Wedbush analyst Dan Ives maintained his optimistic outlook on Tesla (NASDAQ:TSLA) following the company’s recently-held AI Day recruitment event. In a note, Ives mentioned the potential of innovations such as Project Dojo, as well as the company’s focus on Full Self-Driving. He did, however, share some caution about Elon Musk’s “sci-fi” projects such as the Tesla Bot. Despite his reservations, however, Ives still maintained his “Outperform” rating for the company, as well as a $1,000 12-month price target.
Tesla’s AI Day was a recruitment event, and in this light, it was undoubtedly successful. With extremely detailed and technical discussions surrounding how FSD is being developed and trained, the event was a great showcase of the projects that the company is currently working on. It would not be surprising if Tesla received a good number of applications for its AI Team following the event.
Ives, for his part, was particularly impressed by Dojo, which is being created to process vast amounts of camera imaging data much faster than existing computer systems. With the newly-unveiled D1 chip, Tesla could vastly improve its AI performance, allowing the company to gain more control over its hardware and software operations down the road.
“The holy grail for Tesla is all about FSD and differentiating the company’s technology vs. increasing competition in the autonomous and self-driving space. In theory, the AI capabilities that Tesla is working on will enhance and improve its FSD with hopes that Dojo will be operational next year. To this point, with Tesla under major scrutiny for safety issues on FSD and a new US probe now underway, clearly Tesla recognizes there are deficiencies in its current process that must be significantly improved through real-time AI to reach the eventual aspirational goal of true FSD over the coming years,” Ives wrote.
The Wedbush analyst also shared some of his reservations about the Tesla Bot, which Ives describes as a “sci-fi project for Musk.” While the Tesla Bot has potential in the way that it could help perform repetitive and low-level tasks, Ives stated that such a project would likely agitate investors in the near term since the company is currently facing some challenges.
“The robots will use the same chips and sensors that Tesla’s cars use for self-driving features. Unfortunately, as we have seen with robotaxis and other future sci-fi projects for Musk, we view this Tesla Bot as an absolute head-scratcher that will further agitate investors at a time (when) the Street is showing growing concern around rising EV competition and safety issues for Tesla. While we appreciate Musk’s longer term technology vision, a Tesla Bot is not what investors want to see with instead much more focus on chips, FSD, and reaccelerating China EV demand in this key market at a critical juncture.
“In a nutshell, last night showcased the massive AI technology underway at Tesla and speaks to a company which is much more than a traditional auto company. That said, the Street wants Musk to focus on driving near-term battery technology enhancements, capacity buildout (in Berlin and Austin), and fending off rising EV competition from all angles globally and not humanoid robots. We continue to believe Tesla is further building out its technology stronghold on EVs, however focusing on course-correcting the current issues (China demand, safety issues, and chip shortages) is the key task at hand for Musk and the stock,” Ives wrote.
Disclaimer: I am long TSLA.
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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.
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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.
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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”
