聚焦AI技术与应用共振，这场论坛发布十大展望

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) focused on the intersection of AI technology and investment, highlighting breakthroughs and application trends in the AI sector [1] - Experts emphasized the importance of data as a key element in enhancing productivity in the AI era, particularly the transition from AI 1.0 to AI 2.0, where data is transformed into "Tokens" for training large models [1][2] - The discussion included the need for hardware and software optimization to meet varying Token/J requirements across different levels of intelligence [2] Group 1: AI Development Trends - The shift from language-dominated models to multi-modal models incorporating voice, image, and video is expected to enrich AI's perception and interaction with the world [2] - The concept of "Agents" has gained traction, with expectations of significant advancements in their capabilities due to improvements in foundational models [3] - The "Moore's Law for Agents" suggests that the complexity of tasks handled by AI will double approximately every seven months, indicating rapid advancements in AI capabilities [3] Group 2: Future Projections - In the next 12-24 months, a context window of 200 million Tokens is anticipated to become standard for top AI models [4] - The emergence of general video models is expected within the same timeframe, alongside the transition of Agents from "tool assistance" to "task undertaking" roles, introducing the first true "AI employees" in enterprises [4] - The AI chip sector is projected to see an increase in domestically produced GPUs, and the AI interaction paradigm is expected to accelerate [4] - The AI BPO (Business Process Outsourcing) model is anticipated to achieve commercial breakthroughs, shifting from "delivery tools" to "delivery results" with a pay-per-result approach in various standardized industries [4]