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UN rights chief 'horrified' by reports of fully <b>autonomous</b> killer drones in Ukraine

The United Nations rights chief voiced alarm Monday at reports of fully autonomous drones killing people in Ukraine, calling for an urgent ban on weapons that can kill without human involvement. Speaking before the UN Human Rights Council, Volker Turk said he was “horrified by reports that fully autonomous drones launched by the Russian Federation killed three Ukrainians last month”. The UN High Commissioner for Human Rights also highlighted reports that Ukraine had “field-tested such weapons”. The New York Times reported last month that a Russian drone guided entirely by an artificial intelligence system killed three civilians in Zaporizhzhia in southeastern Ukraine on July 6. The report found that while the drone had been programmed by human operators to travel towards a particular petrol station, it had chosen its exact target, likely propane tanks, without human intervention. There has been growing pressure from international organisations and NGOs to regulate so-called lethal autonomous weapons, often referred to as “killer robots”. Last month, UN chief Antonio Guterres and Mirjana Spoljaric, president of the International Committee of the Red Cross, issued a joint call to rein in such weapons, warning the world was “dangerously close to crossing a moral red line: the autonomous targeting of humans by machines”. “I join calls for the urgent prohibition of weapons that can take lives without human involvement,” Turk said Monday. After years of discussions, 128 countries agreed at the UN on Saturday on a definition of autonomous weapons, even as NGOs accused the United States and Russia especially of trying to weaken the agreed text. Countries are due to decide in November whether to launch full-on treaty negotiations on regulating autonomous weapons.

Waymo And Zoox Robotaxi Test Drivers Left Injured From <b>Self-Driving Cars</b>

Waymo And Zoox Robotaxi Test Drivers Left Injured From Self-Driving Cars It turns out that some autonomous cars are a little heavy on the brakes — to the point that it's causing injuries to test drivers. After looking at data supplied to the Occupational Safety and Health Administration, TechCrunch found evidence of injuries from hard braking and sudden maneuvering, such as whiplash and sprains, suffered by test drivers working for Waymo and Zoox in 2024 and 2025. Transdev, which employs testers for Alphabet-owned Waymo, reported 11 injuries from 2025 in San Francisco, Los Angeles, and Phoenix, caused largely by aggressive braking. In one incident, a driver in Phoenix was unable to work for more than 150 days after an unexplained braking event. In at least two other incidents, hard braking occurred for no clear reason, raising the possibility that Waymo's autonomous-driving system may have incorrectly perceived an obstacle. Similarly, Zoox drivers described repeated abrupt braking events, sometimes triggered by non-existent road debris. In some cases, the vehicle stopped suddenly during a so-called "nogo" event, which involves a total shutdown of the autonomous systems in response to an internal issue. Responding to the findings, Waymo, which has been expanding its robotaxi fleet to major U.S. cities, said safety is its main priority and pointed to the tens of millions of miles driven with human operators as part of ongoing development work. Zoox, meanwhile, said it takes worker injuries seriously, while noting that braking hard is sometimes necessary. It added that the reported injuries were minimal compared to the millions of miles driven during fleet testing. Read more: 9 Cool Gadgets Every Motorcycle Rider Needs Deciding when to brake These incidents highlight the engineering challenge at the center of autonomous braking systems. Getting a vehicle to respond to hazards quickly while ensuring

From the Knowledge to machine learning: Wayve takes AI <b>driving</b> to London

Autonomous driving startup Wayve says its new robotaxi service which launched last week in the UK capital will be a key test of its machine learning system which attempts to teach cars how to drive rather than programming them to cope with every road they encounter. The London-based AI company began offering supervised autonomous rides through Uber on Thursday, putting its approach to the test on one of the world’s most complicated urban road networks. The service is initially small. Londoners requesting an UberX, Uber Electric or Uber Comfort can be matched with one of Wayve’s electric Ford Mustang Mach-Es at no additional cost, with a trained, Transport for London-licensed driver remaining in the vehicle to supervise the system. However, the technology behind the cars points to a bigger shift in autonomous driving. Wayve’s AV2.0 system uses an approach known as ‘end-to-end machine learning‘. Rather than relying heavily on high-definition maps and hand-coded rules to determine how a vehicle should respond, the system is designed to learn from driving experience, translating information from its sensors into decisions about how to navigate. The company says that this makes it easier for machines to navigate things like roadworks, temporary speed restrictions, parked vehicles, cyclists and pedestrians. That is a different proposition from earlier generations of autonomous driving technology, which relied more heavily on detailed maps, software rules and predefined operating conditions, requiring engineers to anticipate and programme responses to a wide range of scenarios. “Autonomous driving technology will complement the city’s rich transport network,” said Alex Kendall, Wayve’s co-founder and chief executive. Certainly, London, with its constantly changing roads and unpredictable traffic, is likely to provide an exacting testbed for Wayve’s driving model. The approach also reflects a broader shift in how the industry is thinking about autonomous driving. NVIDIA’s Alpamayo platform,

Cao Cao Mobility Unveils Commercialization Path for <b>Autonomous</b> Fleets

Robotaxi Competition Enters the Operations Era: Cao Cao Mobility Unveils Commercialization Path for Autonomous Fleets The competitive focus of the autonomous taxi (robotaxi) industry is shifting from "can the car drive itself" to "can the fleet make money on its own." Recently, Pony.ai, WeRide, and Baidu held earnings calls in succession, where analysts' questions moved beyond technology roadmaps to cost structures and commercial returns behind fleet expansion. Zhao Chenhui, CTO of Cao Cao Mobility's RoboX division, stated bluntly in an exclusive interview with Wallstreetcn: "To date, L4 single-vehicle intelligence has essentially achieved sustained operational capability in constrained scenarios. What every player needs to do now is evolve from single vehicles to fleets, solving fleet operations and commercialization." These remarks underscore a fundamental transformation underway in the industry. Over the past few years, the core challenge for robotaxi players was proving that autonomous driving systems could operate safely on open roads. Today, safety redundancy, remote assistance, recharging and maintenance, order dispatching, and per-vehicle economics are becoming capabilities as critical as the algorithms themselves. In other words, a vehicle that can complete autonomous driving within a designated area is merely the starting point for scaling. The real threshold lies in whether autonomous vehicles can be converted into safe, stable, and replicable transportation capacity. From Single-Vehicle Intelligence to Fleet Operations Zhao Chenhui believes that L4 single vehicles have essentially crossed the threshold of "can they drive," and the next problem to solve is whether autonomous fleets can continuously accept orders, recharge, undergo maintenance, and handle anomalies. Competition is thus extending from the autonomous vehicles themselves to the complete chain of vehicle manufacturing, order acquisition, and offline operations. Cao Cao Mobility's solution to this shift is called "RoboX." It expands the business from robotaxis to unmanned cargo vehicles (robovans) and connects different types of

Waymo And Zoox Robotaxi Test Drivers Left Injured From <b>Self-Driving Cars</b>

Waymo And Zoox Robotaxi Test Drivers Left Injured From Self-Driving Cars It turns out that some autonomous cars are a little heavy on the brakes — to the point that it's causing injuries to test drivers. After looking at data supplied to the Occupational Safety and Health Administration, TechCrunch found evidence of injuries from hard braking and sudden maneuvering, such as whiplash and sprains, suffered by test drivers working for Waymo and Zoox in 2024 and 2025. Transdev, which employs testers for Alphabet-owned Waymo, reported 11 injuries from 2025 in San Francisco, Los Angeles, and Phoenix, caused largely by aggressive braking. In one incident, a driver in Phoenix was unable to work for more than 150 days after an unexplained braking event. In at least two other incidents, hard braking occurred for no clear reason, raising the possibility that Waymo's autonomous-driving system may have incorrectly perceived an obstacle. Similarly, Zoox drivers described repeated abrupt braking events, sometimes triggered by non-existent road debris. In some cases, the vehicle stopped suddenly during a so-called "nogo" event, which involves a total shutdown of the autonomous systems in response to an internal issue. Responding to the findings, Waymo, which has been expanding its robotaxi fleet to major U.S. cities, said safety is its main priority and pointed to the tens of millions of miles driven with human operators as part of ongoing development work. Zoox, meanwhile, said it takes worker injuries seriously, while noting that braking hard is sometimes necessary. It added that the reported injuries were minimal compared to the millions of miles driven during fleet testing. Deciding when to brake These incidents highlight the engineering challenge at the center of autonomous braking systems. Getting a vehicle to respond to hazards quickly while ensuring the decisions are accurate, controlled, and safe for occupants

Goldman Sachs Delivers Stark Message on Tesla Stock

Goldman Sachs Delivers Stark Message on Tesla Stock Tesla TSLA could gain a cost advantage in the robotaxi market through its Cybercab, but Goldman Sachs says software performance will be more important to the business case. Tesla began robotaxi rides with Cybercab following its Sept. 3 event in Austin and said its vehicles had completed 1 million miles without active driver control. Goldman estimates a scaled Cybercab costing $20,000 to $30,000 could have a per-mile advantage of five to 30 cents versus rival autonomous vehicles priced at $50,000 to $100,000. The bigger question is whether Tesla can expand its autonomous-driving system across more markets. A wider network could increase vehicle utilization and allow software economics to play a larger role in profitability. Goldman maintained a Neutral rating with a $360 price target. The firm sees potential upside toward $500, while its downside case is about $150. Robotaxi scaling and autonomous software execution remain key factors behind Tesla's valuation.

Waymo vs Zoox: U.S. Robotaxi Race and Investor Impact

- Waymo and Zoox expansion news at a glance - Why does Waymo's three-city launch matter? - Waymo's scale advantage is becoming measurable - Zoox has crossed from demonstration to paid service - Waymo vs Zoox vs Tesla: Who is leading the U.S. robotaxi race? - The five numbers that will decide the robotaxi winner - What Waymo's $126 billion valuation implies? - What Zoox means for Amazon stock? - Could robotaxis hurt Uber and Lyft? - Robotaxi safety is both a social issue and a financial metric - Key risks investors should not ignore - What investors should watch next? - Analyst view: Waymo leads, but the business model has not finished the race The U.S. robotaxi race has entered a more serious phase. Waymo is a company owned by Alphabet that develops and operates self-driving cars for passenger rides. It is no longer just proving that a driverless car can complete a carefully selected trip. It is trying to build a large autonomous ride network across 14 cities. Zoox is Amazon's self-driving car company. It has crossed a different but equally important threshold: its purpose-built robotaxi can now charge passengers in Las Vegas and serve airport trips while the company prepares to enter two more major markets. The investment question is therefore shifting from, "Can the technology work?" to, "Can these companies operate enough vehicles at high enough utilisation to justify the money already being spent and the valuations investors are assigning?" Let's break down what Waymo and Zoox announced, how far each company has progressed, what the economics may look like and which U.S. stocks give investors exposure to the autonomous driving race. Waymo and Zoox expansion news at a glance | Development | Waymo | Zoox | | Latest expansion | Began admitting public riders in

Nutson's Weekly <b>Auto News</b> Wrapup September 6, 2026

Nutson's Weekly Auto News Wrapup September 6, 2026 | | The Auto Channel — Trusted automotive reporting for 32 years. This article is part of The Auto Channel’s independent automotive coverage library — one of the longest-running automotive publications online (since 1995). Our editors test, research, and document vehicles, technologies, recalls, and ownership experiences to help drivers make informed decisions. Unlike short news blurbs, our content is written for long-term usefulness — explaining what the vehicle is, why it matters, and how it affects real owners. Coverage includes reviews, specifications, safety data, recall history, industry context, and real-world driving impressions collected over decades of reporting. | | | | LEARN MORE FROM THE WEB'S LONGEST RUNNING AUTOMOTIVE COLUMN Here are Larry’s Top Auto Story Picks of the Week of August 31 - September 6, 2026. Larry picked these as important, relevant, interesting, and sometimes semi-secret stories you need to know—served up as snappy, opinionated, and insider-sharp. These are expertly crafted, easy-to-understand news nuggets that cut through the noise and get right to what matters to you in the automotive world. * Gas and Diesel prices. 2026 is on track to be the most expensive year for diesel in U.S. history. the YTD average sits at $4.85/gal per GasBuddy data, with the current average at $5.58. by late September, 2026 will likely surpass 2022's full-year average. If you're driving to your Labor Day destination, prepare to pay more money at the pump. Gasbuddy is predicting that drivers will pay approximately 87 cents more per gallon compared to last year. * What do you think? Uber president and COO Andrew Macdonald predicts that in two decades, most people will get around by bike, scooter, public transit, or autonomous vehicle. "In some future world, maybe not five years, but 15 or 20 years,

Ryu Geung-seon says Korea must build urban ecosystem to scale <b>autonomous driving</b>

Kakao Mobility presented a vision that, to commercialize Autonomous Driving, it is necessary to build an ecosystem that spans services and urban infrastructure beyond vehicles and driving technology. The strategy is to move away from competition over the Autonomous Driving performance of individual vehicles and secure service operations optimized for urban environments. Ryu Geung-seon, CEO of Kakao Mobility, stated accordingly in a keynote speech titled "Bringing Autonomous Driving technology into everyday travel" at the 2026 Global Mobility Conference held on the 7th. The Global Mobility Conference is co-hosted by the Ministry of Land, Infrastructure and Transport, the Korea Transportation Safety Authority (TS), and the International Transport Forum (ITF) under the Organisation for Economic Co-operation and Development (OECD). Kakao Mobility, Waymo, and Nvidia participated as keynote speakers. Ryu emphasized that the commercialization of Autonomous Driving should not be limited to applying new technology to existing modes of transportation. Autonomous Driving must expand from driving technology to services and then to urban infrastructure for it to truly take root in citizens' daily lives. He said, "New technology should not be the preserve of a few but be for all users," and added, "We need to make technology reach directly into people's daily lives." Kakao Mobility is pushing to make Autonomous Driving services part of everyday life by combining its in-house Autonomous Driving technology with its experience operating a platform 24 hours a day. According to the company, 97% of users of the late-night Autonomous Driving service in Gangnam used the existing Kakao T app without installing a separate application (app). Fleet utilization reached 82.5%. Ryu argued that, in step with the spread of Autonomous Driving, urban infrastructure and the transportation ecosystem must change together. Just as roads, traffic lights, and crosswalks were built when the primary mode of travel shifted from walking

Kakao <b>Autonomous Vehicle</b> Utilization Rate at 82.5%... &quot;City Operations Key to Commercialization&quot;

▲ Kakao Mobility CEO Ryu Geung-sun delivering a keynote speech at the Global Mobility Conference Kakao Mobility CEO Ryu Geung-sun emphasized that to commercialize autonomous driving, cities need to design city-wide operating systems alongside vehicle technology. In his keynote speech at the 2026 Global Mobility Conference co-hosted by the Ministry of Land, Infrastructure and Transport, the Korea Transportation Safety Authority (TS), and the International Transport Forum (ITF) under the Organisation for Economic Co-operation and Development (OECD) today (Sept. 7), CEO Ryu stated, "Autonomous vehicles drive alone, but autonomous driving services must be built together." Ryu diagnosed that the commercialization of autonomous driving goes beyond applying driving technology to existing vehicles, marking a massive shift that transforms services and urban infrastructure as well. He suggested, "Even with the same technology, changing the city introduces a different 10 percent of challenges," adding, "The evaluation criteria for autonomous driving services should shift from how well a single car drives to how hundreds of them are operated within a city." Separately, Kakao Mobility revealed that 97 percent of users of its late-night autonomous driving service in Gangnam used the existing Kakao T app without installing a separate application. The company also explained that the vehicle utilization rate recorded 82.5 percent. Amid the major transition period toward the commercialization of autonomous driving, Ryu repeatedly emphasized that, just as roads, traffic lights, and crosswalks were established to match vehicle adoption, urban spaces, infrastructure, and safety rules must evolve together in the era of autonomous driving. He continued, "Based on our mobility technology development experience and platform operation capabilities accumulated over the past decade, we will contribute to making autonomous driving a daily transportation service through public-private cooperation." Additionally, Kakao Mobility shared that it has internalized core technologies such as high-precision maps and integrated AI models while

Kakao <b>Autonomous Vehicle</b> Utilization Rate at 82.5%... &quot;City Operations Key to Commercialization&quot;

▲ Kakao Mobility CEO Ryu Geung-sun delivering a keynote speech at the Global Mobility Conference Kakao Mobility CEO Ryu Geung-sun emphasized that to commercialize autonomous driving, cities need to design city-wide operating systems alongside vehicle technology. In his keynote speech at the 2026 Global Mobility Conference co-hosted by the Ministry of Land, Infrastructure and Transport, the Korea Transportation Safety Authority (TS), and the International Transport Forum (ITF) under the Organisation for Economic Co-operation and Development (OECD) today (Sept. 7), CEO Ryu stated, "Autonomous vehicles drive alone, but autonomous driving services must be built together." Ryu diagnosed that the commercialization of autonomous driving goes beyond applying driving technology to existing vehicles, marking a massive shift that transforms services and urban infrastructure as well. He suggested, "Even with the same technology, changing the city introduces a different 10 percent of challenges," adding, "The evaluation criteria for autonomous driving services should shift from how well a single car drives to how hundreds of them are operated within a city." Separately, Kakao Mobility revealed that 97 percent of users of its late-night autonomous driving service in Gangnam used the existing Kakao T app without installing a separate application. The company also explained that the vehicle utilization rate recorded 82.5 percent. Amid the major transition period toward the commercialization of autonomous driving, Ryu repeatedly emphasized that, just as roads, traffic lights, and crosswalks were established to match vehicle adoption, urban spaces, infrastructure, and safety rules must evolve together in the era of autonomous driving. He continued, "Based on our mobility technology development experience and platform operation capabilities accumulated over the past decade, we will contribute to making autonomous driving a daily transportation service through public-private cooperation." Additionally, Kakao Mobility shared that it has internalized core technologies such as high-precision maps and integrated AI models while

NHTSA opens inquiry into Tesla Cybercab safety claims

The National Highway Traffic Safety Administration (NHTSA) has opened a formal investigation into Tesla’s self-certification that its Cybercab autonomous vehicle meets federal safety standards, following commercial deployment of the model as a driverless robotaxi in Austin, Texas. The audit query will examine whether Tesla’s compliance framework adequately covers a vehicle designed without conventional human controls. Under the US regulatory framework, automakers self-certify compliance with federal motor vehicle safety standards (FMVSS), subject to agency oversight. The Cybercab entered commercial service in Austin without a steering wheel, brake pedal, or other conventional driver controls, raising questions about which existing requirements apply and how Tesla evidenced adherence to them. NHTSA has begun work on eight rulemakings intended to adapt existing standards for autonomous vehicles, covering areas including lighting, rearview mirrors, and windshield wipers. Those revisions remain incomplete, and current FMVSS requirements, many drafted for human-operated vehicles, continue to apply. In a statement, Jonathan Morrison, NHTSA Administrator, said: “NHTSA fully supports the safe development and deployment of automated vehicles. But as the federal regulator, we need to ensure that all of our laws are followed. Our approach of balancing innovation with safety oversight will allow the United States to maintain its global leadership in AV innovation.” Source: NHTSA

Alibaba's Qwen releases open-source model for <b>autonomous driving</b>

Alibaba’s Qwen team has released Qwen-Drive-1.0-4B, an open-source model that combines driving-scene understanding with planning a vehicle’s movements. Developed with Huazhong University of Science and Technology, it uses Qwen3.5-4B as its vision-language foundation and adds separate components for 3D perception and generating driving trajectories. The release includes two versions of the planning component: one trained to imitate driving examples and another further optimized through reinforcement learning. Both use the same underlying vision-language model, which retains its original architecture and ability to answer visual questions. The project provides code, model weights and demo data under the Apache 2.0 license. [Qwen]

Didi to apply for driverless <b>vehicle</b> tests in Hong Kong this year | South China Morning Post

Ride-hailing giant Didi Chuxing to apply to test driverless vehicles in Hong Kong Government adviser says mainland Chinese company plans Tseung Kwan O pilot project, with room to expand if business model proves viable The announcement followed a visit to Didi’s Beijing headquarters last Wednesday by Secretary for Transport and Logistics Mable Chan and a group of lawmakers. Gary Zhang Xinyu, a member of the Transport Department’s working group for promoting autonomous vehicle applications, said on Monday that the company would apply for an autonomous vehicle pilot licence in Hong Kong this year, with initial trial runs planned for Tseung Kwan O. “Tseung Kwan O itself is large and diverse – the town centre, Lohas Park and the industrial estate all have different road conditions,” he told a radio programme. “The industrial estate is a more suitable place to start because the roads are wider, the traffic volume is lower, and the overall environment is relatively simple.” Didi is also recruiting autonomous vehicle test drivers for Tseung Kwan O roles at HK$21,000 to HK$22,000 (US$2,678 to US$2,805) a month, according to a job posting.

Global autos plug into China's tech edg | investinchina.chinaservicesinfo.com

CHENGDU — The latest Mercedes-Benz GLE SUV made its global debut at this year's Chengdu Motor Show, with an assisted-driving system jointly developed with Chinese autonomous driving technology provider Momenta. The new long-wheelbase GLE is also set to later adopt Momenta's R7 World Model, a self-improving physical artificial intelligence engine. Mercedes-Benz first invested in the Chinese startup in 2017, and their cooperation has expanded in recent years. For decades, foreign automakers followed a fixed business pattern: introducing overseas-developed models and technologies into China and making targeted adaptations for local consumers. However, as software and AI gain growing importance in modern automobiles, this industry dynamic has undergone a notable shift. Other global automakers such as BMW, Volkswagen and Toyota are also partnering with Chinese companies in the field, as China's fast-moving auto market produces a new crop of tech suppliers. A new supplier landscape The booming and fast-evolving Chinese market serves as the core driver of this transformation. Once largely confined to vehicles priced above 300,000 yuan ($44,610), advanced assisted-driving features have gradually spread into the 150,000 to 200,000-yuan vehicle segment and, in some instances, even lower-tier markets. At the just-concluded Chengdu Motor Show 2026, the 29th edition, in Southwest China's Sichuan province, urban navigation assistance and automated parking — two of the most capable such functions — have become standard features on newly launched models. The shift is taking place as new-energy vehicles take a larger share of China's auto market. According to the China Association of Automobile Manufacturers, NEV sales reached 1.56 million units in July this year, accounting for more than 60 percent of monthly new vehicle sales for the first time. As NEVs spread across more price segments, Chinese automakers seek to differentiate their products through smart-driving functions. This rapid adoption, paired with fierce competition among carmakers,

Wayve, Uber Launch Supervised <b>Autonomous</b> Rides in London

Insider Brief - Wayve and Uber have launched supervised autonomous rides in London, marking what Wayve says is the first autonomous ride-hailing service available in the U.K. - Londoners requesting UberX, Uber Electric or Uber Comfort may be matched with a Wayve-equipped Ford Mustang Mach-E, with a Transport for London-licensed driver onboard during the initial phase and service available across the city except airports. - The rollout is part of a broader partnership to bring Wayve-powered vehicles to Uber in 12 markets, with Nissan Leaf vehicles using the Wayve AI Driver and Nvidia Drive Hyperion also planned for Tokyo later this year. Wayve and Uber have launched supervised autonomous rides in London. According to Wayve, it markes the first time autonomous trips are available through a ride-hailing service in the U.K. and Londoners requesting UberX, Uber Electric or Uber Comfort may be matched with a Wayve-equipped Ford Mustang Mach-E at no additional cost. The all-electric vehicles use the Wayve AI Driver and surround sensors, while a trained and Transport for London-licensed private hire driver remains onboard during the initial phase. “We’re proud to introduce the Wayve AI Driver to the public for the first time right here in London, our home city and one of the most complex driving environments in the world,” Wayve co-founder and CEO Alex Kendall said in the announcement. “Autonomous driving technology will complement the city’s rich transport network, and we’re excited for Londoners to experience it first as we begin our global rollout with Uber.” The service is starting with a small number of vehicles and will operate across London except airports, according to the companies. Riders can accept the autonomous vehicle or switch to a conventional ride before it arrives, and can use the Uber app to unlock the car and begin the trip.

NHTSA Opens Investigation Into Tesla Cybercab Self-Certification Following Austin Deployment

The U.S. Department of Transportation’s National Highway Traffic Safety Administration has opened an investigation into Tesla’s self-certification that its Cybercab complies with all applicable Federal Motor Vehicle Safety Standards following the commercial deployment of driverless Cybercab vehicles in Austin, Texas. NHTSA opened an Audit Query, designated AQ26002, to examine the basis for Tesla’s certification of the Cybercab and determine whether the vehicle meets existing federal safety requirements. Under the U.S. vehicle regulatory framework, automakers are responsible for certifying that their vehicles comply with applicable Federal Motor Vehicle Safety Standards before those vehicles enter the market. NHTSA oversees that self-certification process and can investigate when questions arise about whether a vehicle actually complies with the applicable standards. The Cybercab inquiry is notable because the vehicle is designed without traditional human driving controls, creating questions around how existing federal safety requirements apply to a vehicle built specifically for autonomous operation. NHTSA said the Audit Query will review the technical data and processes Tesla relied upon when self-certifying the Cybercab. The agency will also examine whether Tesla’s compliance framework treated certain Federal Motor Vehicle Safety Standards as inapplicable because the Cybercab lacks traditional controls intended for human drivers. The investigation follows Tesla’s deployment of the Cybercab for commercial driverless service in Austin, Texas. NHTSA emphasized that existing federal vehicle safety standards remain in force even as the agency works to modernize regulations for autonomous and next-generation vehicles. The agency has begun work on eight rulemakings intended to update existing standards, including requirements involving brake pedals, windshield wipers, lighting and rearview mirrors. Those efforts are intended to remove regulatory barriers that may no longer fit vehicles designed around automated driving systems while maintaining federal safety requirements. Until those revised standards are finalized, however, manufacturers remain responsible for complying with the current regulatory framework. The

Uber co-founder Travis Kalanick plans to re-ent...

Walmart expands delivery to Dunkin' products, challenging Uber Eats and DoorDash with fast, combined orders. Walmart is launching delivery of Dunkin' products from its stores and plans to expand to most Dunkin' locations nationwide, competing directly with food delivery services like Uber Eats and DoorDash. This move builds on Walmart's existing Subway deli...

Uber Co-Founder Eyes Return to Ride-Hailing With Atoms Startup

That’s according to a report Sunday (Sept. 6) by the Financial Times (FT), which said Travis Kalanick is looking to develop robotaxi technology by reuniting with veterans of Uber’s autonomous vehicles team in a bid to achieve a decade-old goal. Thanks to a recent $1.7 billion funding round, Atoms is about to embark on a hiring spree to bring on autonomous engineering talent, sources familiar with Kalanick’s plans told FT. Atoms, which Kalanick has described as a “physical AI” company, has also held early talks with Uber about using its technology for robotaxis on its ride-hailing network, these sources said. They added that Uber has invested $100 million in Atoms. A tie-up would be Kalanick’s first involvement in ride-hailing at Uber since he left its board in 2019, the report said. He was forced out as CEO in 2017 after an independent investigation into Uber’s handling of sexual harassment complaints criticized the company and recommended Kalanick step back. We’d love to be your preferred source for news. Please add us to your preferred sources list so our news, data and interviews show up in your feed. Thanks! “A lot of the things that would have happened with Uber over time are things we’re doing now,” Kalanick said this month at an event hosted by venture firm Andreessen Horowitz in San Francisco, per FT. The report said it interviewed several current and former Atoms and Uber employees about Kalanick’s return to the ride-hailing space after nearly a decade on the sidelines. Uber declined to comment for FT, while Atoms said it is “an industrial software company focused [on] industrial applications.” “We have no plans to enter the saturated robotaxi market. Uber is a partner of Atoms and can use our technology for its ridesharing business if it is helpful,” the company