4 ms·
People overly impressed by LLMs haven't spent a lot of time trying to make them actually useful. When you do, you learn that they're talented mimics but still
by colechristensen 3y ago
People overly impressed by LLMs haven't spent a lot of time trying to make them actually useful.
When you do, you learn that they're talented mimics but still quite limited.
- nielsbot 3y agoPart of me wonders, though, could we "just" connect up an inference engine and voila? We could really be on a cusp of general AI. (Or it could be a ways off) That's a bit frightening in several ways.
- hackeraccount 3y agoI kind of expected AI to be AI - and not a mirror.
- nielsbot 3y agoMeaning it wouldn't necessarily be human-like?
- hackeraccount 3y agoThat'd be a start I think. Or at the very least if it was in a room alone there would be something there.
- hackeraccount 3y agoThis. LLM's have a surface that suggests they're an incredibly useful UI. That usability is like the proverbial hand full of water though - when you start to really squeeze it, it just slips away. I'm still not convinced that the problem isn't me though.
- jurgenaut23 3y agoYes, I actually think this is true. See my above comment, which supports your claim.
- wilg 3y agoI think the reason to be impressed is that they do things that were previously not possible. And they are absolutely directly useful! Just not for everything. But it seems like a very fruitful line of research, and it’s easy to believe that future iterations will have significant improvements and those improvements will happen quickly. There’s no sense worrying about whether GPT4 is smarter than a human, the interesting part is that it demonstrates that we have techniques that may be able to get you to a machine that is smarter than a human.
- TheOtherHobbes 3y agoThis also applies to humans.
- criddell 3y agoMost humans can mimic but can also describe their first-hand experience of being scared or happy or heartbroken or feeling desire etc…