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Uber patent filing reveals AI project that could deny drunks of a ride

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A recently-published patent application from Uber has revealed that the ride-sharing company is planning on using artificial intelligence to identify a passenger’s behavioral state, including being drunk, before being picked up. With this technology, Uber is hoping to better tailor its ride-sharing options for its ever-growing user base.

The patent, titled “Predicting user state using machine learning” describes a system that uses machine learning to study the usual behavior of Uber users. These behaviors include several factors, including location, the precision of users’ clicks on the app’s buttons, spelling accuracy when communicating with drivers, average walking speed, and how long it takes passengers to request for a ride. The usual time when users hail an Uber will also be included in the system.

According to Uber’s patent application:

“The user state model is trained to predict user state using past features in conjunction with previously-identified unusual user states. That is, the user state prediction module detects whether the user has input data in a way that is unusual for that particular user and/or in a way differing from normal user behavior that is similar to the differences for other users having unusual behavior.”

Thus, if an intoxicated user hails a ride while walking and typing clumsily, the ride-hailing company’s AI system would be able to make an assumption that the user is less than sober. Once the system detects that a user is likely drunk, it would “alter the parameters” of its service in order to match the passenger with drivers who have relevant experience and training. Based on the passenger’s state, Uber might also restrict a drunk user’s access to its shared ride services.

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“the user may not be matched with any provider, or limited to providers with experience or training with users having an unusual state” reveals the patent application.

 

The patent is authored by members of Uber’s Trust & Safety Team, who are tasked with making the company’s service and products safer. Overall, the system stands to benefit both passengers and drivers, considering that intoxication has proven to be a problem for Uber so far. According to an investigation from CNN, at least 103 Uber drivers have been accused of abusing intoxicated passengers over the past four years. Uber drivers have also reported instances where they got assaulted by passengers who were drunk.

The use of AI systems is steadily gaining ground. In China alone, SenseTime, a company involved in mainstream smartphone applications such as AR filters, has been working with the Chinese government in developing AI solutions that are capable of matching footage from crime scenes to criminal database photos. After a funding round led by Chinese e-commerce giant Alibaba earlier this year, SenseTime’s total valuation rose to over $4.5 billion, making it one of the most valuable AI startups in the industry.

In the United States, AI is starting to get embraced by the US military, with self-driving vehicles and AI-powered weapons being in development. Just recently, Google saw protests from staff over the company’s participation in the Pentagon’s artificial intelligence initiative, Project Maven. According to reports, Google’s AI technology has been used to improve military drones’ image-processing capabilities, which has been helping the military fight threats in several regions such as the Middle East. Google, for its part, stated that its work with the Pentagon has been “mundane,” and that the technology it provided was limited only to non-offensive uses.  

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Model Y on FSD saves couple after encountering King of edge cases

Experts have noted that if confirmed, this could be the world’s first recorded meteorite collision involving a Tesla.

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Credit: @10NewsAU/YouTube

A South Australian Tesla driver is thanking his Model Y’s Full Self-Driving system after a mysterious object, possibly a meteorite, slammed into his car’s windshield while it had FSD engaged. 

The impact sent hot glass fragments flying through the cabin as the vehicle continued driving without human input through the darkness. Experts have noted that if confirmed, this could be the world’s first recorded meteorite collision involving a Tesla.

The Tesla owner was enjoying a quiet drive home when they hit the king of edge cases

Veterinarian Dr. Andrew Melville-Smith and his wife were traveling north on Augusta Highway on the night of October 19 when a sudden blast struck their newly delivered Model Y. At the time, it was clear, pitch black night, and Dr. Melville-Smith and his wife were just listening to a podcast while FSD was operating the vehicle, as noted in a Yahoo News report. 

Suddenly, something hit the Tesla’s windshield. “Then there was, (what) I can only describe as a very, very violent explosion. The whole inside of the car was literally blasted with glass fragments. It was full of white smoke, and it smelled like the car was on fire,” Dr. Melville-Smith stated. 

The vet stated that he and his wife were stunned for a good 10 seconds, and for a bit, he and his wife thought they had crashed. Images of the crash’s aftermath showed a massive crack on the Tesla’s windshield, which Dr. Melville-Smith noted was hot to the touch. The object that hit the Tesla’s windshield was so hot that part of the vehicle’s windshield was partly melted. 

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FSD kept driving despite the possible meteorite strike

Thankfully, the Tesla was operating with its FSD (Supervised) system engaged at the time. Thus, despite the vehicle being hit by what might be a literal meteorite, and despite Dr. Melville-Smith and his wife being stunned because of the impact, their Tesla just kept driving steadily. 

“I thought we’d had an accident, but then I looked at the screen and went ‘Oh, we’re still driving. We were moving around, so it obviously thought we were paying attention, and it was happy to keep driving to Port Augusta. After we pulled over, we saw the big crater in the windscreen,” the vet said. 

The South Australian Museum is now examining the case, with geologist Dr. Kieran Meaney stating the scorched glass and heat damage do suggest a potential meteorite strike. “The little detail that’s really selling it for me at the moment is that whatever it was that hit the windscreen seems to have been very hot,” Meaney explained. However, the object has yet to be recovered.

Check out a video of the remarkable edge case below.

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“Foundation:” Elon Musk wants to send a record of Grokipedia to space

The idea sounds outlandish, though it is also something that is in character for the CEO.

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Credit: xAI

Elon Musk has announced one of his latest initiatives, and it is every bit as sci-fi as it is surprisingly grounded. In a post on X, Musk stated that Grokipedia, xAI’s new open-source encyclopedia, will be etched into stable oxide and launched into space. 

The idea sounds outlandish, though it is also something that is in character for the CEO.

Preserving human knowledge among the stars

Musk posted his plan following the launch of Grokipedia’s V0.1’s iteration. The CEO congratulated the xAI team for the online encyclopedia’s launch, though he also stated that the goal for Grokipedia is to create an open-source collection of knowledge. This would then be distributed to the cosmos.

“Nice work by the xAI team on Grokipedia! The goal here is to create an open source, comprehensive collection of all knowledge. Then place copies of that etched in a stable oxide in orbit, the Moon, and Mars to preserve it for the future. Foundation,” Musk wrote in his post.

While seemingly outlandish, this is not the first time that a record of human knowledge of sorts was sent out to space. In 1977, the Voyager Golden Record was launched aboard NASA’s Voyager 1 and 2 spacecraft. The record contains sounds and images that ere aggregated to portray the diversity of the Earth’s culture. Of course, Musk’s plan with Grokipedia, is infinitely more ambitious. 

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Grokipedia and AI neutrality

Musk launched Grokipedia as an AI-driven alternative to Wikipedia, designed to eliminate the human biases that could affect conventional online knowledge platforms. The system is powered by xAI’s Grok, which scrape and summarize information from across the internet, offering balanced and nuanced coverage of topics ranging from science and technology to culture and politics.

Unlike Wikipedia’s human-edited format, Grokipedia would be able to evolve through machine learning, reading vastly more material than any editorial team could. Early testers, including Wikipedia co-founder Larry Sanger, praised its initial version as “very OK” and potentially more neutral than Wikipedia. Musk agreed, stating that even in its V0.1 form, Grokipedia is “already better than Wikipedia.”

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Tesla Cybertrucks to save Las Vegas police thousands in fuel and maintenance

Sheriff Kevin McMahill unveiled the new vehicles on Monday, describing them as “the next evolution to keep our community safer than it’s ever been.”

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Credit: @Sheriff_LVMPD/X

The Las Vegas Metropolitan Police Department has officially unveiled its fleet of Tesla Cybertrucks as part of its push toward a more advanced, cost-efficient, and sustainable patrol system. 

Sheriff Kevin McMahill unveiled the new vehicles on Monday, describing them as “the next evolution to keep our community safer than it’s ever been.” The trucks are expected to begin service across all area commands within two weeks.

High-tech patrol fleet

Each UP.FIT-modified Cybertruck has been customized with ladders, shields, and less-lethal equipment to support law enforcement operations. The vehicles will connect to a live drone response hub capable of facial recognition and gunshot detection, enabling drones to launch automatically when alerts trigger. The system streams real-time footage directly to responding officers, enhancing both speed and situational awareness during emergencies.

Officers have already completed training with the new fleet and offered feedback on its performance, according to Fox 5 Vegas. Sheriff McMahill noted that the trucks, along with robot dogs and SWAT vehicles, represent a coordinated effort to combine human expertise with emerging technologies. The Cybertruck rollout was made possible through a donation from the Horowitz family.

Cybertrucks’ major savings

The department’s ten UP.FIT patrol Cybertrucks are among the most American-made law enforcement vehicles available, featuring roughly twice the domestic parts content of comparable Ford and Chevrolet patrol trucks. Beyond their build quality, the electric fleet offers major cost benefits. Each Cybertruck is projected to save between $8,800 and $12,000 in annual fuel costs and roughly $3,540 in maintenance over a five-year service life.

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With regenerative braking, factory ballistic-resistant doors, and no idling fuel burn, the Cybertruck platform provides higher uptime, lower total cost of ownership, and a quieter patrol experience, all while reducing the department’s carbon footprint. Sheriff McMahill confirmed each area command will receive one of the new patrol units.

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