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The two academic authors from Massachusetts Institute of Technology, who became the pin-up boys of the Davos crowd for their previous book on The Second Machine Age (2014), do a neat job of scanning the technological horizon and highlighting significant landmarks. This is a clear and crisply written account of machine intelligence, big data and the sharing economy. But McAfee and Brynjolfsson also wisely acknowledge the limitations of their futurology and avoid over-simplification. No one can really have much idea how the business world is going to evolve or predict the precise interplay between all these fast-changing forces.


A new book by the authors of ‘The Second Machine Age’ suggests that digital disruption is coming to the corner office.

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The SETI Institute is hosting a global, public hackathon and code challenge to find a robust signal classification algorithm for use in our mission to find E.T. radio communication.

The Data Set

Each night, the SETI Institute observes signals across the radio frequency spectrum using the Allen Telescope Array (ATA). The signal detection system at the ATA searches for narrow-band radio signals coming directly from particular targets in the sky.

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The recent efforts to remove Net Neutrality have given many a sense of impending doom we are soon to face. What happens to an Internet without Net Neutrality? Advocates have a vision of the possible results — and it is quite the nightmare! In this segment of Future A to Z, The Galactic Public Archives takes a cheeky, yet compelling perspective on the issue.

Part 1 / Part 2

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According to a mind-bending new theory, a black hole could actually be a tunnel between universes, meaning our universe may be nested inside a black hole that is part of a larger universe. The theory explains that the matter doesn’t collapse into a single point, but rather gushes out a “white hole” at the other end of the black one.

The theory was published in the journal Physics Letters B, by Indiana University physicist Nikodem Poplawski. In his article, he presents new mathematical models of the spiraling motion of matter falling into the black hole. His equations suggest that wormholes are probable alternatives to the “space-time singularities” originally predicted by Albert Einstein.

Einstein’s equations for general relativity suggest singularities are created whenever matter in a given region gets too dense as would happen at the center of a black hole. Singularities are infinitely dense and hot, and take up no space. This idea has been supported by indirect evidence but has never been fully accepted into the scientific community.

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Most jobs that exist today might disappear within decades. As artificial intelligence outperforms humans in more and more tasks, it will replace humans in more and more jobs. Many new professions are likely to appear: virtual-world designers, for example. But such professions will probably require more creativity and flexibility, and it is unclear whether 40-year-old unemployed taxi drivers or insurance agents will be able to reinvent themselves as virtual-world designers (try to imagine a virtual world created by an insurance agent!). And even if the ex-insurance agent somehow makes the transition into a virtual-world designer, the pace of progress is such that within another decade he might have to reinvent himself yet again.

The crucial problem isn’t creating new jobs. The crucial problem is creating new jobs that humans perform better than algorithms. Consequently, by 2050 a new class of people might emerge – the useless class. People who are not just unemployed, but unemployable.

The same technology that renders humans useless might also make it feasible to feed and support the unemployable masses through some scheme of universal basic income. The real problem will then be to keep the masses occupied and content. People must engage in purposeful activities, or they go crazy. So what will the useless class do all day?

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Artificial intelligence is already helping determine your future – whether it’s your Netflix viewing preferences, your suitability for a mortgage or your compatibility with a prospective employer. But can we agree, at least for now, that having an AI determine your guilt or innocence in a court of law is a step too far?

Worryingly, it seems this may already be happening. When American Chief Justice John Roberts recently attended an event, he was asked whether he could forsee a day “when smart machines, driven with artificial intelligences, will assist with courtroom fact finding or, more controversially even, judicial decision making”. He responded: “It’s a day that’s here and it’s putting a significant strain on how the judiciary goes about doing things”.

Roberts might have been referring to the recent case of Eric Loomis, who was sentenced to six years in prison at least in part by the recommendation of a private company’s secret proprietary software. Loomis, who has a criminal history and was sentenced for having fled the police in a stolen car, now asserts that his right to due process was violated as neither he nor his representatives were able to scrutinise or challenge the algorithm behind the recommendation.

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Hewlett Packard Enterprise has come a big step closer to launching a computer called The Machine that it’s been talking about, researching, and developing since 2014. On Tuesday, it announced that is has a prototype of this computer that is specifically designed for the big data era.

It uses a new kind of memory to be able to store and instantly analyse mind-boggling amounts of data, potentially even a limitless amount of data. The current prototype that HPE is showing off today contains 160 terabytes (TB) of memory, which is enough to store and work with every book in the Library of Congress five times over, the company says.

Also read: Why Trump’s disclosures to Russia are ‘damaging’.

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Last month, we showed an earlier version of this robot where we’d trained its vision system using domain randomization, that is, by showing it simulated objects with a variety of color, backgrounds, and textures, without the use of any real images.

Now, we’ve developed and deployed a new algorithm, one-shot imitation learning, allowing a human to communicate how to do a new task by performing it in VR. Given a single demonstration, the robot is able to solve the same task from an arbitrary starting configuration.

Caption: Our system can learn a behavior from a single demonstration delivered within a simulator, then reproduce that behavior in different setups in reality.

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A new story out on #transhumanism:


In the Basic Income America Facebook group, Zoltan Istvan, a transhumanist who recently ran for president, shared his Wired article, Capitalism 2.0: the economy of the future will be powered by neural lace. He (along with many others) argues Wall Street, law offices, engineering firms, and more will soon be mostly void of humans.

I think I mostly agree with him. Algorithms will far surpass human ability to achieve the best possible outcomes (Nash equilibrium). Having read Super Intelligence, the Master Algorithm, The Age of Em, books on evolution, lectures, interviews, etc… I think we’re approaching an important moment in human history where we have to figure out morality so we can build it into the proto-AI children we are giving birth to. I’ve even toyed around with a fun idea related to the simulation hypothesis. Maybe we exist as a simulation, repeating the birth of AI over and over again until we figure out a way to do it without destroying ourselves or turning the universe into computonium.

I’ve argued the world may need a Universal Basic Income and Steem Power might power it. I’ve also discussed the morality of artificial intelligence. I’m a big fan of Ray Kurzweil and love hearing him lecture about the future longevity we might enjoy, but I also recognize how fragile biological life is compared to exponentially growing super intelligence. I’ve heard the concerns by Elon Musk, Stephen Hawking, and others, and to me, they are convincing.