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  2. Alignment Research Center - Wikipedia

    en.wikipedia.org/wiki/Alignment_Research_Center

    In March 2023, OpenAI asked the ARC to test GPT-4 to assess the model's ability to exhibit power-seeking behavior. [10] ARC evaluated GPT-4's ability to strategize, reproduce itself, gather resources, stay concealed within a server, and execute phishing operations. [11] As part of the test, GPT-4 was asked to solve a CAPTCHA puzzle. [12]

  3. Architects Registration Council of Nigeria - Wikipedia

    en.wikipedia.org/wiki/Architects_Registration...

    The Architects Registration Council of Nigeria (ARCON) is a statutory body tasked with regulating the architectural profession within Nigeria. [2] It was established under the ARCON Act, [3] Decree No 10 of 1969, amended by Decree No 43 of 1990, and currently operates under the Architects (Registration, Etc.) Act Cap A19 The Laws of the Federation of Nigeria 2004.

  4. Regulation of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Regulation_of_artificial...

    The regulation of AI in China is mainly governed by the State Council of the People's Republic of China's July 8, 2017 "A Next Generation Artificial Intelligence Development Plan" (State Council Document No. 35), in which the Central Committee of the Chinese Communist Party and the State Council of the PRC urged the governing bodies of China to ...

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  6. AI dataset licensing companies form trade group - AOL

    www.aol.com/news/ai-dataset-licensing-companies...

    Seven content-licensing sellers of music, image, video and other datasets for use in training artificial intelligence systems have formed the sector's first trade group, they said on Wednesday.

  7. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Recurrent neural networks (RNNs) are a class of artificial neural network commonly used for sequential data processing. Unlike feedforward neural networks, which process data in a single pass, RNNs process data across multiple time steps, making them well-adapted for modelling and processing text, speech, and time series.

  8. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...

  9. AOL Mail

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    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!