this post was submitted on 17 Apr 2024
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This seems like it has pretty powerful potential for space flight.
Being able to aggressively min max packaging materials to secure materials could be critical for reducing payload sizes on shuttles, where every single individual gram counts.
Each kg of packaging is thousands of dollars to get into orbit, so that's really appealing.
I'd be curious to see if Amazon is also working on box packing algorithms for maximizing fitting n parcels across x delivery trucks.
IE if you have 10,00 boxes to move, what's the fewest delivery trucks you can fit those boxes into as fast as possible too, which introduces multiple complex concepts. Both packing to maximize space usage and the order you pack it in to minimize armature travel time...
I'd put money down amazon is perfecting this algorithm right now, and has been for awhile.
This is already worked in through mathematics, it is its own mathematical field. We can optimize packaging through formulas that are very fast and accurate. No need to train a AI for that. Especially not for space flight, AI are prone to hallucinations that is not something you want anywhere near any space mission that requires precision and predictability. I believe Johannes Kepler started this field in the 1600s, it is not something new. It is definitely a complex problem, but not new and not unheard of. Amazon is not exactly inventing something new and amazing here..
AI is not prone to hallucinations, LLMs are. I doubt Amazon is building a chatbot to optimise packaging.
What do you consider to be an AI?
And do you consider any of the existing systems to be the one?
When I use "AI" I'm using computer science terminology. Artificial intelligence is a subfield of CS, in that sense, any model that comes of that field is, by definition, AI.
Then it's strange that you are separating AI and LLM, because in CS LLM is a type of artificial intelligence.
AI as a whole is not subject to the flaws of LLMs
Some AI, namely, LLMs, can hallucinate, but not AI in general. I just had a bit of fun in how I worded it, I guess I should've expected someone to become annoyingly nitpicky about it.
Technicalities matter in technological matters.
I don't think I was being wrong, technically, I do think you can write that way if you want to be a bit facetious, but I'm not a native speaker so, maybe not.