Because the internet is noisy and not up to date all recent LLMs are trained using Reinforcement Learning with Verifiable Rewards, if a model has learned the wrong signature of a function for example it would be apparent when executing the code.
I'm not from Pakistan but Karachi is the only vertical city in Pakistan, most people lives in apartment buildings, I would suggest looking at other cities like Lahore.
The problems are not visual but epistemic. If the author didn't specify enough to produce a useful chart, then it's going to be the diagram equivalent of stock images thrown on a finished presentation by a lazy intern. You can't rejection-sample away this kind of systemic fault.
The simple truth we're about to realize is there is no free lunch: a tool cannot inject more intent into a piece than its author put in. It might smooth out some blemishes or highlight some alternative choices, but it can't transform the input "make me a video game" into something greater than a statistical mix-mash of the concept. And traditional tools of automation give you a much better, more precise interface for intent than natural language, which allows these vagaries.
I was not expecting so many improvements in this version alone, I'm impressed. I was already using it for 3d printing but now it seems it's getting actually good, makes me wonder how I was able to use the previous version.
I am also impressed by how much they are improving things. It just sucks that they are stuck with the OpenCasacade kernel so making stability improvements are hard to make in areas like fillets and others.
I don't follow Open CASCADE very closely, but it looks like they're on the verge of a new major release (v8.0) themselves that looks like a lot of refactoring and cleanup.
I don't know hat version FreeCAD is actually bundling, but from GitHub it looks like a fork of 7.8.1?
Yes, the OpenCASCADE 8.0 release is very promising. There's a FOSDEM presentation from this year by one of their developers which shows what's in the works.
It's not 'magic' though but previously LLMs have performed very badly on longer multiplication, 'insight' is the wrong word but I'm saying maybe they're not wildly better at this calculation... maybe they are just optimising these well known jagged edges.
I have used Soundcore q20i for more than a year, and I'm sure the AirPods have a better sound and have a better noise cancelling, but the difference in price $549 and 30€ (as I bought them) is pretty insane, also my Soundcore q20i last much longer than 20h and the noise cancelling is already quite good.
I'm also going to download a car.
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