Link tags: computing

Creativity cannot be computed

The slides from Hidde’s presentation at Beyond Tellerrand.

She Built a Microcomputer Empire From Her Suburban Home

The story of Lore Harp McGovern is like something from Halt And Catch Fire.

Capt. Grace Hopper on Future Possibilities: Data, Hardware, Software, and People (Part One, 1982) - YouTube

Wow! Grace Hopper has always been a hero to me, but I had no idea she was such a fantastic presenter. She’s completely engaging, with the timing and deadpan delivery of a stand-up comedian at times.

The Gods of Logic, by Benjamín Labatut

Benjamín Labatut draws a line from the Vedas to George Boole and Claude Shannon onward to Geoffrey Hinton and Frank Herbert’s Butlerian Jihad.

In the coming years, as people armed with AI continue making the world faster, stranger, and more chaotic, we should do all we can to prevent these systems from giving more and more power to the few who can build them.

No Web Without Women

From Ada Lovelace to Nicola Pellow.

How do we build the future with AI? – Chelsea Troy

This is the transcript of a fantastic talk called “The Tools We Still Need to Build with AI.”

Absorb every word!

Beyond the Frame | Untangling Non-Linearity

A fascinating look at the connections between hypertext and film editing. I’m a sucker for any article that cites both Ted Nelson and Walter Murch.

In new AI hype frenzy, tech is applying the label to everything now

Today’s AI promoters are trying to have it both ways: They insist that AI is crossing a profound boundary into untrodden territory with unfathomable risks. But they also define AI so broadly as to include almost any large-scale, statistically-driven computer program.

Under this definition, everything from the Google search engine to the iPhone’s face-recognition unlocking tool to the Facebook newsfeed algorithm is already “AI-driven” — and has been for years.

AI Hype-Driven Development - Parallels in History -

Simulmatics as a company was established in 1959 and declared bankruptcy in 1970. The founders picked this name as a mash of ‘simulation’ and ‘automatic’, hoping to coin a new term that would live for decades, which apparently didn’t happen! They worked on building what they called the People Machine to simulate and predict human behavior. It was marketed as a revolutionary technology that would completely change business, politics, warfare and more. Doesn’t this sound familiar?!

The man who tried to redeem the world with logic - Big Think

The fascinating—and tragic—story of Walter Pitts and Walter McCulloch whose lives and work intersected with Norbert Wiener and John von Neumann:

Thanks to their work, there was a moment in history when neuroscience, psychiatry, computer science, mathematical logic, and artificial intelligence were all one thing, following an idea first glimpsed by Leibniz—that man, machine, number, and mind all use information as a universal currency. What appeared on the surface to be very different ingredients of the world—hunks of metal, lumps of gray matter, scratches of ink on a page—were profoundly interchangeable.

AI isn’t the app, it’s the UI - Stack Overflow Blog

In some ways, the fervor around AI is reminiscent of blockchain hype, which has steadily cooled since its 2021 peak. In almost all cases, blockchain technology serves no purpose but to make software slower, more difficult to fix, and a bigger target for scammers. AI isn’t nearly as frivolous—it has several novel use cases—but many are rightly wary of the resemblance. And there are concerns to be had; AI bears the deceptive appearance of a free lunch and, predictably, has non-obvious downsides that some founders and VCs will insist on learning the hard way.

This is a good level-headed overview of how generative language model tools work.

If something can be reduced to patterns, however elaborate they may be, AI can probably mimic it. That’s what AI does. That’s the whole story.

There’s very practical advice on deciding where and when these tools make sense:

The sweet spot for AI is a context where its choices are limited, transparent, and safe. We should be giving it an API, not an output box.

Make Something Wonderful | Steve Jobs

This anthology of Steve Jobs interviews, announcements and emails is available to read for free as a nicely typeset web book.

50 Years Later, We’re Still Living in the Xerox Alto’s World - IEEE Spectrum

A profile of the Xerox Alto and the people behind it.

Light Years Ahead | The 1969 Apollo Guidance Computer - YouTube

This video was in my “Watch Later” queue for ages but I finally got ‘round to watching it this weekend. It’s ace! Great content, great narrative, great delivery—would’ve made a good dConstruct talk.

Shift Happens

Marcin’s book is coming along nicely—you just know it’ll be a labour of love.

You’ve never seen a book on technology like this. Shift Happens is full of stories – some never before told – interleaved with 1,000+ beautiful full-color photos across two volumes.

The Kickstarter project launches in February. In the meantime, there are some keyboard-based games here for you to enjoy.

Jack Rusher ☞ Classic HCI demos

At Clarity last week, I had the great pleasure of introducing and interviewing Linda Dong who spoke about Apple’s Human Interface Guidelines. I loved the way she looked at the history of the HIG from 1977 onwards. This collection of videos is just what I need to keep spelunking into the interfaces of the past:

A curated collection of HCI demo videos produced during the golden age from 1983-2002.

The Thorny Problem of Keeping the Internet’s Time | The New Yorker

This story of the Network Time Protocol hammers home the importance of infrastructure and its maintenance:

Technology companies worth billions rely on open-source code, including N.T.P., and the maintenance of that code is often handled by a small group of individuals toiling away without pay.

Fermented Code: Modelling the Microbial Through Miso - Serpentine Galleries

Y’know, I started reading this great piece by Claire L. Evans thinking about its connections to systems thinking, but I ended up thinking more about prototyping. And microbes.

Malleable Systems Collective

Modern computing is far too rigid. Applications can only function in preset ways determined by some far away team. Software is trapped in hermetically sealed silos and is rewritten many times over rather than recomposed.

This community catalogs and experiments with malleable software and systems that reset the balance of power via several essential principles…

I’ll be adding those principles to my collection.

The Real Novelty of the ARPANET

Setting the scene:

The Washington Hilton stands near the top of a small rise about a mile and a half northeast of the National Mall. Its two white-painted modern facades sweep out in broad semicircles like the wings of a bird. The New York Times, reporting on the hotel’s completion in 1965, remarked that the building looks “like a sea gull perched on a hilltop nest.”

The hotel hides its most famous feature below ground. Underneath the driveway roundabout is an enormous ovoid event space known as the International Ballroom, which was for many years the largest pillar-less ballroom in DC. In 1967, the Doors played a concert there. In 1968, Jimi Hendrix also played a concert there. In 1972, a somewhat more sedate act took over the ballroom to put on the inaugural International Conference on Computing Communication, where a promising research project known as the ARPANET was demonstrated publicly for the first time.

It turns out that the most important innovation of the ARPANET isn’t obvious in hindsight:

So what I’m trying to drive home here is that there is an important distinction between statement A, “the ARPANET connected people in different locations via computers for the first time,” and statement B, “the ARPANET connected computer systems to each other for the first time.” That might seem like splitting hairs, but statement A elides some illuminating history in a way that statement B does not.