Next Tuesday · October 6 · Noon Central
Keeping Culture Human When AI Joins the Workforce
Jesse Pudles explores how to maintain trust, engagement, and culture as AI joins the workforce.
Aberdeen, South Dakota
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We print the future here.
Next Tuesday · October 6 · Noon Central
Jesse Pudles explores how to maintain trust, engagement, and culture as AI joins the workforce.
Following week · October 13 · Noon Central
Gerrett Archambault, Shane Pope, Tony Jefferson, and Praveen Mayakar explore reflection, judgment, and awareness in the age of AI.

Latest story · AI Mastermind AfterShow
Yazan Barakat of goBare.AI joins Joe Moore and Katrena Drake to explore privacy, biomimicry, and who holds the conversations we give AI.
The forecast desk
We use AI 2027 as a set of questions for reading the present. A forecast is a hypothesis, not a date on the calendar. Why we print the future ↗
The scenario is a research forecast, not a report of events. Where the subject directly connects, Ledger stories link to a forecast supplement; adjacent frontier technology is labeled separately. Guests’ views remain their own. Source links stay with the original publisher.
From the Ledger · original reporting
Published Digital Cowboy reporting, Mastermind field notes, and CYOG conversations. Select a forecast lens to follow the thread.

Yaz of goBare.AI joins Joe Moore and Katrena Drake to explore AI privacy, biomimicry, and staying the architect of your own AI usage.
“Who is holding that data? What are they actually doing with it?”— Yaz · goBare.AI · transcript 3:31.724

Jeff Valin, Chad Cook, and Tyler O’Neal unpack model cost, repetitive tasks, and human judgment in the September 22 AI AfterShow.
A sourced MIT research story meets Tony Maida’s timestamped CYOG AfterShow insight on quantum-ready developers.

Tony Maida explores quantum software engineering, AI, developer readiness, and the next computing frontier in this CYOG AfterShow.
“installing a quantum SDK makes you quantum ready in the same way that installing AutoCAD makes you a structural engineer.”— Tony “Misfit” Maida · transcript 6:13.920
AI Frontier Collaborative Mastermind explores kill-switch power, AI consumer gatekeepers, business liability, and the human judgment that must remain.

John D. Allen’s AI Mastermind AfterShow reveals how clear positioning, buyer hunger, and earned trust help businesses escape price competition.
“people don't buy when they understand you. They buy when they feel understood.”— John D. Allen · transcript 4:7.611

Shane Pope explains why human-centered AI should strengthen judgment instead of replacing it—and how Remi uses reflection, boundaries, and care to keep people in control.

AI agent security, Google Search, and trust: the September 1 AI Frontier Collaborative Mastermind recap, with community perspectives and practical takeaways.
Published stories from Digital Cowboy. Latest edition · September 30, 2026.
The source desk · standing research library
Five standing research lenses. Below them, follow the September 15, 22, and 29 AfterShows back to the source material. Episode references and editorial context are labeled separately.
Models the scale and use of AI compute. A GPU infrastructure forecast, separate from quantum computing.
No direct Ledger coverage in this forecast lens yet.Examines when highly capable coding systems might arrive, with uncertainty in the estimate.
No direct Ledger coverage in this forecast lens yet.Examines how automated AI research could change the pace of progress.
No direct Ledger coverage in this forecast lens yet.Explores where advanced systems’ goals may differ from human intent.
In our Ledger: Who holds the kill switch? ↗Explores model theft, espionage, and safeguards around frontier systems.
In our Ledger: AI agent security, search & trust ↗On the reporting trail
Wiz Research · DeepSeek database exposure: chat history and secret keys · 2025-01-29 ↗Mentioned by Yaz · Sep 29 AfterShow · 11:15.262. Wiz says DeepSeek secured the exposure after disclosure. Read the related story ↗
OpenAI · How people are using ChatGPT · 2025-09-15 ↗Study mentioned by Yaz · Sep 29 · 2:04.192. The published study reports approximately 30% work and 70% non-work consumer usage; non-work does not mean all conversations contain secrets. Read the related story ↗
OpenAI developer documentation · Production best practices ↗Editorial context for the Sep 22 discussion of model fit, cost and ownership. This document was not cited by the panel. Read the related story ↗
OpenAI developer documentation · Data controls in the OpenAI platform ↗Editorial context for the Sep 22 discussion of data governance. API controls and consumer ChatGPT settings are distinct; this document was not cited by the panel. Read the related story ↗
NIST · First three finalized post-quantum encryption standards · 2024-08-13 ↗Editorial context for Tony Maida’s Sep 15 discussion of post-quantum skills · 4:45.774. Post-quantum cryptography is a migration discipline; this release was not cited in the AfterShow. Read the related story ↗
Current outside reporting
Five forecast research references · five source documents tied to the last three AfterShows.
From recording to record
Read the public stories here. Watch the full conversations and continue with the AI Posse inside the Territory.
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Watch Now ↗A call for contributors
Building, testing, teaching, or seeing something the frontier needs to know? Bring your perspective to the free AI Mastermind. AI Posse members can put their work in the directory and be considered for panel conversations. Selected voices may be quoted in the Ledger or invited into a deeper AfterShow story.
Join the AI Posse for $9/month to apply for a reviewed directory profile, access published replays, and raise your hand for panels. Panel seats, quotes, and editorial features are selected by topic and are not guaranteed.