LeCun: Open Models Needn't Pursue Absolute Openness
ylecun · x · 2026-07-16
Yann LeCun shared a discussion regarding "open models":
- Pursuing "openness for all data" is unrealistic and may involve IP infringement.
- Releasing only the training framework is insufficient, as others may not be able to reproduce the training at the same scale.
- In practice, open models that can be inspected and fine-tuned are more valuable.
The core conclusion is that while these models might not be considered "completely open," this level of openness is far more practical and useful in reality.
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