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SpaceX’s Elon Musk set for Starlink launch, Tesla earnings double-header

CEO Elon Musk is set for a unique SpaceX and Tesla double-header with a Starlink launch and earnings report currently scheduled on the same day. (SpaceX

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SpaceX has delayed its latest Starlink launch once more after high winds forced the company to recycle an attempt originally planned for January 27th, setting up SpaceX’s Elon Musk for a Starlink launch and Tesla earnings report on the same day.

Flight-proven Falcon 9 booster B1051 is currently vertical at Cape Canaveral Air Force Station (CCAFS) Launch Complex 40 (LC-40) and has been for more than a week. Perched atop an expendable upper stage attached to the top of the booster, SpaceX’s third batch of 60 upgraded Starlink v1.0 satellites are loaded inside the rocket’s airtight payload fairing, patiently awaiting a launch that’s now been delayed a full 9 days by winter weather both in Cape Canaveral and off the Florida coast.

Most recently, bad sea conditions in the Atlantic Ocean forced SpaceX to delay Starlink V1 L3 an extra 24 hours from a January 28th backup window and the batch of communications satellites are now scheduled to launch no earlier than (NET) 9:09 am EST (14:09 UTC), January 29th. Set to unequivocally reaffirm SpaceX’s position as the owner of the world’s largest private satellite constellation, the mission – should it be a success – will mean that the company has launched its 240th flat-packed Starlink satellite. Additionally, Starlink L3 should feature a number of exciting Falcon 9 recovery events, potentially setting up more than 75% of the rocket’s value for reuse.

Earlier this morning, Teslarati’s own Simon Alvarez offered a glimpse of what to expect from Tesla’s Q4 2019 earnings report, scheduled for 3:30 PM PST (23:30 UTC), January 29th. In short, it looks like Tesla’s highly-anticipated Model Y crossover could find its way to customers much sooner than expected, while additional signs point to another strong quarterly performance that could send the company’s already meteoric stock even higher. As always, CEO Elon Musk is expected to be front and center on the teleconference, which is set to occur just nine hours after SpaceX’s latest 60-satellite Starlink launch.

For SpaceX, the new year has gotten off to a busy start, although Florida’s winter weather has done its best to hamper launch attempts. Beginning with the second launch of Starlink v1.0 satellites (Starlink V1 L2) on January 7th, that Falcon 9 mission was delayed from January 3rd by high seas in the Atlantic Ocean that would have made the booster’s planned drone ship landing extremely risky. In high seas, drone ship decks pitch and buck, creating major uncertainty as Falcon 9 is unable to account for the deck movement.

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Falcon 9 B1051 has been ready to launch the third batch of upgraded Starlink satellites for more than a week, but local weather has yet to cooperate. (Richard Angle)

If the floating landing pad is at the peak or trough of large swells when Falcon 9 is scheduled to land, there is a good chance that the rocket could either hit the deck too hard or cut off its engines before landing, falling a distance equivalent to the height of the swell onto the drone ship. Either scenario would pose a serious risk of damaging or even outright destroying a landing Falcon booster, cutting short any future prospects of reuse.

Most recently, SpaceX performed Crew Dragon’s second-ever launch on a Falcon 9 rocket, intentionally triggering an in-flight abort (IFA) some 90 seconds after launch to test the spacecraft’s ability to keep astronauts safe in even a near-worst-case scenario. That particular launch was also delayed a number of days by high seas in the region the spacecraft was expected to splash down in, conditions that would have severely hampered critical recovery work.

Now a little over a week after Crew Dragon’s successful January 20th Falcon 9 launch, SpaceX’s third launch of the year has been delayed repeatedly by both weather in the recovery area and weather at the launch pad. Originally expected to launch as early as January 20th, a slight Crew Dragon launch delay pushed it to the 21st, where it was then delayed again by high seas to January 24th, and a third time to January 27th. On January 27th, SpaceX got just 40 minutes away from liftoff before it scrubbed the attempt due to high upper-level winds above the launch pad.

(Richard Angle)
(Richard Angle)

Finally, on January 28th, SpaceX announced that bad weather in the recovery area had forced it to skip a backup window scheduled later that day, slipping another 24 hours to 9:09 am EST on January 29th. With any luck, this will be the last in an unusually long series of weather-related delays for the Starlink mission. Aside from Falcon 9 B1051’s third launch and (hopefully) landing, Starlink V1 L3 will also mark the second time ever that twin Falcon fairing recovery ships Ms. Tree and Ms. Chief will attempt to simultaneously catch both halves of a payload fairing — more than worth the wait.

Tune in to SpaceX’s official webcast around 8:55 am EST (13:55 UTC) tomorrow (Wednesday, Jan 29) to watch the company’s third launch of 2020 live.

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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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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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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