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Cue 8 paragraphs of “I first learned to cook potatoes with my grandfather back in…” and every reader screaming “Oh my god just get to the recipe…”

You’re right. I could believe these data might be explained by a lot of businesses being in a “wait and see” phase, hiring conservatively while they see how the AI thing shakes out

This is a good point, but the issue is that vendors have abused this need by not just pushing security updates, but also regular rewrites that make the products more invasive/full of language model shit - Exhibit A being anything at all from Microsoft

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For context, UK domestic energy suppliers don’t actually do any generation or distribution - they just retail electricity produced and distributed by others. So they can buy wholesale energy and attempt to compete on price, customer service, or other innovative products (eg Octopus’s dynamic pricing).

Normally I’d expect Tesla to do an Uber-style approach of subsiding the prices for the first couple of years to try to capture market share, as well as the more obvious vertical integration with their cars. But in this market, switching suppliers is too easy to make that worthwhile

I was questioning the use of the word “prolly”

“Prolly”

The idea of general intelligence (g) is that you’ve got some overall capacity that can be turned to any task. Human intelligence is probably much more like a big toolbox of skills, though, and I can’t see a version of computer “intelligence” that’s any different to that. I worry that people who get excited about AI are kidding themselves a bit as it isn’t going to be general - it’s going to be a toolbox at best: an LLM for writing, a totally different system for drawing, another for identifying birdsong, and and yet another for maths… And at that point you’ve not got some special interesting AGI - you’ve just reinvented the idea of apps

If AGI is made of components, you could argue that it isn’t “general”. Which would be fine, as most psychologists would say the same about human intelligence