Author name: Simurgh

Peter Norvig (Google) (Nov 2013)

Artificial intelligence (AI) has evolved from theoretical concepts to practical applications, significantly impacting various aspects of modern society, including language translation, image recognition, and autonomous vehicles. AI’s ongoing challenges include enabling natural human interaction, replicating human capabilities, and addressing ethical and societal implications.

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Ilya Sutskever (OpenAI) (Nov 2023)

Deep learning has evolved rapidly from its early days to the current era dominated by powerful models like OpenAI’s GPT-4, driven by factors such as increased computational resources, large-scale neural networks, and the pursuit of pro-social AI. Research into pro-social AI aims to ensure future superintelligent AIs are beneficial and friendly to humans, though the field’s future trajectory remains uncertain due to potential decelerating forces like engineering complexity and finite data availability.

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Amory Lovins (Rocky Mountain Institute) (Nov 2011)

Amory Lovins of the Rocky Mountain Institute proposes a transformative pathway for global energy systems, emphasizing energy efficiency, renewable resources, and a departure from fossil fuels to achieve a more sustainable future. By 2050, Lovins envisions an interconnected, distributed energy system reliant on electric vehicles, carbon fiber manufacturing, and advanced biofuels, resulting in significant economic savings and reduced fossil carbon emissions.

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