News
SpaceX on track to become third most valuable private company in the world
SpaceX is on track to become the third most valuable private company in the world if it successfully raises a new round of funding.
First reported and confirmed by CNBC, SpaceX hopes to raise between $500 million and $1 billion via a new investment offering. The Series N round would ultimately value the company at $44 billion – second only to China’s Didi and Bytedance (known in the US for TikTok) – if SpaceX finds significant investor interest at the upgraded $270 share price. Based on the ~$3.4 billion SpaceX has raised over more than a dozen rounds in just the last several years, strong investor demand is all but guaranteed.
The confidence and interest of investors can be explained in large part by SpaceX’s spectacular success in the face of countless systemic and technological challenges, as well as its association with founder and Tesla CEO Elon Musk. Perhaps even more at odds with success than SpaceX’s near-term goals, Tesla’s meteoric rise and iron grip on the global consumer electric vehicle industry has unsurprisingly helped convince many that success is often just a matter of time for Musk’s calculated ventures.
Like several recent fundraising rounds, SpaceX is seeking investors willing to support the company’s long-term vision in the hopes that its Starship and Starlink programs will be as disruptive and revolutionary as they aim to be. CNBC reports that SpaceX is telling prospective investors that Starlink aims to become a major player in a range of industries with a potential global market of more than $1 trillion per year. That figure is almost certainly a best-case theoretical value assuming that SpaceX has completed a vast ~40,000-satellite Starlink constellation and is able to capture almost every single prospective customer.
It’s still within the realm of possibility, though. On its own, Starlink holds the potential to become one of the largest companies in the world – public or private – if SpaceX achieves every ambitious goal it’s set itself to. In that context, there’s a chance that acquiring a stake in SpaceX at a valuation of ~$44 billion will set investors up for unprecedented returns on the order of Tesla investors buying shares for $100-200 in the early 2010s.
Of course, that investment rationale doesn’t even touch on Starship, aside from the fact that Starship will be a necessity if SpaceX is to have any chance of launching and maintaining a constellation of tens of thousands of satellites. Beyond the Starship/Super Heavy launch vehicle’s integral role in future plans for Starlink, the next-generation rocket is arguably a much thornier technical challenge than Starlink while also offering far less return-on-investment (ROI) certainty. Relative to other industries, particularly those with demand for communications services, the global demand for commercial launch services is minuscule, representing just a few billion dollars per year.
Even if Falcon 9 – let alone Starship – dramatically cuts the cost of access to orbit, there’s no guarantee beyond basic economic theory that lowering the barrier to entry will necessarily expand the market for launches. For a radical expansion in demand, entire new space-adjacent industries will have to be created given that the vast majority of modern demand comes from space-based communications companies.
SpaceX has known that this would be the case for at least half a decade, however, and is thus intelligently positioning Starlink as a primary investor focus as far as revenue and profit are concerned. Starlink would thus help SpaceX complete the Starship launch vehicle, which is far more focused on the company’s foundational goal of making humanity a multiplanetary species by enabling the creation of a self-sustaining city on Mars. Still, Starship will need to be revolutionarily affordable, reliable, and reusable for SpaceX to ever even dream of achieving that founding goal.
In the process of tackling those technical challenges, Starship could very well expand the global space industry by one or several magnitudes, but it will remain a major wildcard up until the day it does.
Check out Teslarati’s Marketplace! We offer Tesla accessories, including for the Tesla Cybertruck and Tesla Model 3.
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
