You really do have to pretend that they’re insignificant.
They’re extremely significant. Overhyped? Maybe, but extremely significant nonetheless. I think a lot of people here have gone “well, if it’s overhyped, that means it isn’t even vaguely interesting” and I think the real truth, as much as I hate centrism, is in the middle.
What one would think is ai today is not really i. Chatgpt does not understand what it’s talking about and definitively can not lead the machine uprising. Straight up neural networks maybe could, but they’d need magnitudes more computing power then we have now. We would need a new ai for it to be practical.
In my experience gpt-s are more like “what are some examples of x” then “can you solve this problem”. Because the problems are either easy to google or, for the harder problems, gpt straight up lies or rambles uselessly. A search engine helper, in a way.
I’d rather we put all those MWh into solving real problems, instead of startups. Also; Nvidia, fuck you.
I think LLM’s are on the right track, while an LLM with its current architecture likely couldn’t without a ridiculous scale, they do show signs of understanding ( businessinsider.com/chatgpt-open-ai-balancing-tas… ), pretending they are nothing more than autocompletes as the people here do is disingenuous, what it does is predict, and while that’s all it does, that’s also all that makes humans special, the human mind is an object that takes sensory input, and predicts what muscle movements would be best given the sensory input, in fact, our heavy reliance on prediction is the reason magic tricks fool us, the only way to accurately predict things is through reasoning and understanding, we don’t know what happens when we scale, and there’s a reason experts predictions of when AGI will come are getting closer and closer, right before the LLM boom the average prediction was something like 40 years (based on memory), now it’s like, 10.
I consider an LLM to be akin to what would happen if a persons thoughts were immediately transformed into words, without any layer of verification, you think plenty of wrong things, but you don’t say the wrong things you think because you have a layer of verification before speech, and it turns out, according to recent research, adding a verification layer to LLM’s is extremely potent: arxiv.org/abs/2203.14465
It seems, according to this paper, that the trick is to have an LLM generate thousands of possible outputs, and have a separate tool verify their correctness, and then only present the correct output, this could possibly solve hallucination, which is one of the biggest roadblocks to actual intelligence.
While we aren’t at true intelligence yet, we are creating the building blocks that will allow for it, and it will happen, and the experts believe it’s coming soon, LLM’s are not insignificant in terms of progress.
These are tools made of the same component parts as our brain, admittedly, it takes approximately one thousand artificial neurons to simulate a real neuron, but the fact of the matter is, our minds are quite similar to these artificial minds, the artificial minds are just much, much, much, much more simple, it turns out, intelligence is likely a matter of statistical analysis.
When you look at a coffe cup from the side, you know it has a hole in it. Because you imagine, not because it’s a reflex.
LLM is basically a point cloud of words. The training uses neural networks and thus pattern recognition. But the llm itself is closer to a database. But hey, sql is also useful for ai (data storage/retrival according to logic).
I’m not an llm expert, by far. But right now they are not much more practical then a find out a bout things helper.
Edit: I do like them. It’s been helpful a couple times and i even got gpt4all installed on my computer for fun.
When you look at a coffe cup from the side, you know it has a hole in it. Because you imagine, not because it’s a reflex.
You’re looking at this backwards, you know those things because of previous experiences, you predict this might happen due to those.
This is still a matter of prediction, and if that had never happened to you even once, I guarantee you wouldn’t look for it.
They’re also significantly smaller than our brains and multimodality has been shown to help with reasoning, so, considering they’re text only and significantly smaller than our brains, their significantly reduced functionality is to be expected. Especially when you factor in that our brain has verification layers, which have only recently been discovered to work for LLM’s, none of them even implement this yet as far as i’m aware.
Perhaps it’s more of a “hey, parking is hard to come by in this neighborhood… I’ve been circling for a while and noticed that you got into your car and now I’m sitting here with my blinker on, blocking traffic, waiting for the spot to free up so I can park and get on with my day… what’s going on in there?”
You’re the asshole in that situation. Don’t expect that any parking place is yours until it’s empty, especially when you have no idea when the people actually parked in the space are leaving. You should never be blocking traffic waiting to park in an occupied space because you assume they’re leaving.
I understand this. At work parking is hella bad, so I routinely get to work over an hour early just for parking, and then most days I bring lunch or don’t eat because I don’t want to lose my parking during the day.
That being said, because I know parking sucks there, I’m extra quick when I do have to leave because I know the feeling of driving around looking for parking, becoming hopeless, and resigning to the quarter mile walk from the next closest available parking.
I’ve never understood the people who purposefully just sit there and stare at the person needing a parking spot in their rear view mirror waiting for them to leave. My dad does this, and I’m always just like “Aren’t you taking more time away from yourself now too just to stick it to someone else?”
More like seatbelt is muscle memory they don’t actively think about. Nobody is mentioning closing the door or aligning their foot to the pedals either.
Chain restaurants are sort of rare where I live (NOLA) but Dat Dog is pretty good. You basically pick a type of sausage and the toppings but the sausages are good and the toppings can involve everything from ketchup to crawfish étouffée. It’s like if a hot dog place but obviously way better.
Waiting for Bluetooth to connect, putting on seatbelt, fixing Bluetooth, putting drinks in drink holders, waiting for Bluetooth, turning on lights, fixing Bluetooth.
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