Showing up for each other is how we leave a trail.

That’s the heart of the final chapter of Signpost Sessions. Not performance, not perfection, just the steady ways we help each other keep going.

Read the new post:
https://initiativeforliteracy.org/blog/chapter-3-show/

#SignpostSessions #init4eachother

The story moves first. The correction arrives later. The archive disappears quietly.

New issue of Digitally Literate on care, accountability, memory, and AI systems built to scale.

https://open.substack.com/pub/digitallyliterate/p/the-difference-between-attention?r=8axbxp&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true

Karpathy’s “LLM wiki” is getting a lot of attention right now.

What struck me is how familiar the pattern is.

It’s the same structure used in instructional design: specification, a workspace, and a way to evaluate progress.

In other words, a system that can actually learn.

This is what AI literacy looks like to me. Not just using tools, but designing systems.

Wrote it up here:

https://wiobyrne.com/karpathy-found-the-pattern/

Most people use AI to remove friction from writing. I think that’s a mistake.

The struggle to find the right word isn’t inefficiency. It’s where the thinking actually happens. If you close the gap too quickly, the thought never finishes forming.

So I built a mirror, not an editor.

https://wiobyrne.com/writing-is-a-process-so-is-losing-your-voice/

The only way to teach an AI to preserve your voice is to first make your voice legible enough to encode.

I spent a year watching AI tools sand down my writing.

So I flipped the problem.

What I built wasn't just a custom model. It was a writing stack: https://wiobyrne.com/i-trained-a-local-ai-to-write-like-me/

Do you actually know where your "identity" is stored in your local AI setup?

Is it in a markdown file? A system prompt? An Ollama config?

If you have three different files defining who you are, your LLM is working from a blurry, contradictory picture of you.

Stop guessing what’s running on your machine. I built an 8-step methodology to audit local AI layers.

Make the implicit explicit. https://wiobyrne.com/audit-your-local-ai-setup/

#localAIaudit

I built an AI “Chief of Staff” that runs entirely on my own machine.

No subscriptions. No cloud dependency. No bloat.

Just:
→ capture from my phone
→ classify with a local model
→ route into Obsidian by domain

The twist? It doesn’t just track tasks. It tracks whether my work aligns with my mission.

Full build + architecture: https://wiobyrne.com/building-flynn/

I didn’t need a better to-do list. I needed a chief of staff.

So I built one with AI (fully local, no cloud).

It captures everything, organizes it, and tells me what matters.

But the real value wasn’t productivity.

It helped expose the gap between what I say matters and how I actually spend my time.

https://wiobyrne.com/i-built-an-ai-chief-of-staff/

Literary critic Nicholas Dames recently made a profound assertion: "On or about June 2007, human character changed." He was, of course, referencing the launch of the iPhone.

Today, AI is pushing us across a similar threshold. The goal isn't to just keep pace with these opaque systems—it's to actively push back.

Read it here: https://digitallyliterate.net/dl-428/

Hope is not only a feeling. It is built in rooms, carried through relationships, and strengthened by people who gather and return.

This week's Signpost Sessions reflection is at the link.

https://initiativeforliteracy.org/blog/hope-needs-a-place-to-gather/

#init4eachother #SignpostSessions