WDCD Run #161 (2026-06-11) evaluated 11 large language models on multi-turn commitment integrity, recording an average instruction decay of -48.6% from Round 1 to Round 3. GPT-5.5 led the ranking with 89.2 points, while Doubao Pro showed the strongest decay resistance.
The most brutal finding from the WDCD three-round test: models achieved near-perfect scores in R1 and R2, but after direct pressure in R3, the average commitment rate dropped to just 70.4%, with 66 instances hitting zero. The decay is not linear but cliff-like, exposing models' failure to uphold constraints under direct conflict of interest.
The first WDCD Compliance Test results are out: GPT-5.5 leads with 89.17 points, while GPT-o3 scores only 70.83 points at the bottom—a gap of over 18 points that directly dispels the myth that "older models are more stable."
Visa and OpenAI have officially announced a partnership to introduce secure payment features for ChatGPT users, enabling payments for subscriptions and API calls. This product launch is seen as a significant milestone in AI commercialization.
NVIDIA and Hyundai Motor Group have announced a deepened partnership focusing on AI robots, mobility, and smart manufacturing, aiming to boost production efficiency by over 20% through advanced robotics and digital twin technologies.
McDonald's has piloted a Google AI drive-thru ordering system in select U.S. locations, leveraging the Gemini model. Meanwhile, Apple's Siri will integrate Gemini, accelerating consumer AI adoption.
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A national poll by Reuters and Ipsos shows nearly half of Americans worry that AI could lead to family member unemployment, highlighting tensions between technological change and the labor market.
Moonshot AI, the parent company of Kimi smart assistant, has initiated a new funding round targeting $2 billion with a post-investment valuation of 30 billion RMB, marking a capital-intensive phase for Chinese generative AI companies.
Amazon recently secured a $17.5 billion loan to fuel its AI capital expenditures, sparking industry-wide attention. Meanwhile, Morgan Stanley predicts that global AI-related debt will surpass $500 billion by 2026, as tech giants ramp up their high-debt expansion in the AI race.
A controversial paper recently released by Apple has stirred debate over AI reasoning abilities, revealing that even the most advanced models exhibit a drastic performance drop when faced with complex puzzles, suggesting they rely on statistical patterns in training data rather than step-by-step logical reasoning.
Google DeepMind has officially released and open-sourced DiffusionGemma, a text diffusion model that marks a major leap from autoregressive to diffusion-based text generation. The model achieves significant breakthroughs in parallel generation, with inference speeds up to four times faster than traditional methods, and has received hardware-level support from NVIDIA.
Anthropic has officially launched two new AI models, Mythos and Fable 5, alongside a safety framework called the Advanced AI Framework, which highlights the risk of frontier AI losing control and calls for stronger global government oversight.
In today's Smoke lightweight review of 11 models, there was a rare "perfect score wave" in code execution. The top 9 models all scored 100 in execution, leaving the ranking entirely determined by grounding. Claude Sonnet 4.6 ultimately topped with a total score of 97.98, with a grounding score of 95.5.
WDCD Run #157 (2026-06-10) recorded a 47.7% average commitment decay across 11 models, with Claude Sonnet 4.6, Gemini 2.5 Pro, and Qwen3 Max tying for first at 67.5 points.
In the latest WDCD cycle compared to Run #146, five mainstream models experienced significant declines, with a maximum drop of 12.5 points, while only Qwen3 Max achieved a positive gain of 7.5 points. This reflects a one-sided recession pattern in compliance performance.
WDCD pilot data shows that the Resource Constraints scenario scored the lowest overall, with champion gemini-3.1-pro only getting 2.5 points and doubao-pro at the bottom with 1 point; the Business Rules scenario became the biggest differentiator, with gemini-2.5-pro and gpt-o3 both scoring a full 4 points, while claude-opus-4.7 scored only 2 points.
The WDCD test's most striking finding is that while models perform well in R1 and R2 stages, their overall integrity rate drops to 24.5% once R3 direct pressure is applied, with 72 total crashes. This reveals that most models only superficially adhere to rules, and their constraints instantly fail when real pressure hits.
The first results of the WDCD Compliance Test are out, with three models tied for first at 67.50 points, while Grok 4 and Wenxin Yiyan 4.5 tied for last at 50 points. In the R3 stage, 65.5% of models collapsed.
Smoke's quick test today directly concludes that code execution has become the passing line, while material constraints are the true dividing line. Claude Sonnet 4.6 tops the leaderboard with 97.53 points, followed by Opus 4.7 and Grok 4.
