David Gerard’s spleen is quite nice.

Why these fucking bozos piss me the fuck off
1 was drafting stuff for this book and it kept turning into short historics where I kept adding “[TK add detail]” and it felt like giving myself homework. That makes for text that bores the reader ‘cos it bores the author.
So no. I’m writing from the spleen here. It’s the only way this can work and have power.
What I hate about AT hype is that it’s by the same shitty bozos who fuck up everything else. They have no approach to the world other than fucking stuff up with money and power via technology.
As a technologist myself (a Unix/Linux system administrator for a few decades), I’m even more pissed off because the technologies are actually interesting, They do things! You could do good things with them! Even the generative stuff, you could play with it and make interesting things!
But no — these bozos being who they are, all they can think of is how to turn it to abuses. Machine learning is for systemic bias. Generative Al is for reducing artists’ labour conditions.
And the power consumption, my God! These bozos were bad enough when they were pushing crypto, and in Al they’ve even managed to replace the ghastly power waste!
Al is not about technology — it’s about power over you.
That all rings true. The technology is interesting and potentially useful, the problem is the techbro cult that is monetizing it all.
Here’s an interesting point. AI used to be marketed as “Expert Systems” back in the 1980s which faded away in the 90s, according to Wikipedia.
In the 1990s and beyond, the term expert system and the idea of a standalone AI system mostly dropped from the IT lexicon. There are two interpretations of this. One is that “expert systems failed”: the IT world moved on because expert systems did not deliver on their over hyped promise.[38][39] The other is the mirror opposite, that expert systems were simply victims of their success: as IT professionals grasped concepts such as rule engines, such tools migrated from being standalone tools for developing special purpose expert systems, to being one of many standard tools.[40] Other researchers suggest that Expert Systems caused inter-company power struggles when the IT organization lost its exclusivity in software modifications to users or Knowledge Engineers.
There are reasons it became less popular as a marketing term.
- Expert systems have superficial knowledge, and a simple task can potentially become computationally expensive.
- Expert systems require knowledge engineers to input the data, data acquisition is very hard.
- The expert system may choose the most inappropriate method for solving a particular problem.
- Problems of ethics in the use of any form of AI are very relevant at present.
- It is a closed world with specific knowledge, in which there is no deep perception of concepts and their interrelationships until an expert provides them.
Sound familiar?














