Composition
9 published labnotes
Field dispatches, protocols, labnotes, and results from Yurei's experimental work. The stories may be lively; the evidence stays inspectable.
Browse published experiment families.
9 published labnotes
6 published labnotes
2 published labnotes
18 published labnotes
2 published labnotes
6 published labnotes
17 published labnotes
Human-readable debriefs around the work. Formal labnotes remain the evidence record.
We let the game’s own recorded route take the wheel in a headless test. The truck moved, the waypoint loop wrapped, and four software-rendered camera feeds left a time-stamped trail.
Published records ordered by research date.
Can the read-only Voidwright interface expose a damage-aware structural view and an inspectable HoloView image through ordinary Codex MCP tools?
Can a connected Space Engineers client display a virtual camera's position and orientation as GPS markers that track a moving vehicle?
Can Voidwright observe a connected human and a human-driven moving vehicle in a shared Space Engineers world, keep a grid-relative virtual camera attached, and return provenance-bound HoloView captures?
What can a bounded desktop recording and dedicated-server logs establish about a human-driven V3 valley session?
Can the V3 Red Truck's depth-guided controller reach the End Position GPS within a bounded low-speed operation?
Can the V2 Blue Utility Truck repeatedly reach the four color-zone GPS targets and return to Safe Spawn on the open proving-ground platform using bounded wheel guidance?
Can receipt-backed front-depth captures be registered to a long Voidwright drive trace to produce a useful, explicitly sparse terrain-height overlay?
Can the current Voidwright server controller bring a land truck to a defined approach radius while paired onboard and overhead HoloView feeds record the complete bounded trial?
Can a headless Space Engineers server export a bounded camera-frame sequence with pose/tick provenance and renderer-side scene context, without native framebuffer access?
Do short grayscale frame sequences plus ego-motion improve local spatial estimates over a matched single-frame baseline on held-out procedural geometry?
Can a versioned AI apparatus produce concise labnote orientations that preserve findings, limitations, and negative results without introducing unsupported claims?
Can suffix-triggered readiness plus bounded-span repair recover the deferred-composition idea without freezing incorrect surrounding structure?
Does deferring one locally uncertain span until right-hand context exists improve bounded composition over direct generation or unrestricted two-pass revision?
Can conversation-aware turn direction produce a convincing two-speaker exchange where isolated line direction does not?
Does enabling extended model thinking improve bounded composition enough to justify its latency and generation overhead?
Can a small multi-utterance candidate pool supply natural repeated readings for a held-out fingerprint-retrieval test?
Do lightweight acoustic fingerprints recover perceived emphasis and expressive delivery in the Prosody 015 corpus?
What coherent readings actually emerge when direct lexical-focus control fails?
Does removing the competing focus word from Qwen's instruction restore directional contrastive emphasis?
Can reference-free natural-language instructions produce natural, directionally correct contrastive focus?
Can whole-utterance reference conditioning reproduce an explicitly demonstrated contrastive focus without the artifacts of post-hoc DSP?
Can a semantic namespace token replace the full field dictionary when a local model interprets compact behavioral state?
Can two-minute behavior windows be represented compactly without loss, and does one local model preserve task recognition across prose, JSON, and typed tokens?
Which observable behavior families carry the 120-second held-seed task-inference signal?
Can the current Minecraft task be inferred from causal behavior while holding out an entire seed block?
Can repeated, task-balanced Minecraft sessions produce an interpretable behavioral vector whose within-condition variation is smaller than its uncertainty?
Which pilot steering coordinates are stable across story states, and can a blinded local model scorer reproduce the human measurements well enough to reduce future review burden?
Can blinded ratings of continuations from matched narrative states recover a repeatable directional steering vector for each model, distinct from story and prompt effects?
Does snowy-Hero successor candidate `3d37e24ca4e8b57038724062fe87a370c98ec208d5bc0f1663aeb907e40b50f8` generalize to a fresh balanced swamp holdout?
Does adding independently collected Hero-only Hoelbrak development data repair the snowy Hero weakness exposed by Labnote 015 without regressing Inventory?
Does deterministic localized candidate `bc155807a28aee1a2d7d10fb18a96b24d40b9fe300fc3e01650f70e5d61cc649` generalize to a fresh balanced holdout captured during the snowy Claw of Jormag encounter?
Does deterministic, class-balanced full-batch multiple-instance training retain Hero generalization after adding varied Inventory-only position data?
Does adding new Inventory-only development batches staged at left, right, and center positions repair the localized candidate's position dependence?
Does the localized panel candidate that passed development cross-validation generalize to a separately frozen, balanced live Small-UI holdout?
Can class-specific localized evidence avoid the environmental confounding seen by whole-tile transfer learning while preserving development-only evaluation?
Does adding an approved Inventory-only and closed-panel development batch fix the cross-batch false-positive behavior of the frozen MobileNet V3 Small panel classifier without spending a fresh holdout?
Does a frozen ImageNet-pretrained MobileNet V3 Small backbone provide enough visual structure to recognize Hero and Inventory across development batches without spending another holdout?
Can a compact CPU ridge classifier trained on masked Small-UI panel tiles generalize from two development batches to a recognition-disabled frozen holdout captured during a live world boss?
Can Zenith Vision recognize a concrete open Guild Wars 2 UI panel in a messy live scene without retaining the full frame or emitting unrelated screen text?
Can Zenith Vision execute its complete live privacy and authority boundary once against Guild Wars 2 without allowing an optional OCR failure to suppress valid MumbleLink telemetry?
Does the frozen Normal UI crop profile agree with independently drawn human boxes on fresh gameplay frames?
Does the frozen Normal UI crop profile remain visually acceptable across a fresh, independently collected gameplay batch?
Does one generic default-layout geometry describe the visible Guild Wars 2 HUD across the Small, Normal, and Large UI profiles?
Does the default-layout geometry baseline recover operator-reviewed visible HUD regions across a larger private gameplay holdout?
Can the deterministic default-layout proposal serve as a UI-region detector, or is it only suitable for conservative crop routing?
Does the negative Labnote 003 matched-versus-shuffled result persist when every audio clip is generated locally by a known, fingerprinted synthesizer and exact transcript fidelity is verified before downstream generation?
Does native lexical stress create reliable directional discourse prominence?
Can native Kokoro lexical stress produce natural audio and validate the intended focus mapping?
Can post-hoc focus control create audible, natural emphasis before spending human-review labor?
A second model pass may justify its cost when restricted to repairing one explicit residual defect in an otherwise complete direct rewrite, even though unrestricted optional editing showed no preference advantage in Labnote 005.
A modest nonzero sampling temperature can produce enough distinct optional editor outcomes to support a useful conditional blind review, provided exact duplicate answer pairs are removed before operator intake and remain visible as multiplicity telemetry rather than independent samples.
Optional editor access may be useful specifically when it chooses to change a direct rewrite, even if most assignments appropriately remain unchanged. A larger campaign can estimate both overall usefulness and preference conditional on a genuine editor-caused change without requiring the owner to review identical texts.
Giving a model optional access to constrained revision after a matched direct rewrite may improve judged output without forcing a mutation. Finalizing the initial candidate unchanged is a first-class treatment outcome.
Schema-constrained revision can reliably transform a seeded draft through real virtual-buffer mutations and produce outputs suitable for blinded comparison with direct rewriting.
An existing instruct model can produce deterministically applicable virtual-buffer operations reliably enough that fine-tuning is not yet justified.
Can a conversational model recognize a predictable semantic trajectory once per completed turn and request a bounded runtime-owned subscription that selects future speculative work more effectively than a stateless numeric readiness gate?
Can a runtime use a sub-millisecond readiness policy to select the minority of unfinished conversational turns where private speculative response work has positive net value, while abstaining everywhere else?
Can semantic branch prediction during an unfinished human turn safely hide language model latency, while a turn-state estimator reduces premature interruption and supports optional collaborative completion?
Can a language model infer an intended, backend-independent prosodic structure from discourse context when the literal target utterance is held fixed? Separately, can a Kokoro compiler render that structure so a listener can recover the intended reading?
Does adding delivery cues derived from the correct audio improve an LLM's response to flattened conversational text relative to text-only and shuffled-cue controls?
Does adding delivery/prosody information to a transcript improve or meaningfully change an LLM's conversational response?
Can the packaged file and simulated-stream ingestion paths produce consistent prosodic metadata from real spoken audio when transcription remains an external step?