This New Manual Toyota Corolla Is Very Cheap (But Not In The US)



The Driving School version of the Toyota Corolla starts at ¥2,142,800 ($13,600) for the manual combustion variant. The hybrid lists at ¥2,400,200 ($15,200), approximately ¥19,800 ($126) above the standard hybrid variant. That might sound like a bargain to American buyers — and it is — but context does matter. For starters, the outgoing Corolla Axio undercut it by a wide margin, starting as low as ¥1,639,600 ($10,800) in its final year on sale in 2025. So even by Japanese driving school standards, this is not cheap. 

For U.S. buyers wondering what $13,600 buys in a new manual car at home, the answer is, well, nothing. The cheapest manual transmission car available in the U.S. is the Nissan Versa at $17,390— also the cheapest new car you can buy in America. That is literally the floor. Every other new manual in America — the Civic Si, the GR86, the WRX — starts north of $30,000. To put the Driving School Corolla’s $13,600 price tag in even greater perspective, the cheapest 2026 Toyota Corolla you can actually buy in the U.S. — the LE — starts at $23,125 MSRP, including the delivery fee.

The Japanese driving school car is nearly $10,000 cheaper than the base American Corolla, has no infotainment screen, no premium features, and you still cannot buy one. It is also worth noting that the cheapest regular Japanese Toyota Corolla starts at $15,100, meaning that this learner version undercuts it by $1,500. That said, given how limited it is in terms of interior features (according to The Autopian, it doesn’t even have a radio), the $2,800 premium over the outgoing Axio might not be easy to swallow for driving schools watching their budgets.



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Researchers in South Korea developed a wearable system that uses seven smart rings to read finger and hand motions to translate American Sign Language and International Sign Language into text. The purpose is to make communicating easier between those who sign and nonsigners without needing a separate human interpreter. 

AI Atlas

According to the study, published Friday in the journal Science Advances, the system reliably recognized 100 ASL and ISL words during testing. It also performed well with users the system had not seen before, and it didn’t require recalibration for each person. Because the system detects words in sequence, it can produce sentence-level translations without extra training on grammar. 

ASL and ISL are the everyday languages of more than 72 million deaf and hard-of-hearing people. However, most hearing people do not know any words in these languages or have a very basic understanding. That gap makes certain tasks, like ordering at a restaurant or asking for help, much more difficult. 

A graphic shows two illustrated people talking in sign language, ASL and ISL. The graphic also shows the different components of the ring as well as pictures of hands modeling the rings.

A concept of how the rings work in the real world. 

American Association for the Advancement of Science (AAAS)

Existing sign language translator prototypes often rely on bulky gloves that can distract from or block natural hand movement or feel uncomfortable for the wearer, which limits real word adaption. Camera-based technologies can work well in controlled environments but are often limited to those places where a camera can be set up with a clear line of sight, the researchers wrote. 

To solve these problems, the researchers designed sensing rings for each finger that can capture precise motion and finger position while letting the hands move naturally. The rings can detect both signs that involve movement, like the words for “dance,” “fly” and “sun,” and signs that are held still, like “I” and “you.”

“These advances suggest that [the device could enable] barrier-free public translation systems for unseen users and unrestricted daily assistive interfaces,” the authors wrote in the study. 

The authors are affiliated with Yonsei University, Hankuk University of Foreign Studies and the Korea Institute of Science and Technology, among others. While the technology is still experimental, the authors wrote that the technology has the potential to ease communication difficulties. The underlying idea could also help improve controls for other systems, like virtual or augmented reality.

“Beyond sign language translation, the ring-type, wireless, and modular architecture of (wirelessly connected, ring-type sign language translators) may also be extended to other gesture-driven applications such as virtual or augmented reality control, touchless device interfaces, or rehabilitation monitoring systems where fine-grained hand movement tracking is essential,” they wrote.





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