Would you rather the car be too cautious or too aggressive?
Anyway, here's my observations, having been a near-constant FSDb user since late 2021. You install a new version of FSDb and it's super cautious at first. Slowly over the course of a few weeks, it gets less cautious. I don't know why or how this happens, but it definitely does happen, others have mentioned it as well here for years.
Another observation that gives me a lot of hope: I have been on 11.3.6 since it released. For most of those weeks, it was incorrectly stopping at three different intersections in my neighborhood in Baltimore. Like, it would just stop in the middle of the road, in three different spots, very consistently, as if there was a phantom stop sign that only the car could see (very likely bad map data). Despite not getting new map data and despite not getting new FSDb software, the car magically stopped stopping in these three intersections last week and now drives on those three roads perfectly. Presumably some sort of mapping data on the server side has changed here, but can't 100% speak to what changed. All I know is, every single time it stopped for no reason, I reported this as a bug.
The point is: the more you use FSDb, and the more you intervene during your specific commute, the better feedback Tesla gets about your specific route and, over the course of years, your commute will get better and better, but ONLY if you keep using it and reporting the bugs. If you give up, call it junk, say it isn't raodworthy, well, you have no one to blame other than yourself when your commute's route is still buggy in a year.
The folks who post to Youtube, you better believe they report bugs constantly. which explains why their drives look so good.
Would it be great if everything worked perfect out of the box? Of course! But we're on the bleeding edge of a technology no company has been able to truly solve yet, so yeah, you're a beta tester and the more you test, the better it will get. To me, the opportunit to help train the system is easily worth the $200/mo cost.