Did it, really? Or did it just provide automation for routine no-thinking-necessary text-writing tasks, but is still ultimately completely bound by the level of human operator's intelligence? I strongly suspect it's the latter. If it had actually replaced journalists it must be junk outlets, where readers' intelligence is negligible and anything goes.

Just yesterday I've used o1 and Claude 3.5 to debug a Linux kernel issue (ultimately, a bad DSDT table causing TPM2 driver unable to reserve memory region for command response buffer, the solution was to use memmap to remove NVS flag from the relevant regions) and confirmed once again LLMs still don't reason at all - just spew out plausible-looking chains of words. The models were good listeners, and a mostly-helpful code generators (when they didn't make silliest mistakes), but they gave no traces of understanding and no attention for any nuances (e.g. LLM used `IS_ERR` to check `__request_resource` result, despite me giving it full source code for that function and there's even a comment that makes it obvious it returns a pointer or NULL, not an error code - misguided attention kind of mistake).

So, in my opinion, LLMs (as currently available to broad public, like myself) are useful for automating away some routine stuff, but their usefulness is bounded by the operator's knowledge and intelligence. And that means that the actual jobs (if they require thinking and not just writing words) are safe.

When asked about what I do at work, I used to joke that I just press buttons on my keyboard in fancy patterns. Ultimately, LLMs seem to suggest that it's not what I really do.

Ford didn’t support a 40 hour work week out of the kindness of his heart. He wanted his workers to have time off for buying things (like his cars).

I wonder if our AGI industrialist overlords will do something similar for revenue sharing or UBI.