The Chevy Blazer EV SS is the first electric Daytona 500 pace car, and it looks ready to race - Related to was, halftime, is, what, full
Tesla Cybertruck crash on Full Self-Driving v13 goes viral
A Tesla owner reported that he crashed his Cybertruck into a pole after hitting a curb while using Full Self-Driving, Tesla’s advanced driving assist system that Elon Musk implies will be unsupervised this year.
Jonathan Challinger, a Florida-based software developer working for Kraus Hamdani Aerospace. Reported in a viral post on X that he crashed his Cybertruck into a pole.
He reported that he was driving using Tesla’s Full Self-Driving system, a suite of advanced driver assist (ADAS) functions that require driver supervision at all times. However, Tesla proposes that it will soon work without driver supervision—hence the name.
Challinger mentioned that he was driving with FSD on the right lane, which was ending and merging into the left lane, but the car failed to merge and hit the curb.
He stated that he failed to react in time and. Take control of the Cybertruck:
It failed to merge out of a lane that was ending (there was no one on my left) and made no attempt to slow down or turn until it had already hit the curb.
The Cybertruck then crashed into a light post. He was lucky to walkway without a scratch.
To be fair, it was a strange location for a post, but there’s no reason why Tesla FSD shouldn’t have moved lane and even if it wouldn’t have changed lane, it should have hit the curb or post (pictures via TroyTeslike):
Challinger showcased that he shared the story as a “public service announcement” to tell people to remain attentive when using Tesla’s Full Self-Driving system and. Not become complacent:
Big fail on my part, obviously. Don’t make the same mistake I did. Pay attention. It can happen. I follow Tesla and FSD pretty closely and haven’t heard of any accident on V13 at all before this happened. It is easy to get complacent now – don’t.
It might be the first crash on Tesla’s latest FSD v13, which CEO Elon Musk has presented as “mind-blowing” and an critical step toward achieving “unsupervised self-driving” by the end of the year.
Musk and his Tesla influencers often share FSD videos claiming that the technology is “on the verge of becoming truly self-driving,” despite data evidence pointing to Tesla still being years away from achieving this.
This guy is lucky to be alive. And he is right. There’s a problem with people becoming complacent with FSD, and Tesla, and especially Elon Musk, are not doing enough to prevent that from happening.
On the contrary, Musk continues to hype every enhancement, like Tesla is on the verge of solving self-driving, and states that its quarterly safety study proves that FSD is safer than human driving, which is misleading.
If Tesla was developing FSD in a vacuum without Elon’s states that it would be solved every year for the last 5 years and Tesla selling the software package to end-customers without any clear idea of when it can be achieved or on what hardware, it would be celebrated product.
Instead, it’s a product that is making Tesla lose credibility and. Potentially dangerous, as we see today.
I myself had the exact same problem that Challinger described where a lane ends, but FSD doesn’t detect it. It’s weird because it works most of the time so you can get this sentiment of complacency and give the system a chance to move. In this case, it evidently went too far.
Be careful out there and. Stop believing Elon Musk when he talks about self-driving.
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What was Kendrick Lamar’s car in the Super Bowl halftime show?
Rapper Kendrick Lamar took centre stage during the halftime show of the 2025 Super Bowl, and he did so with his favourite car behind him.
At the start of Lamar’s solo set at Super Bowl LIX – in which he rapped his classic hits and. New songs – he emerged on the bonnet of a Buick GNX after being introduced by Samuel L. Jackson.
The GNX was introduced in 1987 as the final and most potent version of the Buick Grand National. A performance version of its Regal coupe launched in 1982.
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Short for Grand National Experimental, the performance coupe was developed with input from ASC/McLaren, with its turbocharged V6 – related to that used in the Holden VN Commodore – producing a claimed 206kW of power and 488Nm of torque.
The boosted V6 made the boxy coupe faster in a 400-metre sprint than the Ferrari F40.
While interest in the GNX has always bubbled away below the surface, it re-entered popular culture late last year when an example appeared on the cover of Lamar’s latest album, aptly titled GNX.
The example on Lamar’s album is believed to be his own after he purchased one last year.
The Buick has a special significance to the rapper, who after being born was driven home from hospital in a 1987 Buick Regal.
Lamar also references the car in the start of the song “TV Off”. Rapping “All I ever wanted was a black Grand National”.
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The Chevy Blazer EV SS is the first electric Daytona 500 pace car, and it looks ready to race
The 2025 Chevy Blazer EV SS, Chevrolet’s fastest SS vehicle ever made, earned the right to become the first electric Daytona 500 pace car. With up to 615 hp, the electric SUV can hit 0 to 60 mph in just seconds. Now, it will set the pace for “The Great American Race.”.
Chevy Blazer EV SS set to pace the Daytona 500.
The Blazer is one of the most iconic Chevy SUVs, but. The all-electric model is just that much superior. GM launched the 2025 Chevy Blazer EV earlier this year with a full trim lineup, including FWD, AWD, RWD, and SS variants.
With up to 615 hp and 650 lb-ft of torque (with Wide Open Watts mode), the SS model is the fastest to wear Chevy’s “SS” badging with a 0 to 60 mph acceleration time in just seconds.
Chevy’s new electric Blazer is set to pace the 67th Daytona 500 on Sunday. February 16, 2025. It will be the first time an EV has paced the race and Chevrolet’s 16th time leading the charge.
The pace car will hit the track with no added performance upgrades, but it will be rocking a custom design and. Embedded strobe light.
To complement the impressive power, the 2025 Chevy Blazer EV SS includes other performance upgrades like a sport-tuned chassis and Brembo brakes. The 2025MY now also includes GM’s Super Cruise driver assist as standard.
Chevy will also unveil the new Blazer NASCAR prototype (shown drifting above) ahead of the Daytona 500. So check back.
The 2025 Blazer EV SS will go on sale later this year. It will start at $61,995 and have an EPA-estimated 303-mile range.
Starting at $45,995, the base FWD trim gets up to 312 miles range, while the RWD model. Starting at $56,990, provides an EPA-estimated 334 miles driving range. All Blazer EV models also qualify for the $7,500 federal tax credit.
2025 Chevy Blazer EV trim Starting MSRP (includes DFC) Range.
A GM Authority findings last week claimed that the 2025 model year will be the last combustion engine Blazer that GM makes. However, GM told Electrek in a statement, “We have no portfolio changes to share and will not comment on speculation.”.
If you’re ready to test drive Chevy’s new electric SUV for yourself. We can help you get started. You can use our link to find deals on the Chevy Blazer EV in your area today.
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Market Impact Analysis
Market Growth Trend
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| 8.3% | 10.0% | 10.5% | 11.6% | 12.3% | 12.7% | 12.8% |
Quarterly Growth Rate
| Q1 2024 | Q2 2024 | Q3 2024 | Q4 2024 |
|---|---|---|---|
| 10.9% | 11.7% | 12.4% | 12.8% |
Market Segments and Growth Drivers
| Segment | Market Share | Growth Rate |
|---|---|---|
| Connected Cars | 35% | 14.2% |
| Autonomous Driving | 22% | 18.5% |
| EV Technology | 28% | 21.9% |
| Telematics | 10% | 9.7% |
| Other Automotive Tech | 5% | 6.3% |
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity:
Competitive Landscape Analysis
| Company | Market Share |
|---|---|
| Tesla | 16.9% |
| Waymo | 12.3% |
| NVIDIA DRIVE | 10.7% |
| Bosch | 9.5% |
| Continental | 7.8% |
Future Outlook and Predictions
The Tesla Cybertruck Crash 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:
Technology Maturity Curve
Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:
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
- Technology adoption accelerating across industries
- digital transformation initiatives becoming mainstream
- Significant transformation of business processes through advanced technologies
- new digital business models emerging
- 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:
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
| Factor | Optimistic | Base Case | Conservative |
|---|---|---|---|
| Implementation Timeline | Accelerated | Steady | Delayed |
| Market Adoption | Widespread | Selective | Limited |
| Technology Evolution | Rapid | Progressive | Incremental |
| Regulatory Environment | Supportive | Balanced | Restrictive |
| Business Impact | Transformative | Significant | Modest |
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.
platform intermediate
ADAS intermediate
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