Do you have a dumb question that you're kind of embarrassed to ask in the main thread? Is there something you're just not sure about?
This is your opportunity to ask questions. No question too simple or too silly.
Culture war topics are accepted, and proposals for a better intro post are appreciated.

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Notes -
You really can't conclude anything from trying the free tiers. The difference between Sonnet and Fable is like the difference between a random Baen milSF novel and Ender's Game or Starship Troopers.
Never has the saying "you get what you pay for" been more true than with AI.
If someone's willing to run it, here are the first two responses I gave ChatGPT (Claude was similar):
(It gave a few suggestions, leaning towards printing a clamp that attaches to the edge of the sink)
If you can get a 3D model that:
in less than 30 minutes without excessive help, I'd count that as a win. For bonus points, it would:
If it works, then I'd also believe in "Free tier as anti-advertisement". Trying on the free tier certainly made me less likely to pay for the full version here.
I will caveat that this probably isn't a great use case for either 3d printing (repeated torque and temperature flux) or AI (if you can make these measurements, you can build something in TinkerCAD in seconds). If you're genuinely fighting it, the right answer is a QuikClamp and either a oversized hose clamp (if the hose is fairly heavy-duty) or some hair scrunchies (if it isn't).
That said, Claude Opus 5 gave not-crazy answers. I'm a little disappointed that it gave the recommendation to include a zip-tie slot and then didn't actually do it, and trying to get it to add one in ended up taking much longer than just doing an edit in the slicer and was overengineered in some bad ways. But it's at least intern-grade results rather than useless, and for completely non-engineer people it's probably better than they could do in the 15 minutes it took me to boot up my laptop, prompt, and validate in my slicer.
((Counterpoint, though: Grok's first attempt was awful even on Expert; LLMs do poorly on spatial reasoning problems like this.))
I'm not. I used a solved problem as a test for the models.
That's substantially better than the sixth iteration in Sonnet or the 20th in ChatGPT (it was faster, but not any better). It put all the thicknesses in the right directions, connected all the pieces at the correct points, had everything facing in the correct directions, and even had decent choices for the corners.
I guess there is something to the big models being step-changes over small ones.
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