#reasoning
reasoning shows up across 3 section(s) and 5 page(s) in this workspace. Use this page as a topic map, not just an archive.
Start here
If you are new to this topic, begin with the strongest entry points first, then move into related notes and supporting material.
Where it appears
- Systems 2 page(s)
- Self 1 page(s)
- Shelf 2 page(s)
What Large Language Models Are Optimized For
Why next-token prediction shapes both capability and failure modes.
The Logic Void: Where AI Reasoning Breaks Down
Where AI reasoning reaches its boundaries, why those boundaries matter for system design, and how to build reliable systems that acknowledge the limits of logic.
Learning to Say I Don't Know
What I learned about trust and reliability when I started designing systems that acknowledged the limits of their own reasoning.
Deep Thinking AI (JEPA) deck
A conceptual deck on JEPA-style world modeling and why prediction targets matter for system behavior.
The Logic Void deck
A strategic exploration of where logic breaks down in AI systems and how to design around those boundaries.