Rivian is now in discussions about a new incentive arrangement with the state of Illinois, after the electric vehicle (EV) maker unveiled its upcoming R2 SUV earlier this week, now set to be built within the state.
During the automaker’s unveiling of the highly anticipated R2 on Thursday, Rivian said it would start producing the forthcoming SUV at its factory in Normal, Illinois, rather than following initial plans to produce the EV at a future plant in Georgia. Rivian is also pausing construction on the new factory, set to be located outside of Atlanta, in hopes to focus instead on achieving profitability with the upcoming R2, R3 and R3X EVs.
In a statement on Tuesday, the Illinois Department of Commerce and Economic Opportunity (DCEO) referenced the plans for a new incentives package, saying that it would share details upon finalizing certain parts of the proposal.
Tesla Lead Engineer urges Rivian to optimize R2 for existing Supercharger Network
“The elements of an economic development package are still being finalized,” the DCEO said (via Automotive News). “Once they are finalized, we will update the public on the details of the incentive package.”
Deliveries of the R2 are expected to begin in 2026, and the company says the change of plans to produce the R2 at its currently operational Normal facility will help it get the $45,000 SUV on the market sooner. Meanwhile, plans and construction for the Georgia plant are delayed indefinitely.
“Once again, Rivian has reaffirmed the message that Illinois is one of the best places to do business in the country,” DCEO added. “We stand by Rivian and stand ready to support them as they increase capacity at their Bloomington-Normal facility to rollout the R2.”
Rivian has already created more than 8,000 jobs in Illinois, and with the future of the Georgia plant now unclear, the former state has a chance to scoop up additional employment opportunities as the industry turns toward EVs. Still, it isn’t clear whether Rivian plans to expand its Normal factory to accommodate the R2 line or re-tool production lines to increase output, nor is it clear if the addition will add more jobs.
"Ultimately, Rivian exists to not only help transition the world away from combustion fuels and into electrification — we exist to help generate amazing memories in the process of doing so. These vehicles represent our future — what we've been building to with the R1 products and… pic.twitter.com/EW4K43yNHH
— Rivian (@Rivian) March 9, 2024
CEO RJ Scaringe says he expects launching the R2 at its Normal production facility could save the company almost $2.3 billion, after the automaker posted an operating loss of $5.7 billion in 2023.
“Just as we were faced with incredibly daunting challenges during the launch of our flagship R1 product line — ramping production in the throes of a global pandemic amid an unprecedented supply chain crisis — we are applying those same lessons today,” Scaringe wrote in a recent statement. “Historically high interest rates and geopolitical uncertainty are affecting everyone, and we must adjust and stay ahead of those situations.”
Beyond unveiling the expected R2 earlier this week, Rivian also surprised the world by unveiling designs for new compact crossover EVs, dubbed the R3 and R3X. The automaker didn’t share a price or production timeline for the crossovers, though it did say both EV lineups will offer three configurations: single-motor, dual-motor and tri-motor trims. Rivian also says the EVs will have DC fast-charging capabilities, featuring both an NACS and CCS charging option.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
