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SpaceX’s next commercial Falcon Heavy launch to carry Astranis rideshare satellite
Geostationary satellite communications startup Astranis has decided to move its first operational satellite launch from a SpaceX Falcon 9 to a Falcon Heavy, effectively securing the massive rocket its first commercial rideshare payload.
While not technically Falcon Heavy’s first rideshare payload and not the rocket’s first commercial rideshare launch contract, Astranis’ first 400 kg (~900 lb) MicroGEO satellite nevertheless appears set to become the first commercial rideshare payload to actually fly on the world’s largest operational rocket. Not all that dissimilar to Starlink in scope and its desire to disrupt a stagnant industry, Astranis wants to offer global communications services providers a different route to geostationary internet and broadcast solutions. Unlike SpaceX’s constellation, the startup’s MicroGEO satellites are designed for geostationary orbits ~36,000 km (~22,200 mi) above Earth’s surface and more than 60 times higher than Starlink.
However, like Starlink satellites, MicroGEO will feature exceptional density (throughput per kilogram), weighing a magnitude less than average modern geostationary communications satellites while still offering up to 10 Gbps of bandwidth. Expected to cost around $40M apiece compared to ~$100M+ for most traditional offerings, the value proposition of small Astranis satellites with 5-10 times less bandwidth admittedly gets a bit blurrier, but the company should still offer a viable alternative for companies and countries that just don’t need a massive satellite.
For example, Astranis’ first customer and the buyer behind the first MicroGEO satellite – known as Aurora 4A – is Pacific Dataport, a company focused on delivering connectivity throughout Alaska – one of the most remote and sparsely populated places on Earth. That combination of attributes makes providing broadband communication services spectacularly difficult and satellite internet the perfect (and, to an extent, the only viable) solution. However, a full $100M+ geostationary communications satellite with 50-100+ Gbps of bandwidth would likely far outweigh the needs of Alaska’s ~730,000 residents – especially when most Alaskans live in the state’s few large cities, most of which already have passable internet connectivity.
As such, it’s easy to see why a small but high-performance geostationary satellite like the kind Astranis offers might be a perfect fit for an Alaskan internet provider. While low Earth orbit (LEO) constellations like OneWeb and SpaceX’s Starlink do offer far more bandwidth and a user experience potentially as good or better than a wired connection almost anywhere on Earth, both companies first have to launch hundreds or thousands of satellites to ensure continuous coverage. Both Starlink and OneWeb are a ways away from offering continuous coverage in polar regions.
Geostationary satellites – especially those as small as Aurora 4A – offer a significant shortcut, requiring just a single satellite and ground stations in one or a few very specific regions to fully complete a communications network. Of course, thanks to universal limits posed by the speed of light, geostationary internet customers end up saddled with extreme latency (ping on the order of 300-1000ms) and strict individual bandwidth limits. But in places like Alaska, where there can easily be no alternative for the most rural residents, Astranis – or just about anything – could bring welcome relief.
Now, Astranis says it has moved the first MicroGEO satellite from a SpaceX Falcon 9 rocket to rideshare payload on Falcon Heavy’s upcoming ViaSat-3 launch, scheduled no earlier than Q2 2022. According to the startup, doing so will allow the tiny satellite to begin operations over Alaska mere days or a few weeks after launch, saving months of orbit-raising thanks to Falcon Heavy’s performance. That’s only possible because, as the Astranis press release also revealed, Falcon Heavy is scheduled to launch the 6.4 ton (~14,100 lb) ViaSat-3 and 400 kg (~900 lb) Aurora 4A satellites directly to geostationary orbit (GEO). If Falcon Heavy’s upcoming USSF-44 mission launches on schedule next month, ViaSat-3 will be SpaceX’s second direct-to-GEO mission ever and the company’s first for a commercial customer.
Assuming SpaceX is still able to recover two – or even all three – of Falcon Heavy’s side boosters while launching almost 7 tons (~15,500 lb) of satellites directly to GEO, it will also demonstrate just how much of a force to be reckoned with it really is, well and truly leaving competitors ULA and Arianespace with nowhere to hide on the open market.
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.”
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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.
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
