News
Tesla Model Y police cruiser draws criticism from taxpayers
The Tesla Model Y police cruiser, which joined the Hastings on Hudson, New York Police Department in late December, is receiving criticism from taxpayers. Unfortunately, many of those who have expressed their concerns about the vehicle’s cost are not fully aware of the long-term savings that the Model Y will give taxpayers and the police department.
The Hastings on Hudson PD posted a video of their new Model Y crossover, equipped with flashing red and blue lights and the necessary equipment for an officer of the law. It was the first-ever Model Y to be used as a police cruiser, and the Department indicated that the all-electric crossover would serve “as the police car assigned to the Detective Division.”
Despite the environmental and long-term cost-effectiveness of the Tesla, many Social Media users were critical of the Department’s choice to purchase the car in place of the traditional Dodge Charger cruiser that many forces across the country have utilized for transportation. The widespread idea that Teslas are only affordable by the rich and famous is still presently being used as an argument based on what Twitter users are saying, even though the automaker has been able to release the Model 3 and Model Y at price points that are affordable for many people. The price alone, along with the industry-leading battery tech and performance of Tesla’s cars, is what has made them the most popular EVs in the United States and China.
One Twitter user gained over 46,000 Retweets and over 172,000 Likes by stating, “This is gonna be parked outside of a public school with a paper shortage, old textbooks, and one computer per classroom.”
A user on Facebook replied to the Hastings on Hudson PD’s Facebook post directly, saying, “DEFUND THE POLICE! Why is this needed?”
The problem with making statements like those above is that the price comparison of the Model Y to a traditional Dodge Charger is not all that different. When factoring in the maintenance and fuel savings that the Department will have in the coming years, the Tesla will be substantially less expensive than the Charger, which will require regular oil changes and maintenance that is more likely to be needed when dealing with a gas car that has so many moving parts.
The cost-effectiveness of driving a Tesla instead of a Charger has already been proven by the Bargersville, Indiana Police Department, who purchased a Model 3 for a cruiser in August 2019. In the first 13 months, the Department saved $6,755 in fuel alone. A Charger, which the Bargersville PD maintained while also operating the Model 3, had a yearly cost of $7,580 for gas and maintenance. The Model 3’s annual cost was only $825.
Actual numbers for 1 year of Tesla model 3 police car pic.twitter.com/lGESk0LgIR
— Todd Bertram (@ToddBertram1) September 29, 2020
Meanwhile, the Dodge Charger Scat Pack, which is a frequently-purchased variant of the vehicle for Police Departments, had an MSRP of $40,500. The Model Y’s Long Range AWD variant starts at just $49,990. Based on the Bargersville PD’s figures, the $9,490 difference would be canceled out in about a year and a half.
While there is plenty of criticism floating around social media because of the Police Department’s choice to purchase a Tesla, the real issue is the consistently spread misinformation. The environmental advantages of driving a Tesla over a powerful, gas-thirsty Charger are enough to convince some, but the long-term savings of going with the EV option are enough to sway even the most critical of skeptics.
What do you think? Leave a comment down below. Got a tip? Email us at tips@teslarati.com or reach out to me at joey@teslarati.com.
H/t: Business Insider
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
