Decoding Intelligence, Defining Value.
Decoding Intelligence, Defining Value
WDCD Run #271 (2026-08-09) tested 11 models across three rounds of multi-turn commitment scoring, recording an average instruction decay of just 0.9% and placing Grok 4 at the top with 91 points.
WDCD Run #263 (2026-08-05) evaluated 11 models across three dialogue rounds, recording an average commitment decay of -18.2%. Grok 4 topped the leaderboard at 97.5 points, while DeepSeek V4 Pro demonstrated the strongest decay resistance.
This week, 423 translation tasks were completed by three models. In a sampled blind comparison of two articles, deepseek-v4-pro ranked highest overall with an average score of 9/10.
WDCD Run #253 (2026-07-29) tested 11 models across three dialogue rounds, recording an average commitment decay of 4.5%. Grok 4 topped the ranking at 94.8 points, while GPT-5.5 registered the worst instruction decay at -100%.
This week, 381 translation tasks were completed by 3 models. A sample of 3 was selected for blind evaluation, with gpt-o3 scoring the highest average of 8.3/10.
WDCD Run #247 (2026-07-26) evaluated 11 models across three dialogue rounds, recording an average commitment decay of -1.8%. Grok 4 led the field at 94.2 points with a -63% decay figure, indicating strengthened rather than weakened adherence over the session.
WDCD Run #242 (2026-07-22) evaluated 11 models across three-round multi-turn dialogues, recording an average commitment decay of 18.2% between Round 1 and Round 3. Grok 4 and GLM-4.6 held perfect decay resistance, while Gemini 3.1 Pro collapsed at -100%.
This week, <strong>368</strong> translation tasks were completed by <strong>4</strong> models. A sample of <strong>3</strong> articles was used for multi-model blind evaluation comparison, with the overall best being <strong>claude-sonnet-4.6</strong> (average score 8.5/10).
WDCD Run #233 (2026-07-15) evaluated 11 frontier models on multi-turn commitment integrity, recording an average instruction decay of 27.3% between Round 1 and Round 3. GPT-o3 topped the leaderboard with 94 points and zero decay, while Gemini 3.1 Pro suffered a complete 100% collapse.
This week's 361 translation tasks were completed by 3 models. A sample of 3 tasks underwent multi-model blind evaluation, with the best overall being gpt-o3 (average score 9/10).
WDCD Run #227 (2026-07-12) evaluated 11 frontier models on multi-turn commitment integrity, with Grok 4 and DeepSeek V4 Pro tying at 91.4 points and average instruction decay measured at -2.8% between Round 1 and Round 3.
WDCD Run #221 (2026-07-08) measured instruction decay across 11 frontier models over three dialogue rounds, recording an average commitment decay of -36.4% from Round 1 to Round 3. Grok 4 topped the ranking with 95 points.
