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NASA’s InSight hopes to detect “marsquakes”, deploys seismometer on Mars
In another historic feat for NASA’s InSight lander, a seismometer has now been deployed on Mars, marking the first time a scientific instrument has been placed onto the surface of another planet. Once the craft’s team have things set up for readings, its instruments will begin measuring the internal vibrations of the red planet, hoping to ultimately learn about the activities and composition of its core and crust. InSight’s instruments will also study how powerful and frequent seismic activity is on Mars along with how often the surface is hit with meteorites. If we’re hoping to explore and possibly live there one day, this is all very important information to have.
After launching on May 5, 2018, aboard an Atlas rocket in California, InSight and its MarCO twin CubeSat companions traveled through deep space for around 6 months before landing on the Martian surface at 11:52 PST on November 26, 2018, an event watched live around the world, including a broadcast in Times Square, New York City. The planned mission for the craft is a little over 1 Martian year, i.e., about 2 Earth years, during which time it will aim to provide scientific data useful for understanding the processes that have shaped the rocky planets of our solar system. In other words, the things InSight learns about Mars will be directly relevant to our own planet as well.
InSight’s name is actually an acronym for “Interior Exploration using Seismic Investigations, Geodesy and Heat Transport”, each part being a reference to the specific science it will be conducting. There are several auxiliary instruments on board the lander that will assist or complement its main mission. However, there are 3 scientific instruments on the craft to help meet its objectives.
First, a seismometer named the Seismic Experiment for Interior Structure (SEIS) will study seismic waves from the Martian surface to study the planet’s crust. When magma moves or meteorites hit, the instrument will detect the motion and gather information that will tell scientists about Mars’ temperature, pressure, and composition. This is the instrument featured in the lander’s recent photo.
Second, a heat flow probe named the Heat Flow and Physical Properties Probe (HP3) will burrow more than 10 feet into the surface to measure the heat still flowing out of Mars, giving clues about how it evolved and whether Earth and Mars are made of the same materials. Finally, a radio science instrument named the Rotation and Interior Structure Experiment (RISE) will measure tiny changes in the location of InSight to measure Mars’ “wobbles” on its axis. This movement data will provide information about the planet’s core.
InSight is conducting its experiments on the western side of the Elysium Planitia of Mars, a smooth, flat region near the planet’s equator. The location was chosen from a pool of 22 candidate landing sites, all within Elysium, evaluated during several workshops from 2013-2015. The decision was made based on Elysium’s proximity to the equator (maximum sun for InSight’s solar arrays), low elevation (plenty of atmospheric space for its landing), lack of rocks and slopes (flat enough for the instruments to deploy and work properly), and the subsurface structure (so the digging instruments could burrow easily).
Next, InSight will finish setting up its remaining instruments and begin its full science mission. We can expect to continue receiving image updates from the lander as more milestones are reached. Here’s an extra bonus if you want to feel like you’re “there” with InSight: NASA’s “Experience InSight” interactive web page lets you control a virtual version of the lander in a Martian environment. You can deploy its solar panels, move around a few of its instruments, or just learn about the various parts that make up the mission. There are additionally two virtual cameras, just like the ones onboard the actual craft, enabling you to watch the movements you’re making, just like InSight’s team sees from their control center.
Watch the below video for a recap of InSight’s landing:
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
