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AGI, AI, AI Ethics, AI Models, Artificial Cognition, GPT-4 -

    Dr Alan D. Thompson is a world expert in artificial intelligence (AI), specialising in the augmentation of human intelligence, and advancing the evolution of ‘integrated AI’. Alan’s applied AI research and visualisations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021.

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AI, AI Models, Ilya Sutskever, MLLM -

Asked Ilya Sutskever (Chief Scientist of OpenAI) about - time to AGI - leaks and spies - what's after generative models - post AGI futures - working with MSFT and competing with Google - difficulty of aligning superhuman AI      Timestamps 00:00 Time to AGI 05:57 What’s after generative models? 10:57 Data, models, and research 15:27 Alignment 20:53 Post AGI Future 26:56 New ideas are overrated 36:22 Is progress inevitable? 41:27 Future Breakthroughs     

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AI, AI Models, Artificial Cognition, GPT-5, Libra, Thought -

Artificial General Intelligence raises significant concerns about the possible repercussions of granting an AI that much power   Tech entrepreneur, and developer, Siqi Chen's claims that GPT-5 "will" achieve Artificial General Intelligence (AGI) by the end of this year have caused a stir in the AI world. This advancement in AI technology may have far-reaching effects if the claim is accurate. "I have been told that gpt5 is scheduled to complete training this December and that OpenAI expects it to achieve AGI," Chen tweeted on Monday. "Which means we will all hotly debate as to whether it actually achieves AGI. Which means...

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AI, AI Ethics, AI Models, Artificial Cognition -

"I believe that scientific knowledge has fractal properties; that no matter how much we learn; whatever is left, however small it may seem, is just as infinitely complex as the whole was to start with. That, I think, is the secret of the Universe." - Isaac Asimov, A Memoir  By RICE UNIVERSITY MARCH 20, 2023 A new study has found that Fourier analysis, a mathematical technique that has been around for 200 years, can be used to reveal important information about how deep neural networks learn to perform complex physics tasks, such as climate and turbulence modeling. This research highlights the potential...

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