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I'll make qmux the default project, excerpt this landing-page iteration into a real session, and add an inline image item to the mock transcript renderer. The active replay will start with existing output and run long enough to visibly scroll.

The current transcript union only handles paragraphs and activity summaries. I'll add a typed image block, render the bundled qmux capture with fixed dimensions, and keep Porffor available as a collapsed secondary group.

The new qmux session is now the server-rendered default. Its first completed inspection is visible immediately, while later edits, checks, and the image arrive through the working-session replay.

The rendered document now contains fourteen terminal sessions, one inline transcript image, and an active qmux timeline. Completed sessions still bypass replay and show their full history immediately.

The capture is a bundled asset rather than a temporary clipboard path, so it remains visible in production and obeys the landing page's self-only image policy.

Everything is passing. The static capture remains embedded, and the interactive design reference now renders as a native attachment that opens in qmux's browser:

I'll read the string builtin and run only the 45-test replaceAll directory first, then reproduce the empty-search behavior through Porffor's native compiler.

The two failures are independent: the loop reuses the zero match length as its cursor increment, and the non-global RegExp guard runs too late. I'll split match width from advancement and move the RegExp check ahead of allocation.

All 45 replaceAll tests now pass, and the native Porffor smoke program prints the leading, interstitial, and trailing replacements. The change is confined to compiler/builtins/string.ts.

I'll trace the unaligned load case in the C renderer, then compile a DataView smoke program with Porffor so the emitted native path is exercised directly.

The renderer loads an unaligned signed value through its unsigned width, then casts back to the narrow signed type before C widens it. I'll verify that exact expression in emitted C and native output.

The emitted C contains the narrow signed cast, and the Porffor-compiled program reads -2 while the unsigned control remains 65534. No renderer change is needed.

I'll inspect the builtin's argument loop and run the single test262 abrupt-coercion case before adding a native Porffor smoke program that records coercion order.

The implementation calls ToNumber inside its left-to-right loop, so an abrupt completion should prevent later arguments from being observed. The focused conformance test confirms that path.

The native smoke program logs only the first and throwing arguments, then catches the sentinel error. No compiler change is needed; I recorded the verified behavior instead of manufacturing a patch.

I'll confirm the experiment rules and current baseline, then change only the Muon momentum schedule in train.py.

The baseline is 0.997900 val_bpb at 44.0 GB. I'll extend the ramp without changing batch size or the five-minute budget so the comparison stays attributable.

The candidate reaches 0.996841 at essentially unchanged memory, so it clears the keep rule. I've committed the change and recorded the measured result; I'm checking the results row before wrapping up.

I'll branch from the current kept result, add QK normalization in the attention block, and judge it only on the final validation bits per byte.

The implementation is small and the run is healthy, but the experiment still has to beat 0.996841. I'll let the fixed timer and validation finish before deciding.

It regressed to 0.999284 with no compensating memory benefit. I logged the discard, reset the branch to the prior kept commit, and left the untracked results log intact.

I'll treat the tab-separated log as the source of truth and check its shape before ranking results.

All rows have five fields. There are two kept candidates beyond baseline and three discarded runs; the best kept metric is 0.996841.

I added a short Markdown summary that separates measured results from hypotheses and links each entry back to its commit.

I'll read the hermetic tokenizer fixture and the conversation renderer, then add the smallest cases that distinguish supervised assistant tokens from unsupervised tool output.

The existing fixture trains a tiny Rust BPE in process, so the new assertions need no cached tokenizer or dataset. I'll extend that fixture rather than invoking the full tokenizer evaluation script.

All ten focused tests pass. The coverage now distinguishes assistant supervision from tool-output masking; I'm checking the broader tokenizer tests before wrapping up.

I'll inspect how the mixture builds and shuffles its index map, then run the small in-memory task tests without touching Hub data or GPU evaluation.

The implementation enumerates the configured task list into an index map and shuffles it with a local random.Random(42). Repeating a task intentionally duplicates its examples; a second mixture should produce the same order.

All seven task tests pass, including the deterministic second-instance comparison and repeated-task oversampling. The behavior is already covered, so no patch is warranted.

I'll use the standalone CUDA harness in dev/cuda/layernorm_backward.cu because it dispatches kernel 10 directly and compares every output with its CPU reference.

Kernel 10 vectorizes the input-gradient load and store while keeping the parameter-gradient reduction in its scratch buffer. I'll compile the harness exactly as documented at the top of the file.

Every tested block size matches for input, weight, and bias gradients. The harness then reports kernel timings, so this validates the edited code path rather than an unrelated production target.

I'll inspect the current movement pattern and test it at the UOp graph-rewrite layer. The old ShapeTracker layout is gone, so a regression should target mop_cleanup directly.

The matcher already replaces nested reshapes with one reshape over the original source. I'll add a focused test that asserts both the resulting op and source identity, without changing the rewrite itself.

The new regression passes, followed by the full 56-test schedule suite. This documents current cleanup behavior without adding speculative guards that the matcher does not have.

I'll use the existing Metal-only device tests, which exercise both source compilation failures and runtime rejection of a corrupted compiled library.

The compiler path raises CompileError from the Metal build service, while the corrupt-library path must make runtime construction fail. I'll keep those failure types distinct in the assertions.

All five Metal device tests pass, including OOM, compile failure, compile success, corrupt library rejection, and explicit buffer release.

I'll inventory the existing compiler notes and follow their heading and relative-link conventions before adding missing summaries.

The index covers parsing, code generation, and builtins but not the IR or rendering pages. I'll add one factual paragraph per missing page and keep implementation details in the leaf pages.

Every new index link resolves to a tracked Markdown file, and the diff contains only the compiler index plus the two missing summaries. I'm doing a final terminology pass now.

I'll find every existing use first so the glossary describes this wiki's terminology instead of importing generic compiler definitions.

The pages use IR and intermediate representation interchangeably, while runtime sometimes means the generated support code and sometimes the host process. I'll define both senses explicitly.

The glossary now owns the definitions, and the compiler overview links the first occurrence of each term without turning later prose into link noise.