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The problem with hyper targeting harnesses to models is that you end up locking yourself quite quickly into special behaviors of models, and you make your sessi
by the_mitsuhiko 4mo ago
The problem with hyper targeting harnesses to models is that you end up locking yourself quite quickly into special behaviors of models, and you make your sessions non transferrable. That can be an acceptable trade-off and I know people who do that.
- lukasco 4mo agoTotally agree. And really, we use the llms to be the universal layer, not the harness. It’s already nigh on impossible to eval a harness with multiple turns (at least as far as I’ve seen), so multiply by specific llm prompt…)