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Elon Musk spoke with Consumer Reports following Tesla Model 3 test results
In a recent episode of Consumer Reports’ Talking Cars, Auto Test Director Jake Fisher recounted a conversation he had with Tesla CEO Elon Musk following the release of CR’s test results for the Model 3.
While the magazine stated that there was “plenty to like” about the electric car, such as its excellent range and handling, there were several aspects of the vehicle that left much to be desired. The most prominent of the Model 3’s shortcomings were the car’s brakes, which had an average stopping distance of 152 feet from 60-0 mph — longer than any vehicle in its class. Due to its shortcomings, Consumer Reports opted not to give the Model 3 a “Recommended” rating.
Musk promptly responded to the magazine’s findings on Twitter, stating that Tesla would address the Model 3’s braking issues in an over-the-air firmware update. Musk also pledged to continuously improve the Model 3’s brakes, saying that “Tesla won’t stop until Model 3 has better braking than any remotely comparable car.”
As revealed in Consumer Reports’ recent Talking Cars episode, Musk also reached out to Auto Test Director Jake Fisher after the magazine’s test results were published. During their conversation, Musk and Fisher discussed the Model 3 and possible improvements to the vehicle.
“He was remarkably candid about things. Honestly, he actually thanked us for bringing these things to attention, and said that we’re helping him make the car better,” Fisher said.
Fisher noted that he and Musk talked about several of the Model 3’s deficiencies, such as its controls, brakes, wind noise, rear seats, and its suspension. According to the CR Auto Test Director, Musk stated that Tesla has implemented improvements to the Model 3’s design over the past few months.
During the March-April timeframe, for one, Tesla rolled out changes to the Model 3’s glass to adjust wind noise in the cabin. Around the same time, Tesla also made modifications to the suspension, such as its shock absorbers, to make the ride more comfortable.
Musk discussed the controls of the Model 3 as well, a particular aspect of the vehicle that was considered as a weakness in Consumer Reports’ evaluation. According to Fisher, Musk threw out some ideas to make the car’s controls better.
“We talked about the vents, and he talked about ideas of, well, maybe as you move the seat, (the Model 3) would automatically adjust the vents and the mirrors to suit you,” Fisher said.
Consumer Reports recently published the results of its tests for the Model 3. [Credit: Consumer Reports/YouTube]
Musk also discussed another one of Consumer Reports’ complaints about the Model 3 — the car’s keycard. During its testing, the magazine noted that the phone key worked very well with the Model 3, but using the keycard proved cumbersome. Musk addressed this issue during his phone conversation with Fisher as well.
“He (Musk) admitted that yeah, this isn’t working too well, and we really should do something better. Again, I don’t know if they’re gonna do it or not, but he said we really need to provide a normal key to the customers of this car,” Fisher said.
The Model 3’s keycard stands as one of its differences with its larger siblings, the Model S and the Model X, both of which use Tesla’s ubiquitous electric car-shaped key fobs. The keycard, which is credit card-sized for easy storing in a wallet, is embedded with a small chip that acts as a digital signature for the vehicle.
Since the Model 3 keycard uses near field communication (NFC) technology, the card has a limited transmission range of about 4 inches, requiring owners to tap the electric car’s B-pillar to unlock the door. The card is also placed between the front seats of the vehicle to start the car.
Consumer Reports has been mixed with Tesla’s vehicles so far. The magazine dubbed the Model S as the best car it ever tested. The Model X, on the other hand, was dubbed by CR “fast and flawed,” citing the overcomplicated Falcon Wing Doors of the all-electric luxury SUV. Despite its reservations with the Model X, however, Consumer Reports nevertheless ranked Tesla as the sole American automaker in its Top 10 list for 2018.
Watch Consumer Reports’ recent episode on the Tesla Model 3 in the video below.
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
