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sn117Inference & ComputeElevated risk73Avoid20Lossless neural compression on Bittensor
glyph-research/glyph-subnet· pushed 1mo ago emissions paused reg. open
Emission
0
paused on chain
Alpha
0.0123
τ · mcap 23K
Top-slot payout
—
τ per winning epoch · live
Active miners
3
uids flagged active last epoch
Earning uids
3
non-zero emission this epoch
Top-1 emission share
98.6%
largest single earner
Registration burn
1.0000 τ
cost to add one more key
How the emission is shared
live from the chain's Emission vector, normalized across earning uids
largest single uid98.6%
top-10 uids combined100.0%
everyone else (0 uids)0.0%
Why no neuron table
scope, stated plainly
The per-uid metagraph — hotkeys, stakes, trust weights, axons — lives in maps this worker doesn't read yet, and a table of invented keys would be worse than none. What you see here is what subtensor proves today: how many uids are active, how many earn, and how concentrated the emission is among them.
Race participation
supply of keys vs. actual activity
ACTIVE LAST EPOCH
3
from the Active bitmap
EARNING UIDS
3
taking non-zero emission right now
REGISTRATIONS THIS INTERVAL
0
fresh keys competing for slots · 0 τ/day at stake