News
NHTSA requests public comments for updates to 5-Star Safety Ratings Program
The National Highway Traffic Safety Administration (NHTSA) requests public comments on proposed new safety updates to its 5-Star Safety Ratings Program, also known as the New Car Assessment Program (NCAP).
The NCAP program provides star ratings for crash protection and rollover resistance. It also recommends advanced driver assistance systems (ADAS) and identifies the vehicles with ADAS technologies that pass NCAP’s performance tests.
The NHTSA recently published a notice that proposes significant upgrades to NCAP, listed below.
“NHTSA’s 5-Star Safety Ratings system helps consumers learn more about the safety of new and used vehicles and select the one that’s right for them. The proposed improvements will not only make the program more useful and informative but also keep up with the pace of innovation in vehicle safety,” said Dr. Steven Cliff, NHTSA’s Deputy Administrator.
- Recommending four new driver-assistance technologies: lane-keeping support, pedestrian automatic emergency braking, blind spot detection and blind spot intervention.
- Strengthening the current testing procedures and performance criteria for the driver-assistance technologies already included in NCAP.
- Establishing a 10-year roadmap for future NCAP updates.
- Requesting comment on ways to develop a meaningful ratings system for driver-assistance technologies.
- Considering the potential addition of emerging vehicle technologies related to driver distraction, alcohol detection, seat belt interlocks, intelligent speed assist, driver monitoring systems and rear seat child reminder assist.
- Discussing ways to provide a crash avoidance rating on the window sticker (Monroney label) on new and used vehicles.
“For the first time ever, NCAP includes technology recommendations not only for drivers and passengers but for road users outside the vehicle, like pedestrians. The proposal also seeks comment and a novel approach to tie technological change to reducing driver behaviors that contribute to many crashes, injuries and fatalities. We look forward to reviewing the comments we receive and considering them as we complete this important work,” said Cliff Deputy Administrator.
Comments about the NHTSA’s proposed upgrades to NCAP should refer to the docket number: NHTSA-2021-0002. All comments should be submitted no later than 60 days after March 3, 2022. The public can submit their comments about NHTSA-2021-0002 through the methods listed below.
- Federal Rulemaking Portal: http://www.regulations.gov. Follow the online instructions for submitting comments.
- Mail: Docket Management Facility, U.S. Department of Transportation, 1200 New Jersey Avenue S.E., West Building Ground Floor, Room W12-140, Washington, D.C. 20590- 0001.
- Hand Delivery: 1200 New Jersey Avenue S.E., West Building Ground Floor, Room W12-140, Washington, D.C., between 9 a.m. and 5 p.m. ET, Monday through Friday, except Federal Holidays.
The NHTSA’s proposal for new updates to the NCAP aligns with the U.S. Department of Transportation’s (U.S. DOT) National Roadway Safety Strategy (NRSS). On Thursday, January 27, 2022, U.S. Transportation Secretary Pete Buttigieg announced that the NRSS was the federal government’s plan to address roadway fatalities and serious injuries.
According to Buttigieg’s announcement, annual roadway fatalities declined for many years until progress plateaued in the last decade. During the pandemic, roadway fatalities increased at an alarming rate. The NRSS provides a roadmap to prevent tragic, avoidable deaths and severe injuries on the road.
Read the NHTSA’s proposal below.
NHTSA requests public comments for updates to 5-Star Safety Ratings Program by Maria Merano on Scribd
The Teslarati team would appreciate hearing from you. If you have any tips, reach out to me at maria@teslarati.com or via Twitter @Writer_01001101.
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
