Particle.news
Download on the App Store

Nvidia Robotics Director Calls Tesla FSD v14 a ‘Physical Turing Test’ Pass as v14.2.2.1 Rolls Out

The assessment is based on limited firsthand use rather than broad independent validation.

Overview

  • Jim Fan, a senior robotics leader at Nvidia, said after using Tesla’s supervised FSD v14 he could scarcely tell whether a human or a neural network was driving, and Elon Musk publicly agreed.
  • Tesla followed the v14.2.2 release with a rapid iterative update to v14.2.2.1 during the Christmas period, signaling an accelerated deployment cadence.
  • A longtime Tesla tester using the handle @BLKMDL3 reported that v14.2.2.1 handled rainy Los Angeles roads with smooth steering, confident lane changes, accurate lane-keeping on faded markings, and notably precise parking.
  • Tesla’s v14.2.2 release notes cite an upgraded visual encoder neural network, higher‑resolution feature detection, customizable arrival modes, improved handling of emergency vehicles, and vision‑based rerouting around congestion.
  • The builds described are the supervised versions available to customers, and the reported performance gains come from Tesla’s notes and early user tests rather than broad third‑party or regulatory evaluations.