News
SpaceX kicks off $750M investment round as BFR and Starlink infrastructure needs grow
Reuters reports that SpaceX has moved forward with an effort to raise capital through a leveraged loan and is now circulating a debt investment opportunity 50% greater than originally reported by Bloomberg.
With the maximum capital raise now capped at $750M with Bank of America in place of Goldman Sachs as the loan guarantor, SpaceX could rapidly find itself flush with funds that will be instrumental in the completion of major infrastructure expansion projects for its Starlink satellite constellation and next-gen BFR rocket and spaceship.
SpaceX is out with price talk on its $750m loan and it's in the L+400-425 range. w/ @KristenHaunss – https://t.co/WCFlWpEhjS
— Jonathan Schwarzberg (@theschwarzberg) November 7, 2018
Particularly noteworthy is the fact that SpaceX – according to sources that spoke with Reuters – is playing their financial cards very close to the chest, presumably suggesting that interested investors are being faced with extreme secrecy over the company’s finances, assuming they are being allowed much access at all. Given how gilded and relatively exciting SpaceX is, investors may be more than willing to shrug off the inherent high-risk, high-reward nature of commercial spaceflight and swallow an unusual burden of secrecy and opaque corporate insight.
Assuming that SpaceX is able to successfully secure enough investors to raise the full $750M, this offering could mark a turning point in the way SpaceX approaches major capital expenditures, particularly at a point in time where the company is likely to imminently require massive amounts of cash to prevent major schedule delays for both Starlink and BFR. With more than two years and a full 35 successful launches separating SpaceX from their last catastrophic failure, the company’s financial outlook – at least from an external perspective – is healthier than its ever been, and the manner with which Falcon 9 has rapidly devoured a majority of the global commercial launch industry is extremely promising.
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- An unofficial analysis of SpaceX’s first ~1600 Starlink satellites. (Mark Handley)
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- One of the first two prototype Starlink satellites separates from Falcon 9’s upper stage, February 2018. (SpaceX)
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- A closeup of BFS’ nose section, featuring impressively varied tile-sizes, joining methods, and extremely precise curves on the interface between canard wings and the hull. (SpaceX)
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- SpaceX’s BFR mandrel, a tool used to form the rocket’s largest composite structures. (SpaceX)
Further, SpaceX hopes to lower the average cost of rocket launches by at least one or two magnitudes with the introduction and optimization of the next-gen BFR rocket, while its prospective Starlink satellite constellation has the potential to disrupt an unbelievably vast and stagnant global communications market. In order to even begin to make either or both aspirations real, SpaceX will need to construct wholly new production, test, and launch facilities capable of manufacturing an unprecedented number of satellites (between ~4400 and ~12000) and supporting what would be the largest and most advanced commercial rocket ever built.
Altogether, these many towering challenges will demand major investments in infrastructure with no real guarantee of returns. If the market will bear it (and it seems to be more than willing), leveraged loans – essentially debt equity backed by large banks or institutions – is one of the best possible ways to raise large amounts of money for risky prospects, particularly for a company as successful and glamorous as SpaceX. With any luck, investors will be luxuriously rewarded for going out on a relative limb.
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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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
