Evaluation
Type: types/tag-readme.md
This tag gathers how claims, changes, and agent outputs are judged and tested: oracles and LLM judges, what an evaluation warrants, the difference between a claim's warrant and its fit in a working theory, experiment, ablation, and benchmark design, and evidence records from Commonplace's own review and rewrite runs. No single defining note anchors it; warranted autonomy is bounded by oracle domain states the constraint most members work under: an evaluation licenses action only over the candidates its oracle can assess. Members span notes, evidence records, reference docs and proposals, and system analyses. Nearby but different: llm-reliability covers why LLM output deviates from intent and how to correct it; a note belongs here when its question is what a check, judge, or experiment can establish. This head is selective; use a scoped tag search for full membership.
Oracles and judges
- Warranted autonomy is bounded by oracle domain — autonomy is free, but warranted evaluation autonomy extends only as far as a confident oracle reaches
- Evaluation automation is phase-gated by comprehension — error analysis and demonstrated judge discrimination come before an automated loop can improve behavior rather than just score
- Weakly discriminated qualities tend to be underselected — conjecture: unequal oracle discrimination yields unequal enrichment under proposal selection
- Reasoning production is not reasoning evaluation — a critic can reconstruct the answer instead of checking the reasoning, so process validity needs its own check
- Review automation should target verifiable subroles before reviewer identity — decompose reviewer work into separately checkable parts before granting reviewer-level authority
- A search controller is tested by what it brings to stronger evaluation — provisional judgments route candidates to stronger checks; they are not acceptance claims
- Brainstorming: pairwise comparison and soft oracles — a staged plan for testing whether pairwise judges improve discrimination, stability, and calibration
Warrant and theory fit
- A claim's warrant does not determine its fit in a working theory — warrant and fit answer different questions; either can hold without the other
- System use provides evidence of theory fit, not independent warrant — live use tests integration and usefulness; factual, source, or scope evidence is still needed for warrant
- System use is an initial selection environment when theory fit lacks a fixed oracle — distributed consequences of use can select claims where no fixed oracle exists
- Disconnected witnesses do not establish a causal path through theory — evidence of learning through theory must join one causal path
- Mixed epistemic status must be preserved below the document level — observations, deductions, and plausible explanations keep their separate warrant inside one document
Experiment and benchmark design
- An experiment identifies only the contrast it actually runs — missing comparisons and bundle-to-component attribution overstate causal conclusions
- A retained-theory intervention isolates one surface — intervening on retained theory estimates that surface's contribution, not whole-program theory possession
- A benchmark that holds the client fixed exports the least-warrantable decisions — fixed-client benchmarks measure worker capability and leave closure untested
- Prompt ablation converts human insight into deployable framing — controlled variation against a human-verified finding picks the framing agents can execute
- Systematic prompt variation serves verification and diagnosis — varying prompts decorrelates checks or measures brittleness; it does not test explanatory-reach
- Ablation baselines for the declared objective — proposal: matched repository tasks with curated theory, review, or episodes removed
- Trajectory-aware evaluation of transforming agent workflows — proposal: compare blinded output-only and trajectory-aware judges before adding trajectory checks
Review evidence
- Full improvement pass closure — how the shipped workflow reassays final note bytes and stops without claiming convergence
- A five-link cap missed four grounding findings in twelve reviews — paired assay: fuller reading of linked artifacts surfaced findings the cap hid
- An independent pass tightened three of four Pirolli grounding verdicts — separating source reconstruction from claim judgment changed verdicts; a candidate control, not a proven cause
- Single-artifact review bundles still cut Claude costs substantially — cache-weighted telemetry for the single-artifact bundle refactor
- Three simplification passes exposed different clarity–precision tradeoffs — broad style guidance, a compact cue, and exhaustive local review compared on one article
Related Tags
- llm-reliability — why LLM output deviates and the correction machinery; oracle hardening sits on the boundary and many notes carry both tags
- review-system — the shipped assay pipeline whose gates, verdicts, and runs several evidence records here measure
- claims-and-grounding — whether a claim is supported by its sources; the grounding-verdict evidence records belong to both
- learning-theory — the parent area for how systems learn; warrant and fit notes feed it
- self-improving-systems — improvement loops need oracles and evidence of improvement; warranted autonomy and theory-fit notes are shared
Other tagged notes
- A better-factory claim compares operative states under an antecedent assessment relation - The improvement claim's relata are predecessor and operative-successor states and its relation is declared before the development it judges; evaluator location is a separate declaration from the learner boundary
- A checked outcome licenses retaining an episode, not abstracting its explanation - One result-only check can warrant retaining an episode as evidence, but abstracting its explanation also needs evidence about a faithful producing process and an explicit scope boundary
- A claim without external assessment carries three obligations - Without external assessment a claim needs its own contradiction-and-support rule, a comparison level for objective change, and a performance measure it does not grade itself, plus attribution when it asserts a cause
- A context-operation interface bounds the projections its policy can realize - Explains why improving context selection within a fixed operation interface cannot establish that the interface admits every useful active-context projection.
- A guard against a conjectured requirement removes the experiment that would test it - A guard against an unstated requirement holds the condition at the value where the conjecture and its negation agree, so it immunizes the conjecture; explains why test-selected agents guard by default and when omitting is the cheaper experiment
- A linked note discharges its own grounding, so a citing note owes representation, not re-grounding - A cited source imposes a grounding obligation; a claim-titled note that already passed its own grounding review imposes only a representation obligation — with the preconditions that keep the distinction and why it is not a paraphrase ledger
- A note is an atomic step relative to the check that reads it - Two independent bounds on a note: one claim sized to the reader's bounded context, and one checkable inference sized to the checker's single pass — for the grounding check the unit is the unquoted source
- A proximate target is checked for achievement, not for warrant - Between an improvement objective and its oracles sits a target level — a property pursued because it is held to serve the objective — whose linking claim no check in the loop evaluates
- A quotes-route rollout grounded more claim uses without earning claim identifiers - A Commonplace grounding rollout recorded 30% grounded claim uses under a paraphrased claims ledger and 75% under verbatim quotes or pinned snapshots, with no case needing claim identifiers; the non-random cohorts make the gap descriptive
- A vibe-noting trace shows persistence enables revision, not certification - Evidence from one Commonplace note history: persistence enabled later semantic development while review exposed omitted risks, attribution drift, a link error, and an unresolved authority boundary
- Academic Research Skills - Academic Research Skills as a prompt-defined Claude Code research pipeline with narrow executable checks, host-dependent orchestration, protocol-only resume, and conflicting terminal gate rules
- Activate Behavior-Changing Memory Before The Mistake - Behavior-changing memory must activate before relevant actions rather than waiting for explicit retrospective search
- AI Agents in Depth - Whole-book comparison of AI Agents in Depth with Commonplace, separating broad architectural convergence from differences in memory admission, epistemic warrant, governance, and orchestration
- An accepted edit verifies the change, not the rule - Human acceptance of an edit is a strong oracle for 'this change was wanted here' but a weak oracle for 'this generalizes' — mining rules from accepted edits inherits instance-level verification while the generalization step stays oracle-poor
- An adversarial human-agent loop can reconstruct the writing-is-thinking filter - The writing-is-thinking filter is the loop's, not the pen's — an adversarial human-agent loop can reconstruct what naive delegation loses, but only while the human stays the judge
- Automated synthesis is missing good oracles - Generating synthesis candidates (cross-note connections, novel combinations) is easy — LLMs do it readily. The hard part is evaluating whether a candidate is genuine insight or noise.
- Automated tests for text - Text artifacts can be tested with the same pyramid as software — deterministic checks, LLM rubrics, corpus compatibility — built from real failures not taxonomy
- Brainstorming: maintainability oracles for agentic development - Explores candidate signals, calibration experiments, authority levels, and workflow placements for evaluating maintainability in agent-generated code
- Candidacy evidence licenses escalation to assessment, not acceptance - Separates candidacy evidence, which routes a hypothesis to costly assessment, from verdict evidence, which decides it; pricing and source-grounding cases provide two worked witnesses
- Causal and proof obligations are two formal routes to assessing explanatory-reach - Causal and proof obligations demonstrate two ways formal symbolic systems can assess explanatory-reach inside a warranted model
- Cheap generation breaks text volume as an effort signal - When text is cheap to expand but costly to verify, length stops evidencing author effort and can instead warn that the reviewer inherits unperformed checking
- Competing causal theories can guide distinguishing experiments - Why observationally equivalent mechanisms can tell a theory builder what to test next: a noisy binary example separates evidence acquisition from choosing or verifying an explanation.
- Compounding is tested in later improvement, not by the accepting metric - Compounding evidence must come from later improvement episodes through displaced productivity measures and causal traces, not from the metric that accepted the earlier change
- Cost-per-yield records for routine controllers - Proposal: give each routine search controller a record of what it brought to stronger evaluation and what it cost, stating the context regime it ran in, so that controllers in unattended pipelines can be compared on cost as well as yield
- Elicitation requires maintained question-generation systems - Four elicitation strategies ordered by user expertise required, composable into review architectures with maintenance loops that prevent ossification
- Evaluate Memory By Effects, Not By Existence - Memory should be evaluated by downstream effects on tasks, artifacts, answers, behavior, context efficiency, and lineage alignment
- Exact implementation does not validate a requirement against its objective - An artifact can exactly implement a requirement while the requirement remains a conjectured proxy for a declared objective; assess each named path separately, and attribute failure to the link without erasing local correctness
- False-positive generation is filtered; false-positive acceptance becomes operative - False-positive generation faces evaluation before retention, while false-positive acceptance becomes operative and can compound
- Feedback-trained memory management is oracle-dependent even when its operations are hand-designed - Fixed and merely runtime-responsive memory rules need no training oracle; outcome-driven updates do, while noisy rankings weaken learning and misaligned ones teach the wrong ordering
- Full write briefs cut edit drift; one-line briefs did not - Pre-registered pilot, 95 edit runs on 10 KB documents: a full retained write brief cut dropped commission items by about two thirds, a brief rebuilt from the commissioned document did nearly as well, and a one-line brief matched no brief
- Generation confidence does not by itself certify soundness - Distinguishes next-token probability from factual truth and inferential validity: confidence can support correctness decisions only after task-specific validation, and high-assurance acceptance still needs a separate check
- Knowledge storage does not imply contextual activation - Separates knowledge that exists, knowledge loaded into context (read-back), and knowledge that actually changes behavior (activation); explains why retrieval and long context do not guarantee activation
- Knowledge-access architecture must be evaluated end to end, not by retrieval alone - Explains why retrieval measures and storage-substrate labels cannot proxy for task-relative quality across discovery, loading, transformation, activation, and upkeep
- Known-target discovery benchmarks show reachability, not discovery closure - Distinguishes backcast and reinvention benchmarks from autonomous discovery: they show that target insights are reachable from supplied ingredients, not that a system can select and verify new discoveries prospectively.
- Learning inside a fixed decomposition inherits its mistakes - Why optimization cannot repair consequential distinctions, responses, or mappings outside the effective update space of a fixed task decomposition
- LLM output deviation requires three-way diagnosis because remedies target different relations - For a fixed assembled input, whether V exceeds I, whether D escapes V, and how D's spread affects realization are three diagnostic questions with different primary repair surfaces
- Memory-backed personalization can look like model improvement - Distinguishes user-specific gains supplied by retained intent from gains in the model that interprets the assembled context.
- Open-ended improvement must allocate search before decisive evaluation is available - Open-ended improvement must choose which questions, candidates, experiments, or proof paths to develop before decisive evidence about them is available; even a Gödel machine's proof gate retains this prior search problem
- Oracle accumulation improves selection for later candidates in its maintained domain - A failure retained as a lesson helps tasks that retrieve it; retained as a maintained check it improves selection for later candidates in its domain and amortizes validation
- Oracle strength spectrum - Exploratory framework — oracle strength, how cheaply correctness can be verified, as the gradient underlying the exact-spec/proxy-theory distinction, with an oracle-hardening pipeline
- Process structure and output structure are independent levers - Distinguishes constraints on reasoning steps from constraints on result shape and identifies the evidence needed to separate their effects
- Psychology-to-agent transfer needs per-principle failure-mode testing - Brainstorming a methodology for evaluating cognitive-science-to-agent transfer — assembled from three existing KB notes and tested against Youssef's five psychology principles as worked examples
- Quality signals for KB evaluation - Catalogues graph-topology, content-proxy, and LLM-hybrid signals that could be combined into a weak composite oracle to drive a mutation-based KB learning loop without requiring usage data.
- Reach-assessment - Definition — judging whether a commitment's claimed explanatory-reach is genuine across natural-language, symbolic, and distributed-parametric forms
- Reasoning limits may select for design commitments - Conjecture about structural differences between correct human and model implementations: reasoning needs may introduce commitments whose value appears during later changes.
- Reliability dimensions map to oracle-hardening stages - The four reliability dimensions from Rabanser et al. (consistency, robustness, predictability, safety) each harden a different oracle question — mapping empirical agent evaluation onto the oracle-strength spectrum
- Revision guided by rationale needs faithfulness, not just legibility - When revision of an addressable theory relies on rationale to locate a failed premise, misleading rationale can direct repair to the wrong part; rationale is one optional repair aid
- Selecting an LLM output fixes a result, not its interpretation - Selecting one LLM output for operative reuse creates a stable artifact-testing target without resolving ambiguity inside the text, so generator and artifact tests answer different questions
- Structured-prompt gains do not establish training-distribution selection - Formatting compliance, extra computation, and task decomposition can mimic distribution-selection gains, so prompt performance alone cannot identify the mechanism
- Task families and product families classify different things - Task families group obligations or evaluations; software product families group products through declared commonality, variability, and reusable production scope
- Technical constraints turn KB objective-function choice from philosophy into engineering - Three technical constraints and the codification lever make KB objective-function choice testable engineering, not philosophy; goals set the loss, local contracts specialize it, and oracle strength differs by objective
- The augmentation-automation boundary is discrimination not accuracy - Crossing from augmentation to automation requires per-instance discrimination, not aggregate accuracy — discrimination is empirically stagnant, so scaling capability alone cannot cross the boundary
- The boundary of automation is the boundary of verification - Synthesis — oracle theory, labor economics, frontier-lab capability predictions, and supply-chain integrity evidence converge on verification cost as the primary structural determinant of automation
- The verifiability gradient - Compare verification by the requirement checked, reset conditions, retry cost and strength of feedback; prompts and code have no automatic ordering on these dimensions
- Theory warrant should be tracked at the finest granularity evidence licenses - Treat support for a theory as warrant for only the most specific claim, conjunction, model, and scope the evidence identifies; do not distribute joint warrant beyond what it entails without additional attribution
- Two rewrites exposed a syntax-or-repetition tradeoff - Evidence from two ASD-STE100-inspired passes over one note: unguarded sentence splitting lost semantic relations, while guarded splitting preserved them by adding 4.9% more words
- Universal software factory needs a declared universality axis - Universal software factory is ambiguous unless the universality axis, covered class, supplied inputs, adequacy relation, and resource bounds are declared
- Use tests a decomposition locally; retained rationale is what makes transfer testable - Running a decomposition confirms only that it sufficed here; because many force-sets fit the same split, rationale retained at design time is what gives a transfer claim an antecedent to test
- Warranted transfer out of the human cut leaves people the hardest-to-warrant decisions - When a system preferentially transfers decisions whose premises, criteria, and checks are available, the remaining human decisions become harder to warrant per decision; this predicts a residue composition, not structural computational openness