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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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Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
