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  2. Solving Real-World Problems Is Key to Building Trust in AI

    www.aol.com/news/solving-real-world-problems-key...

    AI already powers technology that allows phone batteries to last longer, improves movie and song recommendations, and enables more effective maps and translation.

  3. AlphaGo versus Lee Sedol - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_versus_Lee_Sedol

    Machine trains self to beat humans at world's hardest game, Retro Report, 2:51, Retro Report [7] Go is a complex board game that requires intuition, creative and strategic thinking. [ 8 ] [ 9 ] It has long been considered a difficult challenge in the field of artificial intelligence (AI).

  4. Moravec's paradox - Wikipedia

    en.wikipedia.org/wiki/Moravec's_paradox

    The main lesson of thirty-five years of AI research is that the hard problems are easy and the easy problems are hard. The mental abilities of a four-year-old that we take for granted – recognizing a face, lifting a pencil, walking across a room, answering a question – in fact solve some of the hardest engineering problems ever conceived...

  5. AI-complete - Wikipedia

    en.wikipedia.org/wiki/AI-complete

    In the past, problems supposed to be AI-complete included computer vision, natural language understanding, and dealing with unexpected circumstances while solving any real-world problem. [2] AI-complete were notably considered useful for testing the presence of humans, as CAPTCHAs aim to do, and in computer security to circumvent brute-force ...

  6. Stargate AI Project: What AI Stocks Could Benefit in 2025 and ...

    www.aol.com/stargate-ai-project-ai-stocks...

    He heralded it as the "largest AI infrastructure project, by far, in history." Stargate is a joint venture (JV) between three leading technology companies heavily involved in AI: Oracle (NYSE ...

  7. Ilya Sutskever hired him to create ChatGPT’s voice at ... - AOL

    www.aol.com/finance/ilya-sutskever-hired-him...

    A focus on tackling what three years ago was one of the toughest AI challenges to crack—integrating audio intelligence directly into a large language model—is how Conneau ended up at OpenAI ...

  8. AlphaGo Zero - Wikipedia

    en.wikipedia.org/wiki/AlphaGo_Zero

    The AI engaged in reinforcement learning, playing against itself until it could anticipate its own moves and how those moves would affect the game's outcome. [10] In the first three days AlphaGo Zero played 4.9 million games against itself in quick succession. [ 11 ]

  9. AI aftermath scenarios - Wikipedia

    en.wikipedia.org/wiki/AI_aftermath_scenarios

    The AI box scenario postulates that a superintelligent AI can be "confined to a box" and its actions can be restricted by human gatekeepers; the humans in charge would try to take advantage of some of the AI's scientific breakthroughs or reasoning abilities, without allowing the AI to take over the world.