American Оbserver
@american_observer · Post #5370 · 03/13/2026, 08:02 PM
#fertilizers#cost#trump 📱American Оbserver - Stay up to date on all important events 🇺🇸
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Source channel @githubtrending · Post #14731 · May 21
#cplusplus#high_performance#interior_point_method#linear_optimization#mixed_integer_programming#parallel#quadratic_programming#simplex HiGHS is a free, high-performance software that solves large and complex optimization problems like linear, quadratic, and mixed-integer programming. It works fast on many computers, including Linux, MacOS, and Windows, without needing extra software. You can use it through various programming languages like Python, C, C#, and Fortran, making it easy to integrate into your projects. HiGHS supports both serial and parallel computing, and it is advancing GPU acceleration for even faster solutions. This helps you efficiently find the best solutions for planning, scheduling, and decision-making problems in science, engineering, and business. Installation is straightforward, and detailed documentation is available to guide you[1][2][3][4]. https://github.com/ERGO-Code/HiGHS
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探索号
@seeker_rc · Post #20402 · 05/13/2026, 02:55 AM
凌晨三点,我的 AI Agent 重试了一万四千次 —— 然后我写了个开源刹车 两个月前一个凌晨,Agent 卡在重试循环里,把一个月的额度跑没了。Provider 后台只告诉我"发生了什么",我需要的是"正在发生时就停下来"。 于是写了 Cost Firewall:OpenClaw 网关的本地插件,实时监控调用元数据,在重试循环 / Token 风暴 / 调用洪水 / 预算超限 四种场景下自动熔断,还有一行命令的急停: openclaw firewall stop 特意做了两件事: 1. 默认 observe 模式只观察不拦,让你看清自己的真实流量再切 protect 。 2. 不存 prompt 、不上报遥测、不需要 Mapi... via V2EX 分享创造 标签: #Agent#Cost#Firewall ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道：科技探索者 每天推荐有趣内容，欢迎订阅、转发。
Environment & Climate Change
@Enviro_Climate · Post #311 · 11/24/2020, 07:32 PM
Climate Change and the #Cost of #Capital in #Developing_Countries Source: Imperial College Business School Read more »» @Enviro_Climate
GitHub Trends
@githubtrending · Post #14992 · 07/23/2025, 01:00 PM
#go#aws#azure#cncf#cost#cost_optimization#finops#gcp#k8s#kubernetes#monitoring#opencost#prometheus OpenCost is a free, open-source tool that helps you see and understand the costs of running Kubernetes clusters and cloud services in real time. It breaks down costs by cluster, node, namespace, pod, and more, across multiple cloud providers like AWS, Azure, and GCP, and even supports on-premises setups. This lets you track where your money is going, spot expensive resources, and manage your cloud spending better. It integrates with Prometheus for metrics and offers a user-friendly web interface and APIs for easy cost monitoring and exporting. Using OpenCost helps you control and optimize your cloud and Kubernetes expenses efficiently[1][2][3][4]. https://github.com/opencost/opencost