AI

Part 2 of an interview with Bryan Alexander

How to use Claude in Excel + 3 real use cases: data cleaning, dashboards, and a SaaS financial model — tested with prompts you can copy.

AFT made plenty of folks sad when they decided to jump on the AI bandwagon last year (kind of reminds me of the days they were resolutely on the wrong side of Common Core).

WAO's report for the BBC's Responsible Innovation Centre is now live!

Like it says on the tin, folks. we have a bash loop that looks for a notes syntax (==!). We leave claude notes on what we don't like about the wiki Sometimes...

Generate leads, track competitors, research markets, and build spreadsheets from any website.

The "Wild West" or the next great tool? Instructors from across the University of Minnesota campuses share their honest reflections on the rise of Artificial...

Not many facts are on the ground, but here are some starting points for sober thinking

“The language models we have now are probably the most significant thing to happen in security since we got the Internet.”

Teaching in ways that are beyond the reach of large language models.

Every expert you follow has already published what they know. For free. NotebookLM is how you actually absorb it instead of letting it pile up.

Pick one reply tomorrow that you would normally spend 10 minutes writing. Dictate it instead. See what the output looks like.

Thirsty for nonpartisan info on AI’s environmental impact? Watch us debunk misleading claims on both sides and demo a student project that quantifies your AI footprint. The recording is now live for “How Green Is Your Prompt,” organized last Thursday by FromThePage in conjunction with UMaine’s UMaine Digital Curation program. Ben Brumfield, Greg Nelson, Ethan Morin, and I demo tools that help you compare the environmental impact of your chatbot queries to other tasks. This includes new calculations of the footprints of non-AI workplace actions, like digitizing a photo or storing data in the cloud. I also challenge seven frequently cited claims that I believe either exaggerate or underestimate AI’s environmental impact, from the water required for an individual prompt to what’s really driving data center construction. (Hint: I don’t think it’s AI.) One of the most exciting moments of the webinar for me was lifting the veil on a prototype chat interface that reports your energy and water use as you chat with AI. Dubbed CollaborAITE, this system draws from data I’ve compiled for the What Uses More app to insert real-time feedback on the environmental impact of the prompts you type as well as ways you might offset them (measured in units like miles spent on public transport or number of hamburgers not eaten). CollaborAITE faculty lead Greg Nelson and student contributor Ethan Morin explain their motivation for this work in progress; I hope it will eventually be a tool that anyone can use to understand the impact of their AI use and make informed decisions about how to reduce it. Links in comments. #AIliteracy #AIethics #AIinEducation #Environment #Climate #Sustainability

Ever since Generative AI (GenAI) chatbots and content creation tools hit the scene back in 2022, their implications for education have been profound. On the ground, I’ve seen a lot of discussion from teachers and university professors about the nature of assessment and what they might do to either integrate this new technology into their […]

Tools for coding, teaching, and presentations with AI assistance - scunning1975/MixtapeTools

Tools for coding, teaching, and presentations with AI assistance - scunning1975/MixtapeTools

Using generative AI to create customized interactive simulations

Just as we changed our thinking around physical fitness, we need to change our attitude toward cognitive fitness.

But it will be hard to assemble a broad coalition of AI skeptics.

If agentic AI is as big a shift as some believe, we have to think much harder and deeper about the nature of work.

Balancing the Hype Surrounding Personalized Education

Surprisingly few people are talking about this?

A demonstration of the Find Relevant Sources move

"Coding agents" are complicated but intelligible