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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.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
