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# ** Please-Thank You for ChatGPT Costing Millions of Dollars* OpenAI founder Sam Altman revealed that the words ā€œpleaseā€ and ā€œthank you,ā€ commonly used to make requests to ChatGPT, cost millions of US dollars. ā€œI wonder how much money OpenAI has lost in electricity costs from people saying 'please' and 'thank you' to their model,ā€ asked an X user named Tomie. Altman replied that both words incur a fantastic cost. Nevertheless, he stated that the money spent on artificial intelligence (AI) is well spent. As information, it requires a lot of energy to generate answers or train generative AI. Training a large language model like GPT-3 from OpenAI alone uses nearly 1,300 megawatt-hours (MWh) of electricity, which is the annual consumption of about 130 homes in the United States. According to the International Energy Agency, one ChatGPT query requires 2.9 watt-hours. This means that if there are 9 billion queries made each day, the electricity demand would increase by 10 terawatt-hours per year, equivalent to the electricity consumption of about 1.5 million residents of the European Union. {future}(CGPTUSDT) $BTC
# ** Please-Thank You for ChatGPT Costing Millions of Dollars*

OpenAI founder Sam Altman revealed that the words ā€œpleaseā€ and ā€œthank you,ā€ commonly used to make requests to ChatGPT, cost millions of US dollars.

ā€œI wonder how much money OpenAI has lost in electricity costs from people saying 'please' and 'thank you' to their model,ā€ asked an X user named Tomie.

Altman replied that both words incur a fantastic cost. Nevertheless, he stated that the money spent on artificial intelligence (AI) is well spent.

As information, it requires a lot of energy to generate answers or train generative AI. Training a large language model like GPT-3 from OpenAI alone uses nearly 1,300 megawatt-hours (MWh) of electricity, which is the annual consumption of about 130 homes in the United States.

According to the International Energy Agency, one ChatGPT query requires 2.9 watt-hours. This means that if there are 9 billion queries made each day, the electricity demand would increase by 10 terawatt-hours per year, equivalent to the electricity consumption of about 1.5 million residents of the European Union.
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