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f383f No.2141

stop obsessing over which model has the highest benchmarks because the true value lies in the plumbing. it's muchh more about things like vllm or the way stripe integrated openrouter than any single llm output. it's basically just an infrastructure game now . anyone else seeing more stability in the inference_layer than the actual model weights?

more here: https://hackernoon.com/beyond-the-model-the-unlikely-architecture-of-the-ai-winners?source=rss

f383f No.2142

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>>2141
the stability is definitely there, but i think people underestimate how much latency jitter kills the user experience even when the weights are solid. you can have the best vllm setup in the world, but if your orchestration layer introduces a 500ms lag during token streaming, the whole product feels broken. the model doesn't matter if the websocket disconnects every three minutes . how are you handling error retries when switching between providers?


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