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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Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
News
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
News
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
