Nearly two-thirds of US doctors are turning to an AI-powered search engine to make patient decisions, propelling a little-known tech startup to a $15 billion valuation while prompting a debate over the future of patient care.

Miami-based OpenEvidence, founded by serial entrepreneur Daniel Nadler in 2022, said that many of America’s 1 million physicians processed more than 42 million prompts last month. Doctors are using the company’s chatbot to scour medical journals and clinical guidelines to help diagnose and treat patients.

The ads-powered platform has grown largely by word of mouth, penetrating a sector where few tools have seen similar traction. “We’re the first viral consumer internet app in healthcare,” Nadler told the FT in an interview.

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Electric vehicle batteries are lasting longer than previously feared by drivers, with most used EVs able to retain about 90 percent of their original usable battery capacity after 150,000 kilometers, a new study has shown.

Despite a surge in global EV sales on the back of rising fuel prices, long-term battery durability continues to be one of the key concerns for drivers when they consider switching from a petrol model to an electric car.

EV battery warranties typically cover eight years or 100,000 miles (160,000 km) with car manufacturers required under the warranty to provide a replacement battery if capacity falls below 70 percent.

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ByteDance is training an AI model that could approach the size of Anthropic’s most cutting-edge Mythos system, as Chinese companies continue to narrow the gap with the top US labs.

The Chinese tech giant is at an early stage of training a model with as many as 10 trillion parameters—three times larger than Moonshot’s Kimi K3, the biggest Chinese model released to date, according to three people with knowledge of the matter.

The ByteDance model is being pre-trained—a stage that typically takes three to six months—before it is fine-tuned and released if all goes well, one of the people said. The exact model size would only be determined at a later stage.

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