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.
Your feedback is welcome. If you have any comments or concerns or see a typo, you can email me at johnna@teslarati.com. You can also reach me on Twitter at @JohnnaCrider1.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
