各营收区间的研发强度则呈“金字塔”式负相关，即研发强度的最高值和中位数都随着营收规模的增长而递减。金字塔尖是那些营收万亿元级的巨无霸企业，它们的研发强度最高值和中位数分别仅为3.27%和2.08%；而金字塔底则是营收十万元级及以下的初创小公司，它们的研发强度中位数竟高达37446.12%，最高值甚至突破47441%。
Tied embeddings, no FFN bias, curriculum learning
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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.
В Финляндии предупредили об опасном шаге ЕС против России09:28
684 PAGER5 JMP_FAR_DONE LJUMP SPCR ; done — set up far return