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NASA to livestream first Mars landing in six years on November 26 with InSight lander
On Monday, November 26, 2018, a Mars lander will arrive on the surface of the red planet for the first time in six years, and NASA will broadcast the event live on their TV channel and website. The craft’s name is “InSight”, and it’s scheduled to complete its journey begun May 5, 2018 on an Atlas V rocket by setting down onto Martian regolith at approximately 3 pm EST. A video stream of Mission Control at the Jet Propulsion Laboratory in California will be available where viewers can listen to live landing commentary. InSight’s descent itself will not have a video component; however, photographs of the craft while parachuting and shortly after landing may be transmitted.
Truly enjoyed the experience of my first AtlasV launch, and all the excitement surrounding this incredible mission! Rather surprised my remote cams survived AND managed to capture *anything* in that totally rude fog. 🙂 Here are a couple shots. @NASAInSight @ulalaunch pic.twitter.com/XEH4zBLWpu
— Pauline Acalin (@w00ki33) May 5, 2018
InSight’s name is short for “Interior Exploration using Seismic Investigations, Geodesy and Heat Transport”, and as the name implies, its mission is to collect seismographic data from the surface of Mars in order to gather information about the planet’s core. The lander has six instruments on board that will propogate seismic waves through Mars’s interior after hammering a probe about 10-16 feet into the ground, a process which will take about 2-3 months to complete. The vibrations measured at the surface will then be measured and interpreted to reveal details about its layers and, by extension, the early formation of both it and Earth.
Unlike a rocket launch where delays are always possible, you can safely mark your calendar for this event. NASA can’t change this date even if they wanted to thanks to the physics involved in the lander’s interplanetary flight. If you’re interested in celebrating InSight’s Martian arrival in a community setting, watch parties open to the public are planned at scientific facilities and libraries around the world.
InSight in a clean room at Vandenberg AFB in California. | Credit: Pauline Acalin
Viewers of the live streamed landing will hear updates from scientists as they track InSight’s journey from a fiery entry speed of 12,300 mph to a 5 mph landing speed. Drag against the craft’s heat shield, parachutes, and retrorockets will slow its descent. The mission’s scientists hope to receive an image of the Martian surface shortly after, but they’ve cautioned that the initial photos will likely be cloudy due to dust kicked up from the event.
InSight will land in Mars’s Elysium Planitia (“the biggest parking lot on Mars”), an area near the planet’s equator. Its closest Earth-sent neighbor, the Curiosity rover, will be 240 miles away, and twin rovers Spirit and Opportunity will be located 1,600 and 5,200 miles away, respectively. Once on the surface, InSight’s first steps will be to unpack and deploy its solar panels to ensure power for the rest of its instruments.
The solar panels will provide about 600-700 watts on a clear Martian day, 200-300 during dustier conditions. For more perspective on this power source, NASA’s press release likened its maximum wattage to the requirements of a household blender (500 watts). The amount of energy converted just falls short of running a coffee machine (1000 watts), but plenty to “wake up” the lander after sleep, even if not a human.
As a bonus for space fans, InSight did not set out on its interplanetary mission alone. Twin demonstration mini satellites named “Mars Cube One” (MarCO) launched with the lander and traveled separately to the planet. Along with having completed successful radio, antennae, steering, and propulsion tests during their journey, MarCo will test a new kind of data relay from Mars orbit during InSight’s descent to the surface. InSight will not depend on successful transmissions to and from MarCo to land.
MarCO also marks the first deep space mission for a type of tiny satellite called “CubeSats”, a class characterized by a small form factor and miniaturized technologies that are often commercial, off-the-shelf components. MarCO fits this category and each satellite is about the size of a briefcase. The significantly lower development and launch costs of CubeSats compared to larger satellites have already opened space science to students and limited budget commercial initiatives. The success of MarCO in the deep space environment will now potentially open up interplanetary exploration beyond government agencies to encompass more civilian initiatives.
Watch NASA’s video below to learn more about the lander:
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
