Market A asks whether Baidu will have the best AI model by the end of May 2026, while Market B poses the parallel question for Amazon. Both are betting on whether each company will achieve undisputed leadership in the AI-model landscape within a narrow timeframe—roughly two weeks from now. These outcomes are not mutually exclusive in technical terms; an objective evaluator could rank models across reasoning capability, coding performance, multimodal handling, and inference speed. However, in practice, "best" is contested across the industry. Researchers, enterprises, and end users rarely converge on a single leader across all dimensions simultaneously. The markets implicitly ask traders which company, if any, will achieve enough dominance to claim the crown by May 31st. Both markets trade at 0% YES probability, a striking mirror image that reveals deep skepticism about either company dominating in such a compressed timeframe. This twin-zero outcome suggests that even if one releases a state-of-the-art model in coming weeks, the notion of "best" is too contested—or the integration and deployment lag too steep—for clear victory by month's end. The absence of price differentiation (Baidu 0%, Amazon 0%) implies traders view both outcomes as equally unlikely. Amazon's deeper pockets and tighter enterprise infrastructure could theoretically provide marginal advantage if breakthrough timing aligns, yet the market remains unswayed. This suggests consensus that definition disputes and deployment timelines will prevent either outcome from resolving YES. These markets are correlated: a major AI breakthrough by any global player could cascade through both. However, they could diverge sharply depending on execution and market positioning. Baidu operates in a Chinese regulatory and market context optimized for domestic adoption and government alignment; if it releases a model tailored to Chinese enterprise use cases, traders might vote YES on Baidu while leaving Amazon flat. Conversely, Amazon could leverage AWS cloud infrastructure and enterprise relationships to rapidly adopt and productize an exceptional model from a partner, achieving "best" through distribution and integration rather than pure research. Neither scenario requires the other to fail. Watch for: (1) Model releases from Baidu's Ernie family, Amazon's internal R&D, and partnerships like Amazon+Anthropic. (2) New LLM leaderboards; if one company's model dominates established benchmarks (MMLU, coding, reasoning) by late May, repricing may follow. (3) Enterprise adoption speed; can Amazon integrate a new model into SageMaker or Bedrock fast enough to claim practical leadership? (4) Resolution criteria clarity; the market creator's definition of "best" matters enormously. Ambiguity in resolution rules likely explains the 0% valuations. Monitor these signals as May progresses.