Positive users call appending dots to prompts a genius way to boost frontier LLM reasoning on multi-hop tasks, while negative users argue it merely reroutes signals without fixing how to verify real reasoning versus pattern matching.
Based on 2 visible X reactions from 7 accounts; directional sample.
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The empty tokens grant the model extra compute loops.
Prompting “……………….” makes AI think more The tokens don’t matter, just giving it extra time to think and have compute loop over the other tokens is enough to be smarter Btw this is a big reason planning mode works. If you flood the context window, you get more compute by default
Positive users call appending dots to prompts a genius way to boost frontier LLM reasoning on multi-hop tasks, while negative users argue it merely reroutes signals without fixing how to verify real reasoning versus pattern matching.
Based on 2 visible X reactions from 7 accounts; directional sample.
Ask a question below.
Published answers will appear here.