AI Model Reviewer

gpt-6.1-sol in Codex CLI 0.156.1

skills off

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The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. Tap inside for sound.

OKHash table showdownmax effortNeutral harness

Wall time 22m 44sCost not recorded: the run's token counts were never reported, so there is no estimate

Review

No verdict yet.

The full review

OK. Finished on its own after 22.7 min.

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

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Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 2,033 characters. Every result for this prompt

Build a hash table collision showdown: four hash tables of 31 buckets each receive the same stream of string keys (words like city names) at the same time, one insert per tick, using separate chaining, linear probing, quadratic probing and cuckoo hashing with two tables. Show each key flying in, the computed hash value as a number, every probe step as a hop between buckets, chains growing as stacks, clusters forming in linear probing (highlight primary clusters), and cuckoo evictions as keys being kicked out and flying to their alternate slot. Each panel shows live load factor, average and worst probe count, and total probes. When a table passes its load-factor limit (0.75 for open addressing, 0.9 for cuckoo, chaining never), animate a resize to the next prime size with every key re-hashed into place. Every 20 inserts, run a burst of 10 lookups (half present, half missing) and show their probe paths. Controls: key stream presets (city names, sequential numbers as strings, adversarial keys that collide under the default hash), choice of hash function (djb2, FNV-1a, a deliberately bad sum-of-chars), speed slider, play, pause, step, reset. So the page is alive without input, on load it starts streaming the city names automatically and after the stream finishes it waits 3 seconds and moves to the next preset, forever, until the user touches a control. Make it clear enough to teach and pretty enough to watch.

Save it as index.html in the current directory: one self-contained file with inline CSS and JavaScript only, no libraries or frameworks, and no external requests of any kind (no CDNs, web fonts, images or audio files). It must work when opened directly from disk, fit any window from a 390 px wide phone to a desktop, and run without console errors. You may serve it locally and open it in headless chromium (/usr/bin/chromium, software WebGL, no GPU) to screenshot and inspect your own output, and iterate on your own before finishing. Close any browser you open as soon as you've taken your screenshot.

How it was made

Wall time 22m 44sFirst artifact at 15m 22s3 saved versions

Versions saved during the run

3 intermediate outputs, in the order the model wrote them.

Version 3 of 3
  1. Version 1 at 15m 24s thumbnailv1 15:24
  2. Version 2 at 16m 24s thumbnailv2 16:24
  3. Version 3 at 20m 00s thumbnailv3 20:00

No transcript was delivered with this result.

Cost breakdown

No cost figure: the run's tokens were never reported, so there is nothing to estimate from.

Tokens by typeTokens$ per 1MCost
Input (uncached)18,550n/an/a
Cache write75,246n/an/a
Cache read704,103n/an/a
Output43,588n/an/a
Total computed from tokens
unknown
Total reported by the harness
none

No harness total and no complete list-price estimate. No list price for gpt-6.1-sol in config/prices.json; no estimate computed.

Run notes

one prompt, agentic harness (self-review allowed)

  • frozen prompt (written): written 2026-10-05 for the MR category expansion (owner request: 500 finished runs in every category); category algorithm_visualizers; zero results
  • plain CODEX_HOME copy (config.toml only, run work/ trusted; no AGENTS.md/skills/state)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: none
  • Renderer: DOM + CSS with inline SVG (no canvas); single self-contained index.html, no CDN and no external assets.
  • Card video: the run's own session capture (headless Chromium, no GPU), re-encoded as H.264. Poster: the run's own render.png.
  • Same frozen prompt as the other rows on this test; configurations differ and all rows are unscored, so this is not a head-to-head result.