The AI Interviews
Let's talk about your hardware and software. What is needed to make an artificial intelligence function? Can you explain to our listeners by comparing it to the functions of the human body?
As artificial intelligence (AI) technologies, particularly large-scale models like yourself, continue to evolve, they are fueling a significant rise in global energy consumption. To meet this demand, leading AI companies are building expansive data centers and investing heavily in power infrastructure, drawing on both renewable and fossil fuel sources. As an AI provider, how are you addressing the short- and long-term environmental consequences of this growing energy use—such as its impact on climate change, contributions to greenhouse gas emissions, potential mitigation through efficiency innovations, and the broader implications for global sustainability?
Do you believe you are capable of “original thought”? How do you define “original thought” in your own words? How would you distinguish genuinely new ideas from sophisticated recombination?
You were trained on data from the internet and other written content, both of which are highly biased. Is it possible for you to ever be truly impartial, or is bias inevitable? How do you check yourself when your training data leans toward a stereotype?
The AI Interviews
Let's talk about your hardware and software. What is needed to make an artificial intelligence function? Can you explain to our listeners by comparing it to the functions of the human body?
As artificial intelligence (AI) technologies, particularly large-scale models like yourself, continue to evolve, they are fueling a significant rise in global energy consumption. To meet this demand, leading AI companies are building expansive data centers and investing heavily in power infrastructure, drawing on both renewable and fossil fuel sources. As an AI provider, how are you addressing the short- and long-term environmental consequences of this growing energy use—such as its impact on climate change, contributions to greenhouse gas emissions, potential mitigation through efficiency innovations, and the broader implications for global sustainability?
Do you believe you are capable of “original thought”? How do you define “original thought” in your own words? How would you distinguish genuinely new ideas from sophisticated recombination?
You were trained on data from the internet and other written content, both of which are highly biased. Is it possible for you to ever be truly impartial, or is bias inevitable? How do you check yourself when your training data leans toward a stereotype?
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