AI takes a LOT of energy...this is how are companies like OpenAI and Meta are actually powering their giant, expensive AI projects. https://t.co/sdlRQtLdM2 ...

AI takes a LOT of energy...this is how are companies like OpenAI and Meta are actually powering their giant, expensive AI projects. https://t.co/NTsso1GJ8L ...

- I'm gonna see the GPU guys. This is it. Welcome to an AI data center where you can hear.This is extremely loud right now. And feel. This can blow dry my hair.The power. The AI's in there. By 2028, data centers like this across the country could use 12% of all US electricity, enough to power more than 55 million homes for a year.And yes, you are increasing that energy. Every time you hit enter on an AI prompt, it's routed through places like this. - You know, we need to do the AI.And we need more than doub ...

Uh hello everyone. So today I will be talking about AI and sustainability. So let me give you a brief introduction about myself.I've been in education and AI industry from past 10 years. One of the major thing that I have noticed in my life is that no matter how fast you go, there is always innovation happening faster than your rate of learning. Now let me explain that in terms.If I suddenly woke up today and start looking at uh what these large language models are doing, I will be shocked. It would appear ...

Core Insights - OpenAI CEO Sam Altman disclosed that a single ChatGPT query consumes approximately 0.34 watt-hours of electricity and 0.000085 gallons of water, equivalent to "one-fifteenth of a teaspoon" of water [1][2] - This is the first time OpenAI has publicly shared details about the environmental impact of its AI systems, indicating a move towards greater transparency regarding infrastructure and environmental footprint [2][3] Energy Consumption Comparisons - Altman compared the energy consumption of AI queries to "an oven running for just over a second" or "an efficient light bulb being on for a few minutes" [2] - A report indicated that generating a 100-word email using GPT-4 may consume slightly more water than a bottle of water, depending on the data center's location [2] Growing Concerns and Future Implications - The increasing scale and usage of AI models raise concerns about energy consumption, which is becoming more critical as automation in data center operations improves [2] - Research predicts that by the end of 2025, AI energy consumption could surpass that of Bitcoin mining, highlighting the urgency of addressing these issues [3] - Altman noted that user politeness in queries could lead to significant electricity costs over time, suggesting that public awareness and regulatory focus on AI's environmental impact may increase [3]