Today we are exploring a new research paper called "Close Reading as a Novel Task for Benchmarking Interpretive Reasoning". This paper introduces KRISTEVA, a new benchmark that aims to evaluate how well large language models can perform interpretive reasoning tasks akin to close reading in literature.

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Today we’re digging into a thought-provoking piece from The New York Times, written by Callie Holtermann. The article is called "A New Headache for Honest Students: Proving They Didn’t Use A.I.," and it uncovers how students are reacting to the rise of AI detection tools in schools and universities. What’s happening is both revealing and a little unsettling.

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I’m recording this episode as I wait for my connecting flight to San Francisco, en route to the Google I/O conference in Mountain View next week. While I pass the time here at the airport, I wanted to dive into the swirling rumours and high expectations surrounding what might be previewed and released at Google's annual developer event.

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Today, we are exploring "AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithms," a blog post published by the AlphaEvolve team at Google DeepMind

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Today one of my AI workflows with you that is having a huge impact on my work. I recently shared it with a billion dollar company I was working with, a small business and a school. Their minds were blown by the results. My mind is still blown every time I do it. This process condenses might take weeks into a 15 to 30-minute sprint, making it a potentially game-changing methodology for educators working under pressure and within complex environments.

Click here for the diagram on LinkedIn

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Today we are exploring a provocative and wide-ranging debate hosted by Steven Bartlett, featuring Amjad Masad, CEO of Replit; Bret Weinstein, an evolutionary biologist and systems theorist; and Daniel Priestley, an entrepreneur and business strategist. This conversation, centered on the transformativ and potentially perilous rise of Artificial Intelligence agents, is not just a dialogue about technology but a window into the urgent questions that education must now confront.

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Today we’re diving into a fascinating new research paper called “The Effect of ChatGPT on Students’ Learning Performance, Learning Perception, and Higher-Order Thinking”. This study looks at whether using ChatGPT in the classroom actually helps students learn better, think more deeply and feel more engaged.

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Today we are exploring OpenAI’s report titled “AI in the Enterprise”. This report draws from the firsthand experiences of major global companies that have successfully integrated artificial intelligence into their operations, using it not as a novelty, but as a serious instrument for transformation.

Though aimed squarely at enterprise audiences, the insights it provides are just as critical for educational leaders navigating the evolving landscape of AI in schools.

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Today we are exploring a compelling piece of research titled "Underreporting of AI Use: The Role of Social Desirability Bias", authored by Alex Imas and Yier Ling from the University of Chicago. This study, published on SSRN, delves into how perceptions and social norms are shaping what people say about their use of artificial intelligence, particularly large language models, in university settings.

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Today we are diving into a webinar I hosted called Education in the Gemini Era. We looked at the tools, the mindsets, and the practical shifts already taking place in learning environments across the world.

I was joined by an amazing panel consisting of Jennie Magiera and Steven Butschi from Google, Tom D’Amico and Geoff Edwards from the Ottawa Catholic School Board in Canada, and Matthew Gunkel from the University of California, Riverside.

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