News
NASA’s Insight Mars lander rescue operation makes progress saving ‘stuck’ probe
The scientists running NASA’s Insight Mars lander found themselves attempting a rescue operation for the mission when one of its instruments became stuck in the red planet’s regolith early last year. After a few assistance maneuvers using a robotic shovel-clad arm in the months since, it appears the team has finally reached a point where there’s light at the end of the dusty tunnel.
“Another short test has my self-hammering mole making gradual progress. Pressing down on the soil above has helped it dig a little further. We’ll do another of these moves soon,” the lander’s official Twitter page announced recently.
So what happened?
Another short test has my self-hammering mole making gradual progress. Pressing down on the soil above has helped it dig a little further. We’ll do another of these moves soon, with @NASAJPL and @DLR_en keeping a close eye. #SaveTheMole pic.twitter.com/3s7DVMYJyU
— NASA InSight (@NASAInSight) August 28, 2020
“Our leading theory was that the Mole did not move into the subsurface because the regolith did not provide enough friction to balance the recoil force of the Mole,” explained Tilman Spohn on DLR Blog, a site run by one of NASA’s European Insight partners, the German Aerospace Center.
The stuck instrument, named HP3 (Heat Flow and Physical Properties Package), is one of the three main experiment tools on board the lander. It functions as a 40 cm long self-hammering probe that digs straight down into the surface to measure heat flow from the Martian interior and its thermal state. When operating as designed, the thermal conductivity of the soil is measured every 50 cm up to a depth of 5 meters. NASA’s team refers to the device as a ‘Mole’ as a nod to its underground burrowing, and the hashtag ‘#savethemole’ has become its social media rally cry for supporters of the rescue mission.
Ironically, lack of friction to support planned digging is very similar to a key plot point in the movie The Core. The ship used by the main characters to dig to the center of the Earth was engineered to work in a high pressure environment, but in the film the core wasn’t very solid at all. As is the case with Insight, plenty of scientific thinking was employed to overcome the challenge, albeit a bit less dramatically.
A stuck heat probe isn’t Insight’s only issue of late, either. Weather sensors on board the lander stopped sending data back to Earth a couple of weeks ago, and NASA’s team suspects an electronics issue is to blame. The instruments are currently in safe mode and await a reset while scientists assess what data is available to troubleshoot the issue in the meantime.
Despite its troubles, NASA’s Mars lander has already shared some memorable firsts since its arrival on the red planet two years ago, and it has sent back an enormous amount of data that will be very useful to scientists as humans make their way through space for a meet up one day. For one, Earthlings were able to hear the sound of wind on an alien world for the first time thanks to Insight’s instruments. The lander also proved that hyper-affordable satellites could be used for deep space missions via its travel companions, Mars Cube One. Launch newcomer Rocket Lab is now capitalizing on the prospects of these types of missions, paving the way for big things in the near future.
You can watch an in-depth video about the HP3 instrument below:
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.”
News
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
