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Tesla’s Elon Musk shares new insights on “funding secured” tweet as messages with Saudi PIF are revealed
Elon Musk recently shared some insights about his infamous 2018 “funding secured” tweet, which he posted when he announced his intentions to take Tesla private. The Tesla CEO’s recent comments came as text messages between Musk and the Saudi Arabia Public Investment Fund Head were shared online.
The text messages between Musk and the Saudi PIF Head Yasir Al-Rumayyan were revealed as part of a 300-page motion filed late last week by Alex Spiro, the Tesla CEO’s lead attorney. The messages were part of Musk’s deposition with the US Securities and Exchange Commission, which accused the CEO of securities fraud.
In August 2018, Musk announced on Twitter that he was looking to take Tesla private at $420 per share (pre-split) and that he had funding secured. A blog post published soon after explained that Musk’s reference to funding being secured came from previous talks with the Saudi PIF. Musk eventually walked away from the take-private deal, despite Tesla’s financial advisers coming up with a possible list of investors which included Silver Lake and Volkswagen AG.
A look at Musk’s texts to the Saudi PIF Head showed that the CEO was extremely adamant about the sovereign fund confirming that it had shown interest in helping Tesla become a private company. The initial messages shared by Musk’s attorney were calm enough, with the Saudi PIF head confirming that any Tesla venture in Saudi will be 100% owned by the EV maker with no strings attached.
The next messages, which seemed to follow a report which alleged that the Saudi PIF had no interest in helping Tesla go private, were more aggressive.
During his appearance at TED 2022, Musk noted that he has an obsession with the truth. This is something that was extremely evident in his texts with the Saudi PIF Head. Musk confronted Al-Rumayyan about the report, noting that “This is false.” The Saudi PIF Head confirmed Musk’s statement, noting that the report was “Not true” and that “Nobody talked to them (the media).” The Saudi PIF eventually issued a statement, but Musk was not happy with its content and tone.
“This is an extremely weak statement and does not reflect the conversation we had at Tesla,” Musk sternly wrote, also adding later on that the Saudi PIF was “throwing me under the bus.”
Al-Rumayyan’s attempts at placating the Tesla CEO were evident in later messages, with the PIF Head assuring Musk that he was a friend and thus must not be treated like an enemy. “The last thing I want to do is ‘throw you under the bus.’ I am your friend. So, please don’t treat me like an enemy,” the PIF Head wrote to Musk.
Despite the back and forth, however, Musk remained aggravated about the situation. Even after Al-Rumayyan shared another article, Musk noted that the piece was “weak sauce and makes me sound like a liar.” Musk then noted that “There will be no further communication unless you fix the public perception of wishy washy support and interest from the PIF.” Al-Rumayyan’s last messages to Musk shared in Spiro’s filing stated that the Saudi PIF would be working on a statement, a move that the Tesla CEO stated meant “a great deal.”
In recent Twitter posts, Musk shared some more insights on his “funding secured” tweet. According to Musk, and just as the CEO stated in his text messages from 2018, “the head of Saudi PIF committed unequivocally to take Tesla private with me, as witnessed by the Tesla CFO and several others. That is why I said funding was secured.” Musk also posted some fresh criticism of the SEC’s San Fransisco Office, which he described as “puppets” of Wall Street short seller sharks.
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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.”
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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
