u/Crazy-Soup3377

Nearly a decade in development, the long-promised ability to fall asleep in a Tesla and wake up at your destination appears to be taking a more literal form than many expected.
According to a source familiar with internal testing, an undocumented FSD driving profile labeled NIGHTmode+ has been appearing in recent v15 test builds. The profile is not listed in any public release notes and is currently restricted to a small group of engineering and Cybercab validation vehicles.
Early feedback from those tests has been described as “surprisingly positive.”
Rather than treating driver inattention as a problem to be engineered out, the new profile appears to lean into it. When activated, NIGHTmode+ dims cabin lighting, softens audio, reduces non-critical alerts, and adjusts climate and display behavior to create a more restful environment. The intent, according to the source, is to make the cabin more conducive to the driver actually nodding off once the system has the vehicle under control.
One person briefed on the project framed it this way: the large number of drivers already zoning out or falling asleep on FSD has been read internally as a market signal of trust. Instead of fighting the behavior, Tesla is optimizing for it.
The timing lines up with the broader v15 schedule, currently expected in late 2026 or early 2027. Positive early results on Cybercab test platforms are said to have accelerated interest in bringing a version of the profile into the wider fleet.
“A promise made, a promise delivered,” the source said, only half-joking. “Just not in the order most people assumed.”
Tesla has not commented on the existence of NIGHTmode+.

During today’s Tesla Q2 2026 earnings call, Elon Musk devoted a notable portion of the FSD discussion to a new customer-installable hardware solution aimed at reducing residual brake-stabbing events.
Elon:
“We’ve been studying the remaining unnecessary braking cases very carefully. After enough data, it became clear what was happening. The car has become sufficiently capable that it is now driving like a human — and specifically, like a human who needs glasses.
The hesitation, the over-corrections, the occasional hard brake for something that isn’t actually a threat — these are the classic behaviors of uncorrected refractive error. Once the system reached a certain level of competence, it started exhibiting the same visual limitations humans have had for centuries.
So we applied the same solution humans have used for hundreds of years. We’re introducing Autonomous Eye Glasses: a precision optical correction system that mounts over the existing camera suite.
Because no two vehicles are identical — manufacturing variation is real, camera alignment varies, panel gaps exist — each set of glasses is individually prescribed. You complete a short calibration drive, the car measures its own camera geometry, and we generate a custom lens set for that specific vehicle. No two pairs are exactly the same. It’s personalized optometry for a personalized car.
This is not a software limitation in the traditional sense. The neural net is doing its best with the photons it receives. We’re simply improving the quality of those photons at the source, the same way glasses improve human vision.
Sometimes the most advanced path forward is to look backward. A human problem requires a human solution.”
Analyst follow-up: “Elon, does this suggest the vision-only approach still has fundamental optical constraints?”
Elon:
“It suggests that even an excellent vision system can benefit from optical correction, just as human eyes do. We’re not changing the architecture. We’re making the current architecture work better by applying proven principles. This is classic first-principles thinking.”