AIs are designed to maximise plausibility, not accuracy. Because they can "lie" so convincingly, they are particularly dangerous for anything important.

Glad that coder eventually came to realise that. We need less hype and more warnings.

LLM AI should never be used for anything but entertainment purposes.
#RegulateAI

Strata management is highly regulated in NSW, has rapidly changing legislation over the last 4 years, and is highly technical, and I made the point that when it came to LLMs providing subtly wrong answers they’re the ones it’s often harder to pin down as wrong.

I describe LLM outputs as “answer-shaped”, and “correct-adjacent to varying degrees” – pareidolia unfortunately fills in many gaps between those and “correct answer”.

You forgot the 'pleasing' part.

A "statistically plausible pleasing machine." LLMs will give you the answer you want based on your repeated clarification prompts.

I think one of the major unintentional lessons of this era (both technically & politically) is the value of deep human experience.

Edit: Value & intrinsically un-automatability.

"Maybe it's more efficient just to burn it all down & start from scratch?"

"A case could be made...."

Oh wait—that was DOGE's rationale, too....

...like 3-dimensional survivor bias....

I suspect this is of a piece with, "that candidate is so obviously evil, nobody could possibly vote for them...."

Which, um.

...depending, of course, on your threshold for "normal person." I've encountered far more people that I would like who are foggy on the distinctions between "network," "computer," "operating system," "software (application)," & "document," & as a consequence get lost very quickly when trying to understand what a computer can accomplish. Likewise the difference between "The Internet" & "Facebook." (Though I encounter that conflation more rarely. Thank Ghu.)

@david_chisnall @db @TauPan

—Cal Newport—!

As @pluralistic has frequently pointed out, LLMs are not without good uses. But like any hammer, you maybe don't want to be using them on •everything•, which seems to be the attitude held by the cult-members.

Oooo, •nice• (& subtle!) distinction!

LLMs optimize for verisimilitude, not veracity.