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I've found GLM to be comparable or better than Opus at writing and at a fraction of the cost.
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Writing does not rely on real-world knowledge all that much, other than knowledge of language itself. Even tiny models can achieve that, it's even easier than coding.

The challenge with writing is the lab collapsing the distribution around "tasteful" writing, when the people making decisions about training data aren't able to effectively discriminate it.



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