Ignoring all the safety concerns. Wouldn’t this make the door heavier and rase the center of gravity. Also where is the window going to retract to. There would need to be multiple tanks all balanced. I don’t think the tank placement is an issue for car designers.
Issue was solved and someone is trying to find a novil idea from AI to justify the cost. LLMS don’t understand what a car door is or what filling the car involves.
Those are perfect valid concerns but I believe the first one would be that you would have a hose running down through a hinge. Over time, leaks are to be expected, that is if you don’t get your car door torn off and end up covered in gasoline.
The first concern would be “why are we designing things for ICE vehicles at all?” There’s no reason to make general-purpose cars any more that aren’t electric.
Also in automobiles doors are expected to absorb the impact of side-collisions, which are very common.
The more one merelly thinks about it beyond the purelly superficial first order perspective, the more reasons pop-up not to have a fuel tank on a door.
They have no capacity for thought or introspection. It receives an input and selects tokens that match an expected output. That’s it. Yes it has been fed the entirety of human knowledge to be able to do this. But that’s like a human memorizing the entire mandarin alphabet but never learning mandarin. An Al just makes a sentence that looks right, or generates an image that matches the tokens in a prompt. I could make a mandarin sentence with random symbols, and it might even say something. Doesn’t mean I speak mandarin.
Aren’t we the same though? We don’t really know anything until we learn or train ourselves with knowledge? It’s just that LLMs only do this per prompt.
Yesn’t. What LLMs lack and causes these idiotic suggestions is context from mediums other than language. If you get down to it humans talking are also just trying to predict what should come next, but we predict this from more input than just text. Particularly with something like design, we come up with the design and then the text and maybe concept art to describe it. The llm comes up with a description that seems likely and then feeds it to a diffusion model to make an image to go with the text.
LLMs can be multimodal now. You can chuck a screenshot into claude code or whatever you use and the image generation process can also be done by the LLM itself rather than an external tool call as far as I know
Ignoring all the safety concerns. Wouldn’t this make the door heavier and rase the center of gravity. Also where is the window going to retract to. There would need to be multiple tanks all balanced. I don’t think the tank placement is an issue for car designers.
Issue was solved and someone is trying to find a novil idea from AI to justify the cost. LLMS don’t understand what a car door is or what filling the car involves.
Those are perfect valid concerns but I believe the first one would be that you would have a hose running down through a hinge. Over time, leaks are to be expected, that is if you don’t get your car door torn off and end up covered in gasoline.
The first concern would be “why are we designing things for ICE vehicles at all?” There’s no reason to make general-purpose cars any more that aren’t electric.
Mostly because people buy them. Because they’re convenient.
Also in automobiles doors are expected to absorb the impact of side-collisions, which are very common.
The more one merelly thinks about it beyond the purelly superficial first order perspective, the more reasons pop-up not to have a fuel tank on a door.
It’s not even novel, in a sense. On planes the fuel is stored mainly in the wings. This feels like an extrapolation of that.
I think AI should know that already because they basically just use all previous human knowledge unless a weak model was used for this
LLM’s don’t know anything.
They have no capacity for thought or introspection. It receives an input and selects tokens that match an expected output. That’s it. Yes it has been fed the entirety of human knowledge to be able to do this. But that’s like a human memorizing the entire mandarin alphabet but never learning mandarin. An Al just makes a sentence that looks right, or generates an image that matches the tokens in a prompt. I could make a mandarin sentence with random symbols, and it might even say something. Doesn’t mean I speak mandarin.
Aren’t we the same though? We don’t really know anything until we learn or train ourselves with knowledge? It’s just that LLMs only do this per prompt.
Yesn’t. What LLMs lack and causes these idiotic suggestions is context from mediums other than language. If you get down to it humans talking are also just trying to predict what should come next, but we predict this from more input than just text. Particularly with something like design, we come up with the design and then the text and maybe concept art to describe it. The llm comes up with a description that seems likely and then feeds it to a diffusion model to make an image to go with the text.
LLMs can be multimodal now. You can chuck a screenshot into claude code or whatever you use and the image generation process can also be done by the LLM itself rather than an external tool call as far as I know