Amazon(US:AMZN) 量子位·2025-08-07 09:02Core Viewpoint - The core viewpoint of the article emphasizes that the value of AI lies not in having the most powerful model, but in selecting the most suitable model for different scenarios, as articulated by Amazon Web Services (AWS) with its "Choice Matters" strategy [1][2]. Summary by Sections AI Model Strategy - AWS introduced the "Choice Matters" strategy, advocating for a collaborative approach where multiple models work together based on their strengths rather than a single dominant model [2][13]. - The launch of the Amazon Bedrock platform allows businesses to select models based on performance, cost, and task suitability, akin to choosing tools [2][21]. Cloud Services Insight - AWS's extensive service offerings include 429 computing services, 266 storage services, 513 database services, and 421 AI and machine learning services, reflecting a deep understanding of diverse business needs [3][4]. Market Validation - The strategy has been validated by market developments, including the recent collaboration with OpenAI, which allows access to open-source models via Amazon Bedrock and Amazon SageMaker [6][24]. - New models like gpt-oss-120b and gpt-oss-20b on Amazon Bedrock demonstrate impressive cost-performance ratios, outperforming competitors [8][24]. Model Collaboration - The article outlines two typical collaboration modes: "best match" for specific scenarios and "synergistic enhancement" for complex tasks, where multiple models can achieve greater outcomes together [14][15][16]. - Examples include using DeepSeek R1 and Claude for high-level translation queries and Nova Lite for initial translations in a complex translation system [16]. Ecosystem Development - AWS has become the largest AI model aggregation platform, offering over 400 mainstream commercial and open-source models, with partnerships including Anthropic, Google, and Meta [22][23]. - The rapid development of the Amazon Bedrock ecosystem is highlighted by the addition of various models from top AI companies, enhancing the platform's capabilities [23]. Shift in AI Demand - The demand for AI models has shifted from seeking the "strongest" model to finding the "most suitable" one, driven by performance-cost balance, task complexity, and customization needs [24]. - Companies like Nomura Securities and Doordash are choosing models based on their specific requirements, illustrating this trend [24]. Future of AI - The intersection of AI and business is expected to fundamentally reshape work processes, with significant job transformations anticipated in the coming decade [26].