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SpaceX Falcon 9 booster and first thrice-flown fairing return to port [photos]
In a period of just 12 hours last Friday, SpaceX successfully returned Falcon 9 booster B1058 and two payload fairing halves to Port Canaveral and a photographer-laden helicopter was airborne to capture it.
With its safe return to dry land, fairing recovery ship GO Ms. Tree’s bullseye catch of an already twice-flown fairing all but guarantees that the record-breaking payload fairing will have a chance to launch a fourth time in the near future. Meanwhile, Falcon 9 booster B1058 – the first US-built rocket to launch US astronauts since June 2011 – will soon be well on its way to its own fourth flight, likely for one of several dozen Starlink missions SpaceX aims to launch in the next ~15 months.
Aside from placing what CEO Elon Musk says is the last batch of satellites needed to kick off the Starlink internet network’s first public beta tests, the Starlink-12 mission was SpaceX’s 17th this year, leaving the company on track to beat its annual launch record by at least a small margin.
If SpaceX continues to follow its 2020 average of one Falcon 9 launch ever ~16.4 days, the company will likely end the year with 22 missions under its belt, narrowly beating the 21 launches it completed in 2018. If it follows its launch average – ~12.8 days per launch – from just the last four or so months, however, SpaceX could crush its record with some 24 or 25 launches this year. Given recent disruptions from reliably bad weather and a rare last-second launch abort, which trajectory SpaceX will follow over the next ~12 weeks is entirely up in the air.
Regardless of the outcome, though, reusability will have played a foundational role to a degree thus far unprecedented. Barring a major surprise, SpaceX will end 2020 having launched just five new Falcon 9 boosters – three of which will likely launch within the last two months of the year.
For fairing recovery and reuse, 2020 has been an even more groundbreaking, seeing SpaceX (seemingly) begin to find steadier footing with increasingly consistent fairing catches. Impressively, in the measly 11 months since SpaceX first reused a Falcon fairing, nearly a third of all launches and almost half of all Starlink missions have flown with one or two flight-proven halves. Recently, Musk even revealed that SpaceX intends for fairings and boosters to be capable of at least 10 launches each, confirming that Starlink-12’s now thrice-flown fairing half is no fluke.
Drone ship Of Course I Still Love You’s (OCISLY) successful Starlink-12 booster recovery ended an agonizing three weeks of back and forth as SpaceX was tugged in a circle by ULA’s launch priority, technical difficulties, and stormy summer weather. Originally meant to recover Falcon 9 booster B1058 as early as mid-September, the launch slowly slipped its way to October 6th. Beginning in late-September, drone ship Just Read The Instructions (JRTI) joined the fray for its role in SpaceX’s GPS III SV04 launch for the US military, a launch that would also find itself delayed several times.
Two seconds before liftoff, new Falcon 9 booster B1062 automatically aborted its October 2nd launch attempt due to bad pressure readings in at least one of its nine Merlin 1D engines. SpaceX has since taken the rocket horizontal and is likely swapping multiple engines, possibly necessitating a second static fire test before the next attempt sometime later this month. That abort has also delayed SpaceX’s second NASA astronaut launch (Crew-1) from Halloween to mid-November to ensure no commonality.
SpaceX has an absolutely jam-packed fourth quarter ahead of it, ranging from GPS III SV04 and Crew-1 to a Sirius XM radio satellite, a Turkish communications satellite, and the joint NASA/ESA/CNES Sentinel 6A oceanography spacecraft. Stay tuned for updates and spectacular new photos from the Teslarati team.
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
