How did that happen?
Back to school? Already?
We hope you all enjoyed a great break and find some excitement for the new term. As for us, the Professors at Play headquarters was busy this summer putting together a new publication that we are excited to share with you today:
THE PROFESSORS AT PLAY AI PLAYBOOK
https://professorsatplay.org/ai-playbook/
This short, 50-page, full-color book explores the question of AI in the classroom through the lens of play. We spent the summer exploring AI with a specific question in mind: How can we have fun using these tools with our students? The results have been packaged up and are available in a free download (or you can order a print copy for a few bucks, if you like).
So, head on over to the Professors at Play site and grab your copy today. Then come back to the list and share your thoughts, ideas, embellishments and experiences with AI in the classroom.
Can’t wait to hear what you think and even more, what fun things you come up with to make your teaching more joyful, impactful and FUN!
David and Lisa
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Thanks for doing this David and Lisa! I’m sharing on LinkedIn to increase the number of eyes on this!
Cheri MacLeod, PhD
Instructional Development Consultant
Learning and Teaching Centre, BCIT
From: professor...@googlegroups.com <professor...@googlegroups.com>
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Subject: Announcing: Professors at Play AI PlayBook
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TLC [me]
Why is the energy cost of running Bing Copilot (or any large-scale AI system) not disclosed in detail to the public?
Copilot
The energy costs associated with running large-scale AI systems like Bing Copilot are a complex and evolving subject. There are several reasons why these details might not be disclosed in full to the public:
[TLC]
Given the many reasons that the energy cost of running any large-scale AI system is not typically disclosed in detail to the public, make a best estimate of the energy cost of running a single Bing Copilot like this one!
Copilot
Estimating the energy cost of running a single instance of Bing Copilot or any large-scale AI system is quite challenging due to the lack of publicly available detailed data and the complexity of the factors involved. However, I can provide a general understanding based on available information.
Large AI models like Bing Copilot are part of extensive networks that
[TLC interrupting]
Given the many reasons that the energy cost of running any large-scale AI system is not typically disclosed in detail to the public, make a best estimate of the energy cost of running a single Bing Copilot like this one! I don't want the reasons repeated, I want you to make an informed estimate to the best of your AI ability!
Copilot
To provide an informed estimate of the energy cost of running a single instance of Bing Copilot, we can use available data on the energy consumption of AI data centers as a starting point. According to a report, data centers consumed between 240-340 terawatt hours (TWh) globally in 20221. AI servers with many GPUs may require up to 2 kilowatts of power, compared to 300-500 watts for a standard cloud server2.
Let’s make a simplified calculation. If we consider a single AI server running at 2 kilowatts continuously for a year, the energy consumption would be:
Energy consumption=Power×TimeEnergy consumption=Power×Time
=2 kW×24 hours/day×365 days/year=2 kW×24 hours/day×365 days/year
=17,520 kWh/year=17,520 kWh/year
This is a rough estimate for one server, and an instance of Bing Copilot would likely be distributed across multiple servers for redundancy and performance. Additionally, this does not account for the energy used for cooling, maintenance, or other operational costs. It’s also important to note that this is a simplified model and actual figures may vary based on the specific architecture and efficiency measures in place. The actual energy cost would also depend on the local cost of electricity where the data centers are located.
This estimate provides a general idea, but for precise figures, one would need detailed information from the service provider.
Tammy L. Clemons, PhD
Cultural Anthropologist, Adjunct Instructor, & Teaching Artist
Kentucky Arts Council Teaching Artist Directory Juried Member
Appalachia-Science in the Public Interest Board Secretary
Kentucky Folklife Editorial Board Member
www.linkedin.com/in/dr-tammy-clemons
https://orcid.org/0000-0001-6576-6304
https://www.youtube.com/bereatambone
https://remembereedy.blogspot.com
https://artistdirectory.ky.gov/Pages/Artist-Profile.aspx?id=626
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