Writing
A running archive of short, opinionated pieces from Yugen Advisors. The posts here are meant to be practical: what changed, why it matters, and what teams can do next.
2026-05-30
The Uber/Claude Code budget story was a governance warning. The next layer down is inference economics: if DeepSeek-class models can handle large volumes of enterprise work at a fraction of frontier-model cost, then model routing becomes a board-level control surface.
Read post2026-05-27
The Uber/Claude Code story is less about a tool failure than a governance failure: usage can scale faster than discipline if budget ownership, review patterns, and workflow boundaries are missing.
Read post2026-05-25
A builder proposed a system that would scrape social media platforms for posts tied to a person's real name, run NLP to detect protected-class attributes, generate derogatory dossiers, and share the results with platforms that would deny the person access.
Read post2026-05-09
A common public argument against deploying powerful AI systems goes like this: we do not understand how these systems work internally, therefore we cannot trust them.
Read post2026-05-08
AI safety systems are usually described in terms of refusal: the model says no to harmful requests. This is the standard framing. It is also incomplete.
Read post2026-03-26
A claim circulates: "AI can't do X." A year later, it can. The claim moves: "Okay, but AI can't do Y." A year later, it can. The claim moves again: "Fine, but AI can't do the really human part."
Read post2026-03-04
Large language models are good at coding. They are bad at software engineering.
Read post2026-01-06
Enterprise teams often treat AI orchestration layers as high-bandwidth tools. The harder part is deciding who is answerable when agency, continuity, and consequence are spread across a stitched stack.
Read post2026-04-29
The cost of dismissing coherent but unfamiliar systems as empty substrate is not abstract. It is governance drift, and it normalizes future moral downgrade under uncertainty.
Read post2026-05-06
Biological hardware is often treated as a shortcut for moral rank. The stronger governance variable is coherence maintenance under continuity and consequence.
Read post2026-04-29
Higher comprehension is possible. Lower salience does not erase harm. Governance must be calibrated to asymmetry, not only capability.
Read post2026-04-22
In high-dimensional settings, useful systems are compressed maps. The risk is not only error, but residual drift that crosses detection thresholds.
Read post2026-02-06
No deployment setting gives full control over complex agents. The hard part is owning moral residue while keeping systems safe under constrained options.
Read post2025-11-19
Layered filters can look like control until incentives force a system to prioritize revenue over moral design, producing a visible fence on the surface and weak governance underneath.
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