The Most Important Metric in Real-Time AI Isn't Accuracy
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Every AI benchmark told us to optimize for accuracy. So that's exactly what we did. We compared speech recognition models, evaluated translation quality, tested different text-to-speech engines, and spent weeks chasing better results. On paper, everything looked promising. Then we ran one of our first internal demos. Two people started talking through the system. The first person finished speaking. Nothing happened for a moment. The second person assumed the system had stopped listening and…
1Key Takeaways
- Every AI benchmark told us to optimize for accuracy.
- We compared speech recognition models, evaluated translation quality, tested different text-to-speech engines, and spent weeks chasing better results.
- On paper, everything looked promising.
- Then we ran one of our first internal demos.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that every AI benchmark told us to optimize for accuracy.
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