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Merlin 1D's kerolox exhaust is a blindingly bright, opaque yellow-orange. (Tom Cross) Merlin 1D's kerolox exhaust is a blindingly bright, opaque yellow-orange. (Tom Cross)

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SpaceX Falcon 9 rocket tests engines for first launch and landing of the new decade

Falcon 9 B1049 lifts off for the first time at SpaceX's LC-40 pad in September 2018. (Teslarati)

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SpaceX has successfully fired up a Falcon 9 rocket for the first time in 2020, setting the company up for the first of potentially dozens of Starlink launches over the next 12 months.

On the afternoon of January 4th, SpaceX loaded Falcon 9 with hundreds of tons of liquid oxygen, refined kerosene (RP-1), nitrogen, and helium and ultimately ignited all nine of the booster’s Merlin 1D engines, briefly producing some 7600 kN (1.7 million lbf) of thrust in a routine test known as a wet dress rehearsal (WDR) and static fire. As is tradition, SpaceX confirmed that the test looked successful just a handful of minutes after it was completed and verified that the rocket is now scheduled to launch 60 new Starlink satellites as early as 9:19 pm ET, January 6th (02:19 UTC, Jan 7).

Set to lift off from its LC-40 Cape Canaveral Air Force Station (CCAFS) launch pad, SpaceX’s first launch of the new year and decade hints at what is expected to follow over the course of 2020. In simple terms, the company’s ambitions have never been higher and anywhere from 36 to 38 orbital launches are scheduled between now and 2021 – some 65% of which will likely be internal Starlink missions.

If SpaceX manages to launch even half as many Starlink missions as it says it wants to this year, the company will be heading into 2021 with an operational internet satellite constellation nearly a thousand spacecraft strong – almost enough to ensure uninterrupted global coverage. Already, if SpaceX’s January 6th launch – known as Starlink V1 L2 (the second launch of v1.0 satellites) – goes as planned, the company will almost certainly become the owner of the world’s largest commercial satellite constellation less than eight months after it began launching its unique flat-packed spacecraft.

By designing and shaping the spacecraft for efficient packing, SpaceX’s can launch in incredible number of Starlink satellites on a single Falcon 9. (SpaceX)

In a classic SpaceX move, the company’s Starlink satellite bus is a radical departure from all other commercial spacecraft, opting for a table-like rectangular shape that is extremely flat. While the rectangular shape – likely chosen for the extreme ease of manufacturing it should allow – significantly decreases packing efficiency, Starlink’s flat design and unique deployment mechanism means that SpaceX can fit an unprecedented 60 satellites (each weighing more than 250 kg or 550 lb) into a single lightly-modified Falcon 9 payload fairing.

Ultimately, SpaceX also design its Starlink satellites to be dramatically more robust than any comparable commercial spacecraft, meaning that they are meant to tolerate the violent acoustic launch environment without foam sound suppression panels that otherwise take up space inside Falcon 9’s fairing. Additionally, they are meant to survive the odd collision during their bizarre deployment, in which Falcon 9’s upper stage spins itself like a fan and releases the entire 60-satellite stack at once. Further, this means that Starlink satellites can be transported from their Washington state factory to Cape Canaveral, Florida far more easily and cheaply than almost any other spacecraft of a similar size and weight.

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Falcon 9’s second fourth flight

It’s a mouthful, but SpaceX’s Starlink-2 mission will technically mark Falcon 9’s second fourth flight, meaning that it will be the second time a single Falcon 9 booster launches (and optimally lands) for the fourth time. Thrice-flown Falcon 9 booster B1049 has been assigned to support the launch.

The fourth completed Falcon 9 Block 5 booster, B1049 debuted on September 10th, 2018 on the Telstar 18V satellite launch, followed by a second flight (Iridium-8) in January 2019 and its third and most recent launch in May 2019. B1049’s most recent mission happened to be the very first dedicated Starlink launch, placing 60 Starlink v0.9 spacecraft in orbit in a sort of massive beta test of SpaceX’s cutting-edge satellite technology and design.

In support of Starlink V1 L1, the first launch of finalized Starlink v1.0 satellites, Falcon 9 booster B1048 became the first SpaceX rocket to successfully launch and land four times in November 2019, safely returning to shore aboard drone ship Of Course I Still Love You (OCISLY) a few days later. With (hopefully) two (and soon three) recovered boosters with four flights each under their belts, SpaceX will have a relative wealth of data it can then use to plot the way forward to fifth flights of boosters and beyond – halfway to the minimum Block 5 design goal of 10 launches apiece.

Teslarati photographer Richard Angle (@RDanglePhoto) will be on-site to capture SpaceX’s first Falcon 9 launch and booster recovery of the 2020s. Stay tuned for more details and photos as the launch nears!

Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.” 

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Credit: @BLKMDL3/X

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. 

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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.

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Credit: Tesla China

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.

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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.

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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.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

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.

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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.

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