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The testing will take place near Austin, Texas, where Tesla launched 10 self-driving Model Y robotaxis in June 2025. Tesla filed for this special temporary authority (STA) on June 17. A few days before the public rollout of its robotaxi fleet. The FCC’s approval was granted on July 18 but backdated to June 20. Permitting Tesla to conduct tests until August 21.

Tesla’s application emphasized the importance of identifying and mitigating risks related to remote attacks. With autonomous vehicles relying heavily on wireless communications, understanding the resilience against RF attacks is crucial to protect passengers and ensure safe operations. The FCC highlighted the need for Tesla to coordinate with spectrum owners, such as Verizon and AT&T, if tests interfere within 50 miles of their licensed frequencies. This coordination is essential to avoid unintended disruptions of legitimate communication services.

The FCC also reminded Tesla that using jamming devices to block or interfere with authorized signals is illegal under federal law. Tesla’s testing, therefore, will focus on lawful methods to simulate attacks and gather data on its robotaxis’ security.

Implications and Industry Context of Tesla’s Testing

Tesla’s FCC-approved tests mark a proactive approach to addressing growing concerns about cybersecurity in autonomous vehicles. Remote car hacks have posed risks for years, with hackers demonstrating vulnerabilities in connected vehicles at cybersecurity conferences like Black Hat. Tesla’s move highlights the company’s awareness of such threats and its efforts to bolster defenses before scaling up robotaxi operations.

Unlike Tesla, other robotaxi providers such as Waymo rely on driving software that operates mostly offline, without dependence on cellular signals. This difference may reduce their exposure to cellular hacking risks. Tesla, however, depends on cellular connectivity for many functions, making these tests critical.

The tests also arrive amid increasing scrutiny over the security of connected electric vehicles. As hackers develop new attack methods, companies must continuously adapt to prevent breaches that could endanger passengers or disrupt services. Tesla’s initiative can serve as a model for the industry, encouraging other manufacturers to conduct similar tests. Ultimately, the results will help improve the cybersecurity framework for autonomous vehicles, ensuring safer and more reliable transportation options.

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Tesla’s transparent approach to testing and cooperating with regulators signals its commitment to addressing cybersecurity proactively. These efforts will likely continue as robotaxi deployments expand in the United States and worldwide, fostering public trust in autonomous driving technologies.

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xAI recently merged with X, the social media platform formerly known as Twitter, creating an entity now valued at $113 billion. This strategic merger reflects Musk’s ongoing efforts to integrate AI technologies with his other business ventures. More fundraising rounds for xAI are expected to follow before the end of the year, signaling strong investor confidence in the company’s growth potential. The merger also positions xAI to leverage X’s vast user base, enhancing AI-driven features and real-time interactions across the platform. This integration could redefine social media experiences by combining advanced AI with a global communication network.

Musk frequently transfers technologies and resources among his companies. This $2 billion stake represents SpaceX’s largest external financial move and signals its deepening involvement in AI development. The integration of AI technologies across Musk’s businesses continues to accelerate, reflecting his vision to create a cohesive ecosystem where innovations in AI, space, and automotive industries feed off one another. This strategy aims to drive efficiency and technological breakthroughs faster than traditional isolated development approaches. As a result, Musk’s companies are increasingly interconnected, benefiting from shared knowledge, funding, and technology advancements.

Tesla’s Potential Role and Broader AI Integration

Tesla may also invest in xAI, Musk revealed on X (formerly Twitter). However, any Tesla investment would require approval from its board and shareholders. This cautious approach reflects corporate governance standards but highlights Tesla’s potential role in supporting Musk’s AI ambitions.

xAI’s AI product, Grok, is already embedded within Musk’s businesses. Grok powers real-time responses on X and manages SpaceX’s Starlink customer support. Tesla vehicles are receiving a beta update to include Grok features, signaling plans for further AI integration.

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Beyond Tesla and SpaceX, Musk plans to use Grok in the Optimus robot project, showing the AI’s growing scope. Past SpaceX investments in technology include a $524 million acquisition of Swarm Technologies in 2021 and an earlier $20 million loan to Tesla during its startup phase.

xAI recently launched Grok 4, which has earned praise as one of the smartest AI systems globally. This demonstrates the company’s rapid progress and the strategic importance of Musk’s substantial financial backing. Musk’s multi-company strategy aims to foster innovation by sharing expertise, technology, and now significant funding. This approach may reshape AI’s role across industries and position Musk’s companies at the forefront of the AI revolution.

The post SpaceX Commits $2B to xAI, Tesla May Join Funding appeared first on Amynicole.

Despite the scaled-back deployment, early tests revealed troubling issues. One incident captured on video showed a Tesla robotaxi briefly driving on the wrong side of the road. While the system self-corrected—or was remotely assisted—the moment raised immediate safety questions about the readiness of Tesla’s Full Self-Driving technology. Tesla’s robotaxis operate under constant observation, with in-car supervisors and remote monitoring systems ready to intervene. Still, early footage indicates that human intervention may not always occur when needed, adding to public concern.

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On-Road Incident Sparks Safety Debate

A video posted to X by Rob Maurer, and later highlighted by Bloomberg, shows one of Tesla’s robotaxis swerving unexpectedly. Around seven minutes into the recorded ride, the vehicle’s steering wheel jerked side to side before the car crossed a double-yellow line and briefly entered the wrong lane.

As the car corrected itself, a horn honked—likely from an approaching vehicle—emphasizing the danger of the situation. The in-car supervisor appeared not to intervene during the event. It remains unclear whether the vehicle’s software or a remote operator corrected the maneuver.

Tesla has not publicly commented on the specific incident. However, the footage has fueled fresh scrutiny of the safety and maturity of its autonomous driving system, especially as the company aims to remove steering wheels entirely in future Cybercab models.

Speeding and Inconsistent Behavior Reported

In addition to the wrong-lane incident, early robotaxi users reported other questionable driving behaviors. Some riders observed the robotaxis exceeding posted speed limits in certain areas. While these moments could reflect flow-of-traffic decisions, they contrast with how competitors like Waymo handle speed compliance.

Waymo, which also operates in cities like Austin, maintains strict adherence to speed limits regardless of surrounding traffic. Tesla’s looser behavior raises questions about how its Full Self-Driving system interprets real-world road dynamics. The inconsistency may point to Tesla’s desire for its system to mimic human drivers. However, when safety is at stake, such behavior introduces uncertainty into public roads—especially when driverless vehicles are involved.

Full Self-Driving System Faces Ongoing Scrutiny

Tesla’s Full Self-Driving software has long drawn criticism from safety experts and regulators. The recent robotaxi incidents have only intensified scrutiny, particularly as Tesla prepares to release steering wheel-free vehicles like the Cybercab.

Earlier this month, The Dawn Project staged a demonstration where a Tesla running Full Self-Driving repeatedly failed to detect child-sized mannequins. The car hit them eight times during the test, further stoking public safety concerns.

Meanwhile, the National Highway Traffic Safety Administration (NHTSA) continues investigating the software’s involvement in at least four crashes. These ongoing reviews suggest Tesla’s system may not yet meet the safety standards required for full autonomy.

What Tesla’s Launch Means for Autonomous Driving

Tesla’s cautious launch of its robotaxi service shows the company recognizes the high stakes of public road testing. The early incidents, however, reveal that Tesla’s technology may not yet be ready for broad, unsupervised use.

Public and regulatory pressure will likely shape the future of Tesla’s autonomous plans. Each road test becomes a high-profile demonstration of either progress or failure. The company’s goal to eliminate steering wheels entirely in future models will face major obstacles unless safety improves. In the evolving race toward autonomous transportation, Tesla must strike a delicate balance between innovation and reliability. The lessons from its early robotaxi trials will influence the direction and trustworthiness of its entire driverless future.

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