This growth trajectory suggests that early adoption advantages in AIO will compound over time. Establishing strong AI visibility now, while competition remains relatively light, positions you favorably as usage explodes and competition intensifies. The content creators building AI authority today will have structural advantages over those who wait until AI search is fully mainstream and optimization becomes more competitive.
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.
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This article originally appeared on Engadget at https://www.engadget.com/gaming/playstation/marchs-ps-plus-monthly-games-include-monster-hunter-rise-and-slime-rancher-2-182644562.html?src=rss
In Testing Side Effects Without the Side Effects, we explored a JavaScript Effect System where business logic doesn’t execute actions directly. Instead, it returns a description of what it intends to do in the form of a simple Command object. For example:
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