Just took the Cybertruck out for a chill drive on FSD 14.1.7—light rain sprinkling down, wipers on auto, and this beast handled it like it was sunny skies.Smooth lane changes, perfect speed adjustments around puddles, no interventions needed.Tesla’s come a LONG way.Who’s ready for unsupervised? ...

Summary of the China Logistics Sector Conference Call Industry Overview - **Industry**: China Logistics Sector - **Focus**: Impact of autonomous driving (AD) technologies on logistics, particularly through the use of robovans and robotrucks [1][3] Key Insights - **Market Potential**: The logistics industry in China is expected to see a significant transformation due to the adoption of autonomous driving technologies, with estimates suggesting a potential 200 basis points (bp) increase in net profit margin (NPM) [1] - **Fleet Expansion**: The total fleet size of robovans and robotrucks is projected to grow from approximately 5,000 units to around 40,000 units by the end of 2025, indicating a three to six-fold increase [3][4] - **Cost Reduction**: The integration of robovans and robotrucks is anticipated to lower parcel logistics costs by about 10% from 2024 to 2030, which could enhance NPM by 2% and return on equity (ROE) by 5% [3][5][7] Technological Advancements - **Robovan Deployment**: Robovans are currently being tested in over 100 cities in China, with a focus on short-haul transport. They have achieved a 45% cost saving compared to traditional minivans [4][5] - **Robotruck Capabilities**: Robotrucks are equipped with commercialized Level 2+ AD functions, which are expected to reduce costs by 10% compared to traditional trucks [4][5] Financial Metrics - **Profitability Outlook**: The combination of robovans and robotrucks could lead to profit increases of 17% to 130% for parcel firms compared to 2024 levels [5][7] - **Current Valuation**: Parcel companies are trading at a price-to-earnings (PE) ratio of 14x for 2026 estimates, reflecting a recovery in pricing since the recent price war [5][7] Market Dynamics - **Cost Structure**: Transportation accounts for over 54% of logistics costs in China, with short-haul and last-mile deliveries comprising 60% of total costs [10][12] - **Labor Challenges**: The logistics sector faces labor shortages, with couriers working long hours for low wages, complicating efforts to reduce delivery fees [19][24] Regulatory Environment - **Policy Support**: The Chinese government is promoting the integration of AI and autonomous driving in logistics, with several policies aimed at facilitating the deployment of unmanned vehicles [61][62][63] Competitive Landscape - **Preferred Companies**: J&T Global Express and STO Express are highlighted as preferred investments due to their potential for larger profit increases from AD solutions [3][5][7] - **Market Share**: Major parcel firms like ZTO and SF are rapidly expanding their fleets of robovans, with ZTO planning to introduce an additional 10,000 units [58][59] Challenges and Risks - **Technological Bottlenecks**: Despite advancements, robovans still face challenges such as the need for manual loading and unloading, and the requirement for detailed route mapping [60] - **Compliance Risks**: The operation of robovans is currently limited by road access rights, which are still being developed across various cities [61] Conclusion The China logistics sector is on the brink of a significant transformation driven by autonomous driving technologies, with substantial cost-saving potential and profitability improvements expected. However, challenges related to technology, labor, and regulatory compliance remain critical factors to monitor.

Core Insights - Tesla is entering an investment-heavy phase focusing on artificial intelligence, autonomous driving, and robotics as key growth engines [1] Capital Expenditure (Capex) Overview - For 2025, Tesla expects a capex of $9 billion, with $6.1 billion already spent in the first three quarters, indicating a projected $2.8 billion for Q4 [2] - Capex for 2025 is expected to be lower than 2024, but a significant increase is anticipated in 2026 as the company prepares for further growth [2][10] Key Investment Areas - The surge in capex will focus on three main areas: scaling AI initiatives (including the AI5 chip), ramping up Optimus production, and expanding vehicle and energy capacity (including Cybercab and Megapack programs) [3][4] - Tesla is building a vertically integrated supply chain for Optimus and will rely on Samsung and TSMC for AI5 chip production [4] Automotive Production Goals - Tesla aims to achieve an annual production capacity of 3 million units within the next two years, necessitating new tooling and factory investments [5][10] - The demand for Megapack remains strong, prompting Tesla to scale new products like MegaBlock and Megapack 4, which will require additional manufacturing investment [5] Financial Performance - In Q3 2025, Tesla recorded a free cash flow (FCF) of approximately $4 billion, a 46% increase year-over-year, with cash and equivalents totaling around $41 billion [6] - Elevated spending is expected to impact near-term free cash flow once the 2026 ramp begins, but it will establish a foundation for new revenue streams [6] Competitive Landscape - General Motors plans to invest $10-$11 billion in 2025, focusing on electric and autonomous technologies, while Ford projects around $9 billion for expanding its EV footprint [7][8] Stock Performance and Valuation - Tesla shares have declined by 0.5% year-to-date, contrasting with the industry's growth of 10% [9] - The stock trades at a forward price-to-sales ratio of 12.57, above both the industry average and its own five-year average, with a Value Score of D [11]

RT Tesla Owners Silicon Valley (@teslaownersSV)Cybertruck FSD 14.1.7 drove me 25 minutes from a parking garage to Starbucks.Super smooth ride, it even stopped backing up and yielded to another Tesla backing up.V14 has been a game changer. Can’t believe how far FSD has come. https://t.co/eo0VrHiOyl ...

Core Insights - WeRide and Grab have received official approval from Singapore's Land Transport Authority (LTA) to conduct autonomous driving tests in the Punggol area, marking a significant step in their collaboration for the Ai.R (Autonomously Intelligent Ride) project [1] - The Ai.R project aims to provide a public autonomous ride-hailing service, with plans to increase testing frequency by four times by the end of 2025 [1] - The project will feature a fleet of 11 autonomous vehicles, including 10 Robotaxi GXR and 1 Robobus, with public service expected to begin in early 2026 [1] Testing and Technology - During the road testing phase, autonomous vehicles will analyze real-time road data to localize their AI driving models, adapting to local infrastructure, traffic flow, and driver behavior [2] - Vehicles will be trained to handle various weather conditions to ensure reliable operation at all times, optimizing driving performance for safety and efficiency [2] - The Robotaxi GXR and Robobus are equipped with a perception system that provides 360° awareness, capable of detecting obstacles up to 200 meters away, even in adverse weather [2] Strategic Implications - The ongoing testing and technology optimization are foundational for the Ai.R project to launch publicly in early 2026, indicating a substantial advancement in the partnership between WeRide and Grab in Southeast Asia's autonomous mobility sector [5] - The collaboration aims to enhance local traffic conditions and travel demands through technological innovation, ultimately providing users with a safer and more efficient autonomous travel experience [5]

Building advanced LiDAR and photonics technologies to enable safety, security and autonomy for automotive, commercial and defense applications © 2025 Luminar Technologies, Inc. All rights reserved. | 2 Luminar Q3'25 Update November 13, 2025 Technology Key advantages of Luminar's technology platform include: | Eye Safety | Luminar's 1550nm platform can output more power than 905nm while remaining eye | | --- | --- | | | safe. More power means better range and resolution across conditions. | | Industry Leadin ...

Core Insights - WeRide and Grab have received approval from Singapore's Land Transport Authority (LTA) to conduct autonomous vehicle (AV) testing with the Ai.R fleet in the Punggol district [1][8] - The partners began AV testing in Punggol in mid-October 2025 and plan to increase the number of test runs by up to four times by the end of the year [2][8] - The Ai.R fleet consists of 11 AVs, including 10 GXRs and one Robobus, aimed at launching a public autonomous ride service in early 2026 [3][8] Company and Industry Overview - WeRide is recognized as a global leader in autonomous driving technology, having tested or operated vehicles in over 30 cities across 11 countries, and is the first publicly traded Robotaxi company [11] - Grab operates as a leading superapp in Southeast Asia, providing services across deliveries, mobility, and digital financial sectors, serving over 800 cities in eight countries [12] - The Ai.R service will connect residents to key amenities in Punggol, enhancing local transportation options [6][8] Testing and Development - The AVs are gathering real-world data to improve their AI driving models, focusing on local road infrastructure, traffic flows, and pedestrian behaviors [9] - The AVs are equipped with advanced sensors, including LiDARs and cameras, providing 360-degree vision and the ability to detect objects up to 200 meters away [9] - Safety Operators will be present during the testing phase to ensure real-time supervision and safety [5][10] Training and Talent Development - Grab and WeRide are training a cohort of over 10 experienced Grab driver-partners for Safety Operator roles, progressing from theory lessons to on-road training [10][8] - The training aims to build local talent for AV operations, supporting the rollout of the Ai.R service [10][8]

Core Insights - WeRide and Grab have received approval from Singapore's Land Transport Authority (LTA) to conduct autonomous vehicle (AV) testing with the Ai.R fleet in the Punggol district [1][7] - The AV testing program commenced in mid-October 2025 and aims to increase the number of test runs by up to four times by the end of the year [2][7] - The Ai.R service will be Singapore's first residential autonomous shuttle service, expected to begin public operations in early 2026 [3][6] Company Overview - WeRide is a global leader in autonomous driving technology, having tested or operated vehicles in over 30 cities across 11 countries, and is the first publicly traded Robotaxi company [11] - Grab operates as a superapp in Southeast Asia, providing services across deliveries, mobility, and digital financial sectors, serving over 800 cities in eight countries [12][15] Testing and Operations - The Ai.R fleet consists of 11 AVs, including 10 GXRs and one Robobus, designed to serve two dedicated shuttle routes in Punggol [3][6] - During testing, AVs gather real-world data to enhance AI driving models, focusing on local road conditions and user behaviors [8] - The AVs are equipped with a sensor suite for 360-degree vision, capable of detecting objects up to 200 meters away, even in adverse weather [9] Safety and Training - Safety Operators will be present on all AVs during testing and initial public rides to ensure real-time supervision [5][10] - GrabAcademy and WeRide are training over 10 experienced Grab driver-partners as Safety Operators, with the first cohort now in on-road training [10][11] Service Connectivity - The autonomous shuttle service will connect residents to key amenities, including the Punggol Coast MRT station and local malls [6]

Core Insights - Waymo is launching freeway rides for select riders in San Francisco, Los Angeles, and Phoenix, establishing itself as the only fully autonomous ride-hailing service in the US for public passengers on high-speed roads [1][2] - The company has been testing fully autonomous rides on public freeways for over a year, indicating confidence in the safety of its autonomous system [2] - Freeway access is expected to enhance Waymo's competitiveness in ride-hailing by improving commute efficiency [3] Expansion Details - The rollout will initially be for members of the Trusted Tester program, with plans to gradually include more riders [4] - Freeway access will not be available in Austin and Atlanta, where Waymo has a partnership with Uber, but these cities are next on the list for expansion [4] - Waymo's coverage area in the Bay Area is expanding to include parts of San Jose, increasing the service area to over 260 square miles [6] Fleet and Coverage - Waymo plans to increase its fleet from over 800 robotaxis to more than 1,000 to support the expansion [7] - In the Bay Area, Waymo's robotaxis will operate on major freeways including 101, 80, 280, and others, while in LA and Phoenix, specific freeways have been designated for use [5] Commute Efficiency - The introduction of freeway rides is aimed at significantly reducing commute times, with some trips potentially being up to 50% faster [8][11] - A demonstration ride showed a significant time difference, with freeway access reducing a 27-minute surface road commute to just 10 minutes [9][10] Ride Experience - The Waymo robotaxi adheres closely to speed limits, typically maintaining speeds of 40 to 65 mph on freeways [12] - The robotaxi does not avoid left lanes, which are often used by faster human drivers, although it may not frequently utilize them [13]

Core Insights - Waymo is expanding its robotaxi services to include freeway rides in San Francisco, Phoenix, and Los Angeles, which is expected to reduce ride times by up to 50% [3][4] - The expansion will create a unified 260-mile service area that includes San Jose, with curbside drop-off and pick-up services at San Jose Mineta International Airport [5] Company Developments - The company has been testing freeway driving for over a year, focusing on system safety and reliability [10] - Waymo's robotaxis have been spotted on freeways, and the company has provided rides to employees to validate the system [10][11] - The operational protocols have been expanded to coordinate with safety officials like the California Highway Patrol for freeway operations [13] Technical Challenges - Freeway driving, while perceived as easier, presents unique challenges due to the infrequency of critical events, which limits exposure to rare scenarios for the self-driving system [11] - The company has supplemented public road driving with closed course and simulation testing to ensure smooth transitions between freeways and surface streets [12]