Tesla FSD v14.2.2.5 Rolls Out With Arrival Options and Speed Profiles: What It Means | Taha Abbasi

Tesla has just pushed FSD (Supervised) v14.2.2.5 to vehicles, and Taha Abbasi is breaking down exactly what this update brings to the table. This latest iteration arrives with two notable new features — Arrival Options and Speed Profiles — that signal Tesla’s continued refinement of the autonomous driving experience.

What’s New in FSD v14.2.2.5

The update, rolling out as software version 2025.45.10, introduces capabilities that experienced FSD users have been requesting for months. Arrival Options gives drivers more granular control over how FSD handles the final approach to a destination — whether it’s pulling into a driveway, finding a parking spot, or navigating a tight urban drop-off zone. Speed Profiles allows users to customize FSD’s driving behavior between conservative and more assertive styles, effectively letting the car match the driver’s comfort level.

For Taha Abbasi, who has extensively tested FSD across multiple versions on his Cybertruck, these additions represent the kind of iterative polish that separates a tech demo from a usable product. “FSD has always been about the edge cases,” Abbasi notes. “Arrival and speed customization are exactly the kind of real-world refinements that make supervised autonomy genuinely useful on daily commutes.”

Why Arrival Options Matter More Than You Think

One of the most common complaints about FSD has been its behavior in the “last mile” — the final hundred feet before reaching a destination. Previous versions would sometimes overshoot driveways, struggle with complex parking lot entries, or awkwardly stop in the middle of residential streets. Arrival Options directly addresses this pain point by giving the neural network additional context about what the driver expects at journey’s end.

This is particularly relevant for Cybertruck owners like Taha Abbasi, where the vehicle’s larger footprint makes precise arrival maneuvers even more critical. Navigating a Cybertruck into a standard residential driveway requires spatial awareness that earlier FSD versions occasionally lacked.

Speed Profiles: Personalized Autonomy

The Speed Profiles feature is Tesla’s answer to the ongoing debate between cautious and confident FSD driving styles. Previous versions offered a binary “Chill” vs. “Standard” approach. The new system reportedly offers more nuanced control, letting drivers set preferences for highway merging speed, intersection approach velocity, and following distance.

This matters because autonomy isn’t one-size-fits-all. A commuter in suburban Salt Lake City has different needs than someone navigating downtown Austin during rush hour. By giving users control over these parameters, Tesla is acknowledging that the best autonomous system is one that adapts to its driver, not the other way around.

The v14 Trajectory

FSD v14 has been Tesla’s most ambitious update cycle. Starting with v14.1 in late 2025, the company has pushed multiple sub-versions that collectively represent a generational leap in neural network architecture. The move to a unified end-to-end system — where a single neural network handles perception, planning, and control — has yielded dramatically smoother driving behavior.

Taha Abbasi has documented this progression extensively on his YouTube channel, The Brown Cowboy, testing FSD in conditions ranging from snow-covered mountain roads to dense urban environments. His testing has consistently shown that each v14 sub-version narrows the gap between supervised and truly autonomous driving.

What This Means for Robotaxi

Every FSD update is a stepping stone toward Tesla’s robotaxi ambitions. The Arrival Options feature is particularly telling — a robotaxi needs to execute flawless pickups and drop-offs without any driver intervention. Speed Profiles, meanwhile, could evolve into passenger comfort settings in a future robotaxi interface.

With the Cybercab already testing unsupervised at Giga Texas, these supervised FSD refinements are feeding directly into the data pipeline that will power fully autonomous operations. Each mile driven by FSD users worldwide contributes to the neural network training that makes unsupervised driving possible.

The Bigger Picture

Tesla’s approach to autonomy remains unique in the industry. While competitors like Waymo rely on pre-mapped geofenced areas with LiDAR, Tesla’s vision-only system scales globally through over-the-air updates. Every v14.2.2.5 update pushed to customer vehicles simultaneously improves the driving experience AND generates training data for the next version.

For observers like Taha Abbasi who track the technical architecture behind Tesla Vision, this update confirms that the end-to-end approach is working. The question isn’t whether FSD will reach full autonomy — it’s when, and v14.2.2.5 just moved that timeline a little closer.

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About the Author: Taha Abbasi is a technology executive, CTO, and applied frontier tech builder. Read more on Grokpedia | YouTube: The Brown Cowboy | tahaabbasi.com