How about writing a note to someone...
Posted by Kim MacDonald on
Hi there, If you who have received an order from me this year you might have got a wee hand written note. I just love stationary products and have been trying to use a different notepad each month,- until covid-19 happened and I couldn't go out and shop for them!
So, to solve that problem I have found a great supplier who has lots of gorgeous notepads. This means that I can now stock a selection for you to use too. Just go to our Giftware page on the website to see the current selection.
Who doesn't like receiving notes? Especially on nice notepaper with pictures.When I was growing up my mum used to write notes and put them in my lunchbox or leave them in the kitchen with a reminder to do something for her,- I think I was much happier to do things when she left me a note with a little bunny drawn on it because my nickname was "little rabbit" in Hungarian.
In our house when I go away, or my husband is away, we sometimes leave a little note tucked in the bed so when the person goes to bed alone they find a little "I love you" note,- even nicer if it has a chocolate bar with it!
I hope you enjoy the notepads,- some of the first collection have been inspired by designers we know in the quilting world, like William Morris. I will be adding a few new products to our Giftware page at the start of each month. So,- if you have any ideas of what you and your friends like please let me know,
happy note writing, Mrs MillyMac
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“AI expends a lot of energy being polite, especially if the user is polite, saying ‘please’ and ‘thank you,’”
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Dauner explained. “But this just makes their responses even longer, expending more energy to generate each word.”
For this reason, Dauner suggests users be more straightforward when communicating with AI models. Specify the length of the answer you want and limit it to one or two sentences, or say you don’t need an explanation at all.
Most important, Dauner’s study highlights that not all AI models are created equally, said Sasha Luccioni, the climate lead at AI company Hugging Face, in an email. Users looking to reduce their carbon footprint can be more intentional about which model they chose for which task.
“Task-specific models are often much smaller and more efficient, and just as good at any context-specific task,” Luccioni explained.
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If you are a software engineer who solves complex coding problems every day, an AI model suited for coding may be necessary. But for the average high school student who wants help with homework, relying on powerful AI tools is like using a nuclear-powered digital calculator.
Even within the same AI company, different model offerings can vary in their reasoning power, so research what capabilities best suit your needs, Dauner said.
When possible, Luccioni recommends going back to basic sources — online encyclopedias and phone calculators — to accomplish simple tasks.
Why it’s hard to measure AI’s environmental impact
Putting a number on the environmental impact of AI has proved challenging.
The study noted that energy consumption can vary based on the user’s proximity to local energy grids and the hardware used to run AI models.
That’s partly why the researchers chose to represent carbon emissions within a range, Dauner said.
Furthermore, many AI companies don’t share information about their energy consumption — or details like server size or optimization techniques that could help researchers estimate energy consumption, said Shaolei Ren, an associate professor of electrical and computer engineering at the University of California, Riverside who studies AI’s water consumption.
“You can’t really say AI consumes this much energy or water on average — that’s just not meaningful. We need to look at each individual model and then (examine what it uses) for each task,” Ren said.
One way AI companies could be more transparent is by disclosing the amount of carbon emissions associated with each prompt, Dauner suggested.
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