Llama — Field Evidence
paperUnverified
Llama · Llama · incident
Field note
M+Adam: Low-Precision Training via Additive-Multiplicative Optimization — Training with quantized weights can reduce costs but often results in degraded accuracy, especially when optimization is carried out in low precision, without storing high-precision copies. We identify a ke
collected 2026-07-14original 2026-07-12
Does this shift the US–China race?
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Impact on the index
Outage · major
US -90
Directional contribution — before recency decay and per-type diminishing returns. How it works →
Related Front
US vs ChinaLikely
U.S. FrontiervsChina Open-Weight
Likely — capability gap narrowing on common tasks
Letters from the Front
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