YouTuber Tested Tesla on Self Driving Mode, Colliding with Street Pylons

A Tesla employee and YouTuber operating a vehicle with FSD Beta 10.10 engaged in a public road test in San Jose. During the test, the vehicle failed to avoid a stationary pylon, resulting in a collision. The employee was subsequently fired by Tesla, and his access to the FSD Beta program was revoked.

A YouTuber who was a Tesla’s employee conducted an on-road review of Tesla's Full Self Driving (FSD) Beta, showing its navigation in various road environments in San Jose and collision with a bollards during Autopilot, allegedly causing his dismissal from the company.

Source: AI Incident Database

Risk classification

  • Primary risk domain: 7 AI system safety, failures, & limitations
  • Primary risk subdomain: 7.3 Lack of capability or robustness

The incident was primarily caused by the FSD Beta system's lack of capability and robustness, specifically its failure to detect and avoid a stationary pylon on the road.

Additional risk subdomains

  • 6.5 Governance failure: Tesla's policy of discouraging public criticism of FSD Beta and firing an employee for posting safety flaws represents a governance failure that prompted federal regulatory scrutiny.

Causal factors

  • Entity: AI
  • Intent: Unintentional
  • Timing: Post-deployment

The collision occurred because the deployed Tesla FSD Beta AI system failed to detect and avoid a stationary pylon during a real-world drive.

EU AI Act risk tier

  • Risk tier: 2 High Risk

High Risk: The system is an AI used in critical infrastructure and safety-critical transport control (autonomous driving on public roads), which has significant implications for public safety.

AI system and alleged parties

  • AI system: Full Self Driving (FSD) Beta 10.10 (Tesla)
  • AI purpose: Autonomous Driving; Navigation Assistant
  • Behaviour type: Autonomous
  • Alleged developer: Tesla
  • Alleged deployer: AI Addict
  • Alleged harmed parties: San Jose public, John Bernal

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Negligible. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

  • Physical: direct Negligible, indirect Negligible
  • Infrastructure: direct Negligible, indirect Negligible
  • Property: direct Negligible, indirect Negligible
  • Financial: direct Negligible, indirect Negligible
  • Environmental: direct Negligible, indirect Negligible
  • Malicious content: direct Negligible, indirect Negligible
  • Differential treatment: direct Negligible, indirect Negligible
  • Civil rights: direct Negligible, indirect Negligible
  • Democracy: direct Negligible, indirect Negligible
  • Privacy: direct Negligible, indirect Negligible
  • Psychological: direct Negligible, indirect Negligible
  • Epistemic: direct Negligible, indirect Negligible
  • Child sexual exploitation and abuse: direct Negligible, indirect Negligible

People affected

  • Occurrences reported: 1
  • People reportedly harmed: 1
  • People reportedly exposed: 2

Potential causes

Management

  • Suppression of Criticism: Managers verbally dissuaded the employee from posting negative FSD content.
  • Retaliatory Firing: Firing an employee for sharing candid safety-related reviews of the software.
  • Lack of Written Guidance: Managers failed to put safety policies or warnings in writing for the tester.

Technology

  • Failure to Detect Pylons: FSD Beta failed to recognize and avoid physical pylons/bollards on the road.
  • Incorrect Path Planning: The system attempted to steer onto railroad tracks instead of the road.
  • Traffic Light Violation: The vehicle ran a red light during a rolling right-hand turn.

Data Inputs

  • Difficulty Identifying Scooters: Small objects like lime scooters are difficult for the system to identify.
  • Incorrect Map Navigation: The system used incorrect map data leading to routing errors during the test.

Human Factors

  • Delayed Driver Intervention: The driver failed to intervene in time to prevent hitting the pylon.
  • Unsafe Testing Practices: The driver used the beta software in complex environments for entertainment.

Process and Methods

  • Public Road Beta Testing: Deploying unfinished and un-debugged software on public roads for testing.
  • Unclear Social Media Policy: The company lacked clear written rules regarding employee public reviews.
  • Inadequate Feedback Loop: Relying on public YouTube videos rather than structured internal reporting.

Regulatory Environment

  • Chilling Effect of NDAs: NDAs discouraged testers from reporting safety complaints to regulators.
  • Lack of Active Oversight: Regulators initiated probes only after safety concerns became public.

Information quality

  • Classification confidence: High
  • Reason for confidence: The reports provide a first-hand video transcript of the incident, detailed journalistic coverage of the driver's employment termination, and statements from both the driver and Tesla's policies. The facts surrounding the collision and subsequent firing are clear and consistent across all sources.
  • Ambiguities identified: The exact cost of the vehicle and pylon damage is not specified, and Tesla did not provide a written statement explaining the official reason for the termination.
  • Alternative interpretations: Tesla managers verbally claimed the firing was due to a conflict of interest and selling merchandise, rather than solely a retaliation for posting negative FSD Beta content.

A consumer autonomous driving software failure resulted in a minor collision with a plastic pylon during a public road test. The incident represents a local traffic safety and corporate governance issue with negligible national security implications.

  • Overall national security impact: Negligible
  • Scope: Single nation
  • Primary target: No clear primary
  • Alleged perpetrator: Unknown

Threat characteristics

  • Imminence: Long-term. Represents an ongoing regulatory and safety concern regarding autonomous vehicles rather than an active national security crisis.
  • Autonomy: Human-supervised. The FSD Beta system operates autonomously but requires active human oversight and driver intervention to ensure safety.
  • Novelty: Established threat. Autonomous vehicle navigation failures and collisions with stationary road obstacles are well-documented issues.

Impact by dimension

  • Physical security: Negligible. Minor traffic incident involving a consumer vehicle hitting a plastic pylon on a public road, with no threat to critical infrastructure or national safety.
  • Information security: Negligible. No intelligence compromise, classified model theft, or systematic information warfare operations identified in the incident.
  • Sovereignty: Negligible. No impact on state authority, electoral systems, or core government decision-making processes.
  • Economic security: Negligible. Limited to an individual employment dispute and minor vehicle damage, with no impact on strategic industries or national economic security.
  • Societal stability: Negligible. No implications for mass surveillance, systemic civil liberties violations, or large-scale societal instability.
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