You Can Now Personalize Your Tesla’s Parking with Grok
Tesla’s integration of the Grok AI assistant from xAI (now SpaceX) has revolutionized how drivers interact with their vehicle’s navigation systems. In a recent announcement by Elon Musk, Grok is set to become even smarter by allowing you to dictate exactly how you want to park when you reach your destination.
Introducing Natural Language Parking
With the recent 2025 Holiday Update, Tesla drivers can already use natural language commands to ask Grok to add waypoints, find specific destinations, or reroute their trip on the go. However, when it comes to parking, Tesla’s Autopark and FSD systems typically default to the most efficient maneuver and location.
Now, with the new feature, you will have the ability to tell Grok precisely how you want to park upon arrival. For instance, you can say commands like “Navigate to the grocery store and back into a parking spot” or “Take me home and pull forward into the driveway.”
According to a post on X, one of the limitations of FSD was the inability to find a parking spot near the door or turn at a specific block, to which Musk responded with a promising “Coming.”
Enhancing the Parking Experience
While it may seem like a small convenience, having verbal control over the final parking maneuver bridges the gap between autonomous driving and human preference. This feature will address scenarios where Autopark’s decision may not align with user preferences, such as tight parking spots against a wall or garage setups for home charging.
By empowering Grok to understand and execute specific parking orientations as per your instructions, Tesla aims to provide a more personalized and autonomous driving experience. This brings FSD closer to being a personalized chauffeur rather than a rigid autonomous driver.
Merging AGI and FSD Technologies
This upcoming feature underscores the significance of integrating Grok into Tesla’s infotainment system. Grok acts as a communication bridge, enabling passengers to communicate specific instructions to the neural net without the need for manual intervention.
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