Tesla FSD 14.3.2 widens, unifies models

Tesla is converging its autonomy stack instead of treating parking, summon, and driving as separate systems, which is the right direction if it wants faster iteration and fewer behavior mismatches. The new feedback menu matters more than it sounds like it does: structured human takeover reasons are the kind of training signal that can compound quickly at fleet scale.

• –Unifying the model should reduce feature drift between parking-lot behavior and on-road driving, where separate stacks often diverge in edge cases
• –The intervention-reason UI is a data-quality play, not a UX flourish; better labels mean better supervised learning and evals
• –If the rollout is truly widening, Tesla is signaling enough confidence in the v14 architecture to push it beyond a small test cohort
• –The real test is whether this consolidation improves reliability without introducing more regressions in lane changes, summons, or takeover behavior