DeepSeek has been grabbing headlines in AI circles lately, showing up everywhere from Discord servers full of ML enthusiasts to LinkedIn posts where “thought leaders” tag each other in endless threads.

The Department for Science, Innovation and Technology has just dropped its long-awaited AI Opportunities Action Plan, a 50-page vision of how the UK government plans to guide us into an AI-powered future.

When he first began his excavations at what is today Hisarlik in modern-day Türkiye, Heinrich Schliemann set out to find a single city – the city of Homer’s Iliad, a city many actually felt lay in the realms of fiction rather than any map he could lay his hands on. By the time excavations were over, Schliemann would find not one but nine cities, all built on top of each other. ¹ In that, he found something relatively common – cities

As I sit here at year’s end, I’m reminded of the ancient Swedish tradition of årsgång - the ritual winter walk taken on New Year’s Eve to divine the fortunes of the coming year.

The awesome thing about language is that, well, we all mostly speak it, to some extent or another. This gives us an immensely powerful tool to manipulate transformational tasks. For the purposes of this post, I consider a transformational task to be essentially anything that takes an input and is largel intended to return some version of the same thing. This is not a very precise definition, but it will have to do for now.

The year is 1959. Eisenhower is on his second term, Castro just kicked Batista out of the country and Ray Charles’s Let the Good Times Roll is topping the charts.

Say you’re busing tables and you’re trying to pass someone in a wheelchair. What do you do? Do you say “excuse me” and wait for them to move? Do you say “excuse me” and then try to pass them? Do you just try to pass them? Do you say nothing and just try to pass them? All of these are, actually, pretty legitimate answers. Now, say you’re a robot.

It’s not every day that you find out you have climbed the exalted heights of another discipline. My work is pretty interdisciplinary, but it shocked me, too, that I’m apparently holding forth on neoliberalism and the epistemic question in African universities (archive link): This, of course, came at some surprise to me, as I have never written anything on the topic.

I love posts that allow me to merge some of my addictions.

It appears that in what is clearly a wonderful little PR stunt, a Polish rum company managed to do a Sophia and appoint an ‘AI-driven’ ‘robot’ as its ‘CEO’. The other guilty party to this pile of steaming bovine excrement is Hanson Robotics, famous for giving us Sophia, the “world’s first robot citizen”. Most of what I’m saying here goes just as well for Sophia.

In the first four entries (1 2 3 4) of this sequence, I have focused primarily on what LLMs aren’t, can’t, won’t, wouldn’t and shouldn’t. It’s probably time to conclude this series by that much awaited moment in all stories, where the darkest night finally turns into a glorious dawn, where we finally arrive at the promised land, where we finally get to talk about what LLMs could be. What I see as the most successful potential model of