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SpaceX Falcon 9 fires up ahead of second to last 2019 launch and landing
SpaceX has successfully static fired a Falcon 9’s booster engines ahead of its second to last launch and landing of 2019, on track to make December the company’s busiest month of the year.
About a month after successfully lofting 60 Starlink satellites and 11 days after sending Cargo Dragon on its way to the ISS for CRS-19, SpaceX has two more launch scheduled in 2019: Kacific-1 no earlier than (NET) December 16th and Starlink-2 NET December 30th.
For SpaceX, the turn of the decade will mark the end of an historic year – let alone decade – of milestones for the intrepid commercial space company, including achievements like’s Crew Dragon flawless orbital launch debut, the fourth flight of a refurbished Falcon 9 booster, the first-ever reuse of a flight-proven payload fairing, and a duo of spectacular Starhopper flight tests to name just a few.
First up, SpaceX will fly twice-flown Falcon 9 booster B1056.3 for the third time. B1056.3 previously supported CRS-17 and CRS-18, back to back Cargo Dragon space station resupply missions for NASA. Currently targeting a Monday, December 16th launch, SpaceX is set to place the jointly-owned JCSAT-18/Kacific-1 broadband communication satellite for Japan’s Sky Perfect JSAT Corp. and Singapore’s self-proclaimed “next-generation broadband satellite operator”, Kacific Broadband Satellites.
According to a Kacific, after deploying from Falcon 9 and circularizing into a geostationary orbit some 22,000 miles (36,000km) over the Asia-Pacific region, the JCSAT-18/Kaficic-1 satellite “will stream broadband to 25 nations in South East Asia and the Pacific Islands via 56 spot beams.” All told, the satellite will offer a maximum bandwidth of 70 gigabits per second (Gbps) with each spot beam serving up to 1.25 Gbps.
Kacific was founded in 2013 by CEO Christian Patouraux to provide desperately needed communication services to the Asia Pacific region, “where high prices and unsuitable technology were prohibiting access.” Kacific looks to “provide high speed, affordable and accessible internet to extra-urban, rural, and remote users” with Kacific-1, the company’s first (partially) dedicated satellite.
Ahead of Monday’s launch attempt, the JCSAT-18/Kacific-1 satellite was fully encapsulated inside Falcon 9’s payload fairing, both halves of which SpaceX will try to catch with recovery vessels GO Ms. Tree and GO Ms. Chief in what will be the company’s first simultaneous catch attempt ever. Meanwhile, B1056 has its own recovery attempt penciled in and drone ship Of Course I Still Love You (OCISLY) departed Port Canaveral on December 12th, headed ~650 km (400 mi) downrange. OCISLY arrived at its recovery zone earlier today, as did Ms. Tree and Ms. Chief, now stationed about 140 km (90 mi) further East.
As per usual, Falcon 9 B1056.3 and its expendable upper stage performed a wet dress rehearsal (WDR) and static fire, identical to launch operations minus the rocket actually lifting off. The Kacific-1 mission’s December 16th launch trajectory allows for an 88-minute window from 7:10 pm – 8:38 pm EST (0010-0138 UTC, December 17) and weather forecasts are currently 90% go.
As mentioned, twin fairing recovery vessels GO Ms. Tree and GO Ms. Chief departed Port Canaveral on December 13th in a bid to attempt their first simultaneous Falcon fairing recovery, meaning that each ship will attempt to catch one parasailing fairing half. This mission is technically the second time both ships have port left together for a recovery, but their first whole-airing catch attempt was called off before it could start due to rough seas and high winds in the Atlantic Ocean. Prior to being rechristened Ms. Tree, Mr. Steven suffered severe damage during a planned February 2019 catch attempt, losing its net and two of four arms after the ship was caught in high seas.
Following Kacific-1, SpaceX’s final launch of 2019 – barring delays – will likely be the company’s second dedicated Starlink v1.0 mission, a 60-satellite payload that will almost certainly make SpaceX the world’s largest commercial satellite operator. Starlink-2 is scheduled to launch NET December 30th.
SpaceX will stream Falcon 9’s Kacific-1 launch and landing and the webcast will kick off some 15 minutes before liftoff, NET 6:55 pm ET (23:55 UTC), December 16th.
Check out Teslarati’s newsletters for prompt updates, on-the-ground perspectives, and unique glimpses of SpaceX’s rocket launch and recovery processes.
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
