UPDATED 1:13 PM EST: Revised IPO opening to 52% from 60%.
Rivian Automotive (NASDAQ: RIVN) is set for its market debut today with an implied valuation of over $93 billion thanks to an over 52% surge in share price from its IPO price of $78 per share.
The most recent developments for the Rivian market debut have set the company’s initial share price at $122 per share, which could put the company’s valuation at around $104 billion. This would make Rivian the sixth-most valuable automaker globally, displacing General Motors with a market cap of $85.92 billion. Rivian would be slightly behind Daimler, which holds a valuation of $109.12 billion.
Earlier this week, Rivian priced its shares for its IPO at between $75 and $78, above its previously expected range. The automaker expected to raise $11.9 billion, making it the second-largest tech IPO of all time, trailing Facebook who raised $16 billion in May 2012.
Rivian’s valuation may be driven by the sentiment trailing its name, which is backed by high-end and well-known investors like Amazon and Ford. During a disclosure earlier this month, Amazon disclosed its 20% ownership position in Rivian, which will produce 100,000 all-electric e-commerce delivery vehicles for the company. The Rivian delivery vans have already been tested in various cities across the United States. The 100,000 deliveries will take place by 2030, with 10,000 units operating by the end of 2022.
Rivian announces a $2.5B funding round, bringing grand total to $10.5B
Rivian is entering an EV market that is becoming more populated with every quarter. Both existing, legacy automotive companies and new, tech-focused startups are attempting to establish new EVs that will dethrone the undisputed king of the sector, Tesla. Rivian, while delivering around 150 units of its introductory R1T as of November 1, is the first automaker to introduce an all-electric pickup to the market. It will have tough competition to fend off as Ford will roll out the F-150 Lightning in Spring 2022. GMC’s Hummer EV is expected to begin deliveries later this year, and the widely-popular Tesla Cybertruck is set to start production in late 2022.
150,000 all-electric vehicles are expected to roll off Rivian’s production lines at its manufacturing facility in Normal, Illinois, annually. Along with the R1T and Amazon delivery vans, Rivian is developing the R1S, an all-electric SUV that could begin deliveries as soon as December, the company’s prospectus said. Rivian also stated that it has 9,500 employees, with over 3,400 of them working at the Normal Factory.
Rivian will have an uphill battle for the remainder of 2021, as it said in the October prospectus. Revenue has not been generated due to its process of ramping current vehicle production, which is costly and challenging to scale. Tesla CEO Elon Musk advised Rivian to ramp and solve production at its single Normal, Illinois factory for the time being. However, rumors of a manufacturing expansion known as “Project Terra” have swirled through the sector, with several U.S. states, including Texas, being discussed as a possible landing spot for Rivian’s second production plant.
Disclosure: Joey Klender is not a RIVN Shareholder.
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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.