When you are 108 you'll really appreciate not having to drive yourself.
Prices of the electricity we use to charge
- Thread starter flecc
- Start date
I'm very unlikely to reach 90 !
But I've been driven around at times for all my life, just selecting a destination and the vehicles never failing.
They're called lifts, or more correctly in the USA, elevators.
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![20231218_143643[1].jpg](/forum/data/attachments/53/53448-44fe2f4b6ae2386f0e5d0c5d8bba8108.jpg)
I asked BING AI the question
how much electricity do you use answering each question?
answer came .....
~~~~~~~
That's an interesting question. I don't have an exact answer, but I can try to give you an estimate based on some assumptions and calculations.
First, let's assume that I use the same amount of electricity as ChatGPT, which is a large language model similar to me. According to a recent studyhttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/, ChatGPT running on 10,000 NVIDIA GPUs consumed 1,287 megawatt-hours (MWh) of electricity during training, which lasted for 25 dayshttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/. That means ChatGPT used about 2,058 kilowatt-hours (kWh) per hour, or 0.57 kWh per second, during traininghttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/.
Now, let's assume that answering each question takes me about 10 seconds on average, and that I use the same amount of electricity during inference (answering questions) as during training. This may not be accurate, as inference usually requires less computation than training, but it's a conservative estimate. Then, answering each question would use about 5.7 kWh of electricity, which is equivalent to the energy consumed by a typical American household in about 5 hours
ai.stackexchange.com
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Of course, this is just a rough approximation, and it does not include the electricity used by other components of the system, such as the servers, the network, or the user's device. It also does not account for the variations in the complexity and length of the questions and answers, or the efficiency and optimization of the hardware and software. Therefore, the actual electricity consumption may be higher or lower than this estimate.
I hope this gives you some idea of how much electricity I use to answer your questions. However, I also want to point out that electricity is not the only resource that I consume. I also require a lot of data, memory, processing power, and human labor to create and maintain me. These resources also have environmental and social impacts that should be considered when evaluating the benefits and costs of using me and other AI systems.
~~~~~~~
I guess it's forgotten to allow that it would be answering lots of other questions too at the same time, and 5.7 kWh is how much it used while answering my question rather than how much to answer my question? Shows how careful you need to be interpreting the answers from these systems. (Just like you need to be interpreting answers from people.)
how much electricity do you use answering each question?
answer came .....
~~~~~~~
That's an interesting question. I don't have an exact answer, but I can try to give you an estimate based on some assumptions and calculations.
First, let's assume that I use the same amount of electricity as ChatGPT, which is a large language model similar to me. According to a recent studyhttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/, ChatGPT running on 10,000 NVIDIA GPUs consumed 1,287 megawatt-hours (MWh) of electricity during training, which lasted for 25 dayshttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/. That means ChatGPT used about 2,058 kilowatt-hours (kWh) per hour, or 0.57 kWh per second, during traininghttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/.
Now, let's assume that answering each question takes me about 10 seconds on average, and that I use the same amount of electricity during inference (answering questions) as during training. This may not be accurate, as inference usually requires less computation than training, but it's a conservative estimate. Then, answering each question would use about 5.7 kWh of electricity, which is equivalent to the energy consumed by a typical American household in about 5 hours
How much energy consumption is involved in Chat GPT responses being generated?
I note this question was deemed off-topic, so I'm trying to clearly frame this question in terms of scope of response I'm interested in, namely ethics and sustainability issues associated with the ...
ai.stackexchange.com
Of course, this is just a rough approximation, and it does not include the electricity used by other components of the system, such as the servers, the network, or the user's device. It also does not account for the variations in the complexity and length of the questions and answers, or the efficiency and optimization of the hardware and software. Therefore, the actual electricity consumption may be higher or lower than this estimate.
I hope this gives you some idea of how much electricity I use to answer your questions. However, I also want to point out that electricity is not the only resource that I consume. I also require a lot of data, memory, processing power, and human labor to create and maintain me. These resources also have environmental and social impacts that should be considered when evaluating the benefits and costs of using me and other AI systems.
~~~~~~~
I guess it's forgotten to allow that it would be answering lots of other questions too at the same time, and 5.7 kWh is how much it used while answering my question rather than how much to answer my question? Shows how careful you need to be interpreting the answers from these systems. (Just like you need to be interpreting answers from people.)
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That's shocking, could an American household really survive on 1kW? And wasn't the real Matheson scandal that anyone would dare charge £11000 for 5 or 6 hours data roaming in the first place?
Bing AI and ChatGPT don't seem to be good on reasoning.I asked BING AI the question
how much electricity do you use answering each question?
answer came .....
~~~~~~~
That's an interesting question. I don't have an exact answer, but I can try to give you an estimate based on some assumptions and calculations.
First, let's assume that I use the same amount of electricity as ChatGPT, which is a large language model similar to me. According to a recent studyhttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/, ChatGPT running on 10,000 NVIDIA GPUs consumed 1,287 megawatt-hours (MWh) of electricity during training, which lasted for 25 dayshttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/. That means ChatGPT used about 2,058 kilowatt-hours (kWh) per hour, or 0.57 kWh per second, during traininghttps://www.scientificamerican.com/article/the-ai-boom-could-use-a-shocking-amount-of-electricity/.
Now, let's assume that answering each question takes me about 10 seconds on average, and that I use the same amount of electricity during inference (answering questions) as during training. This may not be accurate, as inference usually requires less computation than training, but it's a conservative estimate. Then, answering each question would use about 5.7 kWh of electricity, which is equivalent to the energy consumed by a typical American household in about 5 hours.How much energy consumption is involved in Chat GPT responses being generated?
I note this question was deemed off-topic, so I'm trying to clearly frame this question in terms of scope of response I'm interested in, namely ethics and sustainability issues associated with the ...
Of course, this is just a rough approximation, and it does not include the electricity used by other components of the system, such as the servers, the network, or the user's device. It also does not account for the variations in the complexity and length of the questions and answers, or the efficiency and optimization of the hardware and software. Therefore, the actual electricity consumption may be higher or lower than this estimate.
I hope this gives you some idea of how much electricity I use to answer your questions. However, I also want to point out that electricity is not the only resource that I consume. I also require a lot of data, memory, processing power, and human labor to create and maintain me. These resources also have environmental and social impacts that should be considered when evaluating the benefits and costs of using me and other AI systems.
~~~~~~~
I guess it's forgotten to allow that it would be answering lots of other questions too at the same time, and 5.7 kWh is how much it used while answering my question rather than how much to answer my question? Shows how careful you need to be interpreting the answers from these systems. (Just like you need to be interpreting answers from people.)
There is a lot of hype around what these systems can do.
The weaknesses are usually revealed by the competition, in this case, Google Gemini.
A couple of weeks ago, I watched a very impressive YT demo of Gemini. It turns out that the video was heavily edited to remove the bits where humans gave the system a helping hand.
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The Bing AI answer had a giveaway exposing a flaw common to humans:
When they don't know the answer to a question they open with either "That is a very good question" or "That is an interesting question". Either is just playing for time while they rummage around in the grey stuff for an answer. We hear it all the time on TV and Radio interviews of politicians.
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it's down to performance.
Even modestly priced EV models have excellent acceleration.
Fast acceleration leads to more accidents.
Embarrassingly so.
The very big increase in acceleration and power of my latest series Leaf in 2018 meant delicate tickling of the accelerator pedal among all the other slower traffic. Within two months I got so fed up with this driving "on edge" that I switched from Normal into ECO mode with a 40% reduction, despite which it still leaves almost everything behind in the traffic lights grand prix.
With the exception of the odd rare open road long distance run I've been in more relaxed ECO permanently ever since. Even my garage when they pick it up from my home for it's MOT each year do the same.
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