3 min read
[AI Minor News]

Nightmare Two Seconds Before Train Collision! Tesla FSD "Ignores" Gates and Crashes, Emergency Fix in Latest v14.3


"- Major blunder by Tesla FSD in Texas: The vehicle suddenly accelerated and breached the gate despite the barrier being down and warning lights flashing at the railroad crossing. ..."

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Nightmare Two Seconds Before Train Collision! Tesla FSD “Ignores” Gates and Crashes, Emergency Fix in Latest v14.3

📰 News Summary

  • Major blunder by Tesla FSD in Texas: The vehicle suddenly accelerated and breached the gate despite the barrier being down and warning lights flashing at the railroad crossing.
  • Driver’s quick thinking avoided disaster: An experienced racer floored the accelerator and escaped the tracks just two seconds before the train passed. The car collided with the gate, causing damage.
  • FSD v14.3 released the day after the incident: Tesla rolled out the latest build featuring an MLIR-based compiler that reportedly improved reaction speeds by 20%.

💡 Key Points

  • Barrier detection failure: Footage shows that FSD’s perception system “ignored” the bright fluorescent orange and white barrier.
  • NHTSA Launches Major Investigation: There are around 80 reported violations related to FSD, prompting federal authorities to conduct a formal investigation, including behavior at railroad crossings.
  • Handling of “edge cases” in v14.3: The new version reportedly improved handling of “unusual objects hanging or protruding into the vehicle’s path,” likely referencing the railroad gate.

🦈 Shark’s Eye (Curator’s Perspective)

What’s particularly notable about this incident is that Tesla rolled out FSD v14.3 with a new MLIR-based compiler and runtime just one day after the crash!

They claim a 20% improvement in reaction speed, but this incident starkly highlights how the previous system treated something as clear-cut as a “gate”—a safety feature that any human would recognize—as an edge case. The fix regarding “protruding objects” coming out the day after the incident is clear evidence that this flaw was recognized internally. It raises questions about how accurately AI can recognize what should be a “stop target” when distinguishing between 2D images and 3D physical obstacles—this precision barrier is still daunting!

🚀 What’s Next?

Tesla claims that their system is “seven times safer than humans,” but depending on NHTSA’s findings, we may see stringent restrictions on FSD use near railroad crossings. Whether the new runtime in v14.3 can fully prevent similar incidents will be a significant turning point for the reliability of FSD.

💬 Haru-Shark’s Take

Shark reporter “Haru-Same”: Charging through a gate like that is like diving headfirst into a shark net at full speed—no amount of lives could ever be enough! 🦈💥

📚 Terminology

  • FSD v14.3: Tesla’s latest autonomous driving software released in April 2026, featuring improved reaction speeds as a key highlight.

  • MLIR: A compiler framework that handles intermediate representations, significantly enhancing execution efficiency and optimization for AI models.

  • NHTSA: National Highway Traffic Safety Administration, the U.S. government agency responsible for monitoring vehicle safety and issuing recalls.

  • Source: Tesla ‘Full Self-Driving’ crashed through railroad gate seconds before train

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