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SpaceX closes out 2021 with $1.85 billion in new funding
On the eve of the last day of 2021, SEC filings show that SpaceX has secured another $337 million, bringing the total funding the company has raised this year to approximately $1.85 billion.
While there’s evidence that SpaceX’s Falcon and Dragon launch business is easily profitable on its own, the company has been simultaneously developing a next-generation rocket (Starship) and an unprecedentedly ambitious internet satellite constellation (Starlink) for at least the last 5-6 years. Additionally, SpaceX developed Falcon booster reusability and Falcon Heavy entirely on its own at a total cost of at least $1-2 billion. In short, rocket development is incredibly expensive, and adding a far more ambitious rocket and an immense satellite constellation into the mix has created an insatiable demand for fresh capital.
Investors have been more than eager to satisfy that demand, practically chomping at the bit to buy SpaceX equity or debt over the last six years. Since 2015, SpaceX has raised an average of more than $1B per year for the last seven years.
That funding has accomplished a great deal. As of the end of 2021, SpaceX has built and launched 1869 operational Starlink satellites in 25 months, more than 1750 of which are still in orbit and working. SpaceX has also built hundreds of thousands of ‘user terminals’ – dishes and WiFi routers that currently connect more than 150,000 subscribers to the internet even while the service remains in beta.
Starship, while somewhat behind its CEO’s optimistic schedules, continues to march towards its first spaceflight and orbital-velocity launch attempt – possibly in the first half of 2022. With help from its Hawthorne, CA headquarters, SpaceX’s Starbase factory continues to churn out Starship, Super Heavy booster, and test tank prototypes and appears to be ramping back up after six or so months of relative quiet. Having produced approximately 150 Raptor 1 and Raptor 1.5 engines in the last two years, Hawthorne is now focused on ramping up production of Raptor 2 – an upgraded engine variant capable of producing up to 25% more thrust while, in theory, being far cheaper to produce.
In about 12 months, SpaceX has also built – from nothing – an orbital launch site on the verge of being ready to support the first test flights of the largest, heaviest, and most powerful rocket ever built. To accommodate the massive vehicle, SpaceX has also nearly completed the largest cryogenic tank farm ever built for a launch site and partially filled at least four or five of its seven cryogenic storage tanks. Alongside that tank farm, the company has more or less completed a skyscraper-sized launch tower and outfitted it with three giant, moving arms – two of which are designed to stack Starship on Super Heavy and, maybe one day, catch ships and boosters out of mid-air.
According to a company-wide email CEO Elon Musk recently wrote but subsequently downplayed on Twitter, SpaceX’s financial health could be heavily dependent on the successful start and expansion of Raptor 2 production to enable Starship to begin launching new and much-improved Starlink V2.0 satellites. Those satellites are several times larger than V1.0 or V1.5 spacecraft, apparently making it hard or impossible for Falcon 9 to cost-effectively launch them.
On top of building and activating new factories capable of producing millions of Starlink user terminals per year, completing the first phase of orbital Starship development, ramping up Raptor 2 production, starting to build a fleet of operational Starships and Super Heavy boosters, continuing Falcon 9 Starlink V1.5 launches, and simultaneously building or completing no less than three orbital Starship launch sites in Florida and Texas, SpaceX thus also apparently needs to complete Starlink V2.0 satellite development and effectively build one or several entirely new production lines to start producing the substantially different spacecraft.
A large portion of SpaceX’s 2021 funding – especially the ~$337M raised in the last two weeks – will likely help support a portion of all those development efforts next year.
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
