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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 confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
