Thrun, who once headed up Google’s self-driving car efforts and later went on to found online learning platform Udacity, tweeted out a link to the company’s website and Twitter page. Kitty Hawk’s website now offers some clue as to what we can expect.

It transpires that Kitty Hawk isn’t working on a “flying car,” as such, instead it’s working on a personal “ultralight aircraft” designed to be flown in “uncongested” areas, particularly over fresh water — it can’t be flown in cities. And, crucially, it doesn’t require a pilot’s license, which opens things up to widespread recreational use, though this will naturally raise some safety concerns.

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Alibaba Chairman Jack Ma warned on Monday that society could see decades of pain thanks to disruption caused by the internet and new technologies to different areas of the economy.

In a speech at a China Entrepreneur Club event, the billionaire urged governments to bring in education reform and outlined how humans need to work with machines.

“In the coming 30 years, the world’s pain will be much more than happiness, because there are many more problems that we have come across,” Ma said in Chinese, speaking about potential job disruptions caused by technology.

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Artificial intelligence algorithms are being taught to generate art, human voices, and even fiction stories all on their own—why not give them a shot at building new ways to treat disease?

Atomwise, a San Francisco-based startup and Y Combinator alum, has built a system it calls AtomNet (pdf), which attempts to generate potential drugs for diseases like Ebola and multiple sclerosis. The company has invited academic and non-profit researchers from around the country to detail which diseases they’re trying to generate treatments for, so AtomNet can take a shot. The academic labs will receive 72 different drugs that the neural network has found to have the highest probability of interacting with the disease, based on the molecular data it’s seen.

Atomwise’s system only generates potential drugs—the compounds created by the neural network aren’t guaranteed to be safe, and need to go through the same drug trials and safety checks as anything else on the market. The company believes that the speed at which it can generate trial-ready drugs based on previous safe molecular interactions is what sets it apart.

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