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
12当前结果
09 月 25 日 2026-09-25 快讯
The Decoder 官方资讯

The Decoder:Pentagon was right to slap Anthropic with a security supply chain risk label, federal court …

原文摘要:A federal appeals court has upheld the Pentagon's decision to bar Anthropic from military contracts. Defense Secretary Hegseth argues the company's safety restrictions cou 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:Another Google Deepmind researcher quits, says building superintelligent AI soon is "inheren…

原文摘要:Google Deepmind researcher Robert O'Callahan has quit, saying AI's "current rate of change is far too high." He worked on chip design tools that helped make AI cheaper and 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:Intelligence doesn't come cheap as AI drives up costs for the NSA, hospitals, and insurers

原文摘要:The NSA is already spending billions of dollars to test advanced AI models, mostly on computing power, according to The Washington Sun. Lawmakers expect full-scale AI over 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 signs $11.6 billion cloud deal with Akamai, pushing its compute spending past $500…

原文摘要:Anthropic has reportedly signed a seven-year, $11.6 billion cloud deal with Akamai Technologies and will receive a warrant for up to 5 percent of Akamai's shares. Its comp 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:White House tells OpenAI and Anthropic to let U.S. review new models before sharing them wit…

原文摘要:The White House wants OpenAI and Anthropic to hold back new AI models from the U.K.'s AI Safety Institute until U.S. agencies get to review them first. The article White H 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。

AI 资讯 官方资讯

AI 资讯:The GPU Shortage Inside Your Own Infrastructure: Why AI Workloads Queue While Capacity Sits …

原文摘要:GPU utilisation shows compute activity, not whether capacity is actually available. A GPU can report low utilisation while remaining fully allocated to one workload. This post expl 来源:AI 资讯。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。