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Hangar Harness / Model Tests

▲ 126 points • 74 comments • by alvins82 • 2mo ago • HN discussion ↗

Pangram verdict · v3.3

We believe that this entire text is AI.

74 %

AI likelihood · overall

AI
0% human-written 100% AI-generated
SEGMENTS · HUMAN 0 of 1
SEGMENTS · AI 1 of 1
WORD COUNT 197
PEAK AI % 74% · §1
Analyzed
Sep 8
backend: pangram/v3.3
Segments scanned
1 windows
avg 197 words each
Distribution
0 / 100%
human / AI fraction
Verdict
AI
Pangram v3.3

Article text · 197 words · 1 segments analyzed

Human AI-generated
§1 AI · 74%

I've been testing a simple prompt with different model and harness combinations to work out which one produces best results. I do this in /goal mode. Prompt: Build a single-page Three.js sci-fi hangar with hovering drones, animated warning lights, emissive runway strips, and subtle volumetric-style fog planes. Include drone formation toggle and cinematic camera path. Output one self-contained HTML file with inline JavaScript. GLM 5.3 Flash Max Codex Open 9m 0.232s 9.344s 457,685 17,458 7,694 475,143 85.26% 14 1 Blocked No Luna 5.6 MaxCodexOpen9m 13.098s6.199s1,146,75525,5126,8791,172,26792.76%322YesYes SOL 5.6 MaxCodexOpen10m 48.765s8.460s1,069,16328,2787,5151,097,44194.60%215NoNo Astra 6.0 MaxCodexOpen37m 29.705s3.589s1,292,36643,12915,2711,335,49594.93%205YesNo GLM 5.3 Flash MaxOMPOpen30m 14.979s6.596s1,678,50963,405—1,741,91478.54%570YesYes Qwen 3.8 27B x-highOMPOpen41m 25.836s15.275s3,407,45171,93549,1313,479,38686.92%890YesYes GLM 5.3 Flash MaxOpenCodeOpen20m 28.948s6.284s4,305,44750,46833,4144,355,91596.89%670YesYes Qwen 3.8 27B x-highOpenCodeOpen8m 48.470s10.182s665,49041,81728,788707,30795.64%130YesYes Qwen 3.8 27B x-highDSH / PTCOpen24m 32.929s7.724s1,012,49989,894—1,102,39391.69%235YesYes Qwen 3.8 27B x-highDSHOpen18m 15.239s6.755s2,654,45778,232—2,732,68995.48%422NoNo All GLM runs are labelled GLM 5.3 Flash Max; input tokens include cached input. Output tokens are the generated total, including reasoning; when a harness reports reasoning separately, the reasoning column shows that subset. The DSH adapter does not report a separate reasoning count. DSH durations sum active turn time across both turns, excluding the pause between turns. Tool errors are recorded failed tool events. A dash means unavailable or not reported.