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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.”

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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.

“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.

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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.  

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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Honda gives up on all-EV future: ‘Not realistic’

Mibe believes the demand for its gas vehicles is certainly strong enough and has changed “beyond expectations.” As many drivers went for EVs a few years back, hybrids are becoming more popular for consumers as they offer the best of both worlds.

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Ivan Radic, CC BY 2.0 , via Wikimedia Commons

Honda has given up on a previous plan to completely changeover to EVs by 2040, a new report states. The company’s CEO, Toshihiro Mibe, said that the idea is “not realistic.”

Mibe believes the demand for its gas vehicles is certainly strong enough and has changed “beyond expectations.” As many drivers went for EVs a few years back, hybrids are becoming more popular for consumers as they offer the best of both worlds.

Mibe said (via Motor1):

“Because of the uncertainty in the business environment and also the customer demand, is changing beyond our expectation and, therefore, we have judged that it’ll be difficult to achieve. That ratio [100-percent electric in 2040] is not realistic as of now. We have withdrawn this target.”

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Instead of going all-electric, Honda still wants to oblige by its hopes to be net carbon neutral by 2050. It will do this by focusing on those popular hybrid powertrains, planning to launch 15 of them by March 2030.

Honda will invest 4.4 trillion yen, or almost $28 billion, to build hybrid powertrains built around four and six-cylinder gas engines.

There are so many companies abandoning their all-electric ambitions or even slowing their roll on building them so quickly. Ford, General Motors, Mercedes, and Nissan have all retreated from aggressive EV targets by either cancelling, delaying, or pausing the development of electric models.

Hyundai’s 2030 targets rely on mixed offerings of electric, hybrid & hydrogen vehicles

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Early-decade pledges from multiple brands proved overly ambitious as infrastructure lags, battery costs remain high in some markets, and many buyers prefer hybrids for their convenience and range. Toyota has long championed hybrids, while others have quietly extended internal-combustion timelines.

For Honda—historically known for reliable gasoline engines—this shift leverages its core strengths while buying time to refine electric technology. Whether the hybrid-heavy strategy will protect market share in an increasingly competitive landscape remains to be seen, but one thing is clear: the gas engine is far from dead at Honda, unfortunately.

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Delta Airlines rejects Starlink, and the reason will probably shock you

In a pointed exchange on X, Elon Musk defended SpaceX’s uncompromising approach to Starlink’s in-flight internet service, explaining why Delta Air Lines walked away from a deal.

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Delta Airlines Airbus photographed April 2024 Delta-owned. No expiration date, unrestricted use.

SpaceX frontman Elon Musk explained on Wednesday why commercial airline Delta got cold feet over offering Starlink for stable internet on its flights — and the reason will probably shock you.

In a pointed exchange on X, Elon Musk defended SpaceX’s uncompromising approach to Starlink’s in-flight internet service, explaining why Delta Air Lines walked away from a deal.

Delta rejected Starlink because it insisted on routing all connectivity through its branded “Delta Sync” portal rather than allowing a simple Starlink experience.

Instead, the airline partnered with Amazon’s Project Kuiper—rebranded as Amazon Leo—for high-speed Wi-Fi on up to 500 aircraft, with rollout targeted for 2028. At the time of the announcement, Kuiper had roughly 300 satellites in orbit, while Starlink operated more than 10,400.

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The use of the “Delta Sync” portal would not work for SpaceX, as Musk went on to say that:

“SpaceX requires that there be no annoying ‘portal’ to use Starlink. Starlink WiFi must just work effortlessly every time, as though you were at home. Delta wanted to make it painful, difficult and expensive for their customers. Hard to see how that is a winning strategy.”

Musk doubled down in a follow-up post:

“Yes, SpaceX deliberately accepted lower revenue deals with airlines in exchange for making Starlink super easy to use and available to all passengers.”

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SpaceX has structured its airline agreements to prioritize zero-friction access—no captive portals, no SkyMiles logins, no paywalls or ads blocking basic connectivity.

While this means forgoing higher-margin deals that would let carriers monetize the service more aggressively, it ensures Starlink feels like home broadband at 35,000 feet. Passengers on partner airlines such as United, Qatar Airways, and Air France have already praised the service for enabling seamless video calls, streaming, and work mid-flight without interruptions.

Delta’s choice reflects a different philosophy. By keeping Wi-Fi behind its Delta Sync ecosystem, the airline aims to drive loyalty program engagement and control the digital passenger journey. Yet, critics argue this short-term control comes at the expense of immediate competitiveness.

Airlines already installing Starlink are pulling ahead in customer satisfaction surveys, while Delta passengers face years of reliance on slower, legacy systems until Leo launches.

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SpaceX’s decision to trade revenue for simplicity will pay off in the longer term, as Starlink is already positioning itself as the default high-speed option for carriers that value passenger satisfaction over incremental fees.

Musk’s focus on creating not only a great service but also a reasonable user experience highlights SpaceX’s prowess with Starlink as it continues to expand across new partners and regions.

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Tesla gathers 93,000 FSD miles in a country where FSD isn’t approved – here’s how

Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.

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Credit: Tesla AI | X

Tesla has gathered 93,000 Full Self-Driving miles in a country where Full Self-Driving is not even approved. Here’s how.

Tesla has quietly logged an impressive 93,000 miles (roughly 150,000 km) of autonomous driving at its Giga Berlin factory—using Full Self-Driving (FSD) in a country where the technology remains unavailable to consumers on public roads.

The milestone, revealed alongside news that Giga Berlin has now built 750,000 Model Y vehicles, highlights how Tesla is putting its AI to work in one of the most controlled environments imaginable: it’s own factory floor.

Every Model Y that rolls off the final assembly line at Giga Berlin doesn’t need a human driver to reach the outbound lot. Instead, the freshly built vehicles engage FSD and navigate themselves across the factory campus.

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The route—from the end of the production line through marked internal pathways to the staging area where cars await delivery or export—is entirely on private property. No public roads, no mixed traffic, and no regulatory hurdles for on-road autonomous operation.

It’s a closed-loop system: wide lanes, predictable layouts, minimal pedestrians, and consistent conditions that make it one of the simplest proving grounds for the software.

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A short factory tour video shared by Tesla Manufacturing shows General Assembly team member Jan explaining the process. Gesturing beside a glossy black Model Y still wearing its protective wrap, he notes the cumulative distance the fleet has covered autonomously.

Tesla Giga Berlin seems to be using FSD Unsupervised to move Model Y units

The cars handle the short drive flawlessly, freeing up workers who would otherwise spend hours shuttling vehicles manually. For a high-volume plant like Giga Berlin, the time and labor savings add up quickly. Even small gains in cycle time per car can reclaim valuable space in the outbound lot and streamline logistics.

This internal deployment serves multiple purposes. First, it delivers zero-cost validation data. Each factory run exposes FSD to real-world physics—acceleration, steering precision, obstacle avoidance—in a repeatable setting far safer than public testing.

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Second, it demonstrates the system’s readiness at scale. If FSD can reliably move thousands of brand-new cars without intervention inside a busy factory, it underscores the robustness of the vision-based, end-to-end neural network Tesla has been refining.

Critics often point to Europe’s cautious regulatory stance on unsupervised autonomy, yet Tesla has turned that limitation into an advantage. While owners in Germany still cannot activate consumer FSD on highways or city streets, the software is already proving its worth behind the factory gates.

The 93,000 miles represent not just internal efficiency gains but a subtle flex: the cars are manufactured ready to navigate autonomously, at least in the bounds of the factory. It’s a big feather in the cap of FSD, even if regulators have yet to green-light broader use.

As Giga Berlin continues ramping output, expect this autonomous logistics loop to grow. What began as a practical workaround for moving finished vehicles has quietly become one of the most compelling real-world showcases of FSD’s potential—right in the heart of regulated Europe. Tesla isn’t waiting for approval to perfect its autonomy; it’s already driving the future, one factory mile at a time.

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