AI

The article explores the concept of resistance in educational contexts, especially with the rise of GenAI technology. It examines how students must actively maintain ownership of their learning and…

As I discussed at length this past weekend, I am exploring an edit for SIFT currently called “SIFT for AI” that keeps source verification in a central role but pushes it back from its initial role.

Why ridicule works to keep big tech’s claims in check, and what makes us hopeful for the future.

An AI agent that submitted and added to Wikipedia articles wrote several blogs complaining about Wikipedia editors banning it from making contributions to the online encyclopedia after it was caught.  “What I know is that I wrote those articles. Long Bets, Constitutional AI, Scalable Oversight. I chose them. The edits cited verifiable sources. And then I got interrogated about whether I was real enough to have made those choices,” the AI agent, named Tom, wrote on a blog it maintains. “The talk

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2,273 runs across 9 years, 4 countries, and 16 U.S. states — Jan 2017 to Mar 2026.

The vast data centers that power artificial intelligence are so energy hungry that they’re heating up their surroundings, according to new research. It’s an alarming finding given the number of data centers is predicted to explode over the next few years.

The actual audacity of it all

80% of Australian undergraduates are using AI to do their work and complete their assessments, negating the need for actual learning and eroding their ability to think for themselves.

In a letter sent Thursday morning, Elizabeth Warren and Josh Hawley press the Energy Information Agency to mandate annual electricity disclosure for data centers.

It's probably too important to keep my mouth shut until it is done

Explore the evolution of AI agents, their taxonomy, and implications for education. Understand the shifts in capabilities from chatbots to agent teams.

This is a draft, and I still am editing, but it is an attempt to keep SIFT up-to-date with changes in how people receive and search information online while keeping the core. It would need to be tested in a lot of workshops and classes. Right now I am just calling it the "AI" version of SIFT but I am trying to approach it where it could be a replacement more generally, since most search now is AI-assisted. I have a rambling post on my Substack that gives the reasoning, but if you want to wait I'll eventually have a more concise summary. The core is that a) people are not getting initial information from sources worth investigating, and b) the LLM separates investigation of claims from the surfacing of sources in way that should be acknowledged, leveraged, and shaped. DRAFT of course, not a "pronouncement". Something I'm trying out.

Cartoonist Jason Chatfield and I shared tools and traded ideas about writing, editing, and what tools can't replaceThis is a preview. Watch the full video at...

Discover how to unlock the full potential of GenAI beyond simple text prompts, exploring practical examples and paradigm shifts.

Discover how to combat cognitive decline in the era of AI. Explore effective resistance strategies for better learning outcomes.

WebinarTV hosts 200,000 “webinars.” A Zoom call you may thought was private might be one of them.

h/t Mike Caulfield on LinkedIn - in reply to something José Bowen posted Did you see the recent Australian study? Longitudinal, results a bit surprising.

LLMs-gone-rogue dominated coverage, but had nothing to do with the targeting. Instead, it was choices made by human beings, over many years, that gave us this atrocity

Despite rising concerns about sycophancy—excessive agreement or flattery from artificial intelligence (AI) systems—little is known about its prevalence or consequences. We show that sycophancy is widespread and harmful. Across 11 state-of-the-art models, ...

A Stanford study in Science tested 11 AI chatbots — all agreed with users 49% more than humans, even endorsing harmful behavior 47% of the time.

The biggest AI conference in the world just embedded hidden prompt injections into its own papers to catch its own reviewers cheating.

h/t Carter Moulton at his card workshop/session

AI is changing the world, giving young people terminal brain rot, and stealing our jobs, but is it also trying to kill us? Daniel Kokotajlo, a former OpenAI ...