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If you wanted to make a really crude approximation of project management, you could say there are two main styles: waterfall and agile.

It’s not as simple as that by any means. And the two aren’t really separate things; agile came about as a response to the failures of waterfall. But if we’re going to stick with crude approximations, here we go:

• In a waterfall process, you define everything up front and then execute.
• In an agile process, you start executing and then adjust based on what you learn.

So crude! Much approximation!

It only recently struck me that the agile approach is basically a cybernetic system.

Cybernetics is pretty much anything that involves feedback. If it’s got inputs and outputs that are connected in some way, it’s probably cybernetic. Politics. Finance. Your YouTube recommendations. Every video game you’ve ever played. You. Every living thing on the planet. That’s cybernetics.

Fun fact: early on in the history of cybernetics, a bunch of folks wanted to get together at an event to geek about this stuff. But they knew that if they used the word “cybernetics” to describe the event, Norbert Wiener would show up and completely dominate proceedings. So they invented a new alias for the same thing. They coined the term “artificial intelligence”, or AI for short.

Yes, ironically the term “AI” was invented in order to repel a Reply Guy. Now it’s Reply Guy catnip. In today’s AI world, everyone’s a Norbert Wiener.

The thing that has the Wieners really excited right now in the world of programming is the idea of agentic AI. In this set-up, you don’t do any of the actual coding. Instead you specify everything up front and then have a team of artificial agents execute your plan.

That’s right; it’s a return to waterfall. But that’s not as crazy as it sounds. Waterfall was wasteful because execution was expensive and time-consuming. Now that execution is relatively cheap (you pay a bit of money to line the pockets of the worst people in exchange for literal tokens), you can afford to throw some spaghetti at the wall and see if it sticks.

But you lose the learning. The idea of a cybernetic system like, say, agile development, is that you try something, learn from it, and adjust accordingly. You remember what worked. You remember what didn’t. That’s learning.

Outsourcing execution to machines makes a lot of sense.

I’m not so sure it makes sense to outsource learning.

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.

Man-Computer Symbiosis

J. C. R. Licklider’s seminal 1960 paper. I’ve added it to this list of reading material.

The title should, of course, read “Person-Computer Symbiosis.”

Let’s reinvent the wheel ⚒ Nerd

Vasilis gives the gist of his excellent talk at the border:none event that just wrapped up in Nuremberg. The rant at the end chimed very much with my feelings on this topic:

I showed a little interaction experiment that one of my students made, with incredible attention to detail. Absolutely brilliant in so many ways. You would expect that all design agencies would be fighting to get someone like that into their design team. But to my amazement she now works as a react native developer.

I have more of these very talented, very creative designers who know how to code, who really understand how the web works, who can actually design things for the web, with the web as a medium, who understand the invisible details, who know about the UX of HTML, who know what’s possible with modern HTML and CSS. Yet when they start working they have to choose: you either join our design team and are forced to use a tool that doesn’t get it, or you join the development team and are forced to use a ridiculous framework and make crap.

Smoke screen | A Working Library

The story that “artificial intelligence” tells is a smoke screen. But smoke offers only temporary cover. It fades if it isn’t replenished.

The AI hype bubble is the new crypto hype bubble

A handy round-up of recent wrtings on artificial insemination.