| ▲ | eviks 8 hours ago | ||||||||||||||||
> This is the only weakness of Barr's method. Of course it isn't, the other weakness you just dismiss is the higher risk of failed searches. People already fail with digital, it's even harder to do in print or translate digital to print (something a machine can do with 100% precision, now you've introduced a human error) > At the end of the day, you need people who understand the context Before the end of the day there is also the whole day, and if you have to waste the attention of such people on doing ink redactions instead of dedicating all of their time to focused reading, you're just adding mistakes for no benefit | |||||||||||||||||
| ▲ | JumpCrisscross 7 hours ago | parent | next [-] | ||||||||||||||||
> something a machine can do with 100% precision Forget about typoes. Until recent LLMs, machines couldn't detect oblique or identifying references. (And with LLMs, you still have the problem of hallucinations. To say nothing of where you're running the model.) > if you have to waste the attention of such people on doing ink redactions instead of dedicating all of their time to focused reading You've never read a text with a highlighter or pen? Out of curiosity, have you worked with sensitive information that needed to be shared across security barriers? | |||||||||||||||||
| ▲ | herewulf 7 hours ago | parent | prev [-] | ||||||||||||||||
Reading through material in context and actively removing the telling bits seems very focused to me. Furthermore, reading through long winded, dry legalese (or the like) and then occasionally marking it up seems like an excellent way to give the brain short breaks to continue on rather than to let the mind wander in a sea of text. I am for automating all the things but I can see pros and cons for both digital and manual approaches. | |||||||||||||||||
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