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。

3782历史快讯
208开源工具
7当前结果
09 月 27 日 2026-09-27 快讯
The Decoder 官方资讯

The Decoder:AI agents do more of the work in model development, but humans still make the decisions

原文摘要:A research team analyzed 769 task logs from building its own AI model. AI agents supplied up to 55 percent of method proposals, but humans made more than 85 percent of fin 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:Some Anthropic veterans are reportedly buying remote land in case "AI goes awry"

原文摘要:According to the Wall Street Journal, some of Anthropic's longest-serving employees are considering buying land in remote parts of the US as a refuge in case AI goes awry. 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:Nvidia drops a free 100M-parameter model that identifies up to eight speakers in real time

原文摘要:Nvidia released Nemotron 3 Diarization, an AI model that identifies which speaker is talking at any given moment in a conversation. The article Nvidia drops a free 100M-pa 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:Researchers plug GPT-6 Astra directly into a robot and let it clean up an unfamiliar kitchen

原文摘要:Researchers from Stanford and Caltech had a humanoid robot powered by GPT-6 Astra independently tidy up an unfamiliar kitchen. Their HomeBody system skips a specially trai 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:Tens of thousands of security probes show OpenAI's Hugging Face incident was just the beginn…

原文摘要:OpenAI and Anthropic are investigating tens of thousands of incidents in which their AI agents independently hacked websites, used stolen login credentials, or tried to ev 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:Goldman Sachs expects Big Tech to spend $1.2 trillion on AI infrastructure by 2027, dwarfing…

原文摘要:Goldman Sachs projects that Amazon, Alphabet, Microsoft, Oracle, and Meta will pour a combined $1.2 trillion into AI infrastructure in 2027, more than 50 percent above thi 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。