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The theory of markets and capitalism is that when we compete, what we’re competing for is to get better at something that’s actually a benefit to people, so that everybody wins. So if you’re building a better mousetrap, or a better machine-learning algorithm, then that competition should generate improvement for everybody. But if it’s a purely abstract competition set up between insiders to the exclusion of outsiders, it might feel like a competition, it might feel very challenging and stressful and hard to the people doing it, but it doesn’t actually do anything for anybody else. It’s no longer genuinely productive for anybody, it’s a fake. And I’m a little concerned that a lot of what we’ve been doing in Silicon Valley has started to take on that quality. I think that’s been a problem in Wall Street for a while, but the way it’s been a problem in Wall Street has been aided by Silicon Valley. Everything becomes a little more abstract and a little more computer-based. You have this very complex style of competition that might not actually have much substance to it.

I think the fundamental mistake we made is that we set up the wrong financial incentives, and that’s caused us to turn into jerks and screw around with people too much. Way back in the ’80s, we wanted everything to be free because we were hippie socialists. But we also loved entrepreneurs because we loved Steve Jobs. So you wanna be both a socialist and a libertarian at the same time, and it’s absurd. But that’s the kind of absurdity that Silicon Valley culture has to grapple with. And there’s only one way to merge the two things, which is what we call the advertising model, where everything’s free but you pay for it by selling ads. But then because the technology gets better and better, the computers get bigger and cheaper, there’s more and more data — what started out as advertising morphed into continuous behavior modification on a mass basis, with everyone under surveillance by their devices and receiving calculated stimulus to modify them. So you end up with this mass behavior-modification empire, which is straight out of Philip K. Dick, or from earlier generations, from 1984. It’s this thing that we were warned about. It’s this thing that we knew could happen. Norbert Wiener, who coined the term cybernetics, warned about it as a possibility. And despite all the warnings, and despite all of the cautions, we just walked right into it, and we created mass behavior-modification regimes out of our digital networks. We did it out of this desire to be both cool socialists and cool libertarians at the same time.

But at the end, I have one that’s a spiritual one. The argument is that social media hates your soul. And it suggests that there’s a whole spiritual, religious belief system along with social media like Facebook that I think people don’t like. And it’s also fucking phony and false. It suggests that life is some kind of optimization, like you’re supposed to be struggling to get more followers and friends. Zuckerberg even talked about how the new goal of Facebook would be to give everybody a meaningful life, as if something about Facebook is where the meaning of life is. It suggests that you’re just a cog in a giant global brain or something like that. The rhetoric from the companies is often about AI, that what they’re really doing — like YouTube’s parent company, Google, says what they really are is building the giant global brain that’ll inherit the earth and they’ll upload you to that brain and then you won’t have to die. It’s very, very religious in the rhetoric. And so it’s turning into this new religion, and it’s a religion that doesn’t care about you. It’s a religion that’s completely lacking in empathy or any kind of personal acknowledgment. And it’s a bad religion. It’s a nerdy, empty, sterile, ugly, useless religion that’s based on false ideas. And I think that of all of the things, that’s the worst thing about it. I mean, it’s sort of like a cult of personality. It’s like in North Korea or some regime where the religion is your purpose to serve this one guy. And your purpose is to serve this one system, which happens to be controlled by one guy, in the case of Facebook. It’s not as blunt and out there, but that is the underlying message of it and it’s ugly and bad. I loathe it, and I think a lot of people have that feeling, but they might not have articulated it or gotten it to the surface because it’s just such a weird and new situation.

Yet before we have even had time to digest this criticism, the authors change their mind: Perhaps diversification is responsible for shrinkage, and it is for the best! "Some of what Kay figures as disciplinary attrition," they write, "looks from our vantage point like the very necessary unsettling of white male dominance." It is not entirely clear whether they mean that the tremendous drop in enrollment and jobs can be accounted for by the attrition of white males (it cannot), or rather, more likely, that the shrinkage of the profession is a necessary and therefore justified consequence of the moral housecleaning it was forced to endure. On the latter reading, the problem with Kay’s essay is not one of diagnosis. It is rather that he fails to appreciate the extent to which both he and the discipline he eulogizes deserve whatever misfortune happens to befall them. (Indeed, these four horsewomen of the apocalypse promise that "a cleansing flame will allow us to build a better structure.")

Their lengthy description, displaying most fully the confusions of snark for wit and of hyperbole for exactitude that pervade the piece, is not, strictly speaking, false. Choosing what to wear for conferences and interviews is not always easy. And the attempt to meet contradictory standards (formal but not too formal, etc.) leads both men and women to come to resemble one another, as they all jointly reach toward an elusive ideal of professional suitability. But this awkward process of convergence is surely just what Kay means to convey with his description of the participants as sharing a "self-conscious aesthetic." As for misogyny, it is not obvious to me who comes off worse, the men with their "mummified" hair and pairs of identical try-hard-casual sneakers, or those women in their suits. But then again, who cares? The structuring idea of the essay, remember, is that English professors are dithering while their profession dies. It is hard to imagine a better illustration of this point than four tenure-track professors spending five paragraphs of their response criticizing a line about Ann Taylor dresses.

Kay says very clearly what he misses about his life at the university: talking to and reading poetry with an adviser he admires, doing work he cares about, and being part of a community that could provide him with the opportunity to talk about literature with those who share his love for it. This fantasy is the fantasy of those who wish to dedicate themselves to a life of the mind. It is mine. Here, apparently, lies Kay’s real sin. It is not his unwitting bigotry. Ultimately, the scandal of his piece has little to do with his adoring descriptions of his academic adviser or his sartorial observational satire. His sin is that he fails to embrace his own sacrifice as well justified, fails to see his own loss as the "very necessary unsettling of white male dominance," fails to welcome the "cleansing flame." The problem is not what Kay says but that he dares to speak of his own predicament — that he dares to want publicly anything at all. After all, according to the authors, Kay, despite having had to abandon his vocation, possesses a power and freedom that they can only dream of. "Our point is this: It’s not that no woman would have written an essay like Kay’s. It’s that no woman could have done so, because no woman is permitted to navigate the MLA — let alone the world — in this fashion." Kay, that is, betrays women not only by failing to portray them as sufficiently capable and accomplished but also, and without contradiction, by failing to portray the degree to which they are, compared to him, utterly powerless. What woman could go in and out of conference rooms? What woman could sidle up to a couple of octogenarians in a conference-hotel lobby?

Here are a few specific examples you can apply to your instructional design process to help learners with metacognition: Model the metacognitive process during instruction (or in one-on-one consultations) to ask and reflect on big picture questions such as: “What questions can you answer with this tool?” “What can you not do with this tool?” Keep in mind some answers may be simple (e.g., this tool can only work with data in this way, so it is excluded automatically). Also, “Did I get the results I expected? What could I have done differently?” Start with inquiry and build conversations based on the learner’s answers. “Is it the data that does not work? Or is the research question fundamentally wrong to begin with?” Collaborate with faculty to teach together, modelling your practices while demonstrating a specific tool. This could include thinking aloud as you make decisions so learners can self-correct assumptions. Also, be aware of your own expert bias so you can demonstrate how to clear obstacles. Ask learners to specifically define what is difficult for them during the process of instruction. Digital humanities tools are complex and are based on complex methodologies and research questions. By constructing opportunities for learners to self-question as they move from one task to another, they learn to self-assess their progress and adjust accordingly. There are several instructional design activities that promote metacognition: think-pair-share, one minute paper (“share a key concept learned” or “what comes next?”), and case studies.

There are specific strategies we can implement to help learners escape the recursive spiral of the liminal state they experience while managing complex digital projects: One of the most challenging aspects of teaching digital tools is forgetting what it is like to be a novice learner. Sometimes being a near-novice oneself helps you better prepare for the basic problems and frustrations learners are facing. But recognizing liminality is a reminder to you as a teacher that the learning process is not smooth, and it requires anticipating common difficulties and regularly checking in with learners to make sure you are not leaving them behind. When meeting with learners one-on-one, make sure to use your in-depth reference interview skills to engage in methods discussions. When a learner is in the liminal state, they are not always able to “see the forest for the trees.” Your directed questions will illuminate the problems they are having and the solutions they had not seen. Pay close attention to the digital humanities work and discussions happening on your own campus, as well as across the academic community. Working through the liminal space may require helping learners make connections to others facing similar problems. Also follow online discussions in order to point your learners to a wide variety of group learning opportunities, such as the active digital humanities community on Slack.9 When designing instructional opportunities, such as workshops and hackathons, pay particular attention to outreach strategies that may bring like-minded learners together, as well as diverse voices. For example, invite the scholar whose project was completed last year to add a more experienced voice to the conversation. By encouraging the formation of learning communities on your campus, you are creating safe spaces to help learners navigate the liminal state with others who may be on the other side of struggling with specific digital project issues. In designing instructional activities, guide learners through visualization exercises that help to identify “stuck” places. Making graphic representations of one’s thoughts (e.g., concept maps) can highlight areas that require clarification.

What Lanier doesn’t say here – though he is well aware of the issue from his work on social media – is that the way content production is funded will impact how VR is used.In social media, the loudest voices get promoted through the algorithms (and get the views). We’ve been fortunate in the early stages of VR that the medium has been in the hands of artists who care deeply about humanity. They’ve been self-funded, backed by grants from film festivals and other organizations, and relied on a lot of goodwill.That’s not a sustainable environment for creating immersive content. VR content is not going to be free but outside of specific professional areas (e.g., medical education) and corporate use (eg., Wal-Mart’s training program) we don’t have a working business model. Resolving this issue is not just a business question – it’s a content question. It will directly shape the types of virtual environments and experiences we’ll have in the future.Lanier makes the point in another interview on UnDark,Let’s suppose that after Gutenberg, there was this movement to say all books must be free. Nobody can charge for a book. But it’s okay for books to have advertisements. What we would have ended up with is advertisers determining what books there were.