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Xiaomi Just Took Aim at Apple and Tesla -- And It's Not Backing Down

Xiaomi Just Took Aim at Apple and Tesla -- And It's Not Backing Down

Yahoo27-05-2025

Xiaomi (XIACY) just fired a shot at two of the world's most valuable companies and it wasn't subtle. At a splashy product launch in China, CEO Lei Jun unveiled the 15S Pro smartphone, priced at just 5,499 yuan ($764), making it eligible for a government subsidy. That's well below the iPhone 16 Pro's 7,999 yuan starting point a critical price edge in a country where the 6,000 yuan threshold unlocks discounts for consumers. More importantly, Lei claimed Xiaomi's homegrown chip, the Xring O1, beats Apple's (NASDAQ:AAPL) A18 Pro in key areas like thermal performance during gaming. It took four years and $1.87 billion to develop and it's already in mass production using the same 3nm process that powers Apple's flagship.
Warning! GuruFocus has detected 6 Warning Signs with XIACY.
But phones are just the warm-up act. Xiaomi's real ambition might be on four wheels. After undercutting Tesla (NASDAQ:TSLA) last year with its SU7 sedan priced $4,000 lower than the Model 3 the company is now preparing to launch the YU7 SUV in July. Lei didn't reveal pricing, but he did drop a few details: the YU7 will feature chips from Qualcomm and Nvidia, advanced driver assist, and up to 835 km of range. Still, the road hasn't been smooth. A fatal SU7 crash triggered tighter ad rules on driver-assist features. Despite that, Xiaomi delivered 28,000 vehicles in April and shows no signs of slowing down.
Investors will get their next read on May 27, when Xiaomi reports Q1 results. Last year, it posted record revenue and profit, with nearly 42% of sales coming from overseas markets. The stock is already up over 50% year-to-date and with Lei pledging 200 billion yuan in R&D through 2031, the market may be starting to realize: this isn't just a phone company anymore. Xiaomi wants to play in every arena Apple and Tesla dominate and it's bringing its own chips, cars, and pricing power to the fight.
This article first appeared on GuruFocus.

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Personalis' NeXT Personal® Predicts Cervical Cancer Recurrence Risk in New CALLA Phase 3 Study Analysis Presented at ASCO
Personalis' NeXT Personal® Predicts Cervical Cancer Recurrence Risk in New CALLA Phase 3 Study Analysis Presented at ASCO

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Personalis' NeXT Personal® Predicts Cervical Cancer Recurrence Risk in New CALLA Phase 3 Study Analysis Presented at ASCO

FREMONT, Calif., June 03, 2025--(BUSINESS WIRE)--Personalis, Inc. (Nasdaq: PSNL), a leader in advanced genomics for precision oncology, announced the presentation of new results from the CALLA phase 3 study showing for the first time its ultrasensitive NeXT Personal circulating tumor DNA (ctDNA) blood test detected cervical cancer progression, up to 16 months ahead of imaging. The results demonstrate the potential of NeXT Personal to enable earlier detection in a cancer with high recurrence rates. The results were presented yesterday by Jyoti Mayadev, MD, from the University of California San Diego, at the American Society for Clinical Oncology (ASCO) 2025 Annual Meeting in Chicago in an oral presentation titled "Ultrasensitive detection and tracking of circulating tumor DNA (ctDNA) and association with relapse and survival in locally advanced cervical cancer (LACC): Phase 3 CALLA trial analyses." The results from this study were also simultaneously published in the journal Annals of Oncology. Samples were analyzed from patients with cervical cancer who had enrolled in the original CALLA clinical trial. In this new study analysis, NeXT Personal was used to look for small traces of ctDNA in blood samples from a cohort of 186 patients with locally advanced cervical cancer. Dr. Mayadev's team found that overall ctDNA levels after chemoradiotherapy (CRT) treatment were strongly predictive of risk of cervical cancer progression. "Despite standard chemoradiotherapy, up to half of patients with locally advanced cervical cancer relapse, underscoring the urgent need for better prognostic tools. In the CALLA phase 3 study, ultrasensitive, tumor-informed ctDNA analysis emerged as a powerful predictor of progression and survival—detecting relapse up to ~16 months before imaging. 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Personalis undertakes no duty to update this information unless required by law. Not affiliated with or endorsed by ASCO. View source version on Contacts Investors: Caroline Cornerinvestors@ 415-202-5678 Media Contact pr@

Why Guardant Health Stock Surged Nearly 9% Higher Today
Why Guardant Health Stock Surged Nearly 9% Higher Today

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time33 minutes ago

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Why Guardant Health Stock Surged Nearly 9% Higher Today

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One App to Rule Them All
One App to Rule Them All

Atlantic

time41 minutes ago

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One App to Rule Them All

If Google has its way, there will be no search bars, no search terms, no searching (at least not by humans). The very tool that has defined the company—and perhaps the entire internet—for nearly three decades could soon be overtaken by a chatbot. Last month, at its annual software conference, Google launched 'AI Mode,' the most drastic overhaul to its search engine in the company's history. The feature is different from the AI summaries that already show up in Google's search results, which appear above the usual list of links to outside websites. Instead, AI Mode functionally replaces Google Search with something akin to ChatGPT. You ask a question and the AI spits out an answer. Instead of sifting through a list of blue links, you can just ask a follow-up. Google has begun rolling out AI Mode to users in the U.S. as a tab below the search bar (before 'Images,' 'Shopping,' and the like). 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Elon Musk is notoriously obsessed with the idea of turning X into an everything app. Meta says you can use its AI 'for everything you need'; Amazon calls its new, generative AI–powered Alexa+ 'an assistant available to help any time you want'; Microsoft bills its AI Copilot as a companion 'for all you do'; and Apple has marketed Apple Intelligence and a revamped Siri as tools that will revolutionize how people use their iPhones (which encompass, for many users, everything). Even Airbnb, once focused simply on vacation rentals, is redesigning itself as a place where 'you can sell and do almost anything,' as its CEO, Brian Chesky, recently said. In a sense, everything apps are the logical conclusion of Silicon Valley's race to build artificial 'general' intelligence, or AGI. A bot smart enough to do anything obviously would be used to power a product that can, in effect, do anything. 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A key feature of these everything apps is that they promise to be individually tailored, drawing on extensive personal data to provide, in theory, a more seamless experience. Your past search history, and eventually your emails, can inform AI Mode's responses: When I typed line up into AI Mode, I got the 'line up' for the day's New York Mets game (the Mets are my favorite baseball team). When I typed the same phrase into traditional Google Search, I got a definition. In other words, the rise of AI-powered everything apps is a version of the bargain that tech companies have proposed in the past with social media and other tools: our services for your data. Meta's AI assistant can draw on information from users' Facebook and Instagram accounts. Apple describes its AI as a 'personal intelligence' able to glean from texts, emails, and notes on your device. And ChatGPT has a new 'memory' feature that allows the chatbot to reference all previous conversations. If the technology goes as planned, it leads to a future in which Google, or any other Big Tech company, knows you are moving from Texas to Chicago and, of its own accord, offers to order the winter jacket you don't own to be delivered to your new apartment, already selected from your favorite brand, in your favorite color. Or it could, after reading emails musing about an Italian vacation, suggest an in-budget itinerary for Venice that best fits your preferences. There is, of course, no shortage of reasons to think that AI models will not be capable and reliable enough to power a true everything app. The Mets lineup that Google automatically generated for me wasn't entirely accurate. Chatbots still invent information and mess up basic math; concerns over AI's environmental harms and alleged infringement of intellectual-property rights could substantially slow the technology's development. Only a year ago, Google released AI Overviews, a search feature that told users to eat rocks and use glue to stick cheese to pizza. On the same day that Google released AI Mode, it also introduced an experimental AI shopping tool that can be easily used to make erotic images of teenagers, as I reported with my colleague Lila Shroff. (When we shared our reporting with the company, Google emphasized the protections it has in place and told us it would 'continue to improve the experience.') Maybe AI Mode will order something two sizes too large and ship to the wrong address, or maybe it'll serve you recommendations for Venice Beach. Despite these embarrassments, Google and its major AI competitors show no signs of slowing down. The promised convenience of everything apps is, after all, alluring: The more products of any one company you use, and the better integrated those products are, the more personalized and universal its everything app can be. Google even has a second contender in the race—its Gemini model, which, at the same conference, the company said will become a 'universal AI assistant.' Whether through Search or Gemini the company seems eager to integrate as many of its products and as much of its user data as possible. On the surface, AI and the everything app seem set to dramatically change how people interact with technology—consolidating and streamlining search, social media, officeware, and more into a chatbot. But a bunch of everything apps vying for customers feels less like a race for innovation and more like empires warring over territory. Tech companies are running the same data-hungry playbook with their everything apps as they did in the markets that made them so dominant in the first place. Even OpenAI, which has evolved from a little-known nonprofit to a Silicon Valley behemoth, appears so eager to accumulate user data that it reportedly plans to launch a social-media network. The technology of the future looks awfully reliant on that of the past.

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