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It’s hard to believe that there’s a Tesla Model S out there with nearly 1.2 million miles on its odometer, but indeed there is. And here it is.
The car, a 2014 Model S P85, has racked up 1.18 million miles so far, which works out to approximately 131,000 miles per year. Could you imagine driving that much? And doing so in an electric car, which naysayers often state can’t go the distance. Well, we think this car proves that EVs can be driven a significant amount of miles per year and that the charging infrastructure, at least in some parts of the world, can support high-mileage drives.
Elon Musk hints at a low-cost electric vehicle in the works, made in high volume, with advanced production technology, and the progress in China is a significant factor in Tesla’s success.
Questions to inspire discussion.
What is the status of the next generation Tesla production line?
—Elon Musk reviews the plans for the next generation Tesla production line every week and believes it will be revolutionary. The first production line will be at Giga Texas, with Giga Mexico as the second option.
On their way to building fully autonomous vehicles, self-driving car makers are facing a tall task: training their AIs to be able to respond reliably to any and all scenarios that a car, truck or bus might encounter as well as, or hopefully better, than a human would. Today, a startup with a platform to help with that challenge is announcing a sizeable round of funding to take those strategies up a gear.
Foretellix, which builds verification and validation solutions to test the full range of driver assistance and autonomous systems that are coming out on the market, has closed its Series C at $85 million. The round includes financial investors alongside strategic backers from the automotive and chip industries, a signal of who is already doing business with Foretellix, as well as the longer business trajectory for the startup.
The round is being led by Israeli VC 83North, with Singapore’s Temasek and carmaker Isuzu investing alongside Woven Capital (Toyota’s venture fund), Nvidia, Artofin and previous backers MoreTech, Nationwide, Volvo Group VC, Jump Capital, Next Gear Ventures and OurCrowd. Foretellix may ring a bell for readers: The first close of this round was in May of this year (at $43 million).
Languages are a key factor in human societies. They connect people, serve as a vehicle to pass on knowledge and ideas, but they also distinguish between different groups of people. Languages can therefore tell us a lot about the societies that use them. As languages are constantly changing, it is important to know the factors that play a role in this. Scientists can then reconstruct past processes on the basis of languages.
In a study published today (Dec. 5) in the online journal PNAS Nexus, Kiel linguist Dr. Søren Wichmann, together with colleagues from China, demonstrates that average ambient temperatures influence the loudness of certain speech sounds. “Generally speaking, languages in warmer regions are louder than those in colder regions,” says Dr. Wichmann.
The basic idea behind the study is that we are surrounded by air when we speak and listen. Spoken words are transmitted through the air as sound waves. The physical properties of air therefore influence how easy it is to produce and hear speech.
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Last week, a team of researchers from the University of California, Berkeley published a highly anticipated paper in the journal Nature describing an “autonomous laboratory” or “A-Lab” that aimed to use artificial intelligence (AI) and robotics to accelerate the discovery and synthesis of new materials.
Dubbed a “self-driving lab,” the A-Lab presented an ambitious vision of what an AI-powered system could achieve in scientific research when equipped with the latest techniques in computational modeling, machine learning (ML), automation and natural language processing.
Tesla’s vehicles can now recognize speed cameras as of its latest update, along with several other navigation features that will reportedly be coming soon.
Code sleuth and Tesla update observer Greentheonly said on Sunday that Tesla software update 2023.27.12 has added the speed camera awareness feature along with other camera awareness capabilities. The update includes the Full Self-Driving (FSD) beta version 11.4.8.1, and it was first spotted in a Tesla vehicle on Saturday, according to Teslascope.
The software update also includes red light camera awareness, including those for fixed and mobile versions, and a combined awareness for red lights and speed cameras. Green also says that several other navigation features appear to be right around the corner, including U-turn control and an “avoid construction on route” setting, as found in internal code for Tesla’s maps system.
Flying electric cars are not just for sci-fi movies. Miami-based Doroni Aerospace announced Friday its all-electric flying car, the Doroni H1, received official FAA Airworthiness Certification. And the best part – it’s designed to fit in your garage.
Doroni claims to be the first company to test manned flights with a 2-seater flying electric car in the US. The Doroni H1 took flight earlier this year.
CEO Doron Merdinger successfully piloted the personal electric vertical takeoff and landing aircraft (eVTOL) this summer. Merdinger said receiving the flight certification “is not just a milestone for our company, but a leap forward for the entire field of personal air mobility.”
Receiving the FAA’s Airworthiness Certification is not just a milestone for our company, but a leap forward for the entire field of personal air mobility.
Doroni Aerospace.
This achievement propels Doroni Aerospace into a leadership position in personal air transportation, marking a significant leap forward for electric flying cars. The H1 had performed its first piloted flight earlier this year.
Elon Musk discusses the progress and challenges of Tesla’s full self-driving technology, expressing less optimism about its timeline but recognizing its potential value and impact on the future of transportation.
Questions to spark discussion.
What is the status of Tesla’s full self-driving technology?
—Elon Musk expects a delay in the release of the new version of Full Self Driving, but believes it will learn dramatically faster.
