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SpaceX wants to boost Hubble Space Telescope’s orbit with Dragon spacecraft
NASA and SpaceX have signed a Space Act Agreement to study the feasibility of boosting the orbit of the iconic Hubble Space Telescope, potentially ensuring that the highly successful observatory will remain operable well into the middle of this century.
Thanks to three servicing missions completed in the 1990s and 2000s, Hubble remains highly productive more than 32 years after its launch. NASA believes that that will remain the case until at least the late 2020s or 2030s. However, many components of the telescope have spent decades in the unforgiving environment of space, raising unsurprising concerns about their longevity.
More importantly, the inexorable march of time, gravity, and Earth’s atmosphere mean that Hubble is guaranteed to eventually reenter that atmosphere and burn up without intervention. That demise could come as early as the mid-2030s, but SpaceX thinks it could help extend the telescope’s viability into the 2050s.
NASA and SpaceX will spend the next six or so months discussing whether it’s possible to use Dragon to boost the telescope’s orbit back to a nominal 600 kilometers (~372 mi). Both parties say that the agreement will also investigate the possibility of Dragon servicing missions, which could be even more significant for Hubble. While a boost that large would likely keep it in orbit for decades to come, there’s no guarantee the telescope would remain functional to take full advantage of the extra time it would have.
During the fifth and final Space Shuttle servicing mission, NASA astronauts installed a docking adapter (Soft Capture Mechanism) on the Hubble Telescope. Although no concrete plans existed for any additional servicing missions, the forward-facing installation of that adapter has made this feasibility study possible.
In theory, that docking adapter could make boosting Hubble’s orbit far more feasible, safe, and affordable than a Shuttle-style crewed servicing mission. SpaceX’s Cargo Dragon 2 spacecraft has the same autonomous docking capabilities its crewed sibling has and costs less to launch and operate, so it’s not inconceivable that an uncrewed Dragon could autonomously dock with Hubble and boost its orbit. Jessica Jensen, SpaceX’s Vice President of Customer Operations and Integration, says that an uncrewed option will be studied alongside crewed servicing and orbit-boost alternatives.
According to Patrick Crouse, NASA’s Hubble Space Telescope project manager, without a reboost, NASA would need to consider a separate mission to ensure a controlled deorbit of the massive telescope by “the end of the decade.” The study’s targeted boost of “40 to 70 kilometers,” meanwhile, could extend the longevity of Hubble’s orbit by “15 to 20 years,” or well into the 2050s. But as a feasibility study, there’s a chance that it will conclude that using Dragon – crewed or uncrewed – to boost or service HST isn’t feasible. Ordinarily, the most likely outcome would be a conclusion that the project is feasible from a technical perspective but out of reach from a financial perspective.
Enter billionaire and private astronaut Jared Isaacman, who was directly involved in the September 29th press conference. In September 2021, Isaacman – alongside four others – became the first all-private astronaut mission in history to reach orbit. After the spectacular success of Inspiration4, Isaacman’s relationship with SpaceX has become even closer. In early 2022, the pair announced a new endeavor – the Polaris Program – that intends to conduct at least two or three more private astronaut launches over the next few years.
Expanding the scope of their joint ambitions, the Polaris Program intends to debut the world’s first privately developed EVA spacesuit, test spacecraft-to-spacecraft communications using Starlink’s network of space lasers, and culminate in the first crewed launch of SpaceX’s next-generation Starship rocket. On its own, the decision to privately fund and develop an EVA suit and pursue the ability to conduct EVAs out of Crew Dragon represents a major leap forward for SpaceX and private spaceflight if realized.
But crucially, when asked about the synergies between the Polaris Program, SpaceX, and NASA, Isaacman revealed that he and SpaceX are willing to undertake a sixth Hubble servicing mission more or less pro bono, “with little or no potential cost to the government.” According to Isaacman, it’s possible that “the study could result in [a Hubble servicing mission] becoming the second [Polaris Program] mission.”
Polaris Dawn, the program’s first mission, was recently delayed from a late-2022 launch target to March 2023. The four private astronauts assigned to the mission (including Isaacman himself) recently began training for the historic private EVA, which will see two of four astronauts attempt to briefly exit their Crew Dragon spacecraft in new SpaceX-designed suits. With a targeted apogee of 1400 kilometers (~870 mi), the mission will also attempt to break the record for the highest Earth orbit reached by astronauts, and the spacewalk attempt will also occur at a record-breaking altitude of 700 kilometers (~435 mi)
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
