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Elon Musk posts Tesla Battery Day update, hints at mid-May event
Those who have been waiting for Tesla’s 2020 Battery Day will now have to wait a little longer. Tesla CEO Elon Musk announced that the event would “most likely” take place in mid-May, roughly one month after its originally intended date. “Hard to predict dates right now. Most likely postponed to mid May,” Musk wrote on Twitter as a response to a Tesla community member asking about the event.
The reason for the delay in the event seems to be related to the COVID-19 pandemic. This virus has halted production lines in Fremont and Buffalo and has caused the company to adapt to new delivery processes to deliver new electric cars to their customers. Considering that Tesla events usually involve presentations to groups of people, Battery Day may involve viewers being packed in a large room. Such does not conform to current social distancing suggestions to prevent the spread of the virus.
Tesla’s Battery Day will outline the company’s plans for battery development for future vehicles and energy solutions. Musk stated the event would be geared toward a review of Tesla’s cell chemistry, module and pack, architecture, and the company’s manufacturing plan that will detail how it can reach a terawatt-hour per year of battery production. “We have a very compelling strategy. I mean, we are super deep in cell. Super deep. Cell through battery,” Musk said.
Hard to predict dates right now. Most likely postponed to mid May.
— Elon Musk (@elonmusk) April 9, 2020
Tesla’s ultimate goal with its cars is to reach price parity with its gas counterparts as soon as possible. Battery improvements would decrease the cost of vehicles tremendously, as the production of battery packs is one of the most expensive stages in EV manufacturing. Expectations suggest that Tesla has gotten its battery costs down to $100 per kWh, and Battery Day was widely speculated to be an event that discusses such a milestone.
Tesla has crafted a relationship with many cell manufacturers across the world, like Panasonic, which supplies the company’s lithium-ion vehicle batteries. In China, LG Chem and CATL are responsible for the task. The company has also made several acquisitions of battery research companies whose technologies can improve the quality of cells in the long term. One of these companies is Maxwell Technologies, whose research with ultracapacitors and dry electrode technologies could very well improve Tesla’s batteries in terms of quality and longevity.
This could lead to the development a “1-million mile battery,” which Tesla has predicted for its vehicles in the future. Researcher Jeff Dahn, a world-renowned battery specialist whose team at Dalhousie University, says that a battery capable of 1-million miles is more than feasible. This battery goal is attainable, especially considering the Dahn team’s development of pouch cells that have extended life.
Tesla held a similar event in 2019, called “Tesla Autonomy Day,” that outlined the company’s plans to complete its Full Self-Driving suite. However, it seems Tesla’s plans for 2020 are primarily focused on battery and energy storage, starting with Battery Day.
Fremont and Giga New York are poised to reopen on May 4, ending an over one-month shutdown. It is safe to assume that if this date is pushed back into late May or even early June, Battery Day could once again be delayed to ensure the safety of its attendees.
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”
