Active NEPs
This page lists all currently active and pending NeuroShard Enhancement Proposals.
Status Overview
| Status | Count | Description |
|---|---|---|
| 🟢 ACTIVE | 0 | Currently enforced |
| 🟡 VOTING | 0 | Open for voting |
| 🔵 SCHEDULED | 0 | Approved, waiting activation |
| ⚪ DRAFT | 0 | In preparation |
Updated automatically from the network.
🟢 Active NEPs
No NEPs are currently active. The protocol is running on base version 1.0.0.
When NEPs are activated, they will appear here with:
- Implementation date
- Economic impact summary
- Version bump details
🟡 Currently Voting
No proposals are currently in the voting phase.
When a proposal enters voting, you can:
- Review the specification
- Understand the economic impact
- Cast your vote (if you have staked NEURO)
🔵 Scheduled for Activation
No proposals are currently scheduled.
Approved proposals appear here with:
- Activation block number
- Days until activation
- Upgrade instructions
⚪ Draft Proposals
No proposals are currently in draft phase.
Draft proposals are being prepared and discussed before formal voting.
Proposed NEPs (Not Yet Submitted)
The following improvements are being discussed by the community:
NEP-DRAFT-001: Multi-Token Prediction (MTP)
Type: Training
Status: Community Discussion
Summary: Enable models to predict multiple future tokens per forward pass, extracting 2-3x more training signal.
Economic Impact:
- Training efficiency: +100%
- Per-batch reward: No change
- Net effect: Faster model improvement
Discussion: Discord #governance
NEP-DRAFT-002: Multi-Head Latent Attention (MLA)
Type: Architecture
Status: Technical Review
Summary: Compress KV cache by 20x using low-rank projection, enabling longer context on consumer hardware.
Economic Impact:
- Memory requirement: -2GB
- Inference speed: +30%
- Net effect: More nodes can participate
Discussion: Discord #governance
NEP-DRAFT-003: Auxiliary-Loss-Free MoE Balancing
Type: Training
Status: Research
Summary: Dynamic bias terms for MoE expert routing without auxiliary losses.
Economic Impact:
- Training stability: Improved
- Convergence: Faster
- Net effect: Better model quality
Discussion: Discord #governance
How to Track Proposals
Subscribe to Updates
# CLI notifications
neuroshard governance watch --notify email
# Or via API
curl https://api.neuroshard.com/governance/subscribe \
-d '{"email": "you@example.com"}'Query Programmatically
from neuroshard.core.governance import NEPRegistry, NEPStatus
registry = NEPRegistry()
# Get all voting proposals
voting = registry.list_proposals(status=NEPStatus.VOTING)
for nep in voting:
print(f"{nep.nep_id}: {nep.title}")
print(f" Approval: {nep.approval_threshold:.0%}")
print(f" Ends: {nep.voting_end}")
# Get active NEPs
active = registry.list_proposals(status=NEPStatus.ACTIVE)Via Website
Visit neuroshard.com/governance for:
- Real-time proposal status
- Vote casting interface
- Historical NEP archive
Historical Archive
All past proposals (approved and rejected) are archived for transparency.
| NEP | Title | Status | Date |
|---|---|---|---|
| None yet | Protocol launched with base version | — | — |
This table will populate as proposals are processed.
Submit Your Own
Have an idea to improve NeuroShard?
- Discuss on Discord #governance
- Write a proposal following the proposal guide
- Submit with 100+ NEURO staked
- Engage with community feedback
See How to Create a Proposal for detailed instructions.
