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.
Yes, since hashes are calculated differently between ostree and rpm-ostree, they don’t match, so I have to retrieve the equivalent hash with ostree
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Last year, a judge for California's Office of Administrative Hearings ruled that the company had engaged in deceptive marketing by describing its fleet's driver assistance systems as "Autopilot" modes. The court argued that Tesla's Autopilot and “Full Self-Driving Capability” (FSD) did not meet the necessary autonomous driving criteria under NHTSA’s Levels of Automation system — the features are rated by the NHTSA as Level 2 automation, where Level 5 is a fully autonomous vehicle. The decision claims features need to be at least Level 3 to be described as "self-driving."
Andrew enjoys the outdoors
更让人忧虑的是，AI 正在批量生成文字内容，这些低成本的文本涌入市场，让原本就艰难的写作谋生变得更难。训练 AI 用的是人写的书，而 AI 产出的内容，正在挤压人继续写书的空间，循环往复。