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Chinese car journalists are told not to be negative on Tesla as it sues customers and media - Related to program, tesla, told, tacoma, problems

Chinese car journalists are told not to be negative on Tesla as it sues customers and media

Chinese car journalists are told not to be negative on Tesla as it sues customers and media

A new scathing analysis about Tesla just came out in China. It describes how the automaker is becoming trigger-happy, suing its own consumers and the media while auto journalists are being told not to be negative about the American automaker.

To this day, Tesla is the only foreign automaker with a wholly-owned car factory in China, although Toyota is expected to follow in a few years.

Elon Musk made the deal happen with Chinese Communist Party (CCP) officials back in 2018. Tesla Gigafactory Shanghai became the organization’s biggest production hub and its biggest source of revenue and profit.

Tesla would never be where it is today without Gigafactory Shanghai and the Chinese market.

Now, we learn that Tesla is willing to go to great lengths to protect that.

The Associated Press (AP) has just released a fascinating in-depth study about Tesla’s activities in China regarding clients and the media.

The research centers around a new perspective on the highly publicized battle between Tesla and one of its Chinese consumers who claimed a brake defect, but it also goes deeper by highlighting a shift in Tesla’s approach to criticism in China.

AP found that Tesla sued “at least six car owners in China who had sudden vehicle malfunctions, quality complaints or accidents they claimed were caused by mechanical failures.”.

Tesla also sued “at least six bloggers and two Chinese media outlets that wrote critically about the enterprise.”.

This is highly unusual behavior for an automaker.

The study also highlights the close relationship between Tesla and CCP officials, especially Li Qiang, the former party boss of Shanghai who is now China’s premier. He was involved in the Gigafactory Shanghai deal.

It’s not news that Tesla benefited from preferential treatment in China, but the study goes quite a bit further.

AP alleges that local media are instructed not to be negative on Tesla:

Tesla has profited from the largesse of the Chinese state, winning unprecedented regulatory benefits, below-market rate loans and large tax breaks. With a few pointed exceptions, Tesla has enjoyed largely ingratiating coverage in the Chinese press, and journalists told AP they have been instructed to avoid negative coverage of the automaker.

“We were told by our editor that we should not write negatively about Tesla because it is a key firm that was introduced and protected by the Shanghai government.”.

The study also explains how Tesla wins about 90% of the court cases filed against the automaker by consumers who claim a defect.

Many individuals complained of Tesla’s lack of communication, leading to filing lawsuits.

If they file lawsuits, they lose, and if they complain publicly, they are the ones getting sued by Tesla and forced to pay the organization and make a public apology.

That’s quite a analysis. It gave a new perspective on Ms. Zhang’s case. Her case made it to Western media in 2021-2022, but never with the level of detail in this analysis.

The facts are she got into an accident. She claimed it was due to a brake failure. Tesla claimed it was due to a driver mistake.

She felt compelled to protest Tesla over what she saw as a serious safety issue. She was quite persistent with it. Tesla sued her and won because she had no way to prove that a brake defect had caused the accident. She was forced to pay Tesla and make a public apology.

But we also learned that Tesla claimed that other entities were backing her despite no evidence of that whatsoever.

I think there’s room for reflection on Tesla’s part here. Is this what it wants to be: a corporation that sues its end-individuals and media over criticism?

Like some customers introduced in the study, Tesla could have avoided much that by simply having improved communications with customers.

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Tesla Trademark Hints At Robovan Sharing Program

Tesla Trademark Hints At Robovan Sharing Program

Tesla applied for two "Robus" trademarks with the USPTO.

One refers to electric buses, while the other is for ridesharing services.

The Robovan made a surprise appearance during last year's Robotaxi event.

Tesla has submitted two trademark applications in the United States that might have something to do with its autonomous ridesharing plans. As first seen by CarMoses, the American EV maker is trying to trademark the “Robus” name in two different categories.

The first application submitted to the United States Patent and Trademark Office refers to electric vehicles, buses and electrically powered buses, while the second application caters to passenger transportation, time-based ridesharing services, peer-to-peer vehicle sharing and temporary use of vehicles.

We aren't certain that Robus will be the official name of Tesla’s Robotaxi and Robovan business, but these two trademark applications certainly support that theory.

For years, Tesla CEO Elon Musk has pledged self-driving cars will be coming “soon.” Those promises culminated in last year’s Robotaxi event that showed two futuristic vehicles without steering wheels but offered few answers to technical questions and logistical issues.

Currently, Tesla’s so-called Full Self-Driving (Supervised) advanced driving assistance suite (ADAS) relies on cameras to “see” the world, just like a human driver. That reduces costs considerably and makes changing components easy if something goes wrong, but other problems arise. For example, if the cameras get dirty, the system can't function so it shuts down—and there’s no automated cleaning setup in the works.

By contrast, Alphabet-owned Waymo, which already offers paid rides in multiple [website] cities, uses a multitude of sensors, including LiDar. That’s both for redundancy and for making sure the system keeps working if it’s raining or snowing or if there’s fog on the road. Considering there’s no one behind the wheel, it’s a welcome safety net.

Before we see driverless Teslas roaming across the land, the business will start a low-volume trial in Austin, Texas in June. "Teslas will be in the wild with no one in them, in June in Austin," Elon Musk unveiled during Tesla’s fourth-quarter 2024 earnings call. "This is not some far-off mythical situation, it's five, six months away."

As with all patents and trademarks, there's always the possibility that this may never see the light of day. Only time will tell.

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A new scathing findings about Tesla just came out in China. It describes how the automaker is becoming trigger-happy, suing its own consumers and the me......

Your Toyota Tacoma Might Have Problems if It Gets Too Muddy

Your Toyota Tacoma Might Have Problems if It Gets Too Muddy

Toyota is recalling certain 2024 and 2025 Tacoma pickups because mud and dirt build-up could wear a hole in the rear brake lines. It affects 106,061 trucks—ones with four-wheel drive, 16-inch brakes, and 17-inch wheels.

, mud and dirt build-up on the interior of the rear wheels can come into contact with the rear brake hoses, and, over time, may damage the hoses and wear a hole in them. If this happens, the vehicle could experience reduced braking power, increasing the risk of an accident.

Toyota began investigating the issue after receiving dealer reports regarding rear brake hose leaks last summer. The automaker didn’t find any problems in the manufacturing process, so it began to review the rear brake design.

The automaker discovered that the clearance between the 16-inch brakes and 17-inch wheels is less than other combinations. It also learned that the brake hose routing on the 16-inch brakes differed from the 17-inch brakes, positioning the hose outside the rear caliper profile.

Toyota replicated the mud and dirt build-up issue on trucks with four-wheel drive, 16-inch brakes, and 17-inch wheels. It couldn’t reproduce the problem on two-wheel-drive trucks, nor those with 18-inch wheels, but the automaker is continuing to investigate the issue.

Toyota will inform owners to take their trucks to their preferred dealer. A technician will replace the rear brake hoses with improved ones. The automaker will mail out notices to owners by April 7.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
8.3%10.0%10.5%11.6%12.3%12.7%12.8%
8.3%10.0%10.5%11.6%12.3%12.7%12.8% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
10.9% 11.7% 12.4% 12.8%
10.9% Q1 11.7% Q2 12.4% Q3 12.8% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Connected Cars35%14.2%
Autonomous Driving22%18.5%
EV Technology28%21.9%
Telematics10%9.7%
Other Automotive Tech5%6.3%
Connected Cars35.0%Autonomous Driving22.0%EV Technology28.0%Telematics10.0%Other Automotive Tech5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Tesla16.9%
Waymo12.3%
NVIDIA DRIVE10.7%
Bosch9.5%
Continental7.8%

Future Outlook and Predictions

The Tesla Chinese Journalists landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the automotive tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing automotive tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of automotive tech evolution:

Regulatory approval delays
Battery technology limitations
Consumer trust issues

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

electric vehicle intermediate

algorithm

ADAS intermediate

interface

platform intermediate

platform Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

lidar intermediate

encryption