Opus 4.7 uses an updated tokenizer that improves how the model processes text. The tradeoff is that the same input can map to more tokens—roughly 1.0–1.35× depending on the content type.
tokenizer的更新虽然增加了token使用量，但提高了文本处理效率，这反映了AI模型在基础架构上的持续优化，这种优化虽然带来短期成本增加，但长期将提升AI的处理能力和准确性。
first we're looking for the "main" object. The word "main" is used in lots of places in Ruby, so that will be hard to track down. How else can we search?Luckily, we know that if you print out that object, it says "main". Which means we should be able to find the string "main", quotes and all, in C.
Another in a growing line of research tools for processing and making sense of research literature including Research Rabbit, Connected Papers, Semantic Scholar, etc.
Functionality includes the ability to highlight sections of research papers with natural language processing to explain what those sections mean. There's also a "chat" that allows you to ask questions about the paper which will attempt to return reasonable answers, which is an artificial intelligence sort of means of having an artificial "conversation with the text".
cc: @dwhly @remikalir @jeremydean
Process the log file to determine the spread of data: cat /tmp/sslparams.log | cut -d ' ' -f 2,2 | sort | uniq -c | sort -rn | perl -ane 'printf "%30s %s\n", $F[1], "="x$F[0];'
Different ways to prepend a line: (echo 'line to prepend';cat file)|sponge file sed -i '1iline to prepend' file # GNU sed -i '' $'1i\\\nline to prepend\n' file # BSD printf %s\\n 0a 'line to prepend' . w|ed -s file perl -pi -e 'print"line to prepend\n"if$.==1' file
perl -ne 'chomp(); if (-e $_) {print "$_\n"}'
xargs -i sh -c 'test -f {} && echo {}'
Kennedy, B., Atari, M., Davani, A. M., Hoover, J., Omrani, A., Graham, J., & Dehghani, M. (2020, May 7). Moral Concerns are Differentially Observable in Language. https://doi.org/10.31234/osf.io/uqmty