【导读】存储芯片板块持续拉升，多股涨停 中国基金报记者 李智 一起来看下最新的市场情况及资讯。 1月21日早盘，A股三大指数震荡拉升，创业板指涨逾1%，截至发稿，沪指涨0.10%，深成指涨0.56%，创业板指涨1.10%。 | 上证指数 | 深证成指 | 北证50 | | | --- | --- | --- | --- | | 4117.97 | 14234.20 | 1530.03 | | | +4.32 +0.10% | +78.57 +0.56% +12.43 +0.82% | | | | 科创50 | 创业板指 | 万得全A | | | 1531.26 | 3313.96 | 6781.36 | | | +48.26 +3.25% | +35.98 +1.10% | +22.43 +0.33% | | | 沪深300 | 中证500 | 中证A500 | | | 4738.46 | 8277.21 | 5908.89 | | | +19.59 +0.42% | +29.41 +0.36% | +30.16 +0.51% | | | 中证1000 | 深证100 | 中证红利 | | | 8215.96 ...

| 上证指数 | 深证成指 | 北证50 | | | --- | --- | --- | --- | | 4117.97 | 14234.20 | 1530.03 | | | +4.32 +0.10% | +78.57 +0.56% +12.43 +0.82% | | | | 科创50 | 创业板指 | 万得全A | | | 1531.26 | 3313.96 | 6781.36 | | | +48.26 +3.25% | +35.98 +1.10% | +22.43 +0.33% | | | 沪深300 | 中证500 | 中证A500 | | | 4738.46 | 8277.21 | 5908.89 | | | +19.59 +0.42% | +29.41 +0.36% | +30.16 +0.51% | | | 中证1000 | 深证100 | 中证红利 | | | 8215.96 | 5927.95 | 5572.63 | | | +33.20 +0.41% | +37.15 +0.63% | -39.21 -0.70% | | | 万得全A涨跌分布 | | | | | 跌3022 | | | 涨2 ...

Core Insights - The company "月之暗面" announced the launch of its first Agent product, Kimi-Researcher, which is currently undergoing a small-scale gray testing phase [1] - Kimi-Researcher utilizes end-to-end agentic reinforcement learning technology and has performed competitively in HLE tests, matching the performance of Gemini-Pro's Deep Research Agent [1][4] Product Features - Kimi-Researcher autonomously plans task execution processes and delivers complete results without complex prompts or preset workflows [4] - The model is designed to learn how to think in dynamic environments, making judgments on conflicting information, tool-switching at task nodes, and determining which intermediate information to retain or discard [4] - The primary motivation for Kimi-Researcher is the successful resolution of tasks, emphasizing its focus on task completion [4] Data and Research Integrity - As a deep research model, Kimi-Researcher incorporates a vast array of data sources, allowing for direct traceability of citations, which enhances research rigor and aims to eliminate inaccuracies [4] - The foundational pre-trained model and the model post-reinforcement learning will be gradually open-sourced to promote exploration in the field of agent reinforcement learning [4]