The attempt began on the evening of March 20, and GWR officials were present at the test site. Engineers from Stadler drove the train in shifts over the night and the following day. When the train stopped at 5:23 pm on March 22, it had traveled 1,741.7 miles (2,803 km) over 46 hours, all on a single fuel tank.
This is six times the distance of FLIRT H2’s advertised range – 285 miles (460 km). However, it is unlikely to be replicated in real-life scenarios since the train did not stop and start multiple times during the record attempt, nor did it travel on different inclines. Nevertheless, it showcased the ability of hydrogen fuel as a potential power source for trains.
An all-electric Toyota pickup may be closer than expected. According to the company’s Thailand president, Toyota will launch an electric Hilux pickup by the end of 2025. The move comes after Japanese rival Isuzu is set to reveal its first 100% electric truck later this month.
Toyota’s Hilux is one of the top-selling pickup trucks globally, so it would make sense for an all-electric version.
The Toyota Hilux is built in six nations with sales across 180 countries and regions. Despite releasing its first “electrified” Hilux Hybrid 48V in December, it still featured a 2.8L diesel engine. The update provided a modest 5% improvement in fuel efficiency.
French automaker Renault is exploring a lucrative business prospect by partnering with companies to extract and recycle lithium and other metals in EV batteries, creating a circular economy that can bring in billions of dollars and reduce reliance on China.
According to Automotive News Europe, Renault aims to be the first European automaker to recycle batteries on an industrial scale.
“In Europe, there is currently… nobody who can claim to recycle used batteries in a closed-loop to reproduce nickel, cobalt and lithium to make new batteries,” said Jean-Philippe Bahuaud, CEO Renault’s environment unit, called The Future Is Neutral (TFIN), which was launched in 2022.
Tesla has started to release a new version of its auto parking system, an updated automated parking for its newer vision-only vehicles.
Ever since Tesla stopped using ultrasonic sensors in its new vehicles and only relied on cameras for its ADAS features, its vehicles have lacked auto-parking features.
Two of my passions are electric bicycle projects and DIY solar powered projects. In fact I’ve written the book on both topics. So to see these two fields combined in one quirky-yet-awesome product totally made my week. I just hope you’re as excited as I am to dive into this strange electric bike/car contraption that boasts a heap of features from seating for two to a giant solar panel array offering nearly unlimited range!
It’s just one of many strange, awesome and fun-looking electric vehicles I’ve discovered while window shopping on the world’s most eclectic digital thrift store: Alibaba. And now it has the honor of officially becoming this week’s Awesomely Weird Alibaba Electric Vehicle of the Week!
We’ve seen solar powered electric bicycles before, but they’re usually designed with some serious pedaling requirements. The low power of even large-sized panels means that riders generally still have to provide some significant leg assist.
The term “artificial general intelligence” (AGI) has become ubiquitous in current discourse around AI. OpenAI states that its mission is “to ensure that artificial general intelligence benefits all of humanity.” DeepMind’s company vision statement notes that “artificial general intelligence…has the potential to drive one of the greatest transformations in history.” AGI is mentioned prominently in the UK government’s National AI Strategy and in US government AI documents. Microsoft researchers recently claimed evidence of “sparks of AGI” in the large language model GPT-4, and current and former Google executives proclaimed that “AGI is already here.” The question of whether GPT-4 is an “AGI algorithm” is at the center of a lawsuit filed by Elon Musk against OpenAI.
Given the pervasiveness of AGI talk in business, government, and the media, one could not be blamed for assuming that the meaning of the term is established and agreed upon. However, the opposite is true: What AGI means, or whether it means anything coherent at all, is hotly debated in the AI community. And the meaning and likely consequences of AGI have become more than just an academic dispute over an arcane term. The world’s biggest tech companies and entire governments are making important decisions on the basis of what they think AGI will entail. But a deep dive into speculations about AGI reveals that many AI practitioners have starkly different views on the nature of intelligence than do those who study human and animal cognition—differences that matter for understanding the present and predicting the likely future of machine intelligence.
The original goal of the AI field was to create machines with general intelligence comparable to that of humans. Early AI pioneers were optimistic: In 1965, Herbert Simon predicted in his book The Shape of Automation for Men and Management that “machines will be capable, within twenty years, of doing any work that a man can do,” and, in a 1970 issue of Life magazine, Marvin Minsky is quoted as declaring that, “In from three to eight years we will have a machine with the general intelligence of an average human being. I mean a machine that will be able to read Shakespeare, grease a car, play office politics, tell a joke, have a fight.”
