Tesla’s fully self-driving suite, currently in version 13.2.9, is the company’s latest stab wound that makes cars that drive cars without sweating bullets in the driver’s seat. It’s FSD, which is still “directed.” This means you have to run your hands and look to the path, but the system is doing heavy lifting, including the stage, braking, acceleration, and the decision to headspin a human driver.
https://www.youtube.com/watch?v=qyq4mhbp4o0
So, how is it pulling this off? FSD 13.2.9 is powered by Tesla’s neural network and runs on the company’s custom hardware 3 (and new hardware 4) chip. Unlike the older versions that lean towards hardcoded rules, this iteration is all about end-to-end machine learning. It’s like the car’s brain is overstated by millions of driving scenarios and learning to predict and respond in real time. This system uses radar or rider (as Elon Musk says Vision is King) and supplies 360-degree visuals to the neural net, mapping the world, finding obstacles, and planning plans.
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Hollywood Hills are no joke. The narrow roads, sharp bends, and the driveways that spit out cars like guests at a surprise party. In the video, Tesla slides over this and auditiones for a fast, intense cameo. The trick in FSD 13.2.9 is its improved spatial awareness. Neural networks don’t just look at roads. It understands the context, curves, parked cars, approaching traffic, even the atmosphere of a residential area. It predicts where that delivery van will come out or whether pedestrians are about to jaywalk. The car’s pass plan is silky, embracing the curve without twitching the wheels, making decisions faster than saying “cut to commercials.”
The actual test will then be performed. It’s Downtown LA during rush hour. If you’ve ever driven there, you know it’s a gladiator’s setting, including gladiator weaving, pedestrians ignoring crosswalks, and traffic lights that feel like a suggestion. This video shows Tesla fused to the highway, dodging offensive drivers and navigating stop-and-go traffic without sweating. This is where FSD 13.2.9 bends city chops.
Secret sauce? Tesla’s “vector space” modeling. Besides looking at the objects, the system builds all 3D maps, including cars, bicycles, traffic lights, and even construction cones, and predicts the trajectory. Just choosing a podcast is like a car playing 4D chess.
The clip handles the lane changes with human-like finesse, sending signals early, and slips into the gap without anyone cutting. Even changes in traffic lights are expected, and slows down smoothly rather than hitting the brakes. This certainly is proof that FSD is heading towards “unsurveillanced” territory, and you can actually kick back and have the car do it all.
