Play video, "走进中国的“思想转化营”", 節目全長 11,58
I have three 27” monitors—two portrait flanking one landscape. I find portrait layout to be more useful for more of what I do. I work in the command line a lot, remotely managing a variety of Cisco, Ruckus, and Juniper network switches. To me, command line, chat, email, and Word and PDF documents all usually work better in portrait. I had a difficult time finding good VESA mounting hardware for the two portrait monitors. I ended up with VideoSecu ML411B mounting brackets, and they work quite well. My partner designed and 3D-printed a great, simple mount for the landscape monitor.
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This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.，更多细节参见91视频
Transformers solve these using attention (for alignment), MLPs (for arithmetic), and autoregressive generation (for carry propagation). The question is how small the architecture can be while still implementing all three.
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