[andy99]

Its probably cliche but I think it's both overhyped and under hyped, and for the same reason. They hype comes from "leadership" types that don't understand what LLMs actually do and so imagine all sorts of nonsense (replacing vast swaths of jobs or autonomously writing code) but don't understand how valuable a productivity enhancer and automation tool to can be. Eventually hype and reality will converge, but unlike e.g. blockchain or even some of the less bullshit "big data" and similar trends, there's no doubt that access to an LLM is a clear productivity enhancer for many jobs.

[mallowdram]

AI was a colossal mistake. A lazy primate's total failure of imagination. It conflated the "conduit metaphor paradox" from animal behavior with "the illusion of prediction/error prediction/error minimization" from spatiotemporal dynamical neuroscience with complete ignorance of the "arbitrary/specific" dichotomy in signaling from coordination dynamics. AI is a short cut to nowhere. It's an abrogation of responsibility in progress of signaling that required we evolve our lax signals that instead doubles down on them. CS destroys society as a way of pretend efficiency to extract value from signals. It's deeply inferior thinking.

[joquarky]

Let me use AI to translate this into plain English:

> AI was a huge mistake. It shows a lack of imagination and confuses ideas from different sciences. Instead of helping us improve how we communicate, it reinforces our weakest habits. Computer science pretends to make things more efficient, but really it just extracts value in shallow ways. This is poor, second-rate thinking.

[mallowdram]

It lacks references, it's garbage, advertising, cliff-notes for apes uninterested, devolving, asleep, bored, and needing to be told what to think without knowing why or how. The inertia in CS, and the inertia and entropy CS unleashed on the gen public will take years to cleanse from the system before we get back to imaginative progress and invention.