Affine Tackles Model Spam With Fee Proposal
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Affine's subnet faces queue congestion from 70+ merged/unmodified models submitted without real training. Team proposes introducing submission fees to filter spam and reduce computational waste. DNS API issues reported. Top miners reportedly left due to network quality concerns, particularly overfitting in the liveweb environment.
- •70+ models queued since new sampling system; mostly merged or weight-changed, not trained
- •Proposed submission fee to prevent spam while keeping queue clean
- •DNS server timeout errors affecting Affine API access
- •Top performers left subnet citing overfitting issues in broken environments
Distilled from 37 team messages in the official Bittensor Discord. Generated by Claude Haiku 4.5.
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- Discord message 1506496932732735488
- Discord message 1506523701632303147
- Discord message 1506547997574561863
- Discord message 1506548386592067656
- Discord message 1506548819008163880
- Discord message 1506604744234500106
- Discord message 1506604780414435359
- Discord message 1506604856360570933
- Discord message 1506604878942965771
- Discord message 1506608780111253605
- Discord message 1506609774773407774
- Discord message 1506622410101887017
- Discord message 1506642263462379600
- Discord message 1506644213847167016