

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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News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
Elon Musk
USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards
The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.
Duffy’s Giga Texas Visit
As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X.
He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”
National Standard
While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”
Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.
Optimus’ Newest Demonstration
In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.
What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.
Tesla VP for Optimus Shares Insight
In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.
“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).
“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.
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