Alphabet soars, to historic high on Wall Street







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(Boursier.com) — Alphabet jumped 6.7% at the start of the session on Wall Street, to $150, to the all-time high for a capitalization of nearly $1.9 trillion! Apple is in fact leading negotiations with Google to integrate its Gemini artificial intelligence engine into the iPhone, Bloomberg believes, citing people familiar with the discussions. These would be active negotiations and a possible agreement would allow the Californian Cupertino group to integrate Gemini to power certain new software features of the iPhone expected this year. No decision has yet been made regarding the terms of the possible deal. According to the sources, Apple has also recently spoken with OpenAI, the creator of Microsoft-backed ChatGPT.

Apple would therefore prepare new features for iOS 18. The features would be based on its own AI models, but Tim Cook’s group would also look for a partner to power the generative AI functions, in particular those concerning the creation of images and the writing texts. Bloomberg adds that it is unlikely that an agreement will be revealed before June and the Apple group’s Worldwide Developers Conference. Regardless, these initiatives show the importance Apple now places on AI.

Microsoft Google, for its part, told European antitrust regulators that Google has a competitive advantage in generative artificial intelligence because of its wealth of data and AI-optimized chips. This is what Fox Business indicates, citing comments from Microsoft following a consultation launched by the European Commission in January on the level of competition between technology companies in the field of generative AI. “Today, just one company, Google, is vertically integrated in a way that gives it strength and independence at every layer of AI, from chips to a thriving mobile app store. Everyone needs to step up. rely on partnerships to innovate and compete,” Microsoft told the Commission.

Microsoft Separately, Google explained that Google’s AI chips would give it a competitive advantage for years to come and that its vast proprietary data sets from Google Search and YouTube allowed it to train large language models powering Gemini.


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