News
SpaceX announces second Starlink satellite launch in two weeks
SpaceX has announced its second planned Starlink satellite in two weeks, sticking to a trend that could see the company launch more than a thousand communications satellites over the next 12 months.
Barely two weeks after SpaceX opened media accreditation for Starlink-2, the second launch of finalized ‘v1.0’ satellites and third dedicated launch overall, the company has announced that that late-December mission will be followed by another Starlink launch in January 2020. This tracks almost exactly with SpaceX’s reported plans for as many as 24 dedicated Starlink launches in 2020, a feat that would singlehandedly break SpaceX’s current record of 21 launches performed in a single year.
As previously discussed on Teslarati, SpaceX opened media accreditation for Starlink-2 on November 24th, confirming that the company hopes to complete one more 60-satellite Starlink launch before the end of 2019. That mission is currently targeted no earlier than (NET) late-December and would be SpaceX’s last launch of 2019 if current schedules hold.
Regardless of when it happens, there’s a strong chance that the 60 Starlink-2 satellites will make SpaceX the world’s largest individual satellite operator, potentially raising the number of satellites under the company’s command to ~170. According to SpaceX’s announcement, Starlink-3 – another 60-satellite mission – is now scheduled to launch no earlier than January 2020. If Starlink-2 is successful and no more v0.9 spacecraft drop out of the operational constellation, it can be said with certainty that Starlink-3 will unequivocally make SpaceX the world’s largest satellite operator.
Incredibly, if those schedules hold, SpaceX will have gone from two satellites in orbit to the world’s largest satellite constellation operator – by a large margin – in as few as nine months. In fact, after cresting that peak, it will take nothing short of a miracle for SpaceX to be usurped. The company hopes to launch as many as 24 Starlink missions in 2020 and is simply miles ahead of its competitors in its efforts to make high-performance orbital launches as efficient and affordable as possible.
If SpaceX and its executives are to be believed, as early as the very first dedicated Starlink launch (May 2019), the cost of launching Falcon 9 was already significantly less than the cost of its payload of 60 Starlink v0.9 satellite prototypes. CEO Elon Musk and COO Gwynne Shotwell have strongly implied that the per-satellite cost is already well below $500,000, meaning that the absolute worst-case internal cost of a Falcon 9 launch is less than $30M.
If, for example, each Starlink satellite already costs as little as $250,000 to build, it’s possible that SpaceX can already launch a dedicated 60-satellite mission (including launch costs) at an internal cost of less than $30M ($15M for launch, $15M for 60 satellites). Even in the former scenario, a single Starlink launch might cost SpaceX has little as $60M in total.
In a best-case scenario for megaconstellation competitor OneWeb, the company purchased up to 21 Soyuz launches from Roscosmos for “more than $1 billion”, translating to roughly $50 million per launch (rocket costs only). Meanwhile, OneWeb’s satellite design is far more traditional and Soyuz offers significantly less performance than Falcon 9, resulting in a cap of 34 ~150 kg (330 lb) per launch. Finally, OneWeb hopes to build each satellite for about $1M, translating to a best-case per-launch cost of ~$85 million. OneWeb aims to launch once per month after its first 34-satellite mission, currently NET January 30th, 2020.

This is all a very roundabout way of illustrating the fact that once SpaceX becomes the world’s largest satellite operator, nothing short of repeated launch failures or the company’s outright collapse will prevent it from retaining that crown for the indefinite future. Once OneWeb has completed all 21 of its planned Soyuz launches, a milestone unlikely to come before mid-2021, it will have a constellation of ~700 satellites.
Even if SpaceX falters and manages a monthly Starlink launch cadence over the next 13 months, the constellation could surpass OneWeb’s Phase 1 plans as early as Q3 2020 – up to as early as June 2020 if SpaceX manages a biweekly cadence. By the time OneWeb’s constellation is complete, SpaceX could potentially have more than 2000 operational satellites in orbit – perhaps ~600 metric tons of spacecraft compared to OneWeb’s ~100 metric tons.
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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.