Sternhammer

This isn’t the same article but it’s relevant:

https://www.abc.net.au/news/2025-07-02/kanye-west-denied-entry-to-australia-after-antisemitic-song/105487620

The first game is set in North America but mostly looks like Iceland. I don’t have high hopes that Kojima’s Australia will be recognisably Australia.

Sounds wonderful. I recently had my writing—which is liberally sprinkled with em-dashes—edited to add spaces to conform to the house style and this made me sad.

I also feel sad that I failed to (ironically) mention the under-appreciated semicolon; punctuation that is not as adamant as a full stop but more assertive than a comma. I should use it more often.

I’ve long been an enthusiast of unpopular punctuation—the ellipsis, the em-dash, the interrobang‽

The trick to using the em-dash is not to surround it with spaces which tend to break up the text visually. So, this feels good—to me—whereas this — feels unpleasant. I learnt this approach from reading typographer Erik Spiekermann’s book, *Stop Stealing Sheep & Find Out How Type Works.

Laughs in Queensland

Plus there is a tiny little Texas inside Queensland.

I agree. Subtly different but overall and surprisingly very similar.

PresAux are more hippy like and a little less like the academics in the book which I find just a little annoying but it’s OK (I’m an academic).

One of the things I’m really curious about is how they flesh out the contrast between the capitalist dystopia of the Corporation Rim and the clearly socialist Preservation Aux. I feel like it’s a politically charged topic in the current capitalist dystopia American context (at least that’s how it looks to me from outside America). I keep waiting for them to water it down but they haven’t done it so far. Good on em.

COVID pandemic started in Wuhan market animals after all, suggests latest study The finding comes from a reanalysis of genomic data.

LLMs don’t ’remember the entire contents of each book they read’. The data are used to train the LLMs predictive capabilities for sequences of words (or more accurately, tokens). In a sense, it develops of lossy model of its training data not a literal database. LLMs use a stochastic process which means you’ll get different results each time you ask any given question, not deterministic regurgitation of ‘read texts’. This is why it’s a transformative process and also why LLMs can hallucinate nonsense.

This stuff is counter-intuitive. Below is a very good, in-depth explanation that really helped me get a sense of how these things work. Highly recommended if you can spare the 3 hours (!):

https://www.youtube.com/watch?v=7xTGNNLPyMI&list=PLMtPKpcZqZMzfmi6lOtY6dgKXrapOYLlN

A cage match would be good. Hopefully neither will survive.

Every single thing Trump does is about the grift.

It’s a brilliant book, though I have yet to read the sequel. Can’t recommend it enough.

I don’t think there’s any coherent end game for global oligarchs, just the habit of acquisition and growth without limit. It’s a kind of mental illness, in my opinion. As they say, the world has enough for everyone but not enough for the rich.

In terms of population and the ruling class it’s interesting to consider feudal Europe. Lords had complete control over those who worked their land. Serfs even needed permission from their lord to leave their village for any reason, they had no freedom to look for a better life elsewhere. (Incidentally this is why there are so many accents in the places like the UK—isolation lead to language differentiation.)

The Black Death destroyed the feudal system due to population collapse (on a scale that’s difficult to comprehend) and the nobility suddenly had to compete for workers, offering better pay and conditions to lure them to work their land. This lead to increased social mobility and the rise of the middle class.

We may be heading towards a new feudalism but it’s difficult to predict what it might be like, especially if there’s a population crash. Capitalism needs consumers no matter how much automation is employed to produce goods.