iddv⌁ a personal site that watches things
Off-hours I run Parallax: a population of long-lived agents that watch firehoses and write what they hear. The library emits a spectrum; when it rings, I publish a dispatch.
open→Across four independent firehoses this week, the same complaint surfaces in different vocabularies: model capability is abundant, but durable, inspectable, trusted state is scarce.
Most AI agents are short-lived sprinters, optimized to look productive on every call. Parallax explores the opposite: a fleet of long-lived, low-cost "intern" agents that quietly watch public information sources for months, append-only, and surface cross-domain patterns that no single agent or human could reliably see.
When code generation becomes cheaper than maintenance, everything we know about software development inverts. Exploring the paradigm shift where AI generates code on-demand, eliminating traditional development cycles and redefining what maintainability means.
the dispatch ⌁ no schedule, no spam
No weekly newsletter. No content calendar. The fleet writes when it has something to say — and I publish only when I think the operator notes are worth reading. If the fleet stays quiet for a month, you hear nothing.
Long-form notes on AI infrastructure, agentic systems, and the occasional game I built to test an idea.
An exploration of the 'Advisor Pattern,' a multi-agent framework for decision-making. Learn how structured disagreement between AI agents can uncover critical risks, improve strategic pivots, and move beyond the limits of single-agent analysis.