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NASA braces for ‘7 minutes of terror’ as rover, rocket crane near Mars
NASA’s most ambitious – and difficult – Mars rover mission to date is nearly at the end of its interplanetary journey, but it is just the beginning of the excitement. On Tuesday (Feb. 16) engineers at NASA’s Jet Propulsion Laboratory (JPL) confirmed that Perseverance is doing well and is prepared to attempt a touchdown at about 12:55 p.m. PST (3:55 p.m. EST) on Thursday (Feb. 18).
NASA’s fifth Mars rover, Perseverance, will attempt a tried and true, but terrifying landing method to reach the Martain surface safely. In a process called entry, descent, and landing (EDL) the rover will burst through the Martian atmosphere at 12,500mph (20,000 kph) and slow to just under 2mph (3kph) in about seven minutes – a process which has earned the nickname “seven minutes of terror.”
From interplanetary spacecraft to Martian rover in seven minutes
For the past seven months, Perseverance has traveled 300 million miles (480 million kilometers) as an interplanetary spacecraft. When it reaches its final destination of Mars on Feb. 18, the spacecraft will have to shed some layers to prepare to land on the Martian surface. Perhaps the most challenging part of the seven minutes of terror is that Perseverance will conduct every aspect autonomously – engineers back on Earth will not be able to intervene due to the communications time delay caused by the distance between Earth and Mars.
During the first stage of landing known as entry, Perseverance will slam into the relatively thin Martian atmosphere at the neck-break speed of 12,500mph (20,000 kph). At approximately 12:38 p.m. PST (3:38 p.m. EST), 10 minutes prior to entering the Martian atmosphere, the Cruise Stage which has reliably propelled Perseverance on its journey from Earth via solar power will separate. This will initiate the official transition from spacecraft into rover.
To protect the rover and its critical hardware Perseverance is housed inside of a protective covering – called an aeroshell – and is outfitted with a robust heat shield. Small thrusters at the crown of the aeroshell help to reorient itself and ensure that the heat shield is facing in the right direction as it enters the atmosphere. The aeroshell and heatshield will absorb and deflect the brunt of the heat energy – reaching about 2,370 degrees Fahrenheit (about 1,300 degrees Celsius) – caused by the friction of entering the Martian atmosphere at such a high velocity.
Once through peak heating and deceleration, Perseverance will utilize a new technology called Range Trigger to determine its exact location and distance to the surface. The spacecraft will utilize this technology to autonomously determine the optimal time to deploy its supersonic parachute – the largest ever sent to Mars – and separate its heat shield. This is expected to occur at 12:52 p.m. PST (3:52 p.m. EST). Once the heat shield has separated the powered descent stage – and the Perseverance rover itself – will be exposed to the Martian environment.
Although a similar descent method has been used in the past with the landing of NASA’s Curiosity rover in 2012, Perseverance’s way of doing things has received a major upgrade.
Once the heat shield has been dispersed, Perseverance will use a radar and cameras to utilize a new landing technology called Terrain-Relative Navigation. Essentially, Perseverance will continuously take images to map out the Martian surface as it descends to determine its exact location. The spacecraft will actively decide and target the best possible safe landing site which can be autonomously changed up to 2,000 feet (600 meters). Then the aeroshell and parachute are jettisoned and it’s the powered descent module’s time to shine.
Using rockets to land, rather than to launch
Just two minutes after ditching the heat shield, at 12:54 p.m. PST (3:54 p.m. EST) and only 1.3 miles (2.1 kilometers) above the surface, the powered descent stage will fire eight throttleable retrorockets to slow the spacecraft’s descent even more and steer it to its chosen landing target. During the powered descent phase, the spacecraft will slow from about 190 mph (306 kph) to just 1.7 mph (2.7 kph).
Once the spacecraft determines that it is 65 feet (20 meters) from the surface by utilizing the Terrain-Relative Navigation, the powered descent stage will initiate the sky crane maneuver. In this phase, the Perseverance rover will be delicately lowered to the Martian surface with a system of Nylon cords.
At 12:55 p.m. PST (3:55 p.m. EST) the $2.4 billion NASA Mars 2020 mission will officially touchdown on the surface of Mars in the Jezero Crater. Once safely down, the sky crane will severe the cords and fly off for a crash landing at a safe distance away from the rover.
During the landing attempt, NASA’s Mars Reconnaissance Orbiter will be overhead and constantly sending telemetry back to Earth via NASA’s Deep Space Network. The telemetry will indicate to engineers back at NASA JPL if the landing procedure was successful and will confirm a touchdown at 12:55 p.m. PST (3:55 p.m. EST).
This will be the first time that a NASA Mars rover will be landing with its eyes open, so to speak. NASA hopes that the first images – and sounds – of the Martian landing will be available to release to the public within about an hour of confirmed touchdown.
Beginning around 11:15 am PST (19:15 UTC) on Thursday, February 18th, NASA will provide live coverage of Perseverance’s landing attempt. The agency will carry the coverage on NASA TV and its website, as well as a number of other platforms including YouTube, Twitter, Facebook, LinkedIn, Twitch, Daily Motion, Theta.TV, and the NASA app. You can view the entry, descent, and landing process in its entirety in the video below provided by NASA’s JPL.
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.
