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SpaceX changes the game with 100th rocket launch
Ending exactly five months of delays, SpaceX has completed the first polar launch from Florida in more than half a century, potentially changing the game for the US launch industry.
Coincidentally SpaceX’s 100th launch ever, the SAOCOM 1B mission’s success could significantly redefine what current and future US launch providers are able to achieve with a single launch pad. To pull it off, SpaceX managed to thread the needle between Florida storm cells, avoiding the same fate as the Starlink-11 mission that was scrubbed by inclement weather earlier today. Prior to that delay, SpaceX was targeting – and, based on past performance, would have likely achieved – two orbital Falcon 9 launches and landings in less than ten hours, what would have easily been the quickest back-to-back commercial missions in history.
At 7:18 pm EDT (UTC-4), Falcon 9 booster B1059 lifted off from Cape Canaveral Air Force Station (CCAFS) Launch Complex 40 (LC-40) for the fourth time in nine months. The rocket performed perfectly, sending an expendable Falcon 9 second stage (S2), a payload fairing, SAOCOM 1B, and two rideshare payloads on their way to orbit. Eight minutes after launch and roughly six minutes after stage separate, B1059 successfully returned to SpaceX’s Cape Canaveral Landing Zone (LZ-1) for a soft landing, becoming the first booster to do so in almost six months.
A brisk four minutes after Falcon 9’s first second stage engine cut-off (SECO) and orbital insertion, the rocket gently deployed the ~3000 kg (~6600 lb) SAOCOM 1B satellite. The Argentinian spacecraft extended its own solar arrays and began generating power just a few minutes later.
More than an hour after launch, rideshare payloads GNOMES-1 and Tyvak-0172 deployed as planned, officially completing the Falcon family’s 93rd fully-successful launch. Falcon 9 B1059’s fourth landing was also SpaceX’s 58th since the first successful booster recovery in December 2015.
While an otherwise routine and unexceptional mission, SpaceX has now proven that it’s possible for commercial launch providers to fly to polar orbits – orbits centered around Earth’s poles – from the East Coast. Since 1969, Cape Canaveral (and, far less often, Virginia’s Wallops) launch facilities have offered access to low Earth orbits, geostationary orbits, medium Earth orbits, lunar orbits, and interplanetary trajectories – just shy of anything but polar or sun synchronous orbit (SSO). To reach those orbits, launch providers have traditionally built entirely separate launch facilities on the US West Coast, mostly limited to California’s Vandenberg Air Force Base (VAFB) or, much less often, Kodiak, Alaska.
Building launch pads from scratch – or even reusing portions of old pads – is an extremely expensive and time-consuming endeavor, often taking at least 12-24 months and tens to hundreds of millions of dollars. Blue Origin, for reference, is likely spending $500 million to $1 billion or more to build a Falcon Heavy-class launch pad from scratch for its first orbital rocket, New Glenn. While much smaller rockets from startups like Firefly and Relativity need proportionally smaller and cheaper launch pads, pad construction still end ups being a major expense and hurdle for new entrants. Both Firefly and Relativity have already publicized plans to build two separate launch facilities at Vandenberg and Cape Canaveral.
Now, given enough excess performance for any given payload, it may well be possible for companies like them – particularly Relativity – to move directly to Florida without having to sacrifice polar and SSO launch capabilities that are most commonly used by small satellites. For Blue Origin, it could potentially save the company years of work and hundreds of millions of dollars if it can avoid having to build a second New Glenn launch pad in California. ULA has already expressed interest in exploring East Coast polar launches for its next-generation Vulcan Centaur rocket, potentially preventing the need for expensive changes to one of its California launch pads.
It remains to be seen if the US military will ultimately certify the new Eastern polar launch corridor for its high-value payloads and it’s unclear if the new corridor has any major inclination or cadence restrictions, but it’s safe to say that existing providers are going to eagerly take advantage of this new capability.
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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
