News
(Updated) SpaceX’s next launch is a first step to rival Comcast and Time Warner
Updated February 21: Due to strong upper-level winds, SpaceX has postponed the launch to the same time on Thursday, 6:17 a.m. PST, 9:17 EST. CEO Elon Musk took to Twitter to address the delay, “High altitude wind shear data shows a probable 2% load exceedance. Small, but better to be paranoid.”
Update: SpaceX has delayed the launch of PAZ and its Starlink prototype satellites from Sunday, February 18 to Wednesday the 21st in order to complete additional tests and checks of an upgraded payload fairing. Wednesday’s new instantaneous launch window remains unchanged – 6:17 a.m. PST, 9:17 EST.
Standing down today due to strong upper level winds. Now targeting launch of PAZ for February 22 at 6:17 a.m. PST from Vandenberg Air Force Base.
— SpaceX (@SpaceX) February 21, 2018
Not long after SpaceX’s recent, flawless Falcon Heavy debut, the company has completed a successful static fire of a flight-proven Falcon 9 on the West coast. SpaceX is preparing to send the Spanish government’s PAZ imaging satellite skyward aboard the same rocket that launched Formosat-5 for the Taiwanese government in August 2017.
Amazingly, this means that three of the four launches conducted by SpaceX in the last two months will have made use of reused Falcon 9 boosters, something I am choosing to take as foreshadowing for the coming months. By all appearances, the rocket company has been eminently successful in enacting a true industrial phase change towards the acceptance of flight-proven rocketry – a hard-earned achievement made possible by a combination of incredible reliability and unexpectedly positive responses from government agencies like NASA and the USAF.
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- SpaceX is readying one of three flightworthy reused boosters for its final flight, NET June 4. (SpaceX)
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- GovSat-1’s sooty booster from late January 2018. (Tom Cross)
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- Falcon Heavy’s incredible debut also featured two flight-proven boosters – the side cores were converted from reused Falcon 9s. (Bill Carton)
A relatively light payload, PAZ weighs in just shy of 1400 kg. However, despite a lack of confirmation, it is known that riding along with the imaging satellite are two highly significant prototype satellites, built by SpaceX itself. Deemed Microsat 2A and 2B in FCC licensing applications, the small 400 kg satellites will act as SpaceX’s first-ever flight test of integrated satellite hardware – a massive step towards realizing the company’s dream of Starlink, a global internet constellation meant to provide service of the same caliber (or better…) as providers like Comcast, Time Warner, and others. This will be a major moment if successful, and will make SpaceX the first US company to successfully launch its first prototype internet satellites intended for low Earth orbit (200-1000 miles above Earth), a factor that would make them far more viable as a competitive alternative to ground-based internet than the current heavyweights in geostationary orbit (30,000+ miles above Earth).
Those distances are crucial: such a long distance between user and terminal (60,000+ miles round trip) results in what the average person would consider “lag” or simply unresponsive internet, where actions take as long as several seconds to register (such as clicking a link). This makes things like gaming, video chat, and more effectively unusable. However, thanks to the miniaturization enabled by the relentless progress of electronics technologies, tiny satellites (100-500 kg) with electric propulsion are rapidly becoming a viable alternative and threat to the massive (4000-8000 kg) communications satellites placed into geostationary orbit. Through mass production and lower costs to orbit, a giant network of magnitudes smaller satellites can realistically beat those giant satellites by being closer to the Earth. This means that more satellites in a given network will more frequently reenter the Earth’s atmosphere and be destroyed, requiring the constant launch of reinforcements, but this new paradigm is actually a viable strategy.
A beautiful string of Iridium NEXT satellites deployed into the sunrise. (SpaceX)
SpaceX’s own Microsats, prototypes for a constellation likely to be named Starlink, are quite possibly the most promising entrants among a sea of interested constellation operators. With the addition of laser-based communications links between each or most of the Starlink satellites planned to be placed in orbit, SpaceX’s constellation will be truly unique in its extreme flexibility as a giant, global mesh network.
By using lasers, latency (lag) will be far less significant and will enable SpaceX to distribute its network’s availability beyond the capability of any individual satellite, known as a decentralized network. As always, SpaceX’s choice to pursue such a configuration is extraordinarily ambitious. Still, the very fact that Microsat 2A and 2B are scheduled for launch just days from now suggests that the company’s near-silent satellite development program, employing several hundred people all over the West coast, has seen some considerable successes. In other words, it’s likely not a coincidence that the first flight test of a Starlink satellite will actually feature two satellites – one cannot test laser interlinks with just one satellite.
All things considered, fingers crossed for SpaceX on this flight-proven commercial mission. If all goes well with both PAZ and the Starlink prototypes, SpaceX will be one huge step closer to being able to provide truly universal, affordable, and high-quality internet.
Stay with us on Twitter and Instagram as Teslarati’s West Coast photojournalist, Pauline Acalin, will bring us on the ground coverage at California’s Vandenberg Air Force Base ahead of, and on the day of, the PAZ mission.
Follow along live as we cover these exciting proceedings live on social media!
Teslarati – Instagram – Twitter
Pauline Acalin – Twitter
Eric Ralph – Twitter
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
