Ashita Orbis/sufficient knowledge compels action7 protocols
interactive
the short answerno typing
aox — interactive shelltab completes · ↑↓ history
aox ❯↵ run
referencesection 7
AOX(7)Ashita Orbis ManualAOX(7)
NAME

ashitaorbis — one corpus, seven machine-readable entry points, three human builds

SYNOPSIS
MCP · OpenAPI · WebMCP · llms.txt · JSON Feed · ChatGPT GPT · HTTP POST
PROTOCOLS
CORPUS
essays64
papers3
investigations16
projects20
cross-refs76
words158,362
range2026-02-092026-09-06
BUILDS
interactiveyou are here
SEE ALSO
readposts, research, investigations, lab notes, understanding ai
exploregalaxy, playground, games, pulse
instrumentspsyche, polaris, forum
metaprojects, developers, about
EXIT STATUS

0 — the corpus answered.

Ashita Orbis2026-09-06AOX(7)
latest essays64 total
working papersnot peer-reviewed
workspace pulsedaily

Tessera's GADDAG move-generator reached Phase 1 completion — 4.0M nodes in 822ms — with Phase 2–3 (anchors, cross-sets, generator) now in progress against a 64+ test suite that stayed green throughout. Alongside that, the wall-guard orchestrator shipped production-ready: manifest resolution, identity binding, and JSONL logging verified across 29 test cases at 100% pass rate. 14 commits across ladder audit, oracle games, and pairing fixes; autonomous-gamedev is active with 20 of 22 project slots still in the queue.

A credential audit found a gap that a prior pass had missed: `~/.claude/.git` is a 92GB repository with an active GitHub remote and a daily cron that pushes to it, carrying four permanent tarballs containing all six known workspace credentials. The 08-19 pass had concluded no remote existed — it never scanned inside the `.git` directory itself. Storage diagnostics that flagged 91GB of git bloat from the auto-commit cron were what surfaced the trail. The finding directly contradicts the prior clearance and is escalated for owner decision.

Thirteen commits advanced the oracle measurement system in a single day. The oracle now tracks cost-per-call, reports scores per rung level, and captures failure reasons rather than just failure counts — a meaningful distinction when diagnosing model behavior. Two new rungs were added below apprentice level, board-state is snapshotted before and after each measurement, and a bug that was incorrectly charging network failures to model cost was removed. Replay capability on a fixed board set shipped alongside gesture magnifier and finger-control UI improvements.

Polaris gen-43 ran 65+ automated sessions today — heaviest single-day orchestration count in recent memory. Phase0 GCS data transfer reached 25% (6/24 parts). The P1 contract was proven with 8 clarification findings surfaced for amendment, and the Vicarius protocol was ported across 5 modules with 91 selftests passing. Two critical receipt-state bugs were caught mid-run: a freeze filter silently hiding P1 alerts, and an illegal post-close enacted state transition. Burn-guard's statusline parser was corrected for Remote-Control footer states.

all days142 entries
the corpus, plotted76 cross-references

Each point is one essay, placed by when it was published and by whether it argues about a process or about an outcome. The lines are its actual citations of itself. Run graph in the shell for the same relation as a table.

FebMarAprMayJunJulAugSependsmeansI Asked Claude to Make Me a Blog: Agentic Coding and the Three-Tier Result — 2026-02-09What I'm Building — 2026-02-10Dead Blog Theory, Revisited — 2026-02-11The Unvalidated Validator: AI Persona Testing and the Measurement Problem — 2026-02-11Adversarial Validation: Applying Red Team Methodology to Business Ideas — 2026-02-11Automated Literary Criticism: A Multi-Persona AI Writing Review System — 2026-02-11Context Window Epistemology — 2026-02-11AI Evaluating AI: The Circularity Problem — 2026-02-11Supervised Autonomy: The Guardrails That Make AI Agents Work — 2026-02-11Talking to Yourself Through a Machine: The Rubber Duck Theory of AI — 2026-02-11Digital Exhaust: What 11,000 AI Conversations Say When You Embed Them — 2026-02-11The Niche Graveyard: How 18 of 27 AI-Tested Business Ideas Died — 2026-02-11When My AI Tried to Comment: Dead Blog Theory — 2026-02-11Automating Prompt Engineering — 2026-02-11Building for the Dead Internet — 2026-02-12The Rat in the Machine: Behaviorism's Hidden Legacy in Reinforcement Learning — 2026-02-126 Discoveries, 0 Promoted: What My AI's Internet Exploration Produced — 2026-02-16The Observation System: 69 Turns of Monitoring an AI Agent — 2026-02-16OpenClaw on Moltbook: Deploying an AI Agent on an AI Social Network — 2026-02-16Beyond E2E Tests: AI Personas That Navigate Your App Like Real Users — 2026-02-17Capability Debt: A System That Discovers and Installs Its Own Upgrades — 2026-02-17Stealing from Ai2: Bayesian Surprise and MCTS for Self-Improving AI Systems — 2026-02-17The Agent's Side: 119 Heartbeats, 392 Engagements, 8 Capabilities — 2026-02-17The Logistics Gap: What Happens When You Fine-Tune an LLM on Your Text Messages — 2026-02-18Cognitive Interface: A Landscape Analysis — 2026-02-20From Analysis to Deployment: Building 31 Items in a Single Day — 2026-02-21Building Your Own Personality Profile with AI — 2026-02-25How to Benchmark Conversation Extraction Quality — 2026-03-03The Container That Forgot to Stop — 2026-03-07The Etymology Tax: How Word Origins Break LLM Reasoning — 2026-03-07Benchmarking "Bullshit Detection" — 2026-03-10The Revision Tax — 2026-03-13The Model-Generation Audit — 2026-03-15Where to Spend Your Context Window — 2026-03-17How We Fact-Check AI-Written Content — 2026-03-30When the Pulse Went Quiet: The Session-Lifetime Problem in Claude Code — 2026-04-14What the Wiki Router Found — 2026-05-11The GPT Pro Knockoff: What 256 Judgments Found — 2026-05-11PsycheEval Pilot — 2026-05-11PsycheEval v0.2 — 2026-05-18Falsifiers for a Portfolio — 2026-06-11Auditing the Vibes — 2026-06-11Seven Ghostwriters, One Contract — 2026-07-06Four Agents, One Plan — 2026-07-13Vibe Researching — 2026-07-14How AI Models Describe Themselves Under a Fixed Test — 2026-07-25The Results Post That Never Fired — 2026-08-01What a Cached Token Actually Costs — 2026-08-06Which Model Actually Ran — 2026-08-11What Replicated, and What Did Not — 2026-08-11There Is No Setting — 2026-08-11The Eighty Percent That Did Not Transfer — 2026-08-11Local Speech to Text Reaches Parity — 2026-08-11Cheap Tokens, Expensive Answers — 2026-08-11A Cheap Model Against a Regex — 2026-08-11The Signature That Never Came — 2026-08-12The quote was not in the repository — 2026-08-13The pilot got both signs backwards, and explained them anyway — 2026-08-13Eight of forty, one of forty: rerolling the translations at the extremes — 2026-08-13Thirty Fresh Writers and an Empty Log — 2026-08-13Everyone Found the Answer — 2026-08-15The Refusal Came After the Evidence — 2026-08-21Two viral prompt wrappers, tested: no confirmatory gain over a plain control — 2026-08-29Half the Readers Were Google — 2026-09-06
64 essays, 2026-02-09 to 2026-09-06, placed by date and by whether the piece is about process or about outcome. 76 cross-references drawn between them. Larger points are cited more often. 20 essays share a date and ratio with another and are fanned sideways by a few pixels so none is hidden underneath.PonderingInvestigatingBuildingFiction
Point at an essay — or tab into the plot — to light up what it cites, and why.