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SpaceX on track with Crew Dragon program despite thin NASA budget

SpaceX CEO Elon Musk, NASA administrator Jim Bridenstine, and NASA astronauts Doug Hurley and Bob Behnken stand in from of the Crew Dragon capsule set to launch astronauts to the ISS early next year. (Teslarati - Pauline Acalin)

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On Thursday (Oct. 10th) NASA Administrator Jim Bridenstine, SpaceX CEO Elon Musk, and NASA Demo-2 astronauts Bob Behnken and Doug Hurley spoke at the company’s Hawthorne, CA headquarters after the NASA and SpaceX heads toured the factory and spoke with company engineers.

While discussing NASA’s Commercial Crew Program (CCP) and SpaceX’s ongoing development, Musk revealed – among other things – one particularly impressive detail: the company’s Crew Dragon program is almost perfectly sticking to NASA’s budget.

During an audience Q&A session, Bridenstine touched on the impact federal funding has had on the NASA Commercial Crew Program, partially correctly stating that “the timelines never changed*, but the budget got cut. So, there are consequences when the budget doesn’t meet the vision.” The objective of returning to NASA the ability to launch its own astronauts to the International Space Station (ISS), however, was and still is a central priority. 

*Bridenstine’s claim that “the timelines never changed” is explicitly false. In reality, Boeing and SpaceX launch schedules almost immediately changed as a direct result of systematic Congressional underfunding, slipping at least two years after egregious budget cuts from 2011-2014.

Musk further clarified that “the SpaceX Commercial Crew Program is within 1% of the (federal) budget”, meaning that Crew Dragon’s development costs have almost exactly matched the $2.6B NASA awarded SpaceX to build the spacecraft. He went on to reinforce that SpaceX has continuously operated within the confines of that overarching budget, while the three or so years of delays Crew Dragon has suffered can in many ways be traced directly back to the fact that “the NASA [budget] request for Commercial Crew for several years was substantially reduced by congress, I think in some cases by 50%.”

Technicians swarm around Crew Dragon capsule C204 in a bid to prepare the spacecraft for SpaceX’s first astronaut launch. (Teslarati – Pauline Acalin)

As Musk notes, in response to such a dramatic lack of funding, SpaceX impressively “didn’t spend more money, it just took longer”. He also politely hinted at his awareness of the political machinations that caused those shortfalls, stating that in “the same years that commercial crew was dramatically underfunded, some other unmentioned programs were overfunded.” The “unmentioned programs” that Musk alluded to are, of course, NASA’s own Space Launch System (SLS) and Orion spacecraft, both of which are infamously behind schedule and over budget

As previously reported on Teslarati:

“Former NASA deputy administrator Lori Garver noted that over the ~5 years Congress consistently withheld hundreds of millions of dollars of critical funds from Commercial Crew, NASA’s SLS rocket and Orion spacecraft were just as consistently overfunded above and beyond their budget requests. From 2011 to 2016 alone, SLS and Orion programs requested $11B and received an incredible $16.3B (148%) from Congress, while Commercial Crew requested $5.8B and received $2.4B (41%).” 

Beyond the simple fact that there hasn’t been enough federal funding, Bridenstine also mentioned that CCP has suffered from misaligned – and completely unattainable – timelines given the underfunding. He continued to push his platform that, as the NASA Administrator, he has been focused on returning to “realism when it comes to terms of cost and schedule.” He stated that there needs to be more “realism built into the development timelines.” 

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Crew Dragon capsule C203 and Falcon 9 booster B1046 arrived in Florida around October 3rd ahead of SpaceX’s critical In-Flight Abort (IFA) test. (SpaceX)

In an effort to ensure that the safety of the NASA astronauts remains the top priority for Commercial Crew, Bridenstine clarified that the timeline is a “developmental timeline,” and one which may see further delays should something not go as planned or other safety issues arise. Musk assured that SpaceX is more than capable of supporting CCP and upholding its end of the bargain by stating that “we’re going to get this done. We’re going to get [this] done soon and we’re going to get [this] done right.”

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

Space Reporter.

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Elon Musk

Tesla AI Head says future FSD feature has already partially shipped

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Credit: Tesla

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.”

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.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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