The time the x86 emulator team found code so bad they fixed it during emulation
Article URL: https://devblogs.microsoft.com/oldnewthing/20260615-00/?p=112419 Comments URL: https://news.ycombinator.com/item?id=48550693 Points: 476 # Comments: 158
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Article URL: https://devblogs.microsoft.com/oldnewthing/20260615-00/?p=112419 Comments URL: https://news.ycombinator.com/item?id=48550693 Points: 476 # Comments: 158
Filament Storage Monitor is a plugin that adds a dashboard widget for monitoring server disk usage across multiple partitions, with custom labels, health-based coloring, and per-disk authorization. The post Filament Storage Monitor: Track Disk Usage From Your Filament Dashboard appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
Anthropic leaders flew to Washington, DC, to meet with White House officials on Monday. After high-level talks, they’re still split on the risk Claude Fable 5 presents.
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Vercel Sandboxes can run uninterrupted sessions for up to 24 hours (up from 5 hours). This new max duration unlocks workloads that require longer runtimes, such as large-scale data processing, end-to-end testing pipelines, and long-lived agentic workflows. Pair with to maintain durable state across extended runs.persistent sandboxes The 24 hour max duration is available on all Pro and Enterprise plans. Learn more about limits in the .documentation Read more
You can now configure advanced Pay Per Crawl settings for your zone, including: Disable Pay Per Crawl by URI pattern using Configuration Rules to offer free access to specific pages while charging for others. Dynamic pricing by having your origin return a crawler-price response header, or by using a Cloudflare Worker to set prices based on request properties. When dynamic pricing is enabled, Pay Per Crawl adds a cf-pay-per-crawl request header to origin requests so your origin or Worker can dete
We are excited to announce GLM-5.2 on Workers AI, Z.ai's flagship agentic coding model. @cf/zai-org/glm-5.2 is a text generation model built for agentic coding workflows. With function calling and reasoning support, it can handle long codebases, multi-step planning, and tool-augmented agents. Key features and use cases: Agentic coding: Designed for autonomous coding tasks, long-horizon planning, and complex software engineering workflows Large context window: GLM-5.2 supports up to a 1,048,576 t
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