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Tesla bull asks Elon Musk for Full Self-Driving value to be added with vehicle trade-in
Tesla will consider adding monetary value to its Full Self-Driving suite when an owner is attempting to trade-in their vehicle. The company is looking into the possibility following a request to Elon Musk from notable Wall Street analyst and Tesla bull Pierre Ferragu.
Ferragu, an analyst from New Street Research, currently owns a Model 3 equipped with Tesla’s Full Self-Driving suite. After purchasing the self-driving capability in November, Ferragu said he is interested in upgrading from a Model 3 to a Model Y. Still, he isn’t pleased about paying the $10,000 price tag for the semi-autonomous driving feature when he recently shelled out the money for the Model 3.
Tesla’s Full Self-Driving suite is what the company may be most known for outside of its highly-advanced electric vehicle tech, which has made it the undeniable leader in the EV sector. However, the Full Self-Driving suite is not included with the purchase of the vehicle like Basic Autopilot is, and to have the FSD capabilities, the owner must pay $10,000 on top of the price of the car.
“@elonmusk: I paid FSD for my Model 3 in November. I now want to upgrade to model Y and your team tells me you don’t value FSD in your trade-in offer because you can do the software upgrade for free. Want me to pay again full price for FSD again? That’s not fair, change that!” Ferragu tweeted to Musk.
@elonmusk: I paid FSD for my Model 3 in November. I now want to upgrade to model Y and your team tells me you don’t value FSD in your trade-in offer because you can do the software upgrade for free. Want me to pay again full price for FSD again? That’s not fair, change that!
— Pierre Ferragu (@p_ferragu) January 16, 2021
Musk and Tesla are considering adding the transfer or giving some credit toward an FSD-equipped vehicle’s trade-in value. Currently, the issue is that Tesla is not giving any monetary value to the FSD suite when someone wishes to trade in their car toward a new one. This would effectively mean that FSD makes the car no more or less valuable than it would be without the functionality equipped. This is causing a dilemma with some owners who wish to upgrade or change their Tesla vehicle as it would require paying another hefty $10,000 fee.
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Musk stated that he would look into the possibility of having FSD add value to a trade-in. The reason Tesla didn’t consider it before, according to Ferragu, is because the company can activate the functionality to any vehicle for free.
Looking into this. No question that FSD should be viewed as reasonably valuable when doing a trade-in.
— Elon Musk (@elonmusk) January 18, 2021
Other owners would be interested in a one-time transfer to a new vehicle, which would be advantageous for multiple scenarios. One would be if a family has two Teslas, but one is driven more than another. If the new car will be driven more frequently, but the current car has FSD, some owners may want to transfer the self-driving capability to the new vehicle. Another situation that would give owners some more leeway would be if they are trading an FSD-equipped vehicle in for a new Tesla. If their FSD purchase was recent and at the same price point as the current $10,000 tag, the feature could be transferred to the new car. If the owner paid less, Tesla could require the owner to pay the difference.
Tesla has been known to listen to real-world owners and use the feedback to improve their cars. Musk will likely update the development as it is figured out. It will be interesting to see how the company values FSD through trade-ins or if it will take the route of a transfer option for recent buyers of the Full Self-Driving suite.
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
