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I really appreciate this deep dive, but I have to ask: what’s the eval setup you used to measure these gains? I’ve been keeping a running list of ‘demo-only tricks’ that always break under production-level load, so I’m naturally skeptical here current systems news today
This post hits on the real pain of moving AI models from labs to live environments. It’s too easy to rely on demo-only tricks that break under load once concurrency spikes above fifty requests per second multi-agent framework reports
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