今日（12月26日）有色金属板块领涨两市，全天获主力资金净流入147亿元，板块吸金额高居31个申万 一级行业首位！热门ETF方面，揽尽有色金属行业龙头的有色ETF华宝（159876）场内涨幅一度猛拉 4.19%，最终收涨3.77%，收盘涨幅高居全市场ETF涨幅榜第七，继续刷新上市以来的高点！ 值得关注的是，有色ETF华宝（159876）此前连续两日吸金，合计金额5611万元，反映资金看好有色金 属板块后市表现，积极进场布局！ 成份股方面，永兴材料、国城矿业、江西铜业涨停，中矿资源、中国铝业涨逾8%，云南铜业、铜陵有 色等个股大幅跟涨。此外，权重股紫金矿业、洛阳钼业双双刷新历史高点。 图：有色ETF华宝标的指数涨幅前十大成份股 | 审号 | 名称 | 脳失幅 ▼ | 明日盟 | 申万一级行业 | 申万二级行业 | 申万三级行业 | 总市值 | 成交額 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 国城矿业 | 10.01% | | 有色合属 | 工业金属 | 铝锌 | 345亿 | 11.98亿 | | 2 | 求兴材料 | 10 ...

Group 1: OpenAI and Mistral AI Developments - OpenAI released the inference model o3-pro, which is marketed as having the strongest reasoning ability but the slowest speed, with input pricing at $20 per million tokens and output at $80 per million tokens [1] - User tests indicate that o3-pro excels in complex reasoning tasks and environmental awareness but is not suitable for simple problems due to its slow inference speed, targeting professional users [1] - Mistral AI launched the strong inference model Magistral, which includes an enterprise version Medium and an open-source version Small (24B parameters), showing excellent performance in multiple tests [2] - Magistral achieves a token throughput that is 10 times faster than competitors, with a pricing strategy of $2 per million tokens for input and $5 per million tokens for output [2] Group 2: Figma and Krea AI Innovations - Figma introduced the official MCP service, allowing direct import of design file variables, components, and layouts into IDEs, achieving a higher fidelity than third-party MCPs [3] - Krea AI launched its first native model Krea 1, focusing on solving issues of AI image "homogenization" and "plasticity," providing high aesthetic control and professional-grade output [4][5] - Krea 1 supports style reference and custom training, with native support for 1.5K resolution expandable to 4K, aimed at accelerating digital art creation processes [5] Group 3: ByteDance and Tolan AI Applications - ByteDance released the Doubao large model 1.6 series, which includes multiple versions supporting 256k context and multimodal reasoning, with a 63% reduction in comprehensive costs [6] - Tolan, an alien AI companion application, has achieved 5 million downloads and $4 million ARR, emphasizing a non-romantic, non-tool-like companionship experience [7] - Tolan's design integrates companionship with gamification, allowing users to customize their alien companion's appearance and develop unique planetary environments [7] Group 4: Li Auto and Figure Robotics Strategy - Li Auto established two new departments, "Space Robotics" and "Wearable Robotics," to enhance its AI strategy, focusing on creating a smart in-car experience [8] - Figure aims to provide a complete "labor force" system with humanoid robots, emphasizing fully autonomous operation and a production line capable of producing 12,000 units annually [9] - Figure plans to deliver 100,000 units over the next four years, targeting both commercial and home markets, while utilizing a shared neural network for collective learning [9] Group 5: Altman's Predictions and OpenAI Codex Insights - Altman predicts that by 2025, AI will be capable of cognitive work, with significant productivity boosts expected by 2030 as AI becomes more affordable [10] - OpenAI Codex is shifting software development from synchronous "pair programming" to asynchronous "task delegation," anticipating a transformation in developer roles by 2025 [11] - The team envisions a future where the interaction interface merges synchronous and asynchronous experiences, potentially evolving into a "TikTok"-like information flow for developers [11]