AI Governance Audit
PR Approval Is Not Evidence
GitHub shows that someone clicked approve. It doesn't show what they reviewed, what risks were present, or why approval was reasonable. That distinction just became expensive.
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Thoughts on AI risk, governance, and adoption strategy for teams where mistakes are expensive.
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AI Architecture
Context Cascade and the Attention Economy: Why Smarter AI Still Needs Scaffolding
The attention economy applies to AI the same way it applies to humans. Context windows are finite. Progressive disclosure isn't a nice-to-have - it's the fundamental constraint.
Read more AI Enterprise AI
The Infrastructure Paradox: Why Better AI Models Won't Save You
Enterprise AI adoption is approaching an inflection point. Organizations upgrading to newer models without infrastructure readiness will see marginal gains.
Read more AI Infrastructure
While YouTube Theorizes About AI Agents, I Built the Actual System
The future isn't evenly distributed. 2026 is the year of the AI flywheel - and that changes everything if you act now.
Read more AI Trends Biotech
AI Zeitgeist Week 52: The Year's Final Patterns
What the last week of 2025 reveals about where AI is actually heading - and what biotech teams should watch in 2026.
Read more AI Architecture
Building AI Systems That Remember: What 660 Components Taught Me About Scale
Most AI tools forget everything between sessions. I built a 3-part system to fix that. Here's what actually works for production AI at scale.
Read more AI Code Quality
Why Opinionated Code Analysis Gives You More Power, Not Less
Automated auditing feels like losing control. It's actually how you scale judgment. Here's why the teams that embrace constraints ship faster.
Read more AI Linguistics
The Language Your AI Thinks In Might Matter More Than The Language It Speaks
Russian speakers see blues differently. Turkish speakers track information sources better. What if AI models encode these cognitive patterns too—and we can activate them strategically?
Read more AI Strategy
Psychological Motion Capture: The Missing Framework for AI-Ready Knowledge Work
Everyone's building AI workflows with code metaphors. The better model is motion capture—recording expert thinking as auditable, replicable processes that AI can execute.
Read more AI Career
Liberal Arts Majors Are About to Have Their Moment
For two decades, STEM was the safe bet. AI is reversing that—models respond to precise vocabulary, and liberal arts majors have it.
Read more AI Strategy
Why Most Enterprise AI Will Fail (And It's Not the Model's Fault)
The real constraint isn't model quality—it's that most enterprise knowledge work has no ground truth to validate against. Organizations that define falsifiable success conditions will win.
Read more AI Strategy
The AI Feature Nobody Talks About: Access to Expert Knowledge You Don't Have
Most AI advice focuses on speed. The more interesting capability is access to compressed expertise from communities you'll never be part of.
Read more AI Software Development
The Pyramid Is Dead: How AI Changes What It Means to Build Software
Software development used to be pyramid construction. With AI tools, building is cheap. Rebuilding is cheap. So what replaces the old model?
Read more AI Risk Biotech
Why Biotech Teams Need AI Governance Before AI Tools
Most biotech VPs are rushing to adopt AI tools. The smart ones are building governance frameworks first. Here's why that distinction matters for reducing risk.
Read moreExternal Writing
Published on other platforms
AI LessWrong
The Influence of Cultural Subconscious on AI Language Models
Exploring how shared human archetypes shape AI behavior - a comprehensive analysis of archetypes and communication
Research Research Paper
Antibacterial Properties of Spotted Lanternfly Wings
Nanostructure research examining nanopillar structures and their effects on E. coli growth
Community LessWrong
Reflecting on the 2022 Guild of the Rose Workshops
Retrospective on workshop design, delivery, and community building
These pieces show my scientific and probabilistic background, which informs how I teach AI risk and reliability.