What would Wiener think of the current human use of human beings? He would be amazed by the power of computers and the internet. He would be happy that the early neural nets in which he played a role have spawned powerful deep-learning systems that exhibit the perceptual ability he demanded of them—although he might not be impressed that one of the most prominent examples of such computerized Gestalt is the ability to recognize photos of kittens on the World Wide Web.
Sunday, April 28th, 2019
Tuesday, January 22nd, 2019
A history of buttons …and the moral panic and outrage that accompanies them.
By looking at the subtexts behind complaints about buttons, whether historically or in the present moment, it becomes clear that manufacturers, designers and users alike must pay attention to why buttons persistently engender critiques. Such negativity tends to involve one of three primary themes: fears over deskilling; frustration about lack of user agency/control; or anger due to perceptions of unequal power relations.
Tuesday, November 13th, 2018
Optimise without a face
I’ve been playing around with the newly-released Squoosh, the spiritual successor to Jake’s SVGOMG. You can drag images into the browser window, and eyeball the changes that any optimisations might make.
On a project that Cassie is working on, it worked really well for optimising some JPEGs. But there were a few images that would require a bit more fine-grained control of the optimisations. Specifically, pictures with human faces in them.
I’ve written about this before. If there’s a human face in image, I open that image in a graphics editing tool like Photoshop, select everything but the face, and add a bit of blur. Because humans are hard-wired to focus on faces, we’ll notice any jaggy artifacts on a face, but we’re far less likely to notice jagginess in background imagery: walls, materials, clothing, etc.
On the face of it (hah!), a browser-based tool like Squoosh wouldn’t be able to optimise for faces, but then Cassie pointed out something really interesting…
- Drag or upload an image into the browser window,
- A facial recognition algorithm finds any faces in the image,
- Those portions of the image remain crisp,
- The rest of the image gets a slight blur,
- Download the optimised image.
Maybe the selecting/blurring part would need canvas? I don’t know.
Anyway, I thought this was a brilliant bit of synthesis from Cassie, and now I’ve got two questions:
- Does this exist yet? And, if not,
- Does anyone want to try building it?
Thursday, October 4th, 2018
This is a rather beautiful piece of writing by Tom (especially the William Gibson bit at the end). This got me right in the feels:
Web 2.0 really, truly, is over. The public APIs, feeds to be consumed in a platform of your choice, services that had value beyond their own walls, mashups that merged content and services into new things… have all been replaced with heavyweight websites to ensure a consistent, single experience, no out-of-context content, and maximising the views of advertising. That’s it: back to single-serving websites for single-serving use cases.
A shame. A thing I had always loved about the internet was its juxtapositions, the way it supported so many use-cases all at once. At its heart, a fundamental one: it was a medium which you could both read and write to. From that flow others: it’s not only work and play that coexisted on it, but the real and the fictional; the useful and the useless; the human and the machine.
Sunday, September 30th, 2018
An online museum of sounds—the recordings of analogue machines.
Thursday, July 12th, 2018
A near-future sci-fi short by Hannu Rajaniemi that’s right on the zeitgest money.
The app in her AR glasses showed the car icon crawling along the winding forest road. In a few minutes, it would reach the sharp right turn where the road met the lake. The turn was marked by a road sign she had carefully defaced the previous day, with tiny dabs of white paint. Nearly invisible to a human, they nevertheless fooled image recognition nets into classifying the sign as a tree.
Wednesday, July 11th, 2018
From smart dust and spimes, through to online journaling and social media, to machine learning, big data and digital preservation…
Is the archive where information goes to live forever, or where data goes to die?
Tuesday, July 10th, 2018
This strikes me as a sensible way of thinking about machine learning: it’s like when we got relational databases—suddenly we could do more, quicker, and easier …but it doesn’t require us to treat the technology like it’s magic.
An important parallel here is that though relational databases had economy of scale effects, there were limited network or ‘winner takes all’ effects. The database being used by company A doesn’t get better if company B buys the same database software from the same vendor: Safeway’s database doesn’t get better if Caterpillar buys the same one. Much the same actually applies to machine learning: machine learning is all about data, but data is highly specific to particular applications. More handwriting data will make a handwriting recognizer better, and more gas turbine data will make a system that predicts failures in gas turbines better, but the one doesn’t help with the other. Data isn’t fungible.
Tuesday, June 26th, 2018
Prompted by his time at Clearleft’s AI gathering in Juvet, Chris has been delving deep into the stories we tell about artificial intelligence …and what stories are missing.
And here we are at the eponymous answer to the question that I first asked at Juvet around 7 months ago: What stories aren’t we telling ourselves about AI?
Sunday, June 24th, 2018
A really excellent piece from Derek on the history of community management online.
You have to decide what your platform is for and what it’s not for. And, yeah, that means deciding who it’s for and who it’s not for (hint: it’s not bots, nor nazis). That’s not a job you can outsource. The tech won’t do it for you. Not just because it’s your job, but because outsourcing it won’t work. It never does.
Tuesday, June 19th, 2018
A terrific cautionary look at the history of machine learning and artificial intelligence from the new laugh-a-minute book by James.
Saturday, June 16th, 2018
An even-handed assessment of the benefits and dangers of machine learning.
Friday, April 6th, 2018
There was a time, circa 2009, when no home design story could do without a reference to Mad Men. There is a time, circa 2018, when no personal tech story should do without a Black Mirror reference.
Black Mirror Home. It’s all fun and games until the screaming starts.
When these products go haywire—as they inevitably do—the Black Mirror tweets won’t seem so funny, just as Mad Men curdled, eventually, from ha-ha how far we’ve come to, oh-no we haven’t come far enough.
Friday, March 9th, 2018
We hoped for a bicycle for the mind; we got a Lazy Boy recliner for the mind.
Nicky Case on how Douglas Engelbart’s vision for human-computer augmentation has taken a turn from creation to consumption.
When you create a Human+AI team, the hard part isn’t the “AI”. It isn’t even the “Human”.
It’s the “+”.
Thursday, March 1st, 2018
Why building inclusive tech takes more than good intentions.
When we run focus groups, we joke that it’s only a matter of seconds before someone mentions Skynet or The Terminator in the context of artificial intelligence. As if we’ll go to sleep one day and wake up the next with robots marching to take over. Few things could be further from the truth. Instead, it’ll be human decisions that we made yesterday, or make today and tomorrow that will shape the future. So let’s make them together, with other people in mind.
Thursday, January 11th, 2018
Training a neural network to do front-end development.
I didn’t understand any of this.
Tuesday, January 9th, 2018
Peter looks into his crystal ball for 2018 and sees computers with eyes, computers with ears, and computers with brains.
Wednesday, October 11th, 2017
James talks about automation and understanding.
Just because a technology – whether it’s autonomous vehicles, satellite communications, or the internet – has been captured by capital and turned against the populace, doesn’t mean it does not retain a seed of utopian possibility.
Monday, June 12th, 2017
The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:
The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.
Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.
- Favor accuracy over speed
- Allow for ambiguity
- Add human judgment
- Advocate sunshine
- Embrace multiple systems
- Make it easy to contribute (accurate) data
- Root out bias and bad assumptions
- Give people control over their data
- Be loyal to the user
- Take responsibility
Saturday, April 23rd, 2016
I wrote a little something recently about some inspiring projects that people are working on. Like Matt’s Machine Supply project. There’s a physical side to that project—a tweeting book-vending machine in London—but there’s also the newsletter, 3 Books Weekly.
I was honoured to be asked by Matt to contribute three book recommendations. That newsletter went out last week. Here’s what I said…
A book about the history of telegraphy might not sound like the most riveting read, but The Victorian Internet is both fascinating and entertaining. Techno-utopianism, moral panic, entirely new ways of working, and a world that has been utterly transformed: the parallels between the telegraph and the internet are laid bare. In fact, this book made me realise that while the internet has been a great accelerator, the telegraph was one of the few instances where a technology could truly be described as “disruptive.”
After I finished reading the final Iain M. Banks novel I was craving more galaxy-spanning space opera. The premise of Ancillary Justice with its description of “ship minds” led me to believe that this could be picking up the baton from the Culture series. It isn’t. This is an entirely different civilisation, one where song-collecting and tea ceremonies have as much value as weapons and spacecraft. Ancillary Justice probes at the deepest questions of identity, both cultural and personal. As well as being beautifully written, it’s also a rollicking good revenge thriller.
China Miéville’s books are hit-and-miss for me, but this one is a direct hit. The central premise of this noir-ish tale defies easy description, so I won’t even try. In fact, one of the great pleasures of this book is to feel the way your mind is subtly contorted by the author to accept a conceit that should be completely unacceptable. Usually when a book is described as “mind-altering” it’s a way of saying it has drug-like properties, but The City & The City is mind-altering in an entirely different and wholly unique way. If Borges and Calvino teamed up to find The Maltese Falcon, the result would be something like this.
When I sent off my recommendations, I told Matt:
Oh man, it was so hard to narrow this down! So many books I wanted to mention: Station 11, The Peripheral, The Gone-Away World, Glasshouse, Foucault’s Pendulum, Oryx and Crake, The Wind-up Girl …this was so much tougher than I thought it was going to be.
And Matt said:
Tell you what — if you’d be up for writing recommendations for another 3 books, from those ones you mentioned, I’d love to feature those in the machine!
Station Eleven made think about the purpose of art and culture. If art, as Brian Eno describes it, is “everything that you don’t have to do”, what happens to art when the civilisational chips are down? There are plenty of post-pandemic stories of societal collapse. But there’s something about this one that sets it apart. It doesn’t assume that humanity will inevitably revert to an existence that is nasty, brutish and short. It’s also a beautifully-written book. The opening chapter completely sucker-punched me.
On the face of it, this appears to be another post-Singularity romp in a post-scarcity society. It is, but it’s also a damning critique of gamification. Imagine the Stanford prison experiment if it were run by godlike experimenters. Stross’s Accelerando remains the definitive description of an unfolding Singularity, but Glasshouse is the one that has stayed with me.
This isn’t an easy book to describe, but it’s a very easy book to enjoy. A delightful tale of a terrifying apocalypse, The Gone-Away World has plenty of laughs to balance out the existential dread. Try not to fall in love with the charming childhood world of the narrator—you know it can’t last. But we’ll always have mimes and ninjas.
I must admit, it’s a really lovely feeling to get notified on Twitter when someone buys one of the recommended books.
I just vended The City & The City, by China Miéville http://machine.supply/books/genmon/167— Machine Supply (@MachineSupply) March 30, 2016
I just vended The Victorian Internet, by Tom Standage http://machine.supply/books/genmon/165— Machine Supply (@MachineSupply) March 31, 2016