News
Tesla released the Cybertruck RWD to make the AWD look like a deal
Cybertruck LR RWD is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin.
Tesla released the Cybertruck Long Range Rear Wheel Drive (LR RWD) recently, and it quickly received mixed reactions from the electric vehicle community. While the truck was praised for its long range, many argued that it was far too expensive due to the long list of features that it is missing compared to the Cybertruck All Wheel Drive (AWD), the mid-range variant of the all-electric pickup truck.
A look at the Cybertruck LR RWD’s pricing and features suggests that Tesla designed and priced the vehicle to push more buyers to opt for the Cybertruck AWD instead.
So Much Missing
The Cybertruck LR RWD costs $10,000 less than the Cybertruck AWD, but it is substantially less equipped compared to its mid-range counterpart. While the Cybertruck LR RWD’s slower 0-60 mph time, lower towing and payload capacity, textile seats, and fewer speakers are understandable, missing features such as the lack of air suspension, HEPA filter, and active noise cancellation make the vehicle truly a stripped down version of the all-electric pickup truck.
Considering that it is the most affordable Cybertruck available today, it would be fair to expect the vehicle to be geared for consumers who truly use their trucks for work. However, the Cybertruck LR RWD seems like a pretty expensive and under-equipped work truck, as it is effectively a $69,990 pickup that does not have 120V and 240V power outlets on its bed or 120V outlets in the cabin. It doesn’t even have otherwise basic Cybertruck features like the rear light bar, which is part of the pickup truck’s iconic, futuristic look.
Must Be Cheaper
The long list of missing features from the Cybertruck Long Range RWD has incited a lot of conversations among electric vehicle enthusiasts on social media, with some EV fans stating that the cost of the features that Tesla removed in the LR RWD seem to be worth far beyond $10,000. Others noted that with its (very) stripped-down nature, the Cybertruck Long Range Rear Wheel Drive should have been priced around $55,000, or at least closer to Elon Musk’s previous comments about electric pickup truck prices in the past.
Back in 2019, Elon Musk noted during an interview on the Ride the Lightning podcast that he believes consumers should be able to purchase a decent electric pickup truck for less than $50,000. “You should be able to buy a really great truck for $49k or less,” Musk stated then.
The Cybertruck was ultimately unveiled in November 2019 with a starting price of $39,990. If one were to adjust for inflation, Elon Musk’s sub-$50,000 Cybertruck price estimate would be worth $62,811 today, which is roughly the price of the Cybertruck LR RWD with the federal tax credit. For context, the Cybertruck’s $39,990 base price during its November 2019 unveiling is worth $50,249 today if adjusted for inflation.
A Boost to Cybertruck AWD
One would not be faulted to speculate that Tesla released the Cybertruck Long Range Rear Wheel Drive as a way to encourage customers to purchase the more expensive Cybertruck All Wheel Drive. For just $10,000 more, after all, customers would be getting a substantially better-equipped vehicle with better performance and far more utility.
It remains to be seen how well the Cybertruck LR RWD would sell, though considering its stripped-down nature, there seems to be a chance that the variant would follow the same path as the $35,000 base Model 3 Standard Range RWD, which was briefly sold but eventually retired due to low orders. What the $35,000 Model 3 did, however, was push a lot of sales of the Model 3 Standard Range Plus, which ultimately became one of Tesla’s volume sellers and is still in production today simply as the Model 3 RWD.
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
