1. Jepsen: NATS 2.12.1 Total comment counts : 10 Summary Jepsen independently evaluated NATS JetStream (v2.12.1) and found data loss under several fault conditions. On minority-node data corruption or truncation, coordinated power failures, OS crashes with delays or pauses, committed writes could be lost and persistent split-brain could occur. The root cause traced to a disk-flush policy that waited two minutes before acknowledging writes. A belated note cites a similar issue with process crashes in v2....

1. I failed to recreate the 1996 Space Jam Website with Claude Total comment counts : 44 Summary An engineer tries to get Claude to recreate Warner Bros’ 1996 Space Jam landing page from a screenshot. The page is a single HTML with absolute positioning and a starfield background. Through a man-in-the-middle proxy, the author tracks Claude’s attempts: a near-accurate but off orbital layout, and hesitance to extract exact pixel coordinates....

1. Tiny Core Linux: a 23 MB Linux distro with graphical desktop Total comment counts : 24 Summary Tiny Core Linux is a ultra-small, modular OS from the Core Project. It starts with a recent Linux kernel (vmlinuz) and a minimal root filesystem (core.gz). Core (11MB) is the kernel plus core.gz and serves as a foundation for user-built desktops, servers, or appliances. TinyCore adds a tiny X desktop (Xvesa, Xprogs, aterm, FLTK-1....

1. Netflix to Acquire Warner Bros Total comment counts : 163 Summary error Overall Comments Summary Main point: Netflix’s proposed acquisition of Warner Bros. Discovery would mark a major consolidation in streaming with broad implications for content, distribution, and competition. Concern: The deal could reduce consumer choice and competition, potentially raise prices or ads, and face regulatory scrutiny plus integration challenges. Perspectives: Opinions range from viewing the deal as harmful to consumers and content quality to seeing potential strategic benefits for Netflix (IP access, scale, HBO integration) and questions about which bidders would be best and how it would affect theatrical releases, ads, and governance....

1. CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication Through RL Total comment counts : 2 Summary CUDA-L2 is a system that uses large language models and reinforcement learning to automatically optimize half-precision GEMM CUDA kernels. It reportedly outperforms major matmul baselines, including PyTorch’s matmul and NVIDIA cuBLAS/cuBLASLt. The kernels are trained on A100 hardware, with caveats about potential speedups on other GPUs; kernels for other machines will be released progressively. For dimensions not covered, users can pad to the nearest configuration or open GitHub issues for requests....

1. Ghostty is now non-profit Total comment counts : 27 Summary Ghostty is now fiscally sponsored by Hack Club (a 501(c)(3)), extending its tax-exempt status to Ghostty. This enables tax-deductible donations, transparent accounting, compliance, and governance oversight while keeping Ghostty open-source and MIT-licensed. The goal is a sustainable, non-profit infrastructure, reducing founder risk and ensuring public-benefit focus. Technically unchanged; leadership remains, but IP transferred to Hack Club. Contributions can be compensated, and funds can support dependencies, events, and operations....

1. Anthropic acquires Bun Total comment counts : 97 Summary Anthropic has acquired Bun, betting its JavaScript runtime powers Claude Code, the Claude Agent SDK, and future AI coding tools. Claude Code ships as a Bun executable to millions; if Bun breaks, Claude Code breaks, giving Anthropic a strong incentive to maintain Bun’s quality. The founder describes Bun as an all-in-one, fast runtime—bundler, transpiler, runtime, test runner, and package manager—born from a Zig-based JSX/TypeScript transpiler....

1. DeepSeek-v3.2: Pushing the frontier of open large language models [pdf] Total comment counts : 17 Summary error Overall Comments Summary Main point: Open-source and smaller players are catching up to or rivaling large private AI models in performance and efficiency, potentially reshaping the AI landscape and reducing monopolistic risk Concern: Despite progress, monetization, credibility, and verification challenges (such as lack of peer review and hype) could limit open models’ impact and let incumbents maintain dominance Perspectives: Views range from enthusiastic optimism about competition and efficiency to skepticism about benchmarks, real-world usefulness, hardware costs, and monetization viability Overall sentiment: Cautiously optimistic 2....

1. Advent of Code 2025 Total comment counts : 29 Summary Advent of Code is an annual Advent calendar of small programming puzzles by Eric Wastl. Puzzles suit varying skill levels and can be solved in any language; they’re used as interview prep, coursework, practice, speed contests, or friendly challenges. You don’t need a CS degree; even ten-year-old hardware can run solutions within 15 seconds. Tips: test against examples, add your own cases, ensure you have full input, and ask for help on Reddit or private leaderboards....

1. All it takes is for one to work out Total comment counts : 24 Summary The author recalls a bleak stretch applying to graduate school after a rocky undergrad and a just-okay GMAT. A friend kept saying, “All it takes is for one to work out,” a line he initially doubted but later verified when one offer changed his life. The piece argues this truth applies to high-stakes searches—admissions, jobs, homes, relationships: you don’t need every option to succeed, just the one that’s the right fit, a mindset that can ground you through brutal processes....