It is and it isn't. If you ask a human how many calories (or carbs) are in that sandwich, they can give you a qualified guess based on how a sandwich like that is typically constructed. They may not know the calories for a slice of bread or a slice of cheese by heart, but if you give them a food database, they can look it up.
They absolutely won't be 100% correct (bread sizes e.g. are going to be an estimate), but unless it's a trick sandwich drenched in olive oil or with hollow cheese, they're probably going to be in the right ballpark.
I don't think it's outside the realm of possibility for an LLM to be in the right ballpark as well, but that doesn't seem to be where we're at now.
Plastic isn't a single material. Some plastic materials (e.g PE, polyethylene or PVC, polyvinyl chlorine, but also others that use ethylene derivatives as intermediates) require ethylene, but there certainly are plastic materials which are produced without any involvement of ethylene or other petrolium derivatives.
True. I do however like the process of working with an AI more in a language like Rust. It's a lot less prone to use ugly hacks to make something that compiles but fail spectacularly at runtime - usually because it can't get the ugly hacks to compile :D
Makes it easier to intercede to steer the AI in the right direction.
In my experience AI and Rust is a mixed bag. The strong compile-time checks mean an agent can verify its work to a much larger extent than many other languages, but the understanding of lifetimes is somewhat weak (although better in Opus 4.5 than earlier models!), and the ecosystem moves fast and fairly often makes breaking changes, meaning that a lot of the training data is obsolete.
> Would I rather work on this all day instead of a laptop?
That really is the $3,500 question. Can I see myself preferring to work streaming my Mac's screen to a Vision Pro for my IDE, having and things like Slack and e-mail off to the side running on the headset? I don't know, but if I can, this seems worth it to me.
IMHO this really is what's gonna make or break this product. Will the screens have good enough fidelity and not strain my eyes in such a way that I will want to wear the headset for my entire work day.
They absolutely won't be 100% correct (bread sizes e.g. are going to be an estimate), but unless it's a trick sandwich drenched in olive oil or with hollow cheese, they're probably going to be in the right ballpark.
I don't think it's outside the realm of possibility for an LLM to be in the right ballpark as well, but that doesn't seem to be where we're at now.