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  2. Instrumental convergence - Wikipedia

    en.wikipedia.org/wiki/Instrumental_convergence

    The Riemann hypothesis catastrophe thought experiment provides one example of instrumental convergence. Marvin Minsky, the co-founder of MIT's AI laboratory, suggested that an artificial intelligence designed to solve the Riemann hypothesis might decide to take over all of Earth's resources to build supercomputers to help achieve its goal. [2]

  3. AI alignment - Wikipedia

    en.wikipedia.org/wiki/AI_alignment

    AI alignment involves ensuring that an AI system's objectives match those of its designers or users, or match widely shared values, objective ethical standards, or the intentions its designers would have if they were more informed and enlightened. [40] AI alignment is an open problem for modern AI systems [41] [42] and is a research field ...

  4. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    These AI programs were given the goal of maximizing user engagement (that is, the only goal was to keep people watching). The AI learned that users tended to choose misinformation, conspiracy theories, and extreme partisan content, and, to keep them watching, the AI recommended more of

  5. Automated planning and scheduling - Wikipedia

    en.wikipedia.org/wiki/Automated_planning_and...

    Automated planning and scheduling, sometimes denoted as simply AI planning, [1] is a branch of artificial intelligence that concerns the realization of strategies or action sequences, typically for execution by intelligent agents, autonomous robots and unmanned vehicles.

  6. Goal setting - Wikipedia

    en.wikipedia.org/wiki/Goal_setting

    Goal setting theory has been developed through both in the field and laboratory settings. Cecil Alec Mace carried out the first empirical studies in 1935. [8]Edwin A. Locke began to examine goal setting in the mid-1960s and continued researching goal setting for more than 30 years.

  7. Here's How Generative AI Factors Into Microsoft's Plan ... - AOL

    www.aol.com/heres-generative-ai-factors...

    The AI wars are underway, and Microsoft made a strategic and seemingly prescient decision to tie itself to OpenAI early on. That's already helped the company boost its Azure sales and ensure its ...

  8. Objectives and key results - Wikipedia

    en.wikipedia.org/wiki/Objectives_and_key_results

    Objectives and key results (OKR, alternatively OKRs) is a goal-setting framework used by individuals, teams, and organizations to define measurable goals and track their outcomes. The development of OKR is generally attributed to Andrew Grove who introduced the approach to Intel in the 1970s [ 1 ] and documented the framework in his 1983 book ...

  9. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    The terms generative AI planning or generative planning were used in the 1980s and 1990s to refer to AI planning systems, especially computer-aided process planning, used to generate sequences of actions to reach a specified goal. [33] [34] Generative AI planning systems used symbolic AI methods such as state space search and constraint ...

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