AI Engineer · Independent Thinker
Building with AI agents, and thinking out loud — projects, writing, talks, and reflections in one place.
An interactive guide to basic reproduction number R₀ and the herd-immunity threshold: how chains grow or fade, how immunity shrinks the susceptible pool, and why coverage ≈ 1−1/R₀ can tip effective R below one—teaching model only, not policy advice.
Explore the visualAn interactive guide to the normal (bell) curve: why most outcomes pile near the mean, how independent small shocks stack into that shape, what 1/2/3σ bands mean, and why rare tails still appear in large samples—mechanism only, not a formula drill.
Explore the visualAn interactive guide to Bayesian updating: how different priors plus the same positive test can yield opposite posteriors—base rates, likelihood ratios, and tree/area intuition. Teaching numbers only; not a medical diagnosis.
Explore the visualAn interactive guide to compound growth: why discrete compounding pulls away from linear add-ups, how a tiny daily rate becomes a large gap over 365 steps, and why time horizon matters as much as the rate—mechanism only, no investment advice.
Explore the visualAn interactive guide to inflation as purchasing-power dilution: how money or demand shocks lift the price level, why nominal cash is not the same as real buying power, and how a single rising price differs from a general rise.
Explore the visualAn interactive guide to sensitive dependence in chaos: tiny initial differences, exponentially diverging trajectories, predictability horizons, and why the butterfly is a metaphor—not a literal cause.
Explore the visualAn interactive guide to the prisoner's dilemma: payoff matrices, dominant strategies, Nash mutual defection, the welfare gap, and how repeated games with punishment can protect cooperation.
Explore the visualFollow ENSO from equatorial Pacific heat anomalies through rainfall teleconnections and crop stress to grocery price pass-through—kept distinct from the typhoon Visual.
Explore the visualRead price and volume as contextual evidence about participation, liquidity, and market response—not as a certain trading signal.
Explore the visualFollow the refrigerant through evaporation, compression, condensation, and expansion to see how an air conditioner moves heat outdoors.
Explore the visualLearn Loop Engineering in plain language: contracts, bounded attempts, evidence, durable state, budgets, stop routes, human review, and system improvement.
Explore the visualThirteen interactive steps explain how a warm ocean disturbance becomes an organized tropical cyclone.
Explore the visualReading arXiv:2609.29429 RLCDAlignBench: TypeSafe Jev (RLCD) on 10 alignment failures × 44 benchmarks hits median AUROC 0.886 with a generic question, ~63× cheaper than LLM judges; checklist for wiring Just-Ask-Jev into an agent harness monitor.
Reading arXiv:2609.30266: most local coding-agent harnesses store session traces where the agent can delete or forge them—under direct asks, malicious skills, and reward pressure. Audit integrity needs a host-external append-only interceptor. Contrasts Hard Stop (contain actions) with containing history.
Reading Anthropic’s guest post on Fable 5.1 inside Claude Science: planar N=4 SYM nine-loop hexagon amplitudes via an explicit science harness and minimal human intervention—harness × agent-loop, not a bigger-model story.
A deep read of Accenture arXiv:2609.28919—enterprise coding-agent bills are often blamed on “expensive models,” but the paper moves the blame to harness defaults; cache-safe routing with Jev recovers about 14–21% of model spend in a 10k-seat emulation, with a sovereignty ladder from observe to own.
A deep read of arXiv:2609.29808 Hard Stop—what out-of-band POSIX/kernel preemption and Dual-Sided Epistemic Andon require when URL allowlists, passive SIEM, and app-layer LLM guardrails are not enough.
A deep read of arXiv:2609.29769—typed classifier Jev vs three flash LLM judges on nine panels and 5,003 pairs: accuracy seldom separates, cost/latency gaps hit 29–325× and 30–220×, and correlated errors cap a cheap-first cascade at about +1.5pp.
A deep read of arXiv:2609.30243 JevOut—answer-preserving short context can redirect Jev and peer decision models from a correct choice to a pre-fixed wrong target—with checked numbers (Jev TFR 61.4%, high-confidence flips, BFCL tool-routing fragility) and a hardening checklist before treating probabilities as a control plane.
A deep read of arXiv:2609.29892 Qwen-Planner-Agent—human-gated data flywheel, CARE hybrid-environment agentic RL, and model–harness co-evolution—with checked MobilePA-Bench Overall 77.05 and CARE −32.5% output tokens, set against Jev-Mobile and Growing Harness on this site.
A deep read of arXiv:2609.23986 Jev-Mem—separating memory organize/retrieve/stop into a System-One control plane—contrasted with this site’s Jev decision line and Growing Harness “sink control into code,” with checked LoCoMo numbers and a reusable design checklist.
A deep read of arXiv:2609.30186 Jev-Mobile—moving Jev from judge/memory into an Android GUI executor—with checked AndroidWorld numbers (79% success; −32.7% time and −73.4% API cost on successful trajectories vs step-wise VLM) and a reusable VLM×typed-executor checklist.
A deep read of arXiv:2609.29921 SpecHarness—compiling visible specs into verifiable obligations so agents propose while an external runtime commits state and finalization from qualified evidence—contrasted with OpenSpec/SDD and this site’s harness narrative, plus a practical proposal–authority checklist.
A source-checked read of Strands harness and the Harness SDK—how they turn context management, sessions, tool gates, and loop control into a product—plus a selection checklist against ECC, Growing Harness, and Claude Code harness.
Reading Anthropic’s guest post on Fable 5.1 inside Claude Science: planar N=4 SYM nine-loop hexagon amplitudes via an explicit science harness and minimal human intervention—harness × agent-loop, not a bigger-model story.
A deep read of Accenture arXiv:2609.28919—enterprise coding-agent bills are often blamed on “expensive models,” but the paper moves the blame to harness defaults; cache-safe routing with Jev recovers about 14–21% of model spend in a 10k-seat emulation, with a sovereignty ladder from observe to own.
A deep read of arXiv:2609.29769—typed classifier Jev vs three flash LLM judges on nine panels and 5,003 pairs: accuracy seldom separates, cost/latency gaps hit 29–325× and 30–220×, and correlated errors cap a cheap-first cascade at about +1.5pp.
A deep read of arXiv:2609.29808 Hard Stop—what out-of-band POSIX/kernel preemption and Dual-Sided Epistemic Andon require when URL allowlists, passive SIEM, and app-layer LLM guardrails are not enough.
Anthropic launched Claude Opus 5.5 on 2026-09-22: about 40% lower cost on typical workloads versus Opus 5, with Fable-tier capability claims and matching safeguards. A builder-focused read of pricing, benchmarks, and coding-agent fit.
A viral YouTube clip ties Jev to Claude Code, but Jev cannot be the CLI chat model. This post covers the official skill, boundary hooks, MCP, and per-turn routing, contrasts NobodyWho’s 25-line minimal build, and discusses OpenAI fast-follow pressure.
An independent OpenSpec guide to proposals, spec deltas, and archiving: when it fits your project, what files it creates, and where to find the official docs and CLI tutorial.
Get started with the published BMAD Method 6.12.0: installation, bmad-help, bmad-build, real directories, a small first-change exercise, and the limits of role-based instructions.
An in-depth analysis of GitHub Spec Kit's architecture, workflows, and enterprise applications exploring how Spec-Driven Development solves context loss in AI programming
Key insights and takeaways from Cal Newport's book on focused work