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Why I'm Swapping Copyright for a Creative Commons Licence on My SciFi Novels
I never really got into writing to make money, doing that requires a level of investment in marketing, influencing, and annoying people far out-reaching the level of actual writing the book in the first place. So for me…
8 分钟 · Hacker News 最新
Preview, edit, and collaborate on Markdown files natively in Google Docs & Drive
Google Workspace is bridging the gap between code and collaboration by providing a familiar, real-time environment where developers and AI agents can seamlessly work together on documentation.
3 分钟 · Hacker News 最新LATEST STORIES
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All 1,557 Google Open Source Blog posts live on ATProto精选导读
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Kazakhstan Expands Compute for Its AI Future精选导读
Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment.
Micron Taiwan increasing salaries for factory workers by 2.7X精选导读
〔財經頻道／綜合報導〕美光公司與台中工會達成共識，根據經濟部日前說明，約有8成以上人員調薪近2.7倍，產線人員從63萬增加到200多萬。由於調整後的年薪相當優渥，引起網友熱議，驚呼加入美光、人生發光，還有人說：「在產線工作一年的薪水至少抵我3年」。 經濟部說明，根據美光公司公布的方案，可看到三項重要成果：第一，約有八成以上人員調薪近2.7倍，產線人員從63萬增加到200多萬；初階工程師從145萬增加到400萬；中高階工程師從200多萬…
Show HN: Handcrafted HTML-first framework that outperforms React精选导读
Hi, I built an hancrafted HTML-first JavaScript framework called Places.js that outperforms React, Svelte, Lit, and Vue.- Components are created with HTML-first templating, which allows for flexibility in how HTML is ge…
Data analysis of login/user data from FusionAuth精选导读
Your browser does not seem to support JavaScript. As a result, your viewing experience will be diminished, and you have been placed in read-only mode.
Breaking the AWS MCP Python Sandbox精选导读
Preface AWS announced the general availability of the AWS MCP Server on May 6, 2026. It is a managed remote Model Context Protocol (MCP) server.
Incremental rust builds up to 92x faster than cargo/rustc精选导读
The same commands as cargo, with blaze in front.
Incremental rust builds up to 92x faster than cargo/rustc精选导读
The same commands as cargo, with blaze in front.
Latai – run GGUF compliant/local models upto 35 MB on edge精选导读
answer = rt.run(latai.text_request("contract-terms", clause_text))