New Technology / Automotive Technology
Monitor automotive technology, EV innovation, software-defined vehicles and mobility transformation through structured tech briefings.
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Exploring CES 2026: Cars Begin to 'Understand' the World and the 'GPT Moment' of Physical AI [Silicon Valley 101]
Summary
CES 2026 showcases the evolution of cars into intelligent systems driven by AI.
Geely's advancements in autonomous driving and smart technology highlight the importance of a multifaceted ecosystem.
The WAMO model enhances vehicle safety and adaptability based on passenger states.
Chinese automotive companies are redefining market dynamics through vertical integration and innovative technologies.
Perspectives
The material provides insights into the future of automotive technology and the role of AI.
Proponents of AI in Automotive Technology
- Highlight advancements in AI-driven autonomous vehicles
- Emphasize the transformation of cars into intelligent entities
- Showcase the integration of user-friendly interfaces in smart technology
Skeptics of Rapid AI Integration
- Question the reliability and safety of AI decision-making in vehicles
- Raise concerns about regulatory hurdles and public acceptance
- Point out potential challenges in user experience and technology integration
Neutral / Shared
- Acknowledge the significant investments in AI and smart technology by automotive companies
- Recognize the competitive landscape between Chinese and Western automotive firms
- Note the importance of data collection and analysis in enhancing vehicle performance
Metrics
speed
170.0 km/h
the speed of the electric vehicle during the ride
This speed highlights the performance capabilities of modern electric vehicles.
model_year
2025.0
the model year of the vehicle mentioned
Indicates the timeline for the introduction of advanced autonomous driving technology.
deployment_timeline
1.0 quarter
the timeline for vehicle deployment in the US
Sets expectations for when consumers can access new technology.
will hit the roads in the US in Q1 this year
market_entry
2.0 quarter
the timeline for entering the European market
Highlights the global expansion strategy of the vehicle manufacturer.
entering the European market in Q2
AI_model_stage
2.0
the stage of AI technology development announced by Geely
Indicates advancements in AI capabilities for vehicles.
officially sold in phase 2
other
0.0
vehicle cognitive enhancement
This indicates the vehicle's ability to learn and improve over time.
Continuously improve oneself based on external feedback.
other
0.0
enhancement of processing power
This is crucial for the vehicle's operational efficiency and intelligence.
other
0.0
data as a resource
This emphasizes the importance of data in driving future innovations.
Data is the oil of any future form that aligns.
Key entities
Timeline highlights
00:00–05:00
The speaker recounts their experience in a high-speed electric vehicle at CES 2026, emphasizing the evolution of cars beyond mere transportation. AI advancements are reshaping autonomous driving and user interactions, with significant developments from companies like Qualcomm, Google, and Geely.
- The speaker describes their experience riding in a high-speed electric vehicle at CES 2026, highlighting the thrill and discomfort of the ride
- At CES, it was observed that future cars are evolving beyond mere transportation, with AI driving advancements in autonomous driving and reshaping user experiences
- The Alpamaio platform represents a significant leap in physical AI, enabling vehicles to understand complex traffic scenarios and make human-like decisions
- Qualcomm and Google are collaborating to integrate AI into automotive systems, enhancing user interaction through voice and visual controls
- The partnership between Amazon and BMW aims to incorporate Alexa into vehicles, allowing for more natural voice interactions and multi-tasking capabilities
- Geely announced advancements in their AI technology at CES, introducing a new behavior model that allows vehicles to evolve and make judgments
05:00–10:00
Geely's approach highlights the necessity of a multifaceted ecosystem in automotive technology, integrating manufacturing, autonomous driving, and robotics. The transformation of vehicles into intelligent entities relies on advanced perception, cognition, and architecture to enhance driving performance over time.
- Geelys case illustrates the importance of a diverse ecosystem in automotive technology, encompassing manufacturing, autonomous driving models, chip computing infrastructure, and robotics
- The evolution of automotive technology aims to transform cars into intelligent entities capable of self-improvement, driven by a three-step logic: perception, cognition, and architecture
- Equipping vehicles with sensors, cameras, and microphones allows them to perceive the world and gather extensive data, which is essential for enhancing cognitive abilities
- Enhancing a vehicles cognitive abilities enables it to learn from feedback and improve driving performance over time, similar to how human drivers become more skilled
- Creating an efficient vehicle architecture connects all components, enabling faster response times and better integration of functions, moving away from outdated distributed architectures
10:00–15:00
Geely's diverse brand lineup enhances cost-sharing and supply chain efficiency while maintaining high safety and quality standards. The company's AI models and smart technology strategy aim to integrate user-friendly interfaces and improve autonomous driving capabilities.
- Geelys brand lineup spans various market segments, from mainstream models to high-end and performance vehicles, enhancing cost-sharing capabilities and supply chain efficiency
- The company has developed strong mechanical engineering capabilities, focusing on structural technology, chassis technology, aerodynamics, and safety, ensuring high standards of safety and quality alongside smart features
- Geelys smart technology strategy includes integrating a mobile operating system from Meizu for user-friendly interfaces and developing proprietary AI models for autonomous driving, showcased at CES with the Qianlihao system
- In 2025, Geelys total vehicle sales reached 3.02 million, including 1.688 million new energy vehicles, providing a substantial dataset for training AI models to enhance autonomous driving capabilities
- Geelys AI models, including the STAP series, integrate AI across the vehicle architecture but previously faced challenges with model independence that hindered collaborative functionality
- The upgrade to Geelys AI 2.0 aims to unify all AI components into a single system, enhancing vehicle performance by integrating various data sources and improving interactions between driving dynamics and power systems
15:00–20:00
The WAMO model enhances vehicle safety by integrating data from external traffic and passenger states, allowing for adaptive driving styles. Geely's data center, with a processing power of 23.5 EFLOPS, supports the extensive computational needs of their AI systems.
- The WAMO model enhances vehicle safety by integrating data from external traffic and the internal state of passengers, allowing the car to adjust its driving style based on passenger urgency or fatigue
- In addition to driving assistance, the WAM model improves passive safety by enabling deep integration between the chassis and power systems, allowing the vehicle to respond automatically to side collision risks
- The AI system, named IFA, evolves to create a more human-like intelligent cabin experience, capable of understanding passenger needs and planning activities, such as finding charging stations while dining
- WAM constructs a unified vehicle brain composed of four key components: the decision-making model, action expert, world model, and human driver data, enabling autonomous judgment and evolution based on understanding
- Geelys data center has achieved a processing power of 23.5 EFLOPS, making it the leading automotive data center in China, which is crucial for supporting the extensive computational needs of their AI systems
- Geely is deploying a low-orbit satellite constellation to enhance communication capabilities, with 64 satellites already in orbit, ensuring global coverage for various applications beyond personal vehicles
20:00–25:00
Geely is advancing its autonomous driving capabilities with plans to implement high-speed L3 and L4 systems by 2026 and develop Robotaxi services. The company is also venturing into aerial transportation with the launch of the A200-100 flying vehicle, addressing urban congestion challenges.
- Geely is advancing its autonomous driving capabilities, planning to implement high-speed L3 and L4 systems by 2026, alongside developing Robotaxi services that will operate 24/7 as data collection robots. The company aims to leverage its manufacturing scale to create dedicated Robotaxi models, helping to reduce costs and validate the business model for autonomous driving services
- Geely has ventured into aerial transportation with the launch of the A200-100 flying vehicle, marking a significant step towards integrating flying cars into urban transportation networks for quick commutes and emergency services. This innovation complements their existing automotive offerings and addresses urban congestion challenges
- Geelys partnership with Qianli Technology, a leader in robotic reinforcement learning, positions the company to potentially become a major player in the robotics sector. The company aspires to transform from an automotive manufacturer to a leading robotics company in China, reflecting its commitment to innovation
- The company is developing a new generation of vehicles featuring advanced AI capabilities, enabling them to function as intelligent entities that can interact with users and adapt to their needs. This evolution aims to enhance the overall user experience and redefine the concept of mobility
25:00–30:00
The global automotive ecosystem is bifurcating into a Chinese camp focused on speed and intelligence and a Western camp emphasizing engineering depth. Chinese companies are now setting rules, leveraging vertical integration for cost control and redefining vehicle value within an intelligent ecosystem.
- The global automotive ecosystem is splitting into two major camps: one centered around China, focusing on speed and intelligence, and the other dominated by traditional Western giants emphasizing engineering depth
- Chinese automotive companies have transitioned from followers to rule-makers, leveraging vertical integration for cost control and redefining the value of cars as nodes in an intelligent ecosystem
- BYD is recognized as a leader in the electric era due to its strong vertical integration capabilities, while Huawei emphasizes ecosystem collaboration rather than direct vehicle manufacturing
- Xiaomis entry into the automotive space highlights the advantages of consumer electronics giants, including supply chain leverage and channel capabilities, while Geelys strategy involves acquisitions and partnerships to build a vast brand portfolio
- Western automakers, particularly German brands like BMW and Mercedes, face challenges in redefining luxury and software experiences amidst internal organizational constraints, with Mercedes struggling to innovate beyond traditional brand strengths
- Volkswagen, General Motors, and Ford are dealing with historical baggage and software integration issues, with Volkswagens software failures prompting a shift towards external partnerships, while Ford navigates internal obstacles to develop electric vehicles