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…
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.
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