News
SpaceX wins US Air Force contract for Falcon Heavy launch
In an unexpected bode of confidence in the nascent vehicle, SpaceX has competed for and won a $130 million US Air Force launch contract for the massive Falcon Heavy rocket. While not planned to occur until September 2020 at the earliest, the most critical aspect of this development is the fact that the USAF has apparently already certified Falcon Heavy for high-value military launches.
The almost knee-jerk certification of Falcon Heavy for USAF launches makes for an extraordinary contrast when compared with the certification of SpaceX’s Falcon 9 workhorse rocket, a tedious political minefield that took more than two years, led SpaceX to (successfully) sue the federal government, and forced the Air Force to critically reexamine its internal processes after they delayed SpaceX’s certification by six or more months. For that particular endeavor, the USAF required SpaceX to complete three successful Falcon 9 launches, while also preventing SpaceX from engaging in launch contract competitions until their launch vehicle was certified in May 2015.
#SpaceX has won a competitively-awarded #AirForce launch contract for the AFSPC-52 flight. The mission will utilize a #FalconHeavy rocket. Mission will launch by Sept. 2020 from LC-39A at Kennedy Space Center. Statement from Gwynne Shotwell below… pic.twitter.com/a5ka2ov20L
— Chris G (@ChrisG_SpX) June 21, 2018
Jump ahead to 2018 and SpaceX appears to have been allowed to compete for this particular mission – known cryptically as AFSPC-52 – before Falcon Heavy had so much as completed an integrated static fire test. The awe-inspiring rocket did, however, complete a nearly-flawless debut launch in February 2018, a mission that required the company’s Falcon upper stage to survive a lengthy (6+ hour) coast in orbit before igniting its Merlin vacuum engine for one final burn. Regardless of the specifics, many of which have likely been kept under wraps, the Air Force must have been quite impressed with the rocket’s debut performance, and Falcon Heavy has now – according to President and COO Gwynne Shotwell – been certified for USAF missions just four months later.
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- Falcon 9 Block 5 completed its first launch on May 11, carrying the Bangabandhu-1 communications satellite to geostationary transfer orbit. (Tom Cross)
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- Falcon Heavy clears the top of the strongback in a spectacular fashion. Two of the rocket’s three manifested missions are now for the USAF. (Tom Cross)
It’s somewhere between difficult and impossible to accurately compare the different payloads and launches of the Air Force Space Command (AFSPC), but SpaceX’s only competitor ULA was awarded a contract for the launch of two relatively different AFSPC payloads at an average (fixed) cost of $175 million per mission. Those satellites were likely much smaller than AFSPC-52 but they require direct insertion into geostationary orbit (GEO), whereas AFSPC-52 may instead be sent to a geostationary transfer orbit (GTO) before circularizing the orbit under its own power.
Still, SpaceX’s triple-booster Falcon Heavy launch contract will cost the USAF a slim $130m. It’s worth noting that the 2018 AFSPC-8 and -12 contracts awarded to ULA were for the company’s single-booster Atlas 5 rocket, with most of the draw coming from its admittedly advanced, efficient, and extraordinarily reliable Centaur upper stage, tasked with reigniting repeatedly to circularize the orbit of its valuable satellite payloads once in space.
While it requires far less rigor than the Air Force’s more secretive, national security-sensitive satellite launches, SpaceX’s second Falcon Heavy launch – this time with three highly-reusable Block 5 boosters – will also be conducted with the military branch as the primary customer. Known as Space Test Mission-2 (STP-2), Falcon Heavy will be tasked with carrying a stack of dozens of different smallsats to a variety of orbits. Of note, the vast majority of that mission’s payload comes in the form of a 5000-kilogram ballast mass, included because the mission was manifested on Falcon Heavy (instead of the operational Falcon 9) for the sole purpose of facilitating the rocket’s rapid certification for critical Air Force missions.
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- Falcon Heavy may look for more condensed than Delta Heavy, but its performance dramatically outclasses the ULA rocket in all but the highest-energy mission profiles. (SpaceX)
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- The fully-integrated Falcon Heavy rolls out to Pad 39A. For vertical integration, think of this… but vertical. (SpaceX)
STP-2 is currently scheduled for no earlier than (NET) November 2018, while the third launch of Falcon Heavy – the commercial Arabsat 6A communications satellite – is tentatively targeted for December, although it’s almost guaranteed to slip into Q1 2019.
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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.”
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.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
