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Former New York mayor rallies cities to prepare for self-driving cars

Former New York Mayor Michael Bloomberg wants cities to be ready for autonomous vehicles. Using a data-driven approach, Bloomberg is developing a set of policy recommendations that will spell out social, environmental, and economic adjustments that cities will need to make in order to accommodate a generation of autonomous vehicles.
Austin, Los Angeles, Nashville, Buenos Aires, and Paris will be pilot cities and join in the earliest conversations. He’ll add five more cities to the list before the year is out.
“The advent of autonomous cars is one of the most exciting developments ever to happen to cities,” the three-term mayor said. “And if mayors collaborate with one another, and with partners in the private sector, they can improve people’s lives in ways we can only imagine today.”
Despite Tesla’s recent announcement that all its vehicles produced after October 10, 2016 will have the hardware needed for Full Self-driving, most cities have not begun to anticipate the effects of autonomous driving on their infrastructures. Bloomberg’s initiative may help cities and urban planners in particular to better understand how to maintain roads, train workers, design institutions, and plan land usage to accommodate what seems likely to be quickly expanding autonomous vehicle use in cities. Much speculation exists about the impact that autonomous vehicles may have on urban areas.
Carlo Ratti, Director of MIT Senseable City Lab said, “Vast areas of urban land currently occupied by parking lots and roads could be reinvented for a whole new spectrum of social functions.” Audi Urban Futures Initiative’s Lisa Futing adds, “The biggest change to the urban fabric will be to parking infrastructure. Parking will be moved indoors and outside of city centers, freeing up outdoor lots and spaces for development and public space.”
Anthony Townsend, author of Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, thinks attention should be devoted to all autonomous vehicles, not just cars. “It’s actually trash trucks, trailers, delivery vans, taxis, and other vehicles that take up much of the space in cities. They will be completely transformed by automated technologies.” Townsend argues that those changes plus autonomous mass transit will make cities more efficient and livable.
Colin Nagy outlined in The Guardian how transportation as an efficient and harmonious utility could become seamless due to an interface between autonomous vehicles and public transport. He offered a vision in which “we’ll see safer places where no one dies from unnecessary accidents, and we’ll see the things we love about cities get better because public spaces will be opened up.”
Bloomberg’s philanthropic arm and the Aspen Institute want to start the discourse around cities’ anticipation of autonomous vehicles by getting mayors, academics, and other experts talking and planning. This most recent endeavor by Bloomberg extends his early career vision of information technology translated into innovation, which he implemented while in public office. With a passion for public health and efforts to reduce poverty, Bloomberg’s often ground-breaking programs have been duplicated across the country. While in office he created innovative plans to fight climate change and promote sustainable development, and New York’s carbon footprint was cut by 19% as a result. As chair of the C40 Climate Leadership Group from 2010 – 2013, he drew international attention to cities’ leading role in the fight against climate change. Now he’s turning to autonomous vehicles, recognizing that cities have a mandate to provide safe and sustainable environments for their citizens while also adapting to changing technologies.
News
Tesla Model 3 gets perfect 5-star Euro NCAP safety rating
Tesla prides itself on producing some of the safest vehicles on the road today.

Tesla prides itself on producing some of the safest vehicles on the road today. Based on recent findings from the Euro NCAP, the 2025 Model 3 sedan continues this tradition, with the vehicle earning a 5-star overall safety rating from the agency.
Standout Safety Features
As could be seen on the Euro NCAP’s official website, the 2025 Model 3 achieved an overall score of 90% for Adult Occupants, 93% for Child Occupants, 89% for Vulnerable Road Users, and 87% for Safety Assist. This rating, as per the Euro NCAP, applies to the Model 3 Rear Wheel Drive, Long Range Rear Wheel Drive, Long Range All Wheel Drive, and Performance All Wheel Drive.
The Euro NCAP highlighted a number of the Model 3’s safety features, such as its Active Hood, which automatically lifts during collisions to mitigate injury risks to vulnerable road users, and Automatic Emergency Braking System, which now detects motorcycles through an upgraded algorithm. The Euro NCAP also mentioned the Model 3’s feature that prevents initial door opening if someone is approaching the vehicle’s blind spot.
Standout Safety Features
In a post on its official Tesla Europe & Middle East account, Tesla noted that the company is also introducing new features that make the Model 3 even safer than it is today. These include functions like head-on collision avoidance and crossing traffic AEB, as well as Child Left Alone Detection, among other safety features.
“We also introduced new features to improve Safety Assist functionality even further – like head-on collision avoidance & crossing traffic AEB – to detect & respond to potential hazards faster, helping avoid accidents in the first place.
“Lastly, we released Child Left Alone Detection – if an unattended child is detected, the vehicle will turn on HVAC & alert caregivers via phone app & the vehicle itself (flashing lights/audible alert). Because we’re using novel in-cabin radar sensing, your Tesla is able to distinguish between adult vs child – reduced annoyance to adults, yet critical safety feature for kids,” Tesla wrote in its post on X.
Below is the Euro NCAP’s safety report on the 2025 Tesla Model 3 sedan.
Euroncap 2025 Tesla Model 3 Datasheet by Simon Alvarez on Scribd
Elon Musk
USDOT Secretary visits Tesla Giga Texas, hints at national autonomous vehicle standards
The Transportation Secretary also toured the factory’s production lines and spoke with CEO Elon Musk.

United States Department of Transportation (USDOT) Secretary Sean Duffy recently visited Tesla’s Gigafactory Texas complex, where he toured the factory’s production lines and spoke with CEO Elon Musk. In a video posted following his Giga Texas visit, Duffy noted that he believes there should be a national standard for autonomous vehicles in the United States.
Duffy’s Giga Texas Visit
As could be seen in videos of his Giga Texas visit, the Transportation Secretary seemed to appreciate the work Tesla has been doing to put the United States in the forefront of innovation. “Tesla is one of the many companies helping our country reach new heights. USDOT will be right there all the way to make sure Americans stay safe,” Duffy wrote in a post on X.
He also praised Tesla for its autonomous vehicle program, highlighting that “We need American companies to keep innovating so we can outcompete the rest of the world.”
National Standard
While speaking with Tesla CEO Elon Musk, the Transportation Secretary stated that other autonomous ride-hailing companies have been lobbying for a national standard for self-driving cars. Musk shared the sentiment, stating that “It’d be wonderful for the United States to have a national set of rules for autonomous driving as opposed to 50 independent sets of rules on a state-by-state rules basis.”
Duffy agreed with the CEO’s point, stating that, “You can’t have 50 different rules for 50 different states. You need one standard.” He also noted that the Transportation Department has asked autonomous vehicle companies to submit data. By doing so, the USDOT could develop a standard for the entire United States, allowing self-driving cars to operate in a manner that is natural and safe.
News
Tesla posts Optimus’ most impressive video demonstration yet
The humanoid robot was able to complete all the tasks through a single neural network.

When Elon Musk spoke with CNBC’s David Faber in an interview at Giga Texas, he reiterated the idea that Optimus will be one of Tesla’s biggest products. Seemingly to highlight the CEO’s point, the official Tesla Optimus account on social media platform X shared what could very well be the most impressive demonstration of the humanoid robot’s capabilities to date.
Optimus’ Newest Demonstration
In its recent video demonstration, the Tesla Optimus team featured the humanoid robot performing a variety of tasks. These include household chores such as throwing the trash, using a broom and a vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, and closing a curtain, among others. The video also featured Optimus picking up a Model X fore link and placing it on a dolly.
What was most notable in the Tesla Optimus team’s demonstration was the fact that the humanoid robot was able to complete all the tasks through a single neural network. The robot’s actions were also learned directly from Optimus being fed data from first-person videos of humans performing similar tasks. This system should pave the way for Optimus to learn and refine new skills quickly and reliably.
Tesla VP for Optimus Shares Insight
In a follow-up post on X, Tesla Vice President of Optimus (Tesla Bot) Milan Kovac stated that one of the team’s goals is to have Optimus learn straight from internet videos of humans performing tasks, including footage captured in third person or by random cameras.
“We recently had a significant breakthrough along that journey, and can now transfer a big chunk of the learning directly from human videos to the bots (1st person views for now). This allows us to bootstrap new tasks much faster compared to teleoperated bot data alone (heavier operationally).
“Many new skills are emerging through this process, are called for via natural language (voice/text), and are run by a single neural network on the bot (multi-tasking). Next: expand to 3rd person video transfer (aka random internet), and push reliability via self-play (RL) in the real-, and/or synthetic- (sim / world models) world,” Kovac wrote in his post on X.
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