News
Tesla’s alleged Thanksgiving FSD crash in SF is being recreated by media
Tesla Owners Club of East Bay cofounder Wilmer Awayan teamed up with the local media to simulate an accident with Tesla’s Full Self-Driving Beta engaged. The club shared behind-the-scenes videos and photos on Twitter.
On Thanksgiving Day, the owner of a 2021 Tesla Model S claimed that his vehicle was operating with Tesla’s FSD Beta engaged and that the technology malfunctioned, causing an eight-car pile-up on San Francisco’s Bay Bridge.
The club tweeted that it had the unique opportunity to host an FSD Beta ride along with Brooks Jarosz with KTVU to simulate and re-enact what could have occurred in the accident. At this time, KTVU hasn’t published its story yet, but San Francisco has been dealing with a rainstorm that’s been keeping the local news crews pretty busy.
Al Shen, president of the club, told Teslarati that this was a great opportunity to share a first-hand look at Tesla’s FSD Beta technology.
FSD thru the same spot the accident occurred. Couldn’t get the original tweet to include this video. Camera crew was along for the ride. pic.twitter.com/ahWtNGmtVs
— Tesla East Bay Fremont (@TeslaOwnersEBay) January 13, 2023
In the video above, Shen shared footage of FSD Beta at the exact location of the accident, noting that the camera crew was along for the ride. Shen told Teslarati that he received an email from an investigative reporter from his local Fox News Station affiliate Channel 2.
“They were seeking a chance to re-enact and test out what FSD capability is and how it works on roads, particularly on the section of the SF Bay Bridge, one of the busiest bridges in America where that Tesla Driver caused that eight-car pile up on thanksgiving 2022,” he said.
Shen chose to help his local news station because he felt it was a unique opportunity to share a first-hand look at Tesla’s technology.
“As educated owners and a Tesla Owners enthusiast group here to support the brand’s mission, we felt it was a unique opportunity to give a first-hand look at what Tesla’s emerging autonomy and driver’s assist features for Full Self Driving look like from inside a Tesla as opposed to only reading about it or third-hand knowledge,” he said.
“We utilized FSD beta to navigate us to our rendezvous location and proceeded on the simulated drive across the SF-Oakland Bay bridge, even with inclement rain weather, the system performed nominally under rainy conditions although slower than some traffic.”
“As the FSD Beta vehicle approached the infamous tunnel where the Thanksgiving crash occurred, we proceeded through and even simulated a lane change similar to the one seen in the now-released traffic footage. Again we noticed a slight deceleration but nothing as extreme as what occurred in the accident.”
“FSD Beta offered some lane changes, which we declined to proceed with, the news team was impressed with the visualization and the car’s ability to visualize and process the world around it in real-time.”
“What we felt paramount to do, despite incurring a legitimate strike, was that our driver purposely disobeyed the software and did not confirm when warnings came to put our hands on the wheel and remain attentive at all times. The vehicle disengaged and began to slow down, however, given the open ‘testing’ environment we were in, we pressed the accelerator and resumed our drive at safer speeds and distances,” Shen added.
Update:
KTVU aired the video on this evening’s news.
Here’s the @KTVU evening news covering the simulated @Tesla FSD/AP drive we took @BrooksKTVU on this morning across the SF Bay Bridge to dive deeper into what sadly transpired on Thanksgiving 2022. 🔑: It’s on all of us as drivers to be attentive. pic.twitter.com/gwGnuVq7b6
— Tesla East Bay Fremont (@TeslaOwnersEBay) January 14, 2023
Disclosure: Johnna is a $TSLA shareholder and believes in Tesla’s mission.
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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
