Flock Cameras Wrongly Tracked Me for Days over 'Stolen' Plates
A The Drive reporter was wrongly tracked for days by Flock's license plate recognition cameras after the system flagged his plates as stolen due to a data entry error. Despite the error eventually being cleared, the reporter remained in the system, leading to multiple police visits. The incident highlights concerns about the accuracy and oversight of automated surveillance technology.
Background
Flock Safety is a U.S. company that sells AI-powered license-plate reader cameras to police departments, homeowners' associations, and businesses. Its cameras capture and log every plate that passes, flagging vehicles linked to warrants or stolen plates. Critics argue the system enables mass surveillance with little oversight, and that false flags (like the one described here, where a legitimate plate is mistakenly tagged as stolen) can trigger police stops based on an automated alert rather than observed wrongdoing. The article's author was repeatedly pulled over over several days because Flock's database wrongly associated his plate number with a stolen vehicle — a scenario that highlights the practical risks of relying on fallible automated surveillance data for policing decisions.
Max Weinbach says he had early access to OpenAI's new model GPT-5.6 Sol, calling it his favorite model by far. He highlights that it never gives up and will keep reasoning until it's done. OpenAI announced that GPT-5.6 Sol, along with Terra and Luna, will launch publicly on Thursday, with preview access expanding globally now.
The US government ordered Anthropic to suspend access to its Fable 5 and Mythos 5 models for all customers, citing a potential jailbreak technique that involved asking the model to review a codebase for vulnerabilities—a capability Anthropic says is available in other public models. Access was abruptly cut off on June 12.
Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
Roman Storm warns that the legal theory in his case could set a precedent making open-source developers liable for how others use their code, potentially criminalizing the mere publication of privacy, messaging, or crypto tools. He notes that developer Michael Lewellen cannot publish lawful code due to prosecution fears, and argues this chilling effect extends beyond any single case.
Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.