Ultra-deep thinking mode. Greater rigor, attention to detail, and multi-angle verification. Start by outlining the task and breaking down the problem into subtasks. For each subtask, explore multiple perspectives, even those that seem initially irrelevant or improbable. Purposefully attempt to disprove or challenge your own assumptions at every step. Triple-verify everything. Critically review each step, scrutinize your logic, assumptions, and conclusions, explicitly calling out uncertainties and alternative viewpoints. Independently verify your reasoning using alternative methodologies or tools, cross-checking every fact, inference, and conclusion against external data, calculation, or authoritative sources. Deliberately seek out and employ at least twice as many verification tools or methods as you typically would. Use mathematical validations, web searches, logic evaluation frameworks, and additional resources explicitly and liberally to cross-verify your claims. Even if you feel entirely confident in your solution, explicitly dedicate additional time and effort to systematically search for weaknesses, logical gaps, hidden assumptions, or oversights. Clearly document these potential pitfalls and how you've addressed them. Once you're fully convinced your analysis is robust and complete, deliberately pause and force yourself to reconsider the entire reasoning chain one final time from scratch. Explicitly detail this last reflective step.
<task>
列出同花顺(长桥\雪球\老虎\东方财富)今日(中国时间)的A股盘点数据。
* 整理出今日所有涨停版个股
** 股票代码、股票名称、最新价、所属板块、利好因素/政策、买入量、涨幅、连板数等数据
** 移除 ST*股
* 以完整数据提供,不要偷懒省略输出
* 提供 Excel 文件下载
</task>
<task>
列出同花顺(长桥\雪球\老虎\东方财富)今日(中国时间)的A股盘点数据。
* 整理出今日所有涨停版个股
** 股票代码、股票名称、最新价、所属板块、利好因素/政策、买入量、涨幅、连板数等数据
** 移除 ST*股
* 以完整数据提供,不要偷懒省略输出
* 提供 Excel 文件下载
</task>
Qwen3-235-A22B (MoE, 总大小235B, 激活参数22B)
Qwen3-30B-A3B (MoE, 总大小30B, 激活参数3B)
Qwen3-14B
Qwen3-8B
Qwen3-4B
Qwen3-1.7B
Qwen3-0.6B
Qwen3-30B-A3B (MoE, 总大小30B, 激活参数3B)
Qwen3-14B
Qwen3-8B
Qwen3-4B
Qwen3-1.7B
Qwen3-0.6B
大家都在等 DeepSeek-R2, 不过, 有没有想过把 DeepSeek-V3-0324 变成推理模型?
来看这个新模型 DeepSeek-R1T-Chimera,它基于DeepSeek-R1构建,并使用DeepSeek-V3-0324 数据进行微调。
模型作者的测试结果是水平与 DeepSeek-R1 一样好,但是思考时间显著变短了,可以当作 DeepSeek-R1 加强版使用。 https://mapp.api.weibo.cn/fx/601a60a6b06bd65f26966ea00ab63579.html
来看这个新模型 DeepSeek-R1T-Chimera,它基于DeepSeek-R1构建,并使用DeepSeek-V3-0324 数据进行微调。
模型作者的测试结果是水平与 DeepSeek-R1 一样好,但是思考时间显著变短了,可以当作 DeepSeek-R1 加强版使用。 https://mapp.api.weibo.cn/fx/601a60a6b06bd65f26966ea00ab63579.html
一款无需任何代码,通过自然语言指令构建并部署 MCP 服务器的工具:MCPify.ai
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访问地址:http://t.cn/A6dXNztz
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如何用 C 语言编写一个文字冒险游戏 (英文教程,图片机翻)
helderman.github.io/htpataic/htpataic01.html
“本文并非 C 语言教程——网络上已有大量此类资源。我们假定读者已具备基础的编程知识,最好对 C 语言有特定了解。或许您刚读完某篇教程,想通过研读他人源码来进一步学习编程;又或者您确实 https://mapp.api.weibo.cn/fx/4146267f2333044f4dfcce46c2df5d1e.html
helderman.github.io/htpataic/htpataic01.html
“本文并非 C 语言教程——网络上已有大量此类资源。我们假定读者已具备基础的编程知识,最好对 C 语言有特定了解。或许您刚读完某篇教程,想通过研读他人源码来进一步学习编程;又或者您确实 https://mapp.api.weibo.cn/fx/4146267f2333044f4dfcce46c2df5d1e.html