Waymo Hits 200,000 Paid Trips Per Week Before Tesla Even Gets Started - Related to leaked, corvette, tesla, paid, even
A Costco Membership Can Save You $3,000 on a New Corvette

Costo members receive a range of benefits beyond the opportunity to buy cheese in bulk. You can get deals on travel, gas, eyeglasses, prescriptions, auto insurance, and so much more. The retailer even sells cars, and if you’re a member, you can save a couple thousand dollars on a range of vehicles. Right now, it’s offering a sweet deal on the Chevrolet Corvette through the end of April.
CarsDirect first found the offer, which allows Costco’s Executive membership to save $3,000 on a 2024-2025 C8 Stingray or E-Ray, which buyers can combine with other Chevy discounts to save even more. , the automaker also has a discount of up to $2,500 for 2010 or later Camaro owners or lessees who want the 2024 model, though it doesn't apply to the E-Ray.
Chevy also offers an additional $1,500 discount for Camaro owners who own or lease another eligible Chevrolet model. That means a current Camaro owner could save $4,000 on a 2024 Corvette on top of the Costco deal for a total savings of $7,000, helping the automaker move the remaining 2024 inventory.
The Stingray costs $69,995 for the 2024 and 2025 to start, including the destination charge. The E-Ray, with a hybrid all-wheel drive system and 655 horsepower, starts at $108,595 for 2025, while the 2025 is $2,000 cheaper to start, at $106,595.
Chevy introduced last week that it would be pausing Corvette production for “project improvements” and “manufacturing updates.” The business confirmed that production would be down this week and again the last two weeks of March. It’ll also be down for the week of May 19.
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Waymo unveiled that it now does 200,000 paid autonomous rides per week. That's double what it noted six months ago.
Leaked Document Hints at New Shelby GT500

Ford has a stable of potential Mustang variants that it could surprise us with at any moment. Product planners had the Mach 1 for the previous-gen pony, and it’s been over a decade since we last saw a Boss 302. Those are certainly iconic cars fans love, but the Shelby Mustangs get much of the attention, so a document allegedly from a local UAW branch purporting that a new GT500 is coming soon caught ours.
The memo, posted to the Mustang subreddit, says that Dearborn Engine Plant (DEP) will add an afternoon shift to its “niche assembly line” to accommodate a volume increase that’s allegedly for the 2026 Mustang Shelby GT500, which is where Ford builds the F-150 Raptor R motor. It says, “I can’t wait until we start building engines for such an iconic vehicle with an engine that will be named Legend.”.
The only identifying information on the document is a URL to UAW Local 600, which represents workers at the plant. We reached out to the union office to confirm the memo’s authenticity, but haven’t heard back. We’ll enhancement this story if we do.
When reached by Motor1, a Ford spokesperson told us the business can’t comment on speculation.
Ford hit the ground running with the launch of the seventh-generation Mustang in 2023, quickly introducing high-performance variants of its iconic pony car like the Dark Horse and GTD. It also not long ago introduced the EcoBoost RTR, which borrows parts from the Dark Horse.
But if Ford continues to operate as it has, these special editions will exist for a few years before making room for something else, which may include a new GT500. We’ll have to wait to see.
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Waymo Hits 200,000 Paid Trips Per Week Before Tesla Even Gets Started

Waymo unveiled that it now does 200,000 paid autonomous rides per week. That's double what it stated six months ago.
Waymo operates self-driving taxis in Los Angeles, Phoenix and San Francisco.
After years of broken promises around self-driving cars, Tesla plans to start an autonomous ride-hailing service in Austin this summer.
In the race to lead the autonomous vehicle space—and maybe even the future of transportation—Google's Waymo has about a 100-mile head start. The self-driving taxi division just hit a new milestone: over 200,000 paid rides per week through its Waymo One service.
If this feels like deja-vu, that's because it was only in August that Waymo introduced it was doing 100,000 paid rides per week. The corporation has grown rides by 20 times in less than two years, Alphabet CEO Sundar Pichai noted in a Thursday post on X announcing the news.
That means the gulf between Waymo and Tesla, which has been making huge promises around autonomous driving for years, feels bigger than ever. Tesla CEO Elon Musk has mentioned his enterprise would sell a self-driving car "soon" since at least 2016, but you still can't take a nap in the driver's seat of your Model Y. (Well, while it's moving, at least.).
Last year, Tesla revealed the Cybercab, a purpose-built robotaxi without a steering wheel or pedals that the automaker says will hit production by 2026. But the truest test of the automaker's self-driving ambitions will come far sooner than that. Musk unveiled on a recent earnings call that, starting in June, the enterprise will deploy driverless Teslas in Austin, Texas. People will be able to order rides through an app, as they do for Waymo or Uber.
After Austin, Musk says the service will swiftly expand to other cities. But, again, he's made these indicates for years. And, to date, Tesla hasn't yet proved it can make a car that drives itself without supervision in public.
Musk's killer app may be cost and scale. Teslas only use cameras to "see" the world, while Waymos rely on a wider array of more expensive sensors and highly detailed maps of the cities they operate in. (To get a sense of the costs involved here, just know that Waymo closed a $[website] billion funding round last year.) If Tesla can achieve the same reliability as Waymo with cars you can buy for $40,000 or $50,000—a big "if"—that's a big deal. But so far, while Tesla has been ironing out the kinks, Waymo has cemented itself as the driverless taxi enterprise in the [website].
One of the OGs of the autonomous-vehicle industry, Google (now under parent firm Alphabet) started researching self-driving cars in 2009 and launched Waymo in 2016. Today, Waymo has autonomous, electric Jaguars on the road in San Francisco, Los Angeles and Phoenix. Next up: deployment in Atlanta and Austin on the Uber platform, and Miami too.
about the EV or AV world? Contact the author: [website].
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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 Costco Membership Save 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.