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How the Chevy Bolt EV became GM’s 1.8 billion dollar problem
General Motors has already spent $800 million on recalls of the Chevrolet Bolt EV due to defective battery cells that caused fires, but the price has gone up once again. On Friday, the automaker announced it would funnel an additional $1 billion into additional voluntary recalls of the electric sedan “out of an abundance of caution.”
The Bolt EV was issued its third recall in a year on Friday, following one in late July and another from November 2020 as defective battery cells were causing some builds of the vehicle to catch fire. GM and its battery supplier LG Energy Solutions stated that “the simultaneous presence of two rare manufacturing defects in the same battery cell” could cause a fire if the battery pack is charged fully.
2019 Chevy Bolt EV (Credit: Chevrolet)
GM advised customers to do the following:
- . Customers should, whether or not they received the current software update, return their vehicle to the 90% state of charge limitation using Hilltop Reserve mode (for 2017-2018 model years) or Target Charge Level (for 2019 model year) mode. If customers are unable to successfully make these changes, or do not feel comfortable making these changes, we are asking them to visit their dealer to have these adjustments completed.
- Additionally, we ask that customers charge their vehicle after each use and avoid depleting their battery below approximately 70 miles of remaining range, where possible.
- Out of an abundance of caution, customers should continue to park their vehicles outside immediately after charging and not leave their vehicles charging overnight.
GM’s Q2 2021 Earnings Call stated that it had spent $1.3 billion in recalls in Q2, with $800 million of that going toward battery bugs in the Bolt. As a precaution, GM is now applying additional models to the recall:
“General Motors is voluntarily expanding the current Chevrolet Bolt EV recall to cover the remaining 2019 and all 2020-2022 model year vehicles, including the Bolt EUV. In rare circumstances, the batteries supplied to GM for these vehicles may have two manufacturing defects – a torn anode tab and folded separator – present in the same battery cell, which increases the risk of fire. Out of an abundance of caution, GM will replace defective battery modules in Chevrolet Bolt EVs and EUVs with new modules, with an expected additional cost of approximately $1 billion.”
The new recall population includes the following:
- 9,335 (6,989 in the U.S. and 1,212 in Canada) – 2019 model year Bolt EVs that were not included in the previous recall
- 63,683 (52,403 in the U.S. and 9,019 in Canada) – 2020–2022 model year Chevrolet Bolt EVs and EUVs
The batteries will be replaced and come with an 8-year/100,000-mile limited warranty (or 8-year/160,000 km limited warranty in Canada).
With the additional $1 billion going toward Bolt recalls, GM has spent $1.8 billion on the battery replacement offensive for the vehicle. It’s a good precaution, but it sure is getting costly for the legacy car company. GM also provided new instructions for customers in the new recall population:
1. Set their vehicle to a 90 percent state of charge limitation using Target Charge Level mode. Instructions on how to do this are available on chevy.com/boltevrecall. If customers are unable to successfully make these changes, or do not feel comfortable making these changes, GM is asking them to visit their dealer to have these adjustments completed.
2. Charge their vehicle more frequently and avoid depleting their battery below approximately 70 miles (113 kilometers) of remaining range, where possible.
3. Park their vehicles outside immediately after charging and should not leave their vehicles charging indoors overnight.
Don’t hesitate to contact us with tips! Email us at tips@teslarati.com, or you can email me directly at joey@teslarati.com.
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.