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What might this tell us about the future?  Let’s consider Ryugu as a datapoint or story for where space exploration might head next.

There isn’t a lot of press coverage beyond Japan (ah, once again I wish I read Japanese), if I go by Google News headlines.  There’s nothing on the CNN.com homepage now, other than typical spatters of dread and celebrity; the closest I can find is a link to a story about Musk’s space tourism project, which a Japanese billionaire will ride.  Nothing on Fox News or MSNBC’s main pages.  BBC News at least has a link halfway down its main page.

Hayabusa is a Japanese project, not an American one, and national interest counts for a lot.  No humans were involved, so human interest and story are absent.  Perhaps the whole project looks too science-y for a culture that spins into post-truthiness, contains some serious anti-science and anti-technology strands, or just finds science stories too dry.  Or maybe the American media outlets think Americans just aren’t that into space in particular in 2018.

as research on “priming” shows, simply discussing race at all kicks up those effects among the racially dominant group. Or to put it more bluntly, in the US context: White people really don’t like being called white people. They don’t like being reminded that they are white people, part of a group with discernible boundaries, shared interests, and shared responsibilities

one of the benefits of being in the dominant demographic and cultural group is that you are allowed to simply be a person, a blank slate upon which you can write your own individual story. You have no baggage but what you choose

The power and privilege that come along with that — being the base model, a person with no asterisk — are invisible to many white men. Simply calling them “white people,” much less questioning the behavior or beliefs of white people, drags that power and privilege into the open

The Information World War has already been going on for several years. We called the opening skirmishes “media manipulation” and “hoaxes”, assuming that we were dealing with ideological pranksters doing it for the lulz (and that lulz were harmless). In reality, the combatants are professional, state-employed cyberwarriors and seasoned amateur guerrillas pursuing very well-defined objectives with military precision and specialized tools. Each type of combatant brings a different mental model to the conflict, but uses the same set of tools.

There are also small but highly-skilled cadres of ideologically-motivated shitposters whose skill at information warfare is matched only by their fundamental incomprehension of the real damage they’re unleashing for lulz. A subset of these are conspiratorial — committed truthers who were previously limited to chatter on obscure message boards until social platform scaffolding and inadvertently-sociopathic algorithms facilitated their evolution into leaderless cults able to spread a gospel with ease.

There’s very little incentive not to try everything: this is a revolution that is being A/B tested.

Strong leader Senator Jellison (who is white) then asks former Shire founder Hugo Beck what went wrong, and Beck says his fellow hippies just never realized how great technology and laissez-faire economics were, and now all his old friends are dining on human flesh under the thumb of a scary black communist.

Today, Lucifer’s Hammer reads as a depiction of a post-apocalyptic war between Trump counties and Clinton counties, simultaneously promising American renewal even as it depicts unavoidable catastrophe. The comet acts as a cleansing, wiping away so much dead wood of civilization. (Feminism, too, comes in for repeated knocks.)

SDI was only one part of a larger right-wing techno-futurist project. SDI historian Edward Linenthal cites a 1983 interview with Newt Gingrich in which the young conservative Congressman predicted that SDI would not just destroy Russia’s Communists but liberalism, too. SDI would be “a dagger at the heart of the liberal welfare state” because it destroys “the liberal myth of scarcity,” leaving only “the limits of a free people’s ingenuity, daring, and courage.”

Wrongful arrests, an expanding surveillance dragnet, defamation and deep-fake pornography are all actually existing dangers of so-called “artificial intelligence” tools currently on the market. That, and not the imagined potential to wipe out humanity, is the real threat from artificial intelligence.

Beneath the hype from many AI firms, their technology already enables routine discrimination in housing, criminal justice and health care, as well as the spread of hate speech and misinformation in non-English languages. Already, algorithmic management programs subject workers to run-of-the-mill wage theft, and these programs are becoming more prevalent.

Corporate AI labs justify this posturing with pseudoscientific research reports that misdirect regulatory attention to such imaginary scenarios using fear-mongering terminology, such as “existential risk.”

The Surveillance State hovers over any attacks that meaningfully challenge state-appropriated power. It doesn’t just hover over it. It impedes it, it deters it and kills it.  That’s its intent. It does that by design.

the realization quickly emerged that, allowing government officials to eavesdrop on other people, on citizens, without constraints or oversight, to do so in the dark, is a power that gives so much authority and leverage to those in power that it is virtually impossible for human beings to resist abusing that power.  That’s how potent of a power it is.

If a dictator takes over the United States, the NSA could enable it to impose total tyranny, and there would be no way to fight back.

Dystopian parables like “The Walking Dead,” where zombies rule the earth, are an increasingly fashionable genre of entertainment, but the degree of apocalyptic pessimism is very different depending on the size of the screen.The dividing line between television and movies seems to be class conflict.Television shows posit a hideous future with a silver lining; survivors, good or bad, are more or less equals. Movies like “Divergent,” “Snowpiercer” and “Elysium” foresee societal divisions that last into Armageddon and beyond and that define a new, inevitably Orwellian world order that emerges from the ruins of civilization.

Movies project a morose, scary future where man is his own worst enemy, whereas television can’t entirely suppress a smile.There is something positive about the end of the world on shows like “The Walking Dead,” and “Z Nation” on Syfy and “The Last Ship,” on TNT. True, civilization as we know it is gone, but so is social stratification. Survivors don’t group into castes according to birth, race, income or religion. People of all kinds bond with whomever seems friendly, or at least unthreatening.

Dystopian movies based on young-adult novels understandably focus on the oppression of young adults, but in “Divergent” and “The Hunger Games,” a despotic elite divides the little people into cliques, only there is no prom in sight.Engels wrote about “contests between exploiting and exploited, ruling and oppressed classes.” He meant in the movies. On TV, all men are equal and equally at peril in the apocalypse.

Art Deco is the new Steampunk

A Wall Street Journal investigation into online privacy has found that the analytical skill of data handlers like [x+1] is transforming the Internet into a place where people are becoming anonymous in name only. The findings offer an early glimpse of a new, personalized Internet where sites have the ability to adjust many things—look, content, prices—based on the kind of person they think you are.

The technology raises the prospect that different visitors to a website could see different prices as well. Price discrimination is generally legal, so long as it's not based on race, gender or geography, which can be deemed "redlining."

marketplaces for online data sprang up

My father would have been unable to “teach to the test.” He once complained about errors in a sixth-grade math textbook, so he had the class learn math by designing a spaceship. My father would have been spat out by today’s test-driven educational regime.

A career in computer science makes you see the world in its terms. You start to see money as a form of information display instead of as a store of value. Money flows are the computational output of a lot of people planning, promising, evaluating, hedging and scheming, and those behaviors start to look like a set of algorithms. You start to see the weather as a computer processing bits tweaked by the sun, and gravity as a cosmic calculation that keeps events in time and space consistent. This way of seeing is becoming ever more common as people have experiences with computers. While it has its glorious moments, the computational perspective can at times be uniquely unromantic. Nothing kills music for me as much as having some algorithm calculate what music I will want to hear. That seems to miss the whole point. Inventing your musical taste is the point, isn’t it? Bringing computers into the middle of that is like paying someone to program a robot to have sex on your behalf so you don’t have to. And yet it seems we benefit from shining an objectifying digital light to disinfect our funky, lying selves once in a while. It’s heartless to have music chosen by digital algorithms. But at least there are fewer people held hostage to the tastes of bad radio D.J.’s than there once were. The trick is being ambidextrous, holding one hand to the heart while counting on the digits of the other.

The future of education in the digital age will be determined by our judgment of which aspects of the information we pass between generations can be represented in computers at all. If we try to represent something digitally when we actually can’t, we kill the romance and make some aspect of the human condition newly bland and absurd. If we romanticize information that shouldn’t be shielded from harsh calculations, we’ll suffer bad teachers and D.J.’s and their wares.

If you’re born now, your native culture is global, to an increasing extent. There are things that are unknowable for futurists of any stripe, be they science-fiction writing charlatans like myself or anthropologists in the employ of large automobile companies who are paid to figure out what people might want in ten years. One of the things that’s unknowable is how humanity will use any new technology. No one imagines that we’d wind up with a world that looks like this on the basis of the technology that’s emerged in the last hundred years. Emergent technology is the most powerful single driver of change in the world, and it has been forever. Technology trumps politics. Technology trumps religion. It just does. And that’s why we are where we are now. It seems so self-evident to me that I can never go to that Technology: threat or menace? position. Okay, well, if we don’t do this, what are we going to do? This is not only what we do, it’s literally who we are as a species. We’ve become something other than what our ancestors were. I’m sitting here at age 52 with almost all of my own teeth. That didn’t used to happen. I’m a cyborg. I’m immune to any number of lethal diseases by virtue of technology. I’m sitting on top of this enormous pyramid of technology that starts with flint hand-axes and finds me in a hotel in Austin, Texas, talking to someone thousands of miles away on a telephone and that’s just what we do. At this point, we don’t have the option of not being technological creatures.

You’ve taken to Twitter (GreatDismal). I have indeed. I’ve taken to Twitter like a duck to water. Its simplicity allows the user to customize the experience with relatively little input from the Twitter entity itself. I hope they keep it simple. It works because it’s simple. I was never interested in Facebook or MySpace because the environment seemed too top-down mediated. They feel like malls to me. But Twitter actually feels like the street. You can bump into anybody on Twitter.

Twitter’s huge. There’s a whole culture of people on Twitter who do nothing but handicap racehorses. I’ll never go there. One commonality about people I follow is that they’re all doing what I’m doing: They’re all using it as novelty aggregation and out of that grows some sense of being part of a community. It’s a strange thing. There are countless millions of communities on Twitter. They occupy the same virtual space but they never see each other. They never interact. Really, the Twitter I’m always raving about is my Twitter.

Silicon Valley’s go-to linguistic dodge: the collective we

“What kind of a world do we want to live in?”

Big tech’s collective we is its ‘all lives matter’, a way to soft-pedal concerns about privacy while refusing to speak directly to dangerous inequalities.

experts predicted networked artificial intelligence will amplify human effectiveness but also threaten human autonomy, agency and capabilities

most experts, regardless of whether they are optimistic or not, expressed concerns about the long-term impact of these new tools on the essential elements of being human. All respondents in this non-scientific canvassing were asked to elaborate on why they felt AI would leave people better off or not. Many shared deep worries, and many also suggested pathways toward solutions. The main themes they sounded about threats and remedies are outlined in the accompanying table.

CONCERNS Human agency: Individuals are  experiencing a loss of control over their lives Decision-making on key aspects of digital life is automatically ceded to code-driven, "black box" tools. People lack input and do not learn the context about how the tools work. They sacrifice independence, privacy and power over choice; they have no control over these processes. This effect will deepen as automated systems become more prevalent and complex. Data abuse: Data use and surveillance in complex systems is designed for profit or for exercising power Most AI tools are and will be in the hands of companies striving for profits or governments striving for power. Values and ethics are often not baked into the digital systems making people's decisions for them. These systems are globally networked and not easy to regulate or rein in. Job loss: The AI takeover of jobs will widen economic divides, leading to social upheaval The efficiencies and other economic advantages of code-based machine intelligence will continue to disrupt all aspects of human work. While some expect new jobs will emerge, others worry about massive job losses, widening economic divides and social upheavals, including populist uprisings. Dependence lock-in: Reduction of individuals’ cognitive, social and survival skills Many see AI as augmenting human capacities but some predict the opposite - that people's deepening dependence on machine-driven networks will erode their abilities to think for themselves, take action independent of automated systems and interact effectively with others. Mayhem: Autonomous weapons, cybercrime and weaponized information Some predict further erosion of traditional sociopolitical structures and the possibility of great loss of lives due to accelerated growth of autonomous military applications and the use of weaponized information, lies and propaganda to dangerously destabilize human groups. Some also fear cybercriminals' reach into economic systems.

the media won’t give the same time of day or coverage to communities who are being targeted by hate violence. They are spending so much time humanizing white nationalists and humanizing white supremacy that in many ways the news media  routinely ignore the ubiquitous and every day hate that communities of color and other diverse communities experience in this country

a majority of white Americans feel they are victims of discrimination. What these white Americans have to do is unpack their own anxiety, discuss this rage, and understand that the project of civil rights, human rights, equality under the law are not an assault on their racial identity. I think for some white voters it is probably about what they perceive as waning demographic and economic power

The good news is I learned from my travels around the country that the survivors of hate, people who have lost so much, are not only rebuilding but they are coming forward and they are reclaiming their lives. These survivors are working with allies to stop the hatred, building community defense programs and are willing to engage in difficult conversations with people who see the world differently from them. And I think that is something to really admire. Given what’s transpired survivors of hate have every reason to turn their backs on this country.

How and why do well-educated, well-intentioned scientists produce biased AI systems? Sociological theories of privilege provide one useful lens.

Their training data is biased. They are designed by an unrepresentative group. They face the mathematical impossibility of treating all categories equally. They must somehow trade accuracy for fairness. And their biases are hiding behind millions of inscrutable numerical parameters.

fairness can still be the victim of competitive pressures in academia and industry. The flawed Bard and Bing chatbots from Google and Microsoft are recent evidence of this grim reality. The commercial necessity of building market share led to the premature release of these systems.