Feels like AI is entering its “infrastructure matters” phase
r/artificial
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AI Research
A year ago, most discussions were about which model was smartest. Now it increasingly feels like the bigger differentiators are becoming: latency orchestration context handling reliability inference economics developer workflow deployment flexibility The interesting shift is that model quality is improving across the board fast enough that “best benchmark” doesn’t automatically translate into “best real-world experience” anymore.