AI 每日快讯

AI 每日快讯

AI 产品、模型、开源工具和官方动态的时间流。保留历史记录,按分类、日期和标签继续筛选。

3231历史快讯
177开源工具
7当前结果
08 月 16 日 2026-08-16 快讯

DeepSeek Harness 生态合集:把插件、工具与基础设施一网打尽

一句话结论:这是一个围绕 DeepSeek 模型的精选生态资源列表,帮你快速找到可用的插件和工具。原始信息显示,GitHub 用户 0xsline 创建了 awesome-deepseek-harness 项目,系统整理了来自 dsh-external/hub 和公开 dsh-plugin 主题下的插件、工具与基础设施。它值得关注,是因为 DeepSeek 模型生态正在快速膨胀,但分散的仓库和主题让开发者难以高效筛选,这个合集恰好提供了结构化的入口。影响最大的群体是正在基于 DeepSeek 构建 Agent 或编码助手的开发者,他们能省下大量搜索和验证时间。下一步建议直接访问该仓库,浏览分类清单,并对照自己的项目需求挑选插件,再通过实际运行测试其兼容性和效果。

The Decoder 官方资讯

The Decoder:When AI models aren't allowed to reflect on themselves, it changes their entire worldview

原文摘要:A study involving Google researchers shows that when chatbots are trained not to claim consciousness, it also changes their stance on animal rights, religion, and life sat 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

The Decoder 官方资讯

The Decoder:OpenAI dissolved the team built to catch catastrophic AI risks, reassigning its work to othe…

原文摘要:OpenAI shut down its "Preparedness" team, which evaluated whether the company's own AI models could pose catastrophic risks. The work has been parceled out to existing gro 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

The Decoder 官方资讯

The Decoder:Anthropic's bio-weapons filter was down for nearly a year, exposing 133 million requests

原文摘要:In a safety report, Anthropic reveals that its internal filtering system for biological and chemical weapons risks was inactive for nearly a year. During that time, around 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

The Decoder 官方资讯

The Decoder:Optima tackles AI benchmarking's biggest flaw by letting users test models against their own…

原文摘要:Artificial Analysis has launched Optima, a platform that lets users build custom AI 评测 from their own data and 工作流. Models can be compared not just on qualit 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。

The Decoder 官方资讯

The Decoder:One in five US workers now delegates tasks to AI instead of colleagues, survey finds

原文摘要:A representative survey by Epoch AI found that 20 percent of employed Americans hand off at least one task to AI that a human used to do. Generally, they accept AI output 来源:The Decoder。建议继续查看原文,重点核对它影响的工具入口、成本、风险和真实使用场景。