Topic: Future of AI

  • Dot-Com to Dot-AI: Lessons from Past Tech Transformations

    Dot-Com to Dot-AI: Lessons from Past Tech Transformations

    The current AI boom resembles the dot-com frenzy, with companies hastily rebranding around AI, as seen in the 77% surge in .ai domain registrations last year. Successful AI ventures will focus on solving specific user needs with disciplined growth, similar to how Amazon and eBay started small bef...

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  • Elon Musk, xAI, and the Advent of Grok

    Elon Musk, xAI, and the Advent of Grok

    Elon Musk's xAI, founded in March 2023, introduces Grok, a witty AI chatbot built on a 33 billion parameter language model. Unlike others, Grok accesses real-time info from X (formerly Twitter), acquired by Musk. xAI aims to revolutionize AI interaction with deep understanding and empathy, as the name 'Grok' implies, reflecting its mission to advance humanity's knowledge.

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  • Zuckerberg: Superintelligence Coming Soon, Questions OpenAI's Priorities

    Zuckerberg: Superintelligence Coming Soon, Questions OpenAI's Priorities

    Meta CEO Mark Zuckerberg envisions AI superintelligence as a tool for personal empowerment, focusing on individual aspirations rather than workforce automation, contrasting with OpenAI's emphasis on labor disruption. Zuckerberg highlights Meta's AI research showing early signs of self-improvement...

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  • Google DeepMind CEO Reveals Key Flaw Blocking AI's Path to AGI

    Google DeepMind CEO Reveals Key Flaw Blocking AI's Path to AGI

    LUDOVIC MARIN/POOL/AFP via Getty ImagesDemis Hassabis said AI still lacks the consistency needed to reach artificial general intelligence. LUDOVIC MARIN/POOL/AFP via Getty Imageslighning bolt icon An icon in the shape of a lightning bolt. Impact LinkThis story is available exclusively to Business Insider subscribers. Hassabis's position aligns with Google CEO Sundar Pichai, who has dubbed the current stage of development "AJI" — artificial jagged intelligence. Hassabis and Google did not respond...

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  • AI That Learns Continuously Without Limits

    AI That Learns Continuously Without Limits

    MIT's SEAL framework enables AI to continuously learn by updating its own parameters and generating synthetic training materials, mimicking human-like learning processes. The approach improves AI performance on tasks like textual analysis and abstract reasoning but faces challenges like catastrop...

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