Two murder suspects are now facing a potential natural life sentence after they were caught following a failed attempt at carjacking a Tesla. The failed carjacking attempt allowed the police to catch up and apprehend the suspects, who were fleeing with a 6-year-old in tow.
Chicago police spokesperson Ray Hanania noted that 23-year-olds Matthew Givens and Cortez Hudson have been charged with murder and attempted carjacking for an incident that transpired last Wednesday. The duo initially fled using a red Nissan Sentra, before trying to transfer vehicles by carjacking a Tesla.
Before their failed carjacking attempt, Givens and Hudson had allegedly fired multiple rounds into 21-year-old Jawaun Davis, who was reportedly part of a rival gang. The two men headed to Davis’ location using a red Nissan Sentra that belonged to Hudson’s mother. Remarkably, the car had a third occupant—Hudson’s 6-year-old brother.
After striking Davis with multiple rounds, the attackers fled. The event was recorded on surveillance video from several businesses nearby. Several witnesses also saw or heard the attack.
The Nissan Sentra was eventually flagged by an Oak Lawn officer who observed that the car was driving erratically. Instead of pulling over, Givens and Hudson fled, weaving in and out of traffic and traveling through multiple jurisdictions. The duo got onto Interstate 294 and exited at 95th Street with the police still in pursuit.
Police briefly lost sight of the Nissan Sentra, though they quickly located it as the two men got out with the 6-year-old. This was when Hudson approached a Tesla owner who was showing his vehicle to a friend. Hudson pointed a firearm at the Tesla owner, informing him that “This is a carjacking.” The Tesla owner and his friend promptly moved away.
In an email to the Chicago Tribune, Hanania stated that this was where Hudson and Givens ended up being caught. “The Tesla owner was threatened, and he left the vehicle to the carjackers, (but when Givens and Hudson got in the car, they were unable to) figure out how to get it started. (That delay) allowed police to catch up with them and arrest them,” the spokesperson wrote.
Being unable to operate their carjacked Tesla, Hudson and Given lost time. The pair was caught and arrested minutes after the failed carjacking attempt.
In a statement on Friday, prosecutors noted that the two men have been charged with murder and attempted carjacking. In a statement to Bridgeview Court Judge Linzey D. Jones, Cook County Assistant State’s Attorney John Huff stated that the pair’s actions were carried out in a “cold, calculated, and premeditated” manner. The judge denied bail for the men in a livestreamed bond hearing on Friday afternoon.
Teslas are quite different from conventional vehicles, and they are also fitted with features that make them pretty tough to steal. Reports about the incident did not specify the exact reasons why the suspects were unable able to operate the Tesla, though speculations from the EV community have suggested that the vehicle might have had its PIN to Drive feature activated. The suspect attempting to drive the Tesla might have left his seatbelt unbuckled as well, resulting in the vehicle automatically remaining in Park.
Don’t hesitate to contact us for news tips. Just send a message to tips@teslarati.com to give us a heads up.
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.