News
SpaceX spotted hot-fire testing Falcon 9 Block 5 ahead of its first reflight on August 7
Less than three months after SpaceX debuted its upgraded Falcon 9 Block 5 rocket, the company is set for an unexpectedly sudden inaugural reuse of the first highly reliable and reusable rocket to roll off of the Hawthorne, CA assembly line. Falcon 9 booster 1046 (B1046) is now targeting 1:18 AM EDT, August 7 for its second launch.
Confirmed by visual observation of a sooty Block 5 booster vertical on Cape Canaveral’s Pad 40, this reuse will be just two weeks away from beating SpaceX’s booster turnaround record of 72 days.
Static fire test of Falcon 9 complete—targeting August 7 launch of Merah Putih from Pad 40 in Florida.
— SpaceX (@SpaceX) August 2, 2018
On the ground to visually confirm plans for the historic reuse, Teslarati photographer Tom Cross also managed to capture an intriguing propellant loading and abort test, where SpaceX appeared to intentionally abort a ‘launch’ attempt after rapidly loading a full complement of liquid oxygen (LOX) and rocket-grade kerosene (RP-1).
While not 100% clear why this testing was done today, an extensive understanding of Falcon 9 Block 5’s behavior during propellant late-load and launch abort scenarios are both critical for the reliable operation of the upgraded rockets and invaluable for the first Crew Dragon launches later this year and early next, the latter with astronauts on board. With humans atop the rocket, a deep understanding of the vehicle’s behavior during a wide range of off-nominal scenarios is more critical than ever, be it required by NASA or simply a side effect of due diligence on behalf of SpaceX.
https://twitter.com/_TomCross_/status/1025074341040533504
A new era of reusable rockets
Regardless, the main focus of this mission is to launch a payload for Indonesian operator PT Telkom Indonesia, in this case a ~5800 kg (12800 lb) geostationary communications satellite known as Merah Putih (formerly Telkom 4). On the SpaceX side of things, this mission is absolutely critical for the company’s future – it will mark the (hopefully) successful inaugural reuse of a Falcon 9 Block 5 booster, the first of many dozens or even hundreds to come over the next several years if SpaceX’s can make good on its aspirations.
While not immensely impressive in the sense that B1046’s refurbishment took ~85 days to Block 4’s record 72-day turnaround, that cursory conclusion is far from accurate. The record turnaround with Block 4 booster B1045 was essentially the culmination of more than a year of experience with nearly a dozen Block 3 and Block 4 Falcon 9 reuses. While that experience definitely transferred in part to SpaceX’s first attempt at reusing Falcon 9 Block 5 (and especially so with the actual design of its reusability-focused upgrades), it’s worth noting that the first reuses of Falcon 9s averaged booster turnaround times of 180-250 days, nearly double or triple the time between Block 5’s first-ever launch and that same booster’s first reflight.
-
- Falcon 9 B1046 vents during a launch abort test just before its successful static fire, August 2nd. (Tom Cross)
-
- Drone ship OCISLY preps for its second Falcon 9 recovery in less than three weeks. (Tom Cross)
-
- A new vessel – GO Navigator – joined SpaceX’s fleet on July 31st, taking the place of fairing recovery stand-in GO Pursuit. (Tom Cross)
-
- Merah Putih (formerly Telkom 4) seen preparing for launch in Florida. (SSL)
Even still, B1046’s debut launch, landing, and refurbishment were wholly unique considering that SpaceX – according to Elon Musk – conducted an extensive “teardown” analysis of the pathfinder rocket after it was transported from the drone ship back to one of the company’s Cape Canaveral refurbishment facilities. It’s very likely the case that that teardown was one of the most extensive SpaceX has done with a recovered rocket, couched on the fact that the company’s future is wholly balanced on Falcon 9 Block 5’s success and ease/efficiency of reusability.
That critical teardown process likely took anywhere from 30-60 days, if not simply as long as needed to do it right, after which the rocket was fully reassembled and transported to SpaceX’s Launch Complex 40 (LC-40). Roughly eight days after it arrived at LC-40, B1046 rolled out to the pad’s launch mount, went vertical, and completed a series of tests (including static fire) on Thursday (8/2) afternoon. The static fire was confirmed by a few observers, while Tom Cross captured the first unequivocal proof that the rocket is sooty (and thus B1046).
This moment may seem small on the scale of SpaceX’s many towering achievements, but it will very likely become a fundamental keystone in the future history of affordable access to space.
prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket recovery fleet (including fairing catcher Mr Steven) check out our brand new LaunchPad and LandingZone newsletters!
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
