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YMX Logistics names fleet strategy, loss prevention leader

YMX Logistics named Adam Buttgenbach VP of fleet strategy and loss prevention, the yard management firm announced in a press release. YMX aims to leverage Buttgenbach’s background in fleet management, procurement discipline, operational leadership and transformation experience for its national expansion, COO Erin Mitchell said in the June 16 release. “Adam’s experience leading complex fleet organizations at enterprise scale, combined with his deep commitment to safety and operational excellence, makes him a tremendous addition to our leadership team,” Mitchell said. Buttgenbach has more than 20 years experience in logistics, procurement, maintenance and operational transformation, YMX said. He spent nearly eight years with PepsiCo in leadership roles, most recently as global procurement director of fleet transformation, according to his LinkedIn profile. In that role, Buttgenbach led PepsiCo’s fleet transformation initiatives, per the announcement. Prior to that, he held leadership roles with Custom Truck One Source and Brink’s where he led fleet modernization, acquisition integrations and operational improvements. The position at YMX was previously held by Chad Claude, who is now VP of distribution and fulfillment at Ruan Transportation Management Systems, according to his LinkedIn profile.

Automated Pallet <b>Truck</b> Market Set to Surge

Automated Pallet Truck Market Set to Surge - Key Insights You Must Know | Valuates Reports Automated Pallet Truck Market SizeThe global Automated Pallet Truck market was valued at USD 1401 Million in 2025 and is anticipated to reach USD 3290 Million by 2032, at a CAGR of 13.2% from 2026 to 2032. By Type • Load Capacity < 1 Ton • 1 Ton ≤ Load Capacity < 3 Tons • 3 Tons ≤ Load Capacity < 5 Tons • 5 Tons ≤ Load Capacity By Navigation Method • Laser Navigation • Inertial Navigation • Vision Navigation • Magnetic Stripe Navigation By Level of Automation • Semi-automatic Assisted • Fully Automatic Unmanned By Application • Warehousing and Logistics • Automotive Electronics Manufacturing • Food and Beverage Key Companies Mobile Industrial Robots (MiR), Meidensha Corporation, Mitsubishi Corporation (MC), Swisslog, Seegrid, Toyota, Big Joe Forklifts, LINAK, RoboCV, Vecna Robotics, Casun, Suzhou Dolphin Star Intelligent Technology, Wuxi Dalong Electric Machinery, Zhejiang Etouch Technology, EP Equipment Get Free Sample Report: https://reports.valuates.com/request/sample/QYRE-Auto-32A2257/China_Automated_Pallet_Truck_Market_Report_Forecast_2021_2027 Major Market Trends Executive Trend Summary The Automated Pallet Truck Market is experiencing strong growth as warehouses, manufacturing facilities, and distribution centers accelerate automation to improve productivity and address labor shortages. Three transformative trends are shaping the market: increasing adoption of autonomous material handling systems, rapid advances in intelligent navigation technologies, and deeper integration with smart warehouse ecosystems. These developments are enabling organizations to optimize intralogistics operations, reduce operational costs, and improve workplace safety. Warehouse Automation Accelerates Demand for Automated Pallet Trucks The rapid growth of e-commerce, omnichannel fulfillment, and high-volume distribution centers is driving widespread adoption of automated pallet trucks for repetitive material handling tasks. Autonomous pallet movement improves throughput while reducing dependence on manual labor. This trend matters because automated pallet trucks enable continuous operation, improve inventory movement efficiency, and reduce

<b>Driverless</b> cars are driving into active crime scenes and blocking fire <b>trucks</b>, regulators warn

Driverless cars are driving into active crime scenes and blocking fire trucks, regulators warn They also block the paths of ambulances. - US regulators warned self-driving car companies they must fix a pattern of vehicles blocking ambulances, driving into crime scenes, and ignoring emergency signals. - The National Highway Traffic Safety Administration documented cases where autonomous vehicles failed to recognize flashing lights, flares, smoke, and traffic cones. - NHTSA will hold meetings with self-driving companies by month's end to demand solutions, calling the failures a "functional insufficiency." - Incidents include Waymo vehicles blocking fire trucks in Dallas, striking a child in California, and passing stopped school buses in violation of law. The head of the US National Highway Traffic Safety Administration said Wednesday that self-driving car companies must quickly address a "clear pattern" of driverless vehicles interfering with law enforcement and other first responders. Jonathan Morrison, who heads the US vehicle regulatory agency, said in a letter to the industry that NHTSA has documented multiple instances of AVs driving into active emergency scenes, and other incidents when the vehicles "blocked the paths of ambulances and firefighters, or failed to recognize and respond to basic safety conditions like flashing lights, flares, smoke, fire, and traffic cones." "Let me be clear: the inability to detect and appropriately respond to such situations represents a functional insufficiency," he said in the letter. NHTSA said it would schedule meetings with vehicle developers by the end of the month to solicit solutions. It called on AV developers and operators to focus on fixing the problem. "An AV that cannot safely interact with first responders is a danger to the general public," the letter said. NHTSA did not identify any specific incidents, or name the companies receiving the letter. Local media in Texas reported a Waymo self-driving

Hanjin launches paid <b>autonomous</b> freight runs in South Korea

Hanjin said on the 9th that it will launch a paid transport service using Autonomous Driving cargo trucks. After completing a pilot project with a government grants research institute and obtaining a paid cargo transport permit from the Ministry of Land, Infrastructure and Transport, it applied the service to line-haul trucks. The service will operate three times a week over a 118-kilometer section, using a 25-ton (t) cargo truck from Gunsan Port in North Jeolla, through the Hanjin Jeonju parcel terminal, to the Daejeon mega hub. It is based on Autonomous Driving, but a safety agent will be seated in the driver's seat to intervene if needed. This service was carried out under the "Saemangeum autonomous transport commercial vehicle demonstration support infrastructure project." Hanjin signed a business agreement in September 2023 with JIAT, LX Spatial Information Research Institute, and the Korea Integrated Logistics Association to carry out the demonstration project. Hanjin supported actual logistics operation infrastructure and commercial transport volume, providing a practical foundation to verify how Autonomous Driving cargo vehicles can be effectively used in real logistics sites. JIAT handled the construction of Autonomous Driving demonstration road infrastructure and demonstration vehicles, while the LX Spatial Information Research Institute handled the construction of the Autonomous Driving control system. The Integrated Logistics Association was responsible for building the Autonomous Driving cooperation system and ensuring smooth operations. Through this project, Hanjin secured a state-of-the-art terminal system equipped with control and perception equipment that enables Autonomous Driving cargo trucks to independently perform processes from entering the parcel terminal and waiting to accessing the loading bay. It also expects to preemptively secure real-world cargo transport operating know-how targeting the future logistics market by accumulating Autonomous Driving-based transport data and diverse operational experience on actual roads. A Hanjin official said, "Taking this first commercial transport

U.S. Regulators Demand <b>Self-Driving</b> Cars Address Interference with Emergency Vehicles-

From:Internet Info Agency 2026-07-09 07:36:07 Jonathan Morrison, head of the U.S. National Highway Traffic Safety Administration (NHTSA), recently sent a letter to the autonomous vehicle industry highlighting multiple incidents in which self-driving vehicles interfered with law enforcement and first responders carrying out their duties, and urged companies to address the issue promptly. NHTSA has documented cases of autonomous vehicles entering emergency scenes, blocking ambulances and fire trucks, and failing to recognize basic safety cues such as warning lights, signal flares, smoke, fire, and traffic cones. Morrison emphasized that such behavior indicates functional deficiencies in these systems and poses a danger to the public if the vehicles cannot safely interact with emergency personnel. NHTSA plans to meet with autonomous vehicle developers by the end of this month to solicit solutions and has asked both developers and operators to treat this issue as a top priority. According to media reports, in late May, a Waymo autonomous vehicle partially blocked a fire truck responding to a blaze in Dallas, Texas. Previous incidents have also involved Waymo vehicles obstructing ambulances and driving through active police scenes. Currently, NHTSA and the National Transportation Safety Board (NTSB) are separately investigating two incidents involving Waymo: one in which a Waymo vehicle drove past a stopped school bus with its warning lights activated—potentially violating Texas state law—and another that occurred on January 23 in a school zone in Santa Monica, California, where a Waymo autonomous vehicle struck a 9-year-old girl who had run out from behind a double-parked SUV to cross the street on her way to school. Changan Qiyuan Q06 Official Images Released: Mid-to-Large All-Electric SUV Launching in September Jaguar Land Rover Halts Domestic ICE Production, Shifts to EV Contract Manufacturing Czech Billionaire Aims to Buy 14% of Pirelli to Reduce Chinese Stake Hungary to Crack Down

Ashok Leyland Plans <b>Autonomous</b> Stallion <b>Trucks</b> to Transform Logistical Operations for the ...

Commercial vehicle giant Ashok Leyland is set to revolutionize the military transport sector through the integration of next-generation technologies. As India’s second-largest commercial vehicle maker and a major global bus producer, the company is currently developing a driverless variant of its famous Stallion truck. Long considered the primary logistics workhorse of the Indian Armed Forces, the Stallion's transition to an autonomous platform highlights a major strategic leap toward futuristic military mobility. Transforming this battle-tested truck into an autonomous machine is no simple task, according to Amandeep Singh, President of the Defence Business at Ashok Leyland. He confirmed that the complex, forward-looking engineering project is underway and will heavily rely on advanced connected-vehicle networks. Once deployed, these self-driving platforms are designed to manage vital supply chains and support critical front-line missions. This shift aims to dramatically improve operational speed while keeping soldiers out of harm's way during dangerous supply runs. The Indian Army currently relies on a massive fleet of 60,000 to 75,000 Stallion trucks, cementing its role as the absolute backbone of the military's logistical framework. Upgrading from standard, heavy-duty transport to intelligent, automated systems represents a historic technological shift for the armed forces. Built in various versatile configurations, including 4x4 and 6x6, the Stallion has historically proven its durability in some of the most unforgiving environments on the subcontinent, ranging from freezing high-altitude mountain passes to scorching deserts. Introducing self-driving logistics vehicles into the battlefield offers revolutionary tactical advantages. It minimizes the need for human drivers in highly contested combat zones, ensures a steady flow of supplies even under enemy fire, allows commanders to track fleet movements in real time, and ultimately boosts overall force protection. To further build on this, Ashok Leyland is actively exploring drone-based logistics and is reportedly developing a hydrogen-fuel-powered Stallion in collaboration with domestic

Engine Makers Update DEF Software to Reduce <b>Truck</b> Downtime

Cummins and PACCAR are updating diesel engine software to give truck operators more time to address certain diesel exhaust fluid system issues before vehicles reach the most restrictive operating limits. The updates follow revised U.S. Environmental Protection Agency guidance on DEF inducements, which are safeguards that reduce vehicle speed and power when emissions system problems are detected. The changes do not remove emissions compliance requirements, and vehicles with emissions component issues must still be repaired. Cummins is updating certain engine calibrations to provide operators with more time to complete needed repairs and help reduce unnecessary downtime related to DEF inducements. The revised calibrations increase the time before certain DEF-related inducements occur and increase final inducement speeds in some circumstances. The updates extend the time to initial and later derate events for certain tampering and DEF quality conditions, while also increasing the final derate speed from 5 mph to 25 mph. According to Cummins, the updates are intended to provide additional operating flexibility while maintaining emissions system requirements. Cummins has begun offering revised calibrations for more than 1.5 million engines in medium- and heavy-duty trucks, including certain truck applications dating back to model year 2017 and certain motorcoach applications dating back to model year 2018. Timing will vary by engine platform and model year. Customers can contact a local Cummins distributor or dealer to schedule available updates. PACCAR also announced updated software for vehicles equipped with PACCAR MX-11 and MX-13 engines. Trucks manufactured after July 20, 2026, will have the software installed at the factory, and trucks built after 2018 will be eligible for the updates at Peterbilt and Kenworth dealerships. These changes will increase the final inducement speed limit from 5 mph to 25 mph and extend the timeline from four hours to 160 hours for component-related or fluid-quality issues

Kodiak AI (KDK)

Kodiak AI (KDK) Market Price (7/9/2026): $5.12 | Market Cap: $902.9 MilSector: Information Technology | Industry: Systems Software Kodiak AI (KDK) Market Price (7/9/2026): $5.12Market Cap: $902.9 MilSector: Information TechnologyIndustry: Systems Software Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum. | Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -57% Megatrend and thematic driversMegatrends include Future of Freight, and Electric Vehicles & Autonomous Driving. Themes include Autonomous Trucks, and Autonomous Driving Technology. | Weak multi-year price returns2Y Excs Rtn is -67%, 3Y Excs Rtn is -100% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -132 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -3173% Expensive valuation multiplesP/SPrice/Sales ratio is 216x Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -74% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 559% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -2585%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -3192% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -52% Key risksKDK key risks include [1] its precarious financial viability, Show more. | | Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -57% | | Megatrend and thematic driversMegatrends include Future of Freight, and Electric Vehicles & Autonomous Driving. Themes include Autonomous Trucks, and Autonomous Driving Technology. | |

Momenta goes public in Hong Kong, fueling next phase of physical AI expansion

Gasgoo Munich- Autonomous driving technology company Momenta began trading on the Main Board of the Hong Kong Stock Exchange on July 8, 2026, under the ticker 6880.HK, marking a significant milestone in the company's expansion as it accelerates the commercialization of physical AI technologies. Image source: Momenta The IPO was priced at HK$295.6 per share. Assuming the full exercise of the over-allotment option, the global offering comprised approximately 22.93 million shares, raising about HK$6.8 billion. Investor demand was particularly strong, with the Hong Kong public offering reportedly oversubscribed by 414 times. On the international tranche, institutional orders exceeded HK$100 billion, attracting sovereign wealth funds and long-term investors from 15 countries and regions. Excluding cornerstone investors and before the greenshoe option, the international offering was around 44 times oversubscribed. Founded in 2016, Momenta has positioned itself as a developer of physical AI technologies, with a strategy centered on applying artificial intelligence to real-world mobility. The company's technology stack is built around a proprietary world model and a data-driven learning framework, supporting two complementary businesses: intelligent driving solutions for mass-produced passenger vehicles and autonomous mobility platforms designed for large-scale deployment. Together, these initiatives are intended to accelerate the adoption of AI beyond the digital world and into everyday transportation. The company says more than one million production vehicles equipped with its intelligent driving system are now on the road. Its technology has been launched across more than 100 production models, while design wins have surpassed 210 vehicle programs. Momenta also reports partnerships spanning many of the world's leading automotive manufacturers, reflecting the industry's growing demand for scalable assisted and autonomous driving technologies. Earlier this year, Momenta introduced its R7 world model into mass production, describing the launch as a key step toward broader deployment of physical AI. Looking ahead, the company aims

Aurora to Host Second Quarter 2026 Business Review Conference Call on July 29, 2026

Aurora to Host Second Quarter 2026 Business Review Conference Call on July 29, 2026 Published Wednesday, July 8, 2026 | 6 a.m. Updated Wednesday, July 8, 2026 | 6:03 a.m. PITTSBURGH--(BUSINESS WIRE)--Jul 8, 2026-- Aurora Innovation, Inc. (NASDAQ: AUR) today announced it will release second quarter 2026 results after market close on July 29, 2026 and will host a business review conference call that day at 5:00 p.m. Eastern time. The conference call will be webcast on Aurora’s investor relations website at ir.aurora.tech . A replay of the webcast will be available for 30 days following the call. About Aurora Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling trucks to ride-hailing passenger vehicles, and underpins Aurora’s driver as a service product for trucking. Aurora is working with industry leaders across the transportation ecosystem, including AUMOVIO, FedEx, Hirschbach, McLane, NVIDIA, PACCAR, Ryder, Schneider, Toyota, Uber, Uber Freight, Volvo Trucks, Volvo Autonomous Solutions, and Werner. To learn more, visit aurora.tech . Aurora Overview Aurora Press Kit View source version on businesswire.com: https://www.businesswire.com/news/home/20260708287511/en/ CONTACT: Investor Relations: Stacy Feit KEYWORD: PENNSYLVANIA UNITED STATES NORTH AMERICA INDUSTRY KEYWORD: AUTONOMOUS DRIVING/VEHICLES AUTOMOTIVE TRUCKING AUTOMOTIVE MANUFACTURING GENERAL AUTOMOTIVE VEHICLE TECHNOLOGY TRANSPORT MANUFACTURING SOURCE: Aurora Innovation, Inc. Copyright Business Wire 2026. PUB: 07/08/2026 09:00 AM/DISC: 07/08/2026 09:03 AM http://www.businesswire.com/news/home/20260708287511/en

Felixstowe grows <b>self-driving truck</b> fleet to 100

Port of Felixstowe has ordered a third batch of self-driving trucks from Westwell, increasing its fleet of self-driving vehicles autonomous truck fleet to 100. The new fully electric vehicles, which will operate in busy mixed-traffic container terminal operations at Felixstowe, incorporate enhanced sensor and perception technology, including 128-line LiDAR and advanced camera systems This provides a more detailed understanding of the operating environment and supports safe, accurate and reliable operation. The investment also includes a second automated battery swapping station. Felixstowe’s existing station enables autonomous trucks to exchange depleted batteries for fully charged units in five to six minutes, helping to maximise fleet availability and minimise operational disruption. Supporting this capability is the port’s private 5G network, one of the largest industrial private 5G deployments in the UK. The network provides fast, secure and highly reliable communications, enabling real-time connectivity between autonomous trucks, control systems and terminal infrastructure, ensuring safe, efficient and responsive operations across both autonomous and conventional equipment. Felixstowe has used only electricity certified as being from renewable sources since April 2023, and the bigger fleet will help the port meet its target of achieving Net-Zero for Scope 1 and 2 emissions by 2035. Kenny Tan, Founder and Chairman of Westwell, said: “This latest order marks another important milestone in our partnership and reflects the confidence Felixstowe has placed in Westwell’s technology, products and operational support. “With 100 autonomous trucks in operation, the Port of Felixstowe is Europe’s leading port for the deployment of autonomous vehicles at scale in live terminal operations.”

EU's new 'real establishment' test could shake up drivers' social security

EU institutions have been working on the revision since 2016. In a vote held on 7 July, the European Parliament approved the text by 511 votes in favour, with 87 against and 61 abstentions. The package still needs formal approval by the Council of the European Union and publication in the Official Journal of the European Union. Under the current timeline, the new rules would apply after a 24-month transition period, meaning they are expected to take effect around September 2028. Why the establishment test matters for international haulage The reform is designed to make social security rights easier to carry between member states and to strengthen enforcement against abuses, including so-called letterbox companies. For international hauliers, however, one issue stands out: how a company’s actual place of establishment will be assessed for social security purposes. One of the new factors is expected to be where a company generates its turnover. That could prove sensitive in road transport, where operators often provide services across several member states while keeping their registered seat, vehicles, payroll, administration and management in another country. In practice, an international transport company may be legally and operationally established in one member state, while a large share of its revenue is generated abroad through bilateral transport, cabotage or cross-trade operations. If turnover becomes an important factor in determining establishment, the sector fears this could trigger disputes over which country’s social security system should apply. Transport i Logistyka Polska, an employers’ association, has warned that the change could have significant consequences for international road carriers. “Around 40 percent of the revenue of Polish international road carriers comes from the export of services, cabotage and cross-trade. That means the place where turnover is generated for companies providing these services is the territory of the countries where the work is

China's <b>Autonomous</b> Driving Startup Momenta Lists in Hong Kong, Plans to Invest ¥120 ...

China's Autonomous Driving Startup Momenta Lists in Hong Kong, Plans to Invest ¥120 Billion in AI Technology Chinese autonomous driving startup Momenta made its debut on the Hong Kong Stock Exchange on July 8, trading under the stock code 6880.HK. The company, which provides AI-powered driver assistance systems for mass-production vehicles, plans to invest approximately ¥100 billion (approximately $615.4 million) of the proceeds from its initial public offering (IPO) into autonomous driving technology development, aiming to strengthen its competitiveness in the global market. Momenta's shares closed above the IPO price on the first day of trading. Total funds raised through the public offering and related share issuance reached approximately HK$6.8 billion (approximately $738.5 million), assuming full exercise of the greenshoe option. The IPO price was set at HK$295.6 per share, with the retail tranche attracting an overwhelming 414 times oversubscription. The international placement for institutional investors also drew orders exceeding HK$100 billion from sovereign wealth funds and long-only funds across 15 countries and regions, resulting in an oversubscription ratio of approximately 44 times. At the listing ceremony, founder and CEO Cao Xudong stated, "We have set forth three decade-long visions: to save one million lives in ten years, to liberate 100% of people's driving time in ten years, and to double logistics and mobility efficiency in ten years." Cao further emphasized, "We are already providing over one million users with a safer and more secure driving experience." Momenta's mass-production track record continues to expand rapidly. The number of mass-production vehicles equipped with the company's systems has surpassed one million units, covering more than 100 production models. The cumulative number of vehicle models designated for its technology exceeds 210. In April 2026, the company deployed its next-generation core technology, the "Momenta R7 World Model," in a mass-production vehicle for the first

CATL-backed <b>autonomous</b> mining <b>truck</b> firm Eacon jumps 14% in Hong Kong debut

- Eacon shares rose 14% to HK$100.6 as of press time, giving the company a market value of HK$14.8 billion. - Founded in 2018, Eacon focuses on the commercial deployment of L4 autonomous driving solutions for mining sites. Eacon Mining Technology (HKEX: 7687), a provider of autonomous driving solutions for mining sites backed by CATL (HKEX: 3750), surged on its Hong Kong trading debut on Wednesday, after its public offering was oversubscribed by about 157.82 times. The stock opened at HK$91, up roughly 3.5% from its offer price of HK$87.92. As of press time, gains widened to about 14.31%, at HK$100.6 per share, bringing the company's market value to HK$14.8 billion. The company offered about 26.13 million shares in its global offering, raising total proceeds of about HK$2.3 billion, with net proceeds of about HK$2.18 billion. The offering drew 11 cornerstone investors, who together subscribed for about $146 million worth of shares, or about 49.8% of the total offer shares. Those investors included Zijin Mining's ZIJINNING, Fidelity International, JPMorgan's JPMAMAPL and Barings, among other domestic and international institutions. Founded in 2018, Eacon focuses on the commercial deployment of L4 autonomous driving solutions for mining sites. As of December 31, 2025, the company had deployed 2,580 active autonomous mining trucks. Measured by the number of active autonomous mining trucks, Eacon ranked first in China's market for mining-site autonomous driving solutions, with a 55.5% share. Its fleet of autonomous mining trucks deployed at a single mining site has exceeded 500, the largest such fleet deployed at a single site globally, according to its prospectus. The penetration rate of autonomous mining trucks in China is expected to rise from about 12% in 2025 to more than 50% by 2030, according to data from Frost & Sullivan. Eacon's revenue grew 45.5% year-on-year in 2025

5 Things to Know About Tesla Semi FSD Validation Testing

Tesla Semi trucks equipped with Full Self-Driving validation hardware have been spotted on California roads again — and the frequency of these sightings suggests the program is well past early exploration. Here's what the latest footage reveals and what it tells us about where autonomous trucking is headed. 1. These Sightings Are Becoming Routine — and That's Significant The Tesla Semi spotted this week is far from an isolated case. According to multiple reports, validation-equipped Semis were observed on public roads in Sunnyvale, Palo Alto, and Fremont across at least four separate dates in June 2026 alone — June 20, 21, 24, and 27. When a test program reaches this kind of cadence on public roads, it typically signals a transition from early feasibility work to structured data collection. Tesla isn't just checking whether FSD can run on a Class 8 truck; it's actively building the dataset to make it work reliably. 2. The Hardware Configuration Points to Production Intent The validation equipment visible on these Semis isn't prototype-only gear. The trucks are running a suite of 10 external cameras with camera washers — a configuration consistent with production-intent autonomous sensor hardware. Tesla is also using Hardware 4 (HW4) as the FSD compute platform on the Semi, the same generation Elon Musk described in April 2026 as sufficient for achieving "much better than human safety for FSD" in passenger vehicles. Samsung serves as the exclusive camera supplier for the Semi platform. The fact that these are production-spec components, not bolted-on research rigs, matters: Tesla is validating the system it actually plans to ship. 3. The FSD Model Is Being Rebuilt From Scratch for Trucking Tesla isn't simply porting its passenger-car FSD stack onto the Semi and calling it done. According to background research, Tesla is remodeling its FSD AI specifically

Stock Jumps 9% on Opening, Hits 12B Yuan Market Cap Despite 1.2B Yuan 3-Year Total Loss

The mining truck L4 company invested by CATL went public, with its stock price surging over 9% at opening and a market capitalization reaching 12 billion yuan, despite accumulating a total loss of 1.2 billion yuan over the past three years. The mining autonomous driving company backed by CATL has officially gone public! Che Dong Xi July 8 news, just now, Inceptio Mining Technology Co., Ltd. (referred to as "Inceptio Mining") has officially listed on the Hong Kong Stock Exchange. The final IPO offering price was set at HK$87.92 (approximately RMB 76.17) per share, with a total of 26.132 million shares issued. Its total global fundraising amount is approximately HK$2.298 billion (approximately RMB 1.99 billion), and the net proceeds amount to HK$2.175 billion (approximately RMB 1.884 billion). After the market opened, Inceptio Mining's stock price once exceeded the offering price, trading at HK$91.1 per share (approximately RMB 78.92), representing a 3.62% increase, with a market capitalization of HK$13.471 billion (approximately RMB 11.67 billion), before its price began to pull back. ▲ Inceptio Mining's stock price at the opening of Hong Kong trading Half an hour after trading began, Inceptio Mining's share price saw strong growth, trading at HK$96 per share (approximately RMB 83.17), up 9.19%, with a market capitalization of HK$14.195 billion (approximately RMB 12.297 billion). ▲ Inceptio Mining's stock price half an hour after Hong Kong market opening As of press time, Inceptio Mining's share price has seen a slight pullback, trading at HK$93.05 per share (approximately RMB 80.61), up 5.83%, with a market capitalization of HK$13.759 billion (approximately RMB 11.92 billion). ▲ Inceptio Mining's stock price as of press time Founded in 2018, Inceptio Mining focuses on the commercial deployment of autonomous driving solutions for mining sites. As of December 31, 2025, the company has deployed 2,580 active

Felixstowe <b>autonomous truck</b> fleet to reach 100 units | trans.info

Hutchison Ports says the latest order builds on the successful use of autonomous trucks in mixed-traffic container terminal operations at Felixstowe — a deployment the port describes as the first of its kind in Europe. The battery-electric trucks operate inside the terminal, moving containers between quay cranes, yard areas and other parts of the port. Their expansion marks another step in Felixstowe’s automation programme, as the UK’s largest container port looks to increase consistency, cut emissions and support future terminal capacity. Third batch completes 100-unit fleet The latest order follows earlier phases of deployment with Westwell. Felixstowe and the Chinese technology company first announced an agreement for 100 battery-powered autonomous Q-Trucks in 2023, after a tender process and on-site testing. A further 34 autonomous trucks were ordered in 2025, doubling the fleet at the time. The newly confirmed third batch will now take the number of autonomous trucks at the port to 100. According to the port, the trucks are being introduced into a live terminal environment where they operate alongside conventional vehicles and equipment, rather than in a fully separated automated zone. This mixed-traffic model is one of the reasons the deployment is being watched closely by the wider ports and logistics industry. New sensors and second battery-swapping station The next batch will include upgraded sensor and perception systems, including 128-line LiDAR and advanced camera technology. The port says this will give the vehicles a more detailed understanding of their surroundings and support safe and reliable operation in a busy terminal environment. Felixstowe is also adding a second automated battery-swapping station. The existing station can replace a truck battery in around five to six minutes, allowing the vehicles to remain in operation with limited downtime. The trucks are supported by the port’s private 5G network, which provides real-time connectivity

Cummins, Paccar Ease DEF Derates After EPA Guidance | Heavy Duty Trucking

Engine Technology Forum Launches SCR, DEF Resource Center Amid Emissions Debate Cummins, Paccar Ease DEF Derates After EPA Guidance Updated diesel engine software gives truck operators more time to address emissions-system issues while staying compliant with EPA emissions standards. - Cummins and Paccar have adjusted their diesel engine software following new guidance from the EPA. - The updated software allows truck operators extended time to solve emissions-system problems. - Compliance with EPA emissions standards is maintained under the new adjustments. *Summarized by AI Cummins and Paccar announced software changes to their diesel engines to allow truckers to continue to operate longer after a truck’s sensors have determined an empty diesel exhaust fluid tank or other emissions system problems. They join Daimler Truck North America, which recently announced changes to Detroit engines, in making changes to reflect revised Environmental Protection Agency guidance on DEF inducements. Diesel exhaust fluid is used in selective catalytic reduction technology to convert nitrogen oxides (NOx) in engine exhaust into nitrogen and water, helping meet EPA emissions standards. DEF inducements are safeguards that reduce vehicle speed and power when emissions system issues are detected. Common issues include low DEF levels or reduced selective catalytic reduction system performance. They prompt, or "induce," drivers to correct the issue by refilling the DEF tank, repairing faulty sensors, or performing a system regeneration. These are commonly known as "DEF derates." What EPA Said About DEF Derates Last August, the EPA announced new guidance for manufacturers to increase the time truckers have to refill the DEF tank or make repairs. The agency also announced that starting with model year 2027, all new diesel on-road trucks must be engineered to avoid sudden and severe power loss after running out of DEF. To address the problem for vehicles already in use, EPA’s guidance allowed

LiuGong 9200F for Jiangxi Copper: fleet planning and support notes for mines

LiuGong 9200F for Jiangxi Copper: fleet planning and support notes for mines Reviewed by Joe Ashwell First reported on International Mining – News 30 Second Briefing LiuGong has delivered its 200 t class 9200F ultra-large hydraulic excavator, its largest mining unit to date, to Jiangxi Copper Group for frontline deployment in open-pit metallic mining. The 9200F targets high-end hard-rock operations traditionally dominated by foreign OEMs, signalling Chinese manufacturers’ push into larger-size classes for primary loading fleets. For mine planners and maintenance teams, the move widens options for domestic sourcing of ultra-large excavators, with potential implications for fleet standardisation, parts logistics, and lifecycle support in Chinese copper pits. Technical Brief - Unit is classed at 200 t operating weight, placing it in the ultra-large excavator segment. - Similar domestic ultra-large units could enable Chinese mines to standardise fleets around locally supported platforms. Our Take In our database, LiuGong’s recent launches – from the ultraclass hybrid wheel loader and 127 t autonomous truck (June 2, 2026) to the DR50CE battery-electric rigid truck (June 29, 2026) – indicate a deliberate move up into high-payload mining fleets, with this 200 t-class 9200F excavator filling a key ultra-large loading slot in that line-up. The delivery of a 200 t-class excavator to Jiangxi Copper Group gives LiuGong a reference in large open-pit metal mining, which is likely to be strategically valuable as it faces trade barriers such as the UK anti-dumping tariffs on Chinese-built excavators upheld in January 2026. Across the 2409 tag-matched ‘Projects’ and ‘Product’ pieces in our coverage, LiuGong is one of the few Chinese OEMs consistently appearing in both quarrying (e.g. Holcim UK’s 870HE loader deployment) and large-scale mining contexts, signalling an effort to position its heavy equipment as a full-fleet alternative to established Western suppliers. Prepared by collating external sources, AI-assisted tools,