alt Hacker NewsSerious question though - how are they going with that?
In reality, I see a lot of the current unhappiness in the Tech industry is being triggered by their pointy haired bosses wasting millions on their failed AI strategies only to embark on more failing AI strategies.
One example: I've been working for a couple years (not full time) on a high performance FOSS address matcher: https://github.com/moj-analytical-services/uk_address_matche...
Until recently LLMs have been really bad at this task. I always knew it was coming, but with GPT 5.6 they've suddenly become good. It's pretty clear to me that it won't be long before most of my work on this is rendered pointless because the LLM can either do the classification itself (when given agentic access to the canonical list of addresses), or write a classifier itself if given enough labelled data. Of course these two are complementary