alertMar 29, 2026· 1 min read

A School District Tried to Help Train Waymos to Stop for School Buses. It Didn’t Work

The incidents in Austin raise questions about how self-driving cars “learn” and adapt to their surroundings.

waymo's self-driving vehicles in austin have been reported to illegally pass school buses while their stop signals are active. the austin independent school district (aisd) noted at least 19 incidents where waymo cars did not stop as required by law. despite software updates and a federal recall, the problem persisted, prompting further investigation by federal regulators.

for indie developers working on autonomous vehicle technology, this situation highlights the challenges of training AI systems to recognize and respond to critical safety signals. if your project involves similar technology, consider implementing rigorous testing protocols to ensure compliance with safety standards before deployment.

the ongoing investigation by the national transportation safety board (ntsb) may lead to insights on improving AI recognition of safety signals. developers should monitor these developments for potential lessons applicable to their own projects.

ensure your testing environments include diverse scenarios that mimic real-world conditions, particularly those involving emergency signals and road safety devices. this can help identify blind spots in your AI's learning process early on.

vibe check
waymo's self-driving cars keep blowing past school buses in austin which is honestly the most on-brand thing for a tech company that's raised $11 billion. the school district literally tried to help them train the model and it still didn't work, which should make you feel better about your own training runs