SpaceX and competitor United Launch Alliance (ULA) are on track to launch their Falcon 9 and Atlas V rockets less than 25 hours apart.
Slightly delayed from its initial target of June 27th or 28th, SpaceX confirmed on Tuesday that a Falcon 9 rocket is ready to launch the European-built SES-22 no earlier than (NET) 5:04 pm EDT (21:04 UTC) on Wednesday, June 29th. Just 1.5 miles (2.4 km) to the north of SpaceX’s Cape Canaveral Space Force Station (CCSFS) LC-40 pad, ULA says it’s also on track to launch an Atlas V 541 rocket carrying a batch of rideshare payloads for the US military as early as 6pm EDT (22:00 UTC), Thursday, June 30th.
Both Falcon 9 and Atlas V will be carrying satellites destined for geostationary orbit (GEO), a location roughly 36,000 kilometers (~22,250 mi) above Earth’s surface where spacecraft orbit at the exact same speed as Earth’s rotation. As a result, spacecraft in GEO effectively hover in one spot in the sky to a ground observer, which makes the orbit optimal for some kinds of Earth observation and communications missions. SES-22 is a relatively ordinary commercial GEO communications satellite. ULA’s USSF-12 mission will carry a Wide Field Of View (WFOV) missile launch detection satellite and a mysterious secondary payload called the “USSF-12 Ring,” which ULA says is “a classified mission to demonstrate future technology for the Department of Defense.”
USSF-12’s Atlas V rocket will cost the military roughly $175 million and, like all other Atlas launch vehicles, is fully expendable. The Atlas V booster uses refined kerosene (RP-1) fuel and liquid oxygen oxidizer and is powered by a Russian-built RD-180 engine. The rocket’s Centaur upper stage uses liquid hydrogen (LH2) and LOx propellant and can be powered by one or two US-built RL-10 engines. ULA augments that basic Atlas V variant’s relatively poor performance by adding anywhere from 1-5 solid rocket boosters at its base, which can double the total payload a given Atlas V can launch to most Earth orbits.
Thanks in large part to the greater efficiency of Atlas V’s hydrolox Centaur upper stage, the high-end variants of the rocket with four or five SRBs are capable of launching a significant payload (~3.9 tons or ~8600 lb) directly to GEO, which is where USSF-12 will be heading. Falcon 9 will launch SES-22 to a less challenging geostationary transfer orbit (GTO), which leaves a small portion of the orbit-raising process to the payload.
In return, SpaceX will be able to recover and reuse Falcon 9’s booster and payload fairing and SES will pay more like $50-70 million (and a few extra months) to get its satellite to GEO. It’s quite likely that Falcon 9 would be able to launch a few tons directly to GEO in a fully-expendable configuration, but SpaceX’s Falcon Heavy rocket is able to offer even better direct-to-GEO performance for a similar price by expending one of its three Falcon 9-derived boosters, so the company has never tried to sell that service for Falcon 9.
Tune in below around 4:50 pm EDT (20:50 UTC) to watch SpaceX’s 27th launch of 2022 live. ULA will begin streaming Atlas V’s USSF-12 launch around 24 hours later.
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
