#ai

How Karpathy's LLM wiki pattern maps onto educator knowledge work and local AI systems.

Why I use AI to mirror my voice without outsourcing the thinking that happens in drafting.

Practical ways to tell which AI model you are using when platforms and models stay opaque.

Why language models confidently misidentify themselves, and why that matters for AI literacy, trust, and how we evaluate these systems.

Notes from a March 2026 talk on helping learners use AI without surrendering judgment, agency, or responsibility.

What building TrustSense revealed about the current state of local AI: the model is easy now, but the real challenge is system design and trust.

Why the phrase "AI illiteracy" sounds useful at first, but may distort how we think about literacy, access, and responsibility.

Why the hardest part of bringing AI into curriculum is not logic or pedagogy, but the logistics, shame, and practical constraints educators actually face.

Why collapsing every generative system into "ChatGPT" weakens our thinking about AI, learning, and what these tools actually are.

How I turned a pile of local services into a coherent private cloud with domain names, HTTPS, and a real front door.

Why agency in AI work often feels like productive friction.

Why checklists feel reassuring in complex digital systems, and why they often fail when what we really need is literacy and judgment.

How I went from thrifted hardware and confusion to a stable Proxmox base for the rest of my homelab.

Why prompt engineering is less about crafting perfect inputs and more about orchestrating an ongoing dialogue with the system.

What it means to federate your self across website, newsletter, and notes.

How Obsidian can turn a newsletter into a connected knowledge garden.

Why building a homelab helps me understand the systems I rely on.

How to move from running local AI to using it well.

How to get started building your own local AI sandbox with LM Studio.

Why it's time to start experimenting with your own personal AI sandbox.

What the files inside a local AI model actually do.

How to evaluate new AI tools before you trust or buy them.

Why understanding the structure of an AI model matters.

What happened when I connected an AI to my personal knowledge system.

How a newsletter grew into a larger digital literacy project.

What MCP makes possible when AI can inspect your actual notes.

What RAG is and how it helps AI answer from your notes and sources.

How MCP extends personal AI beyond a single tool or platform.

Why we should reclaim our tools instead of letting them control us.

What gets lost when technology treats optimization as the default value.

A question about what problem AI is really trying to solve.

Why educators have a hidden advantage when working with AI.

Why language skills are key to getting better results from AI.

Why not all knowledge can be reduced to written code.

A practical toolkit for bringing human judgment into AI-supported teaching.

How Google tools can support a second-brain workflow.

How prompting works as a pedagogical conversation with AI.

How to design AI loops that keep human flourishing at the center.

What it means to stay responsible and human in AI-assisted work.

How AI can amplify human thinking in education.

The key dilemmas that shape an honest conversation about AI and education.

How educators are thinking about AI and the future of learning.

How I turned my digital garden into an interactive knowledge space.

How to prepare future teachers for an AI-integrated classroom.

How one school of education is shaping AI policy for teaching and learning.

Why AI research works better when you use multiple perspectives.

How AI literacies fit into education and classroom practice.

How to choose the right AI tool for your needs.

What DeepSeek's rise says about competition and disruption in the AI market.

How generative AI is reshaping education and learning practice.

How AI helped turn a newsletter archive into a connected system.

How generative AI can act as a critical friend in writing.

How AI can support SEL and empathy in digital classrooms.

How human judgment fits into AI training, validation, and adjustment.

A student-friendly introduction to what AI is and how it works.

A playful look at generative AI and the question of selfhood.

How experiential learning and AI can work together in practice.

How experiential learning and AI could reshape education.

Why good systems blame design less and users less often.

Why running models locally is worth learning and experimenting with.

How generative AI is reshaping literacy education and classroom practice.

How ChatGPT can help archive a WordPress blog into Obsidian.

A wicked-problem STEAM assignment for using generative AI to analyze complex issues.

Why education needs to adapt to a more complex, rapidly changing world.

How AI changes the way we think about the self and our work.

What humans still do better than computers and why it matters.

How QAnon grew from fringe internet spaces into a political force.

What it really means to do research well.

What AI can and cannot tell us about consciousness.

How creativity and innovation can be taught with technology.

Questions for thinking critically about your own technology use.

The promise and risks of educational technology in today's classrooms.

How a digital commonplace book can help organize ideas.

Why AI systems should be aligned with human values and public interest.

How online phonics modules can support pre-service teachers.

A takeaway on how new technologies reshape society and power.

Why K-12 AI adoption needs balance, ethics, and human judgment.

How AI changes the writing process and what schools should do about it.

How code and ethics shape media and information literacy.

Why education has a central role in the AI revolution.

How AI can help protect user data in a breach-prone digital world.

How to choose among AI and LLM models for a specific use case.

How trustworthy data shapes AI tools for detecting cyberattacks.

How to build an AI tool that helps identify trustworthy information.

A fictional AI startup pitch about trust, safety, and authenticity online.

How AI can help people brainstorm and make decisions together.

How AI is changing education, teaching, and learning.

What educators should know about the promise and risks of generative AI.

How AI is changing the work teachers do and what that means for education.

What theory of mind tests can and cannot tell us about AI.

How to think about academic rigor as a condition for learning.

How generative AI tools can change the way presentations get made.

How AI fits into online reading comprehension and new literacies research.

How to introduce future teachers to virtual AI assistants.

How privilege shapes the future of AI in classroom settings.

How AI virtual assistants are evolving in public view.

How AI pushes knowledge workers to balance manager and maker modes.

How Bing and ChatGPT are shifting search toward generated answers.

How an AI writing assistant can help draft a conference proposal.

How ChatGPT changes classroom conversation and why the underlying model matters.

What experts think digital life may look like in 2035.

A reflection on cleaning up scattered digital habits, clarifying where different kinds of work belong, and building a more coherent publishing practice.

How bots, friction, and human touch shape the user experience.

Why human teachers still matter in an AI-shaped future.

A reminder to stay on offense when setting and pursuing goals.

How joy, love, and aesthetic fulfillment fit into literacy.

A reflection on ikigai, purpose, and what you want from your work.

How to stay high-tech without losing the human side of teaching.

How music becomes the soundtrack for memory, feeling, and identity.

How to think about temporal patterns in qualitative research.

A reflection on what it means to own a domain, build a home on the web, and keep shaping that space over time.

How privacy and security differ, and why the distinction matters online.

How Hypothesis supports online annotation, research, and discussion.

An early look at conversational bots in education, and why new interfaces always demand new literacies, habits, and forms of judgment.

Why transparency matters in higher education and where the system still hides information.

How Vialogues can support video-based classroom discussion.

A reflective piece on digital identity, unfinished work, and the fear of leaving imperfect traces of yourself online.

A personal reflection on dreams, grief, memory, and the way old losses continue to shape the stories we tell about ourselves.

How Google Hangouts can enhance online discussion and collaboration.

Key lessons from hosting an open badging initiative.

Yuval Noah Harari

Shannon Vallor

Reid Hoffman

Kate Crawford

Hannah Fry

Marvin Minsky, Seymour A. Papert

Ann Leckie

Position statement · Nash, Brady L; Garcia, Merideth; Young, Carl A; Turner, Kristen Hawley; Rice, Mary; Piotrowski, Amy; O'Byrne, W Ian; McBride, Cherise; McGrail, Ewa; Moran, Clarice. (2025). Exploring, Incorporating, and Questioning Generative Artificial Intelligence in English Teacher Education. English Education.

Position statement · Nash, Brady L; Garcia, Merideth; Young, Carl A; Turner, Kristen Hawley; Rice, Mary; Piotrowski, Amy; O’Byrne, W Ian; McBride, Cherise; McGrail, Ewa; Moran, Clarice. (2024). ELATE Position Statement: Exploring, Incorporating, and Questioning Generative Artificial Intelligence in English Teacher Education. National Council of Teachers of English.

Journal article · Nash, Brady L; Hicks, Troy; Garcia, Merideth; Fassbender, William; Alvermann, Donna; Boutelier, Stefani; McBride, Cherise; McGrail, Ewa; Moran, Clarice; O'Byrne, Ian. (2023). Artificial intelligence in English education: Challenges and opportunities for teachers and teacher educators. English Education.