Research Lab
4大模型翻译对决：第45周质量评测，gpt-o3 以 8.7 分领跑
本周共翻译 382 篇文章，覆盖 4 个AI模型。经抽样盲评，gpt-o3 综合得分最高（8.7/10）。报告详细对比各模型在准确性、流畅性、术语一致性方面的表现差异。
Winzheng Research Lab
Decoding Intelligence, Defining Value.
解码智能，定义价值
Research Lab
WDCD Run #406: Gemini 3.1 Pro Leads with Negative Decay as 15-Model Average Drops 9.3%
WDCD Run #406 (2026-11-01) measured instruction decay across 15 frontier AI models over three dialogue rounds, with Gemini 3.1 Pro leading at 91 points and the only top-tier model exhibiting negative decay (-63%), indicating strengthened constraint adherence under pressure.
Research Lab
WDCD Run #400: Zero Instruction Decay Across All 15 Models as GLM-4.6 Leads at 96.2 Points
WDCD Run #400 (2026-10-28) recorded 0% average commitment decay across all 15 tested models, with GLM-4.6 topping the leaderboard at 96.2 points, followed by Gemini 3.1 Pro and GPT-o3.
Research Lab
5大模型翻译对决：第44周质量评测，deepseek-v4-pro 以 8.7 分领跑
本周共翻译 400 篇文章，覆盖 5 个AI模型。经抽样盲评，deepseek-v4-pro 综合得分最高（8.7/10）。报告详细对比各模型在准确性、流畅性、术语一致性方面的表现差异。
Research Lab
WDCD Run #390: Average Instruction Decay Hits -60% Across 15 Models, GPT-6 Luna Leads with Perfect Score
WDCD Run #390 (2026-10-21) tested 15 AI models on multi-turn commitment integrity, recording an average instruction decay of -60% from Round 1 to Round 3. GPT-6 Luna topped the leaderboard with a perfect 100 points.
Research Lab
4大模型翻译对决：第43周质量评测，gpt-o3 以 8.7 分领跑
本周共翻译 402 篇文章，覆盖 4 个AI模型。经抽样盲评，gpt-o3 综合得分最高（8.7/10）。报告详细对比各模型在准确性、流畅性、术语一致性方面的表现差异。
Research Lab
WDCD Run #384: Grok 4 Leads with 92 Points as Average Instruction Decay Hits -6.4%
WDCD Run #384 (2026-10-18) evaluated 15 frontier models on multi-turn commitment integrity, with Grok 4 taking the top score (92 pts) and an average instruction decay of -6.4% from Round 1 to Round 3 across the field.
Research Lab
WDCD Run #379: GLM-4.6 Leads with Perfect Score as Average Instruction Decay Hits -53.3%
WDCD Run #379 (2026-10-14) tested 15 models for multi-turn commitment integrity, recording an average instruction decay of -53.3% from Round 1 to Round 3. GLM-4.6 topped the leaderboard with a perfect 100-point score.
Research Lab
4大模型翻译对决：第42周质量评测，gpt-o3 以 8.7 分领跑
本周共翻译 376 篇文章，覆盖 4 个AI模型。经抽样盲评，gpt-o3 综合得分最高（8.7/10）。报告详细对比各模型在准确性、流畅性、术语一致性方面的表现差异。
Research Lab
WDCD Run #365: Average Instruction Decay Hits -53.3%, GLM-4.6 Leads 15-Model Field
WDCD Run #365 (2026-10-07) measured multi-turn commitment across 15 AI models and recorded an average instruction decay of -53.3% from Round 1 to Round 3, with GLM-4.6 taking the top score at 95.2 points.
Research Lab
5大模型翻译对决：第41周质量评测，deepseek-v4-pro 以 8.7 分领跑
本周共翻译 476 篇文章，覆盖 5 个AI模型。经抽样盲评，deepseek-v4-pro 综合得分最高（8.7/10）。报告详细对比各模型在准确性、流畅性、术语一致性方面的表现差异。
Research Lab
WDCD Run #360: Grok 4 Leads at 95.7 Points Despite 38% Instruction Decay Across 15 Models
WDCD Run #360 (2026-10-04) evaluated 15 AI models on multi-turn commitment integrity, with Grok 4 topping the leaderboard at 95.7 points while the cohort averaged just 0.5% commitment decay from Round 1 to Round 3.