Inside: Jeremy Meyer's typewriter assemblages; HHS to pharma: stop bribing writing docs; The Attack Surface Lectures; Youtube-dl is back; Someone Comes to Town Part 23; and more!
My latest novel is Attack Surface, a sequel to my bestselling Little Brother books. @washingtonpost called it "a political cyberthriller, vigorous, bold and savvy about the limits of revolution and resistance."
I have a (free) new book out! "How to Destroy Surveillance Capitalism" is an anti-monopolist critique of Big Tech that connects the rise of conspiratorial thinking to the rise of tech monopolies and proposes a way to deal with both:
My ebooks and audiobooks (from @torbooks, @HoZ_Books, @mcsweeneys, and others) are for sale all over the net, but I sell 'em too, and when you buy 'em from me, I earn twice as much and you get books with no DRM and no license "agreements."
* Allen School Distinguished Lecture "Early Onset Oppenheimers"
* Author Stories Podcast
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My first picture book is out! It's called Poesy the Monster Slayer and it's an epic tale of bedtime-refusal, toy-hacking and monster-hunting, illustrated by Matt Rockefeller. It's the monster book I dreamt of reading to my own daughter.
If you prefer a newsletter, subscribe to the plura-list, which is also ad- and tracker-free, and is utterly unadorned save a single daily emoji. Today's is "🏊🏽♀️". Suggestions solicited for future emojis!
Yesterday, Canadian Innovation Minister @NavdeepSBains introduced the Digital Charter Implementation Act, which proposes a national privacy standard for Canada akin to Europe's #GDPR.
The law is complex and will undergo many changes, but its two most salient features are:
I. The right to refuse to have your data collected and used; and
II. The right to have your data deleted if you change your mind.
With still penalties for companies that don't comply.
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The latter is self-explanatory, but the former is really interesting. Since the early days of packaged software, the tech industry has operated on the basis of a fictional consent: "By being stupid enough to be my customer (open this box, click this link, etc), you agree..."
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The "shitty technology adoption curve" describes the arc of oppressive technology: when you have a manifestly terrible idea, you can't ram it down the throats of rich, powerful people who get to say no. You have to find people whose complaints no one will listen to.
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So our worst tech ideas start out with prisoners, asylum seekers and mental patients, spread to children and blue collar workers, and ascend the privilege gradient to the wealthy and powerful as they are normalized and have their roughest corners sanded down.
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For example: If you ate your dinner under the unblinking gaze of a networked, remote-monitored video-camera 20 years ago, it was because you were in a supermax prison. Today, it's because you've been unwise enough to buy home cameras from Amazon, Google, or Apple.
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Today, on the Attack Surface Lectures - a series of 8 panels at 8 indie bookstores that @torbooks and I ran to launch the third Little Brother novel in Oct: Race, Surveillance, and Tech with @culturejedi and @mer__edith, hosted by @Booksmith.
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You can also watch this without Youtube surveillance on the @internetarchive:
When you think of the @rcmpgrcpolice, you probably imagine the romantic sight of guys in archaic red brocaded uniforms doing close-order drill on horses while waving Canadian flags.
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The reality is that the RCMP is a police force grounded in racial violence and genocide, which has not improved noticeably over the following century, adding dirty tricks, antidemocratic political oppression and domestic surveillance to its portfolio.
The RCMP lie about this. It's not just the official lie of good-guy Mounties patrolling the hinterlands for bandits and American gunrunners - it's a string of ongoing, highly specific, contemporary lies about the force's illegal conduct.
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One of the machine learning researchers I follow closely is @petewarden, who writes extensively about the hardware side of ML, something we hear very little about beyond vague accounts of the power-consumption and carbon footprints of cloud-based GPUs.
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Last month, Warden presented a talk predicting that there would be " tens or hundreds of billions of [embedded ML] devices over the next few years."
In a followup, Warden explains: the rise of Tinyml (a machine learning framework for low-powered, embedded processors) and the trends in hardware point to a near-future scenario where a $0.50 CPU replicates today's high-power, networked based speech recognition systems.
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