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SpaceX CEO Elon Musk hints at Starlink’s global reach at Tesla shareholder event
Speaking at Tesla’s annual shareholder meeting, CEO Elon Musk – also CEO of SpaceX – briefly segued to his spaceflight company’s ambitious Starlink program and discussed how he believes the satellite constellation can support no more than 3-5% of the global population.
On May 23rd, SpaceX successfully launched 60 “v0.9” Starlink satellites – weighing as much as 18.5 tons (~41,000 lb) – into LEO, a first step unmatched in ambition in the history of commercial satellites. Delivered to an orbit of ~450 km (280 mi), all but four of the 60 spacecraft have managed to successfully power up their electric ion thrusters and 55 have already raised their orbits to ~500 km (310 mi). For what is effectively a technology/partial-prototype demonstration mission, the record of Starlink v0.9 performance is extremely impressive and bodes well for a quick and relatively easy design optimization (to “v1.0”) before true mass production can begin.
In general, Musk was more than willing to acknowledge some of the potential limitations of a Low Earth Orbit (LEO) broadband satellite constellation at Tesla’s 2019 shareholder meeting. Most notably, he bluntly noted that Starlink is not designed to service densely populated areas and will predominately be focused on low to medium-density populaces. Triggered by an investor’s question about the possibility of integrating Starlink into future Tesla cars, Musk reiterated that SpaceX’s first-generation Starlink user terminals (i.e. ground antennas) will be roughly the size of a “medium pizza”.
Although pizza sizing is not exactly ISO-certified, Starlink’s user antennas will presumably be around 12-14 inches (30-36 cm) wide and come in a square form factor. Thanks to the use of what Musk believes are the most advanced phased array antennas in the world, neither the antennas on Starlink satellites or user terminals will need to physically move to maintain a strong signal. Still, as Musk notes, an antenna the size of medium pizza box would still stick out like a sore thumb on the typically all-glass roof of an of Tesla’s consumer cars, although built-in Starlink antennas might actually make sense on Tesla Semis.
Elon Musk’s specific comment indicated that Starlink – at least in its current iteration – was never meant to serve more than “3-5%” of Earth (population: ~7.8 billion), with most or all of its users nominally located in areas with low to medium population densities. This generally confirms technical suspicions that Starlink (and other constellations like OneWeb and Telesat) is not really capable of providing internet to everyone per se.
For SpaceX, each Starlink satellite – per official statements that the first 60 satellites represent more than 1 terabit of bandwidth – likely offers bandwidth of roughly 17-20 gigabits per second. In simpler terms, this means that one Starlink satellite overhead could theoretically support as many as 4000 users simultaneously streaming YouTube videos at 1080p/30fps, a figure that sounds impressive but glosses over the sheer number of people that live in cities. Importantly, every single Starlink satellite at ~550 km will likely have a service radius of several thousand – if not tens of thousands of – square kilometers.
Even though the US is exceptionally large and spread out relative to most other countries, a single square kilometer of New York City, Los Angeles, San Francisco, Boston, Miami, Seattle, or dozens of other cities could effortlessly saturate a Starlink satellite’s bandwidth. Even the smallest of towns and cities could easily use most or all of ~20 Gbps at peak hours. In short, Starlink is going to be extremely bandwidth-constrained. Even if SpaceX can double or triple each satellite’s bandwidth and have 10-100 satellites overhead and capable of delivering internet at any given moment, it’s hard to imagine that Starlink will ever be able to serve every person that falls under its coverage area.
Additionally, this means that there is a strong chance that Starlink internet customers will be subject to relatively strict bandwidth limitations and throttling at peak hours. Thankfully, these limitations will be made entirely out of technical necessity, standing in stark contrast to the arbitrary, greed-motivated carriers and ISPs Americans are almost universally accustomed to. In an absolute worst-case scenario, Starlink’s already-connected US customers would get roughly the same quality of service they are used to at roughly the same price. However, they would be able to rest assured that their money was going to SpaceX instead of filling the pockets of the robber-baron-esque shareholders and executives that run American ISPs.
Ultimately, the estimates provided above are exceptionally conservative and generally assume worst-case scenarios. SpaceX could very well beat expectations and develop unique and innovative ways of efficiently using its available bandwidth, while also tirelessly working to improve its technology and expand the carrying capacity of newer satellites. In general, CEO Elon Musk’s comments serve as an excellent temper to the hype surrounding Starlink. SpaceX isn’t going to initially be breaking the backs of Comcast or Time Warner but there’s no reason to believe that that day will never come.
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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.
Elon Musk
Elon Musk’s Grok records lowest hallucination rate in AI reliability study
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6.
A December 2025 study by casino games aggregator Relum has identified Elon Musk’s Grok as one of the most reliable AI chatbots for workplace use, boasting the lowest hallucination rate at just 8% among the 10 major models tested.
In comparison, market leader ChatGPT registered one of the highest hallucination rates at 35%, just behind Google’s Gemini, which registered a high hallucination rate of 38%. The findings highlight Grok’s factual prowess despite the AI model’s lower market visibility.
Grok tops hallucination metric
The research evaluated chatbots on hallucination rate, customer ratings, response consistency, and downtime rate. The chatbots were then assigned a reliability risk score from 0 to 99, with higher scores indicating bigger problems.
Grok achieved an 8% hallucination rate, 4.5 customer rating, 3.5 consistency, and 0.07% downtime, resulting in an overall risk score of just 6. DeepSeek followed closely with 14% hallucinations and zero downtime for a stellar risk score of 4. ChatGPT’s high hallucination and downtime rates gave it the top risk score of 99, followed by Claude and Meta AI, which earned reliability risk scores of 75 and 70, respectively.
Why low hallucinations matter
Relum Chief Product Officer Razvan-Lucian Haiduc shared his thoughts about the study’s findings. “About 65% of US companies now use AI chatbots in their daily work, and nearly 45% of employees admit they’ve shared sensitive company information with these tools. These numbers show well how important chatbots have become in everyday work.
“Dependence on AI tools will likely increase even more, so companies should choose their chatbots based on how reliable and fit they are for their specific business needs. A chatbot that everyone uses isn’t necessarily the one that works best for your industry or gives accurate answers for your tasks.”
In a way, the study reveals a notable gap between AI chatbots’ popularity and performance, with Grok’s low hallucination rate positioning it as a strong choice for accuracy-critical applications. This was despite the fact that Grok is not used as much by users, at least compared to more mainstream AI applications such as ChatGPT.
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
