AI's Dangerous March: Can We Stop It Before It's Too Late? #shorts
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Aurora Innovation has deployed its second-generation driverless Class 8 trucks across commercial freight lanes in the United States (U.S.). The heavy trucks feature autonomous hardware rated for a one-million-mile service lifespan. Built on the International LT Series vehicle platform, the updated fleet integrates specialized hardware designed for large-scale driverless operations. Assemblies take place in partnership with product development supplier Roush. Chief Executive Officer (CEO) Chris Urmson confirmed the platform provides the infrastructure required for broader commercial deployment. Initial deployments follow the completion of internal safety evaluations for ten active freight corridors. The long-haul trucks rely on upgraded sensor suites to navigate highway traffic without a human driver inside the cabin. Forward-facing Light Detection and Ranging (LIDAR) sensors detect objects up to half a mile away during bright daylight or night conditions. An automated cleaning system uses targeted air and water jets to clear dirt from external lenses during bad weather. The system maintains visual field clarity, which allows onboard control systems to process route conditions continuously. An onboard computing unit running Nvidia processors computes sensor inputs to render driving decisions in milliseconds. The computer operates with redundant backup systems, and it fits within a chassis forty percent smaller than previous models. Contract logistics firm Hirschbach Motor Lines recently placed a commercial order for 500 autonomous trucks fitted with the technology. Production goals target an annual integration rate of 1,000 trucks at Roush assembly facilities by year end. Autonomous Class 8 trucks have completed nearly 440,000 driverless miles across public roads through late June. Commercial fleets plan to run these long-distance vehicles continuously on long-haul routes, which reduces required transit delays. Eliminating mandatory rest stops allows long-distance freight journeys to proceed without extended idle periods along transport corridors. On standard interstate routes between Texas and Arizona, delivery schedules decrease by up
Toyota Motor Corporation has signed a binding agreement to become an equal shareholder in cellcentric, the fuel cell joint venture established by Volvo Group and Daimler Truck. Once the transaction is completed, Toyota, Volvo Group and Daimler Truck will each own one-third of cellcentric. The companies expect the deal to close around the end of 2026 or beginning of 2027, subject to regulatory approvals. Toyota’s addition is intended to strengthen cellcentric’s fuel cell development capabilities, manufacturing capacity and competitiveness in heavy-duty commercial applications. Cellcentric will continue to operate as an independent company and Tier 1 supplier, with Volvo Group, Daimler Truck and Toyota continuing to compete separately in their other business areas. The proposed ownership structure brings together Volvo Group’s and Daimler Truck’s commercial vehicle experience with Toyota’s fuel cell development and manufacturing knowledge. Toyota has worked on fuel cell technology for more than 30 years, including passenger vehicles and heavy-duty truck demonstrations. Under the framework outlined when the companies announced the proposed partnership in March, Toyota and cellcentric also intend to jointly oversee the development and production of fuel cell unit cells, related system architecture and control components. Toyota planned to obtain its equal interest through an investment tied to a capital increase at cellcentric. cellcentric introduced its BZA375 fuel cell system in April, designed primarily for heavy-duty long-haul trucks and providing up to 375 kW of continuous net power, or more than 500 horsepower. Prototype production of the BZA375 has started, with systems being made available to customers for testing and validation. Larger volumes of prototype systems are expected to support initial fleet applications before series production, which is being prepared for around the end of the decade. The three shareholders also plan to work with industry associations and companies throughout the hydrogen value chain to support hydrogen
Aurora adds Value Truck as latest driverless trucking customer Aurora Innovation has signed another commercial customer for its autonomous trucking business, announcing that Value Truck will begin using the Aurora Driver on two longhaul freight lanes as the company brings its second-generation driverless trucks into service. Value Truck, a cross-border carrier specializing in heavy equipment, retail goods and perishables, plans to initially deploy the Aurora Driver on the Dallas-Laredo and Fort Worth-Phoenix routes. The company said autonomous trucks will provide additional longhaul capacity while allowing its human drivers to focus on local freight operations. “We’re proud to work alongside Aurora to move autonomous trucking from possibility to everyday freight operations,” said Joe Skoog, CEO of Value Truck. “The Aurora Driver will add flexible capacity on key long-haul corridors while allowing our drivers to focus where their experience matters most.” Aurora said the partnership is aimed in part at addressing growing freight demand tied to nearshoring and increased cross-border trade. “Freight volume on routes like Dallas-Laredo is growing faster than available capacity, and that gap is exactly what the Aurora Driver is built to close,” said Zac Andreoni, Aurora’s vice president of business development. “Value Truck is exactly the kind of customer we built our second-generation trucks for — a carrier that is growing and needs flexible, round-the-clock coverage on high-growth corridors.” The Dallas-Laredo corridor is a strategic target for autonomous trucking. Aurora noted that Laredo, Texas, handles about 40% of all freight moving between the United States and Mexico, with growing manufacturing activity in Mexico increasing freight volumes through the border crossing. Congestion and driver hours-of-service limitations can create delays, while autonomous trucks are able to operate continuously on U.S. highways. Have your say This is a moderated forum. Comments will no longer be published unless they are accompanied by
Wabash, a leader in end-to-end supply chain solutions for the transportation, logistics and infrastructure markets, today announced a new partnership with Truck Source Inc., a full-service trailer dealership headquartered in Portland, Oregon. The partnership strengthens Wabash's ability to serve fleets operating throughout the growing Interstate- 5 corridor and greater Phoenix market. This partnership expands customer access to trailers, parts and service, making it easier for local and national fleets to get the equipment and support they need across the Western U.S. It also reflects Wabash’s commitment to partnering with dealers known for responsive service, technical expertise and scalable support that help keep customers operating with confidence. "Wabash is committed to expanding our dealer network with partners who share our focus on helping customers operate with confidence," said Drew Schwartzhoff, chief commercial officer at Wabash. "Truck Source has built a strong reputation for responsive service, technical expertise and customer relationships throughout the Pacific Northwest and Arizona. Together, we’ll make it easier for fleets to access the equipment, parts and support they need to maximize uptime and keep business moving." The addition of Truck Source expands Wabash's ability to support fleets operating in key freight markets where dependable equipment, responsive service and timely parts availability help keep freight moving and reduce costly downtime. Portland serves as a strategic hub along the I-5 corridor connecting the West Coast to Canada, while Phoenix continues to experience significant growth as a transportation and logistics center. "For more than 20 years, Truck Source has built our business on keeping fleets moving," said Alex Bessarab, president of Truck Source. "Partnering with Wabash lets us pair best-in-class trailer products with the service, parts and warranty support our customers rely on to keep equipment on the road. We are excited about what this partnership means for carriers throughout Oregon
The Automation Inflection Point Reshaping Global Mining Haulage Across the world's largest open-pit mines, a quiet but profound operational shift is underway. The traditional image of human drivers navigating massive haul trucks across dusty mine roads is giving way to something fundamentally different: coordinated fleets of driverless vehicles operating with precision, consistency, and a measurable edge over their human-operated counterparts. This transition reflects broader mining automation trends that are reshaping the global resource sector — and it is happening now. Few players illustrate this shift more sharply than CiDi, a Hong Kong-listed autonomous mining equipment developer whose global deployment footprint and aggressive international ambitions are placing it at the centre of one of the most consequential technology transfers in modern resource extraction. The CiDi overseas expansion for autonomous mining trucks is, consequently, one of the most closely watched developments in the industry. When big ASX news breaks, our subscribers know first What Is CiDi and Why Does Its Background Matter? Founded in 2017, CiDi carries a notable founding lineage. The company was established by Li Zexiang, a professor at the Hong Kong University of Science and Technology who also mentored Frank Wang Tao, the founder of DJI, the world's dominant consumer and commercial drone manufacturer. Li also served as DJI's chairman. This academic and entrepreneurial heritage is more than biographical detail — it reflects a technology development philosophy rooted in precision engineering, scalable hardware platforms, and deep integration between software intelligence and physical machinery. That same philosophy now underpins CiDi's flagship offering: the METAMINE platform, a full-stack autonomous mining system that brings together driverless trucks, fleet coordination software, centralised dispatch infrastructure, and remote teleoperation capabilities for excavators and other heavy equipment. The company's financial trajectory has been equally striking. In December 2025, CiDi completed a Hong Kong Stock Exchange listing
Waymo's Robotaxis Have A Parking Problem—And It's Costing Thousands Waymo’s robotaxi fleet in Austin has hundreds of self-driving cabs that seem to have a problem parking legally. - Waymo’s Austin robotaxis have racked up thousands of dollars in parking tickets. - The company has paid over $7,000 in fines, but it still has nearly $2,000 in unpaid tickets. - A Waymo spokesperson said the company pays fines just like any other driver. Waymo is leading the pack when it comes to autonomous taxis in the United States, but that position doesn’t shield its driverless cars from one of life’s occasional annoyances: parking fines. The Alphabet-owned company started offering rides in Austin, Texas, two years ago, and has slowly but surely increased its fleet to roughly 200 vehicles. During this time, however, the electric taxis have also been racking up plenty of traffic tickets. Since the service’s debut in Austin in 2024, Waymo has been hit with $9,325 in parking tickets, according to documents obtained by The Wall Street Journal through an open-records request. The driverless cab company has paid $7,433 worth of fines across 83 different citations, but the operator still has $1,892 in unpaid fines, per the records. That’s not a huge amount for a company as big as Waymo, but it shows that despite all the effort that goes into developing a reliable robotaxi business, these cars will still make human mistakes. The city has issued fines between $20 and $519 to Waymo’s robotaxis, with the biggest citation coming after one of the company’s self-driving Jaguar I-Paces had parked in a spot reserved for the disabled. Additionally, the city has issued 63 fines for parking in a tow-away zone, 13 for not paying for a metered spot, and nine for double parking. All this being said, Waymo has
Elon Musk announced new timelines for the rollout of Autopilot for the Tesla Semi electric trucks During the earnings call for the second quarter of 2026, Tesla CEO Elon Musk announced that the full self-driving (Full Self-Driving) for the Semi trucks is scheduled to be rolled out in late 2026 or early 2027. According to the CEO, the delay in developing the autonomous system for commercial trucks is due to the company’s prioritization of mass-market passenger models (Model 3, Model Y, and Robotaxi). At the same time, Musk emphasizes that autonomous trucks will be a key solution to overcoming the acute driver shortage in the U.S. logistics industry and will significantly improve transportation safety. Despite these new promises, experts urge caution regarding the stated timelines, pointing out the systematic postponement of deadlines for Tesla’s Autopilot system since 2013, as well as the active progress being made in this area by direct competitors (notably Aurora). Source: Electrek. Tesla ended the second quarter with record vehicle deliveries. The company delivered more than 480,000 electric cars to customers, significantly exceeding analysts’ forecasts and posting its best-ever result for this period in its history. Honda has officially launched its first mass-produced electric motorcycle on the European market. The WN7 model is already on sale in the United Kingdom, has a range of up to 140 kilometers, and supports fast charging.
GEODIS is strengthening its road transport capabilities in Italy with the deployment of new-generation CO₂ tankers designed to improve safety, operational efficiency and lower-carbon transport performance. The investment reflects the Group's ongoing commitment to providing innovative and reliable logistics solutions for the industrial gas sector. Since July 1st, GEODIS has deployed 2 new CO₂ tankers for its road transport operations in Italy. Based at Cormano, the vehicles will support the transportation of industrial gases across Italy and Europe, providing customers with greater operational flexibility and service reliability. Today, GEODIS operates a fleet of 20 CO₂ tankers, with plans to continue modernizing and expanding its capabilities in line with market developments. - Anti-rollover systems - ABS/EBS braking systems - Automated semi-trailer braking during reverse maneuvers near obstacles - Automatic braking when the rear door is open during unloading - Tire Pressure Monitoring System (TPMS) Together, these features further enhance safety for drivers, operators and customers throughout transport operations. Equipped with new-generation rolling and cryogenic components, the tankers require less maintenance, increasing vehicle availability and operational efficiency. Their optimized design also enables higher payload capacity while reducing vehicle tare weight, helping transport more product per journey, improve route efficiency and contribute to lower fuel consumption and reduced carbon intensity. The deployment further strengthens GEODIS' expertise in transporting industrial gases and supports the company's ambition to continuously modernize its fleet in line with evolving customer needs and market expectations. Marc Vollet, Executive Vice-President European Road Network at GEODIS Group, said: "At GEODIS, innovation and operational excellence go hand in hand. The deployment of these next-generation CO₂ tankers demonstrates our commitment to continuously improving safety, efficiency and the environmental performance of our transport solutions. By investing in modern equipment and advanced technologies, we are strengthening our ability to support customers in the industrial gas
Middle-Mile Autonomous Delivery (B2B Road) Market : Global Industry Analysis and Opportunity Assessment, 2036 Middle-Mile Autonomous Delivery (B2B Road) Market is segmented by Vehicle Type, Application, Component, End-use, Business Model, and Region. Forecast period from 2026 to 2036 - Market Size (2026): USD 490.0 Mn - Forecast (2036): USD 14173.0 Mn - CAGR (2026 to 2036): 40.0% How big is Middle-Mile Autonomous Delivery (B2B Road) Market in 2026? USD 490.0 million in 2026 and USD 14,173.0 million by 2036 at a 40.0% CAGR. Sales in middle-mile autonomous delivery (B2B road) market is projected to expand at 40.0% CAGR from 2026 to 2036, pushing valuation from USD 490.0 million in 2026 to USD 14,173.0 million by 2036. Industry expansion is driven by repeated freight movements between facilities with controlled loading points and planned departure windows. Gatik reported in January 2026 that its fleet had completed more than 60,000 fully driverless commercial orders since mid-2025. The operating record shows that autonomous trucks can move beyond demonstration work once route design and service responsibility are stable. Commercial growth therefore depends on converting tested corridors into recurring capacity contracts with measurable delivery performance. Country readiness differs across operating models because freight networks and approval systems solve different commercial problems. China has established extensive commercial mileage through series-produced autonomous trucks, whereas Japan is coordinating manufacturers and infrastructure operators around expressway relay routes. Loading bays and gate procedures still determine daily uptime in both markets, which links vehicle performance with automated material handling systems inside each facility. Einride reported in October 2025 that it had raised about USD 100 million to expand autonomous freight deployments and technology development. The investment shows why route expansion requires capital for vehicles, remote operations, and customer integration rather than software alone. Summary of the Middle-Mile Autonomous Delivery (B2B Road) Market
Autonomous Mining Haulage (Surface) Market : Global Industry Analysis and Opportunity Assessment, 2036 Autonomous Mining Haulage (Surface) Market is segmented by Equipment, Commodity, Component, End Use, Sales Channel, and Region. Forecast period from 2026 to 2036 - Market Size (2026): USD 2.9 Bn - Forecast (2036): USD 14.5 Bn - CAGR (2026 to 2036): 17.5% How big is Autonomous Mining Haulage (Surface) Market in 2026? USD 2.9 billion in 2026 and USD 14.5 billion by 2036 at a 17.5% CAGR. Demand for autonomous mining haulage (surface) is expected to push industry value from USD 2.9 billion in 2026 to USD 14.5 billion by 2036 at a 17.5% CAGR, driven by production-scale fleet conversions. Caterpillar reported in April 2025 that its 65-tonne Cat 775 was engineered to enable future autonomous capability and was planned for introduction during 2026. The product development extends autonomy planning into quarry-class haulage, where smaller fleets and shorter shifts change the commercial case. The surface mining equipment market therefore depends on integrated route control and site support rather than isolated vehicle automation. Country programs reflect different operating priorities across surface mines and quarries that are converting active production routes. China is pairing electric fleets with battery swapping and communications control, whereas United States quarry programs rely more heavily on dealer-backed conversions and formal safety plans. Mine engineering teams compare road geometry with radio coverage before approving each route for daily production. At a 2026 market value of USD 2.9 billion, commercial returns depend on funding control rooms and commissioning work alongside the trucks. The smart mining market faces the same integration test across connected production assets and operating teams. Capital returns weaken if autonomy-ready vehicles enter service without the operating support required for reliable production. Summary of the Autonomous Mining Haulage (Surface) Market | Market Signal |
Over the past two years, more than a dozen "first listed stocks" in the autonomous driving track have emerged, and the autonomous driving industry is still struggling desperately to achieve profitability. On October 25, 2024, WeRide went public on the NASDAQ. Bearing the halo of "the world's first publicly listed company for general autonomous driving", its stock price triggered circuit breakers twice on the first trading day, with a maximum intraday increase of over 27%. Just one month later, Pony.ai also landed on NASDAQ, claiming the title of "the first publicly listed Robotaxi company". In the following two years, China's autonomous driving industry ushered in an unprecedented wave of IPOs. Hesai, known as "China's first publicly listed LiDAR company", UISEE as "the first publicly listed company for full-scenario L4 autonomous driving", CIDI as "the world's first publicly listed company for unmanned mining trucks", Huayu as "the first publicly listed company for integrated cabin-driving solutions", In-Driving as "the world's first publicly listed company for unmanned mining operations", and Momenta as "the first publicly listed Physical AI company"... The titles became increasingly resounding, and the "first publicly listed" label almost became a standard feature of listed companies. However, when the hustle and bustle faded away, these "first publicly listed" companies with halos above their heads faced drastically different fates in the capital market. The Feast of "First Publicly Listed" Titles The curtain for autonomous driving company IPOs was raised in 2023. In February of that year, Hesai took the lead in launching its IPO on NASDAQ, entering the U.S. stock market as "China's first publicly listed LiDAR company"; on December 20 of the same year, Zhixing Technology listed on the Hong Kong Stock Exchange at an issue price of HK$29.65 per share, winning the title of "the first publicly listed autonomous driving
PACCAR stock trades steady as truck maker balances strong 2025 earnings with electrification costs Published on 07/27/2026 at 10:11 | Editorial responsibility: Rafael Müller, Editor-in-Chief AD HOC NEWSPACCAR stock continues to reflect a balance between strong recent earnings and rising investment needs in low emission and autonomous trucks. PACCAR Inc. (ISIN US6937181088) reported solid profitability in its latest available annual results, underlining the truck maker's ability to generate cash and sustain dividends even as it invests heavily in future drivetrains. Revenue growth and margin resilience According to PACCAR's published financial information for fiscal 2025, the company delivered annual revenue of around $35 billion, supported by robust demand for heavy duty trucks and aftermarket services. In the prior year, revenue was closer to $32 billion, implying growth of roughly 9% year on year. The increase was driven by higher unit deliveries across the Kenworth, Peterbilt and DAF brands and by pricing actions that helped offset input cost inflation. PACCAR's operating margin remained resilient even as the company spent more on research and development for low and zero emission vehicles. In fiscal 2025, operating income was approximately $5.5 billion, up from about $4.8 billion in 2024. That translates into an operating margin in the mid-teens percentage range, slightly above the previous year despite higher labor and battery costs. The margin performance suggests that higher value services and disciplined cost control are compensating for new technology expenses. Net income, cash flow and dividends The truck maker also reported solid net income in its latest annual results. Net profit in 2025 was around $4 billion, versus roughly $3.4 billion a year earlier, an increase of about 18%. The growth in bottom line earnings outpaced revenue expansion, indicating that PACCAR is managing its manufacturing footprint and supply chain more efficiently as volumes grow. For investors,
McLane Company, the Berkshire Hathaway subsidiary that distributes food to restaurants and retailers, ran a three-year pilot with Aurora Innovation that wrapped in 2023 after logging more than 280,000 autonomous miles and 1,400 loads with a 100% on-time delivery record. The pilot has since converted to fully driverless commercial runs between Dallas and Houston. By any measure, that’s a real product, not a demo. It’s also a hybrid product, and the hybrid part rarely makes the headline. Aurora’s trucks haul the middle-mile distance between McLane’s distribution centers. Human drivers still handle the local deliveries on each end. Strip away the press release language and the actual claim is narrower than “driverless trucking”: a truck can now drive itself across Texas highways without anyone in the cab, and a person still has to get the freight the rest of the way. That gap between the highway and everything around it defines where autonomous trucking actually stands. The highway portion is scaling fast, with real mileage, real customers, and real regulatory momentum behind it. The portion on either side of the highway, loading the truck and getting cargo to its final destination, has barely moved. Treating those as one story is why “driverless” coverage keeps overpromising, and untangling them is the only way to read the technology’s timeline accurately. The Highway Side Is Scaling Quickly Aurora currently runs roughly 109 trucks and plans to reach 200 by the end of 2026, with thousands projected within five years. A second route, built with Volvo Autonomous Solutions, now connects Dallas directly to customer facilities in Oklahoma City. That route runs on Volvo VNL Autonomous trucks paired with the Aurora Driver system, operating under supervised autonomy five days a week while the partnership works through what the companies describe as the final validation phase before
Abstract Effective risk analysis of dump truck failures is vital for enhancing reliability, minimizing downtime, and ensuring safety in mining operations. This study investigates failure modes of conventional dump trucks using three years of maintenance records from the Sarcheshmeh Copper Mine workshop, focusing only on mechanical and electrical failures (automation-related faults are outside the scope). Applying Pareto analysis and expert validation to key subsystems, a risk matrix was developed that identifies the engine as the dominant source of failures—accounting for 30% of incidents—followed by wheel and electrical systems. Primary engine failure mechanisms include power deficiency, coolant and oil leaks, and internal component malfunctions, all of which critically impair operational reliability. For each failure mode, targeted corrective actions were proposed (e.g., predefined sensor thresholds triggering alarms). Building on these findings, the study recommends tailored sensor and monitoring technologies to enable early fault detection and support preventive maintenance strategies for autonomous dump trucks. This sensor-based framework facilitates real‑time risk classification and effective mitigation. Grounded in empirical data, the proposed methodology provides a data‑driven, reproducible framework for improving safety and reliability, while acknowledging current limitations (static thresholds, autonomy‑failure exclusion) and future steps (predictive analytics). Acknowledgements The authors gratefully acknowledge the technical support provided by the Sarcheshmeh Copper Complex during field data collection and operational studies. Funding This work was supported by the National Iranian Copper Industries Company (NICICO) under Contract No. 2001174. Author information Authors and Affiliations Corresponding author Ethics declarations Competing interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Additional information Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0
Boeing does not consider relying on one large plant for producing MQ-28 Ghost Bat unmanned fighters a good idea. Instead they plan to deploy output at smaller enterprises in various countries. MQ-28 program head Glen Ferguson reported this at press briefing, Breaking Defense writes. It is noted that thus localization will be conducted according to specific operator requirements and scaling drone output massiveness. Also this will help user countries retain control over UAV production and ensure operation even under global supply chain unavailability conditions. Read more: Ukraine Downs Five Ballistic Missiles and Over 100 Drones During Overnight russian Attack Here specifically partnership with German Hensoldt was announced, which together with Rohde & Schwarz and Rheinmetall will deploy industrial base for Ghost Bat for Bundeswehr. Interestingly, Boeing noted urgency in unmanned fighter market, which can operate shoulder-to-shoulder with manned platforms. It is caused by russian-Ukrainian war and global rearmament trend. Defense Express notes defense company haste is quite understandable, as countries are currently ready to spend colossal funds on rearmament. Thus manufacturers do not want to lose existing window of opportunity while everyone prepares to counter China, rashists and other threats. Especially when competitors only grow more numerous, as British Brontanax was recently presented. Localization proposal in each country with adaptation to local requirements should help here too. Such control increase and local industry involvement is quite weighty argument, and in some cases — necessary condition. Also worth mentioning that in EU they strongly insist on priority of local defense-industrial products instead of purchasing American due to desire to reduce U.S. dependence. So with localization Boeing may try to increase its chances. Recall MQ-28 Ghost Bat is already tested and produced for Australia needs in Block 2 version, while recently updated Block 3 version was presented. Regarding weapons, unmanned fighter already
The frontier of physical AI is a Jenga game in a warehouse in San Leandro, California. That warehouse is occupied by Encord, a company that builds data tooling used to train AI models. Andrew Ceja is a pilot—the company’s term for its robotic trainers—and he’s carefully pulling wooden blocks from a tottering tower while wearing a headset with a camera that tracks what he sees. That alone is fairly common for collecting robot training data, but this headset includes sensors that measure his brain waves as he carefully disassembles the block tower. Encord is one of a small but growing number of startups betting the next real constraint on humanoid and warehouse robotics won’t be model architecture but instead the sheer scarcity of real-world physical training data. Rather than just helping robotics companies manage the data they have, Encord is building a business around manufacturing the data they don’t. The brain wave headset Ceja is wearing was built by Zander Labs, a German neuroscience startup that’s betting measuring brain activity — to deduce mental states like error, intent and surprise — can create a more useful data set to train models. Encord’s work with Zander is currently a trial run; Encord says the goal is to build an initial brain wave-tagged data set, run it through customer robotics models, and evaluate whether it actually improves performance before deciding whether to scale it up. Lucas Gehrke, a Zander neuroscientist supervising the work, says that the amount of brain activity used at any point during a given task offers clues for model builders trying to figure out when they need to deploy their highest-effort models. This is the “bleeding edge” of the effort to solve the robotics data bottleneck, according to Vineeth Velmurugan, Encord’s head of robot learning. A veteran of OpenAI’s
Ukraine's long-range drone strikes are becoming an increasingly serious challenge for russia. Defending such a vast territory with conventional air defense assets alone has proven extremely difficult, prompting Moscow to look for new ways to improve its counter-drone capabilities. One concept recently highlighted by russian media proposes creating a network of unmanned ground vehicles equipped with standardized combat modules and linked together through a centralized command-and-control system. Read more: Following Strike on Oil Refinery 15 km From Kremlin, russians Brought Pantsir System From the Front Lines to Protect Moscow, Signaling a Shortage of Air Defense Missiles Rather than deploying conventional unmanned ground vehicles fitted with remote weapon stations, the proposal envisions using fully autonomous Pantsir-S air-defense systems. One suggested platform is the recently unveiled KamAZ-65119 autonomous dump truck, whose testing russia announced earlier this year. Under the concept, Pantsir-S systems mounted on autonomous chassis could be deployed to protect rear-area infrastructure, patrolling pre-programmed routes without onboard crews. According to the proposal, a single operator could supervise a network of five to ten such vehicles. From Defense Express's perspective, the concept could address certain operational challenges, particularly the need for large numbers of trained crews to operate air-defense systems. At the same time, it is far from a comprehensive solution to russia's growing drone problem. It still requires sufficient numbers of Pantsir-S systems, which remain a limited resource. Moreover, experience has shown that even areas with some of russia's highest concentrations of air-defense assets remain vulnerable to Ukrainian drone strikes. For example, despite russia deploying large numbers of Pantsir systems around Moscow and its outskirts, Ukrainian drones have repeatedly struck military facilities and warehouses in the vicinity of the russian capital. More importantly, defeating drones depends on much more than interceptor systems alone. The effectiveness of any air-defense network also relies
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Welcome back to TechCrunch Mobility, your hub for the future of transportation and now, more than ever, the role AI is playing in it. To get this in your inbox, sign up here for free — just click TechCrunch Mobility! Tesla kicked off earnings season — at least for this sector — and the shareholder letter, along with Elon Musk’s remarks during the conference call, provided some pretty incredible disclosures I imagine have some investors concerned, or at least puzzled. Tesla has backed off previous promises to reach “volume production” of the Cybercab, Tesla Semi, and Megapack 3 in 2026. And while the company has publicly touted expansions of its Tesla Robotaxi service into new cities in Florida and Texas, the quarter-over-quarter data shows a drop in paid robotaxi miles. Senior reporter Sean O’Kane took a closer look at a graph shared in Tesla’s shareholder letter. At a passing glance, the chart appears to show steady growth in paid robotaxi rides between August 2025 and June 2026, O’Kane notes. But the numbers displayed are cumulative, and when broken down by quarter, they show that Tesla’s Robotaxi fleet of Model Y SUVs carrying paying passengers covered around 1.1 million miles in the first quarter. That fell to roughly 700,000 miles in the second quarter, a decline of about 36%. Musk also disclosed during the call that Tesla needs to accumulate driving data specific to the Cybercab before it can put large numbers of the vehicles on the road. That isn’t terribly surprising; the Cybercab is new, after all. But the reason got my attention. He explained that Tesla has to accumulate miles using Cybercabs retrofitted with steering wheels and accelerator and braking pedals so it can calibrate to the Cybercab chassis. This marks a change from the company’s previous claims. For