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Michigan becomes first state to approve self-driving cars for public roads
Michigan has become the first state to approve the sale of autonomous cars for use on public roads. Governor Rick Snyder signed the legislation making the sale of self-driving cars legal on December 9. The legislation is part of a package of four bills that cleared the Michigan senate last September. In addition to authorizing the sale of autonomous cars, the package includes funding for the American Center for Mobility — a research campus where autonomous driving technologies can be tested before being offered to the public.
Proposed American Center for Mobility Credit: Michigan Economic Development Corp
The new law permits the sale of vehicles similar to Google’s autonomous test car that has no steering wheel, accelerator, or brake pedal. “By establishing guidelines and standards for self driving vehicles, we’re continuing that tradition of excellence in a way that protects the public’s safety while at the same time allows the mobility industry to grow without overly burdensome regulations,” Gov. Snyder said at a bill signing ceremony. “We are still the heart and soul of the auto industry, make no mistake about that,” Snyder continued.
The driving force behind the legislative package — which was vigorously supported by Ford and General Motors — is a desire to stop the brain drain of engineers from Michigan to Silicon Valley and other West Coast technology centers like Seattle. The American Center for Mobility will be constructed at the GM’s former Willow Run powertrain factory and automotive testing area. Prior to that, Willow Run manufactured B-24 bombers during World War II and was an important part of a manufacturing structure that made America the so-called “Arsenal of Democracy.”
Willow Run already has some infrastructure that will be useful for testing autonomous cars. It has long straightaways for high speed testing. It features a three level interchange, a high speed loop, and several bridges and tunnels. In addition, it already has the infrastructure needed to test connected car systems and features mock-ups of urban, suburban, and rural environments, according to AutoBlog.
This legislation will turn “the eyes of the world once again on Michigan for its engineering and its research,” says Michigan senator Ken Horn, a co-sponsor on the legislative package. “It’s a different kind of car-building,” Horn said on the Senate floor prior to voting, “but car-building nonetheless.”
It is ironic that Michigan should be so intent on being a leader in some areas while remaining doggedly opposed to innovations in others. The determining factor seems to be what Ford and General Motors want, as they are the tail that wags the dog in Michigan. The state bitterly opposes Tesla’s direct to customer sales model, for instance.
On the one hand, the state has bought shares of Tesla Motors for its retirement fund. Tesla is also a significant presence in Michigan’s manufacturing sector after purchasing the former Michigan-based Riviera Tool Company. But despite all Tesla’s lobbying efforts, the state’s franchise dealers, with substantial support from General Motors, have managed to block any changes to state law that would permit Tesla to open showrooms in the state to sell its cars directly to the public.
The new law permitting the sale of self-driving cars highlights the current struggle between traditional car companies and technology companies. Leading up to next week’s Technology In Motion conference co-hosted by Automotive News, Mike Ableson, vice president of strategy and global portfolio planning for General Motors, said automakers need to look at “the innovations coming out of Silicon Valley from Apple and Google and Samsung and put boundaries around that, not just for the OEM but also for the consumer. How far into the car do you let them come?”
Frank Weith, director of connected services at Volkswagen Group of America, said automakers need to make sure they don’t lose their identity as new technologies play a larger and larger role in the cars of the future. “We don’t want to be just a commodity, selling bulk vehicles to Google or Apple or Uber,” Weith said. “We want to be part of the consumer experience and keep our product up there.”
Both Ableson and Weith pointedly refrain from mentioning Tesla, but the shadow of Elon Musk is clearly a background factor in their remarks.
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
