4 ms·
> Typewriter monkeys as a service almost. // Still useful for the odd task here and there 1) Paramount task: searching in naturally structured language, as opp
by mdp2021 2y ago
> Typewriter monkeys as a service almost. // Still useful for the odd task here and there
1) Paramount task: searching in naturally structured language, as opposed to keywords. Odd tasks: oh yes, several tasks of fuzzy sophisticated text processing previously unsolved.
2) They translate NN encodings in natural language! The issue remains about the quality of /what/ they translate in natural language, but one important chunk of the problem* is in a way solved...
Now, I've been probably one of the most vocal here, shouting "That's the opposite of intelligence!" - even in the past 24 hours -, but be objective: there are also progresses ...
(* Around five years ago we were still stuck with Hinton's problem of interpreting pronouns as pointers in "the item won't fit in the case: it's too big" vs "the item won't fit in the case: it's too small" - look at it now...)
- igleria 2y agoOf course I see progress, but I feel like the bridge of "thinks" versus "regurgitates" is still far off, if it is still in the horizon with the current approach. IMHO. edit: furthermore, LLMs probably tackle very little "real state" in the "make machines THINK" land. But a crucial piece on the overall puzzle.