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    Home » AI Still Requires “Miracles” to Achieve Human-Level Intelligence, Says Former Microsoft CTO
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    AI Still Requires “Miracles” to Achieve Human-Level Intelligence, Says Former Microsoft CTO

    techgeekwireBy techgeekwireMarch 24, 2025No Comments2 Mins Read
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    AI Still Requires “Miracles” to Achieve Human-Level Intelligence, Says Former Microsoft CTO

    Artificial intelligence (AI) continues to advance at a rapid pace, yet significant hurdles remain before it can truly replicate human-level intelligence, according to Nathan Myhrvold, former CTO of Microsoft and current CEO of Intellectual Ventures. Speaking at the Microsoft@50 event in Seattle, Myhrvold suggested that achieving this goal will require several unforeseen “miracles.”

    Nathan Myhrvold speaking at an event
    Nathan Myhrvold speaking at an event

    Myhrvold, who helped shape Microsoft’s early technology roadmap, stated that AI currently lacks the ability to create and understand abstract concepts, assigning them meaning and using them in autonomous reasoning. He believes that despite the remarkable progress, major scientific breakthroughs are necessary for true human-like AI.

    Myhrvold’s comments reflect ongoing debates about the current limitations of AI models. He indicated that the AI landscape is evolving similarly to the personal computing boom of the 1980s, with significant potential but an unpredictable future. He specifically acknowledged Microsoft’s early investment in OpenAI.

    These viewpoints are echoed by Meta’s chief AI scientist, Yann LeCun, who expressed reservations about the current usefulness of large language models (LLMs) and generative AI systems. LeCun anticipates a new wave of AI architecture within the next five years, with significantly improved capabilities over existing models. He highlights the limitations of current AI systems concerning memory, understanding the physical world, and reasoning abilities, all of which Myhrvold also recognizes.

    While companies like OpenAI and Perplexity are promoting “agentic AI,” Myhrvold and LeCun view these systems as just the beginning. They emphasize the real challenge of building AI capable of genuine innovation and reasoning about new concepts, similar to human thought processes.

    Myhrvold downplayed concerns about dystopian AI scenarios, comparing them to fictional threats. He also highlighted the potential challenge of AI’s increasing energy consumption and emphasized the importance of next-generation nuclear power to meet this demand.

    AI Artificial Intelligence Microsoft Nathan Myhrvold OpenAI Yann LeCun
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