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AI is creating waves by automating bad decision making, poor quality writing, slapdash research, and mediocre art. The fact it is perceived as revolutionary tells us a lot about our terrible middle managers and their slapdash decision making, poor quality research, and desire to make bad "art".

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I'm still hopeful that the planet burning AI that has enshittified so many tools I interact with every day (Google/Office/customer service interactions) will give way to a next generation of small, useful agents that don't try to do more than they are capable of.

It will require a careful dance to avoid terrifying investors. No-one will ever be allowed to admit that we've been wasting billions of dollars and burning the planet because we bought into a fantasy. So we are gradually changing the frame of that fantasy and moving it towards a useful reality.

I hope it's a bit like the dot-com bubble around 2000, where we had similar outrageous claims of what the internet could do, followed by a quick crash, but then some actually useful internet services like classic Google, Wikipedia, non-rapacious Amazon, etc.

On the other hand there's great work automating small repetitive tasks using traditional ML techniques that are getting better and faster. And small model language processing to provide a more natural interface to those very specific tools, and to allow tools to talk to one another.

This is it, I keep getting people in the co. saying "how can we use AI" and I generally reply "Don't". If they say "can we automate processing photos of cow manure for signs of mycotoxin" then there's ML near you that can help.

A journalist I know had been using a transcription program along those lines for months, to save time typing up phone interviews, said it was 90+% accurate, highlighting 'unintelligible', very useful. New release with 'added AI' was useless, inserting predictive-text sentences that no one had said.