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Apple Unveils Gemini-Powered Siri, AMI Labs Launches World-Model Strategy, $250M for OpenEvidence

Apple is set to launch a Gemini-powered Siri in February, enhancing its capabilities as AI adoption accelerates, with OpenEvidence raising $250M to reach a $12B valuation.

This week’s developments in artificial intelligence signal a significant shift from experimentation to implementation, as major tech players refine their strategies and startups scale operations. Apple is set to introduce a Gemini-powered Siri following its collaboration with Google, while Google intensifies its focus on conversational search within its core products. Meta is reorienting its growth plans towards AI glasses, personal agents, and infrastructure investments. On the research front, Yann LeCun’s AMI Labs is pursuing a world-model approach as an alternative to the large language model frameworks traditionally dominating AI, while Anthropic adapts its hiring practices in response to the rise of AI-assisted coding.

Investment and deployment are accelerating alongside these shifts. New York Robotics has been formally launched to cultivate a burgeoning local ecosystem, amid a concentration of AI finance leadership in key global hubs. In the startup arena, OpenEvidence doubled its valuation to $12 billion amid growing adoption of AI in healthcare, while LiveKit achieved unicorn status, buoyed by soaring demand for real-time voice infrastructure. Waabi has successfully raised $750 million and strengthened its partnership with Uber to expand robotaxi offerings.

Apple is poised to unveil its revamped Siri, which will incorporate Google’s Gemini models to enhance the assistant’s ability to perform complex, context-aware tasks. This update is expected to be revealed in February and is seen as a precursor to a broader overhaul of Siri planned for the Apple Worldwide Developers Conference in June. The integration of Gemini is part of Apple’s intensified push into generative AI following recent shifts in its leadership team.

Meanwhile, Yann LeCun’s AMI Labs, based in Paris, is focusing on developing “world models” that aim to provide AI systems with a better understanding of the physical world, moving away from an exclusive reliance on large language models. Under the leadership of CEO Alex LeBrun, the venture plans to license its technology for high-stakes applications in sectors such as healthcare, robotics, and industrial automation, alongside contributing to open-source projects and publishing research.

In response to rapid advancements in its Claude models, Anthropic has redesigned its technical hiring processes. As traditional coding assessments became less effective, candidates are now permitted to utilize AI tools during evaluations. This change reflects Claude’s continued improvement in matching or surpassing top applicant performance, prompting Anthropic to innovate assessment methods that challenge current AI capabilities.

Google is enhancing its AI-driven search functionality by enabling conversational follow-up questions within its AI Overviews, making Gemini 3 the default model for these features worldwide. The company also announced the global rollout of its lower-cost Google AI Plus subscription, priced at $7.99 per month in the U.S., aimed at democratizing access to its AI tools and expanding its ecosystem.

Meta, under CEO Mark Zuckerberg, is recalibrating its strategy to prioritize AI wearables and personal agents, moving investment away from the metaverse. The company reported that sales of its AI glasses have tripled over the past year and outlined plans for significant capital expenditures ranging from $115 billion to $135 billion by 2026 to bolster its AI lab capabilities. These efforts position Meta to compete with parallel initiatives from Google, OpenAI, Apple, and Snap.

New York Robotics has announced its formal launch to support the growing robotics sector in New York City and the Tri-State area. The nonprofit organization cites over 160 startups, with nearly 100 based in New York City, as embodying a shift from research to commercial application in robotics and AI. The initiative includes collaboration with more than 80 corporations, 20 academic institutions, and 300 venture capital firms, aiming to support workforce development and applied AI commercialization.

In terms of funding, OpenEvidence reported a $250 million investment round led by Thrive Capital and DST, raising its valuation to $12 billion. The Miami-based startup, which provides an AI platform for healthcare professionals, has seen over 40% of U.S. physicians adopt its services, generating more than $100 million in annualized revenue in its inaugural year. Conversely, LiveKit secured $100 million at a valuation of $1 billion, driven by soaring demand for voice AI infrastructure.

Rezolve Ai has closed an oversubscribed $250 million financing round, enhancing its balance sheet as it transitions AI-powered commerce from pilot phases to full production. This funding positions the company to pursue strategic acquisitions and expedite enterprise deployments. Neurophos raised $110 million in a Series A funding to advance its optical computing technology, aimed at reducing energy costs associated with AI inference. Lastly, Waabi’s $750 million in funding, including a $250 million investment from Uber, will facilitate the roll-out of robotaxis, targeting a fleet of at least 25,000 vehicles without revealing a specific timeline.

As these companies navigate their respective transformations, the implications for AI technology and its integration across various industries continue to unfold, hinting at a dynamic future for the sector.

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Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

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