The Plateau State Police Command has recorded major breakthroughs in its ongoing crackdown on crime, with the arrest of multiple suspects linked to illegal arms possession, cult violence, and banditry across the state.

Briefing journalists on May 1, 2026, at the Command Headquarters in Jos, Commissioner of Police, CP Bassey Ewah, disclosed that operatives acting on credible intelligence arrested a 31-year-old suspect, David Ponnan, in the early hours of April 29 at JUTH, Lamingo area. Items recovered from him include a locally made double-barrel pistol, a pump-action cartridge, and a human skull. The suspect reportedly claimed he took the firearm from a local vigilante operative and converted it for personal use. Police say investigations are ongoing to determine the full circumstances surrounding the disturbing discovery.

In a separate operation, nine suspects were arrested on April 30 by officers of the Nassarawa Gwong Division over alleged involvement in criminal conspiracy, assault, and cult-related activities in Jos North Local Government Area. The suspects, all residents of Bulbula and Dilimi communities, were accused of attacking several individuals with dangerous weapons, leaving one victim with serious injuries. Preliminary investigations revealed that the suspects belong to rival cult groups known for terrorizing residents in the Dilimi axis.

Meanwhile, the Command also confirmed the arrest of two suspects, Musa Adamu and Mohammed Abubakar, in Gudus village of Wase LGA for suspected involvement in banditry. The duo was intercepted along a route commonly used by bandits to launch attacks on nearby communities. During interrogation, they allegedly confessed to supplying cash and materials to bandits in their hideouts. Recovered items include cigarette packs, ₦50,000 cash, Airtel recharge cards, and substances linked to illicit drug use.

CP Ewah assured residents that all suspects remain in custody and will be prosecuted upon the conclusion of investigations. He reiterated the Command’s commitment to tackling crime and urged the public to continue providing useful information to aid security operations.

Uber has a long-term ambition that goes well beyond shuttling passengers: the company eventually wants to outfit its human drivers’ cars with sensors to soak up real-world data for autonomous vehicle (AV) companies — and potentially other companies training AI models on physical-world scenarios.

Praveen Neppalli Naga, Uber’s chief technology officer, revealed the plan in an interview at TechCrunch’s StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.

“That is the direction we want to go eventually,” Naga said of equipping human drivers’ vehicles. “But first we need to get the understanding of the sensor kits and how they all work. There are some regulations — we have to make sure every state has [clarity on] what sensors mean, and what sharing it means.”

For now, AV Labs relies on a small, dedicated fleet of sensor-equipped cars that Uber operates itself, separate from its driver network. But the ambition is clearly much larger. Uber has millions of drivers globally, and if even a fraction of those cars could be transformed into rolling data-collection platforms, the scale of what Uber could offer the AV industry would dwarf what any individual AV company could assemble on its own.

The insight driving the program, Naga said, is that the limiting factor for AV development is no longer the underlying technology. “The bottleneck is data,” he said. “[Companies like Waymo] need to go around and collect the data, collect different scenarios. You may be able to say: in San Francisco, ‘At this school intersection, I want some data at this time of day so I can train my models.’ The problem for all these companies is access to that data, because they don’t have the capital to deploy the cars and go collect all this information.”

Becoming the data layer for the entire AV ecosystem is a pretty smart play, particularly considering Uber years ago abandoned its own ambitions to build self-driving cars (a move that co-founder Travis Kalanick has publicly lamented as a big mistake). Indeed, many industry observers have wondered if, without its own self-driving cars, Uber might one day be rendered irrelevant as AVs increasingly spring up around the globe.

The company currently has partnerships with 25 AV companies — including Wayve, which operates in London — and is building what Naga described as an “AV cloud”: a library of labeled sensor data that partner companies can query and use to train their models. Partners, which Uber plans to more aggressively invest in directly, can also use the system to run their trained models in “shadow mode” against real Uber trips, simulating how an AV would have performed without actually putting one on the road.

“Our goal is not to make money out of this data,” Naga said. “We want to democratize it.”

Given the obvious commercial value of what Uber is building, that positioning may not last long. The company has already made equity investments in numerous AV players, and its ability to offer proprietary training data at scale could give it significant leverage over a sector that right now depends on Uber’s ride marketplace to reach customers.