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Tesla Cybercab fleet in Austin, Texas alongside FSD v15 neural network visualization and NHTSA investigation graphic representing the robotaxi expansion and regulatory scrutiny
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Tesla Signals 24/7 Robotaxi Operations | FSD v15 Progresses

Tesla AI VP Ashok Elluswamy projected 24-hour robotaxi availability within a month as FSD v15 merges, while the NHTSA opened an audit query into Cybercab self-certification following the Austin launch.

||6 min read

Tesla paid autonomous ride-hailing network could transition from its current daytime schedule to 24-hour continuous operations within the next month. The projection came directly from Ashok Elluswamy, Tesla Vice President of AI, following the public debut of the custom Cybercab fleet in Austin, Texas. The announcement highlights Tesla push to scale its autonomous network despite immediate regulatory headwinds.

Replying on X, Elluswamy noted that round-the-clock availability should launch in a month or so once the next architecture module in the Full Self-Driving (FSD) v15 roadmap merges into the primary software stack. The current commercial Robotaxi network runs seven days a week between 6:00 AM and 10:00 PM across six major U.S. cities: Austin, Dallas, and Houston in Texas, and Miami, Orlando, and Tampa in Florida. Tesla confirmed its unsupervised test and commercial fleet has officially logged over 1 million autonomous miles, up from 380,000 miles reported during Q2 earnings.

What 24/7 Availability Means for Tesla | Camera-Only Night Driving

Operating all-night routes tests Tesla vision-only neural network approach in low-light and high-glare environments. Competitors like Waymo rely heavily on LiDAR and radar sensors, whereas Tesla relies entirely on optical cameras. Scaling overnight rides validates whether camera algorithms can maintain safety baselines without active light sensors, a question that has been central to the debate over Tesla approach to autonomy since the company abandoned radar in favor of vision-only in 2022.

For ride-hailing networks, downtime represents lost yield. Moving to a 24/7 schedule allows Tesla to maximize vehicle utilization by handling late-night entertainment trips, airport transfers, and overnight logistics. The company has already begun deploying specialized automated Supercharging infrastructure designed to recharge autonomous fleets during low-demand hours. The unit economics of a robotaxi that operates 24 hours a day versus 16 hours a day are dramatically different, and the 24/7 target suggests Tesla believes its vehicles can now sustain the higher utilization rate without unacceptable degradation or downtime.

FSD v15 | The 10x Parameter Jump

According to Tesla, FSD v15 represents an architectural overhaul. The new network expands capacity from approximately 1 billion parameters up to approximately 10 billion parameters, a tenfold increase that reflects the growing complexity of the driving scenarios the network must handle. Elluswamy revealed during Q2 updates that v15 consists of seven distinct improvement tracks, with roughly 40 percent already integrated into the production stack. Merging the next track is expected to deliver the confidence thresholds needed to run driverless cars around the clock without human monitoring.

The parameter expansion is not merely about scale. It reflects a fundamental shift in how Tesla neural network processes driving environments. The 10 billion parameter model can encode more edge cases, more weather conditions, and more regional driving patterns than its predecessor, theoretically reducing the likelihood of encountering a scenario the network has not been trained on. The expansion also mirrors broader trends in the AI industry toward larger, more capable foundation models, though Tesla must balance capability with the real-time inference latency demands of a vehicle traveling at highway speeds.

Regulatory Hurdles | NHTSA Cybercab Audit

The expansion timeline coincides with federal scrutiny. The National Highway Traffic Safety Administration (NHTSA) opened an Audit Query (AQ) following the September 3 public rollout of 45 pedal-less, steering-wheel-free Cybercabs in Austin. The investigation targets Tesla self-certification process verifying compliance with Federal Motor Vehicle Safety Standards (FMVSS). The Cybercab units completely lack manual controls, including brake pedals, acceleration pedals, steering wheels, and side mirrors, raising fundamental questions about whether they can be certified under existing regulations designed for human-driven vehicles.

NHTSA Administrator Jonathan Morrison stated that while the agency supports automated vehicle innovation, it must ensure strict adherence to safety mandates. TSLA shares faced downward pressure following news of the federal audit query. The regulatory tension is familiar to anyone following the broader pattern of technology companies pushing against established regulatory frameworks, where innovation and compliance often operate on conflicting timelines.

The audit query does not necessarily mean the Cybercab will be pulled from service. It is an information-gathering step that could lead to a formal investigation, a negotiated certification path, or a requirement to add manual controls. The outcome will depend on whether Tesla can demonstrate that the absence of manual controls is compensated by the autonomous system reliability, a standard that no company has yet met to NHTSA satisfaction for a production vehicle without any manual backup.

For Tesla, the path to 24/7 robotaxi operations represents the culmination of years of development work on the FSD platform. The 10x parameter expansion in v15, the million-mile milestone, and the commercial network expansion across six cities all point to a system that is approaching the reliability threshold required for unsupervised round-the-clock operation. The NHTSA audit query introduces regulatory uncertainty, but it does not necessarily derail the timeline. The agency is gathering information, not issuing a stop order, and Tesla has navigated similar inquiries before while continuing to deploy and expand its autonomous capabilities.

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Written by

Jackson Yonwang

Editor-in-Chief