A general-purpose model is too wasteful a vessel for subtitles
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A floor compression couldn't fill — the next thing to cut isn't parameters, it's generality My own model with no compression applied at all — raw, 8 billion parameters (8B) — still left 15 critical mistranslations out of 97. On the same hard cases, a general-purpose model more than three times bigger (27 billion = 27B) had 4. No matter how I varied the strength of the compression, those 15 didn't move. Figure 1: taking compression all the way off didn't bring the floor back (97 Korean→Japanese…
1Key Takeaways
- A floor compression couldn't fill — the next thing to cut isn't parameters, it's generality My own model with no compression applied at all — raw, 8 billion parameters (8B) — still left 15 critical mistranslations out of 97.
- On the same hard cases, a general-purpose model more than three times bigger (27 billion = 27B) had 4.
- No matter how I varied the strength of the compression, those 15 didn't move.
- Figure 1: taking compression all the way off didn't bring the floor back (97 Korean→Japanese….
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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 a floor compression couldn't fill — the next thing to cut isn't parameters, it's generality My own model with no compression applied at all — raw, 8 billion parameters (8B) — still left 15 critical mistranslations out of 97.
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