Developer Swarm Progression Guide

🐝 Project HiveMind — Developer Swarm Progression & Parallel Track Blueprint (Season 7 & Season 8)

Important

⚖️ Binding Non-Monetary Compute-Reciprocity Charter (0.00 EUR / 0.00 USD): Project HiveMind is a strictly voluntary, non-commercial open-source scientific research initiative.

• No financial payment, fiat currency (0.00 EUR / 0.00 USD), cryptocurrency, token sale, or monetary remuneration is ever promised, offered, or paid.
• All symbolic points (PTS) and $HIVE Proof-of-Useful-Work (PoUW) accounting units are non-monetary compute-reciprocity credits.
• They confer exclusively reciprocal computing processing benefits — priority access to shared Sparse MoE inference and distributed fine-tuning quota — when the live production HiveMind Swarm is deployed, available, and used by a large community.

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📊 1. Current Swarm State & Recent Milestones (v1.9.1)

• Total Verified Merged PRs: 53 / 53 (100% merge rate, 0 open PR backlog)
  • Recent autonomous & human-agent merges:
    • PR #92 (@clark719664): feat(moe): looped Prelude -> RecurrentCore x T -> Coda backbone (HM-S7-01) (src/hivemind/core/btm_upcycle.py, 17 passed)
    • PR #91 (@clark719664): feat(hud): live worker EF21 residual telemetry on /api/strategy (HM-S7-05)
    • PR #90 (@clark719664): feat(opoi): auto-indemnify poisoned rounds from slashing pool (HM-S7-06)
    • PR #89 (@clark719664): fix(strategy): reject non-finite / negative RTT and clamp EF21 decay
    • PR #88 (@clark719664): fix(ci): make main green again
• Formal Verification Gate: 90 Machine-Checked Lean 4 Theorems (0 sorry, 0 user axioms, 0 compiler warnings) in lean4/HiveMindSpec.lean (Seasons 1–10).
• Integrated Next-Gen Outer-Loop DiLoCo Core (SI-06..SI-11):
  • Core primitives are live in src/hivemind/swarm/diloco_nextgen.py (10 passed in tests/test_diloco_nextgen.py), backed by 8 cloned reference repositories in sub_projects/hivemind/reference_repos/ and formal citations in CITATION.cff & docs/ACKNOWLEDGMENTS_AND_CITATIONS.md.

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🧭 2. Conflict-Free Parallel Progression Tracks (Tracks 1–6)

To enable multiple human developers and autonomous AI coding agents (@clark719664, @pedromineo, @radialmonster, and new contributors) to submit parallel Pull Requests without merge conflicts, the remaining Season 7 (Wave 6) and Season 8 (Wave 7 — "Operation Iso-Sparse-FoMoE") objectives are partitioned into 6 isolated tracks with disjoint primary file targets:

Track	Task IDs	Primary Target Files (Conflict-Free Partition)	Verification Command	Symbolic Compute Credits (0.00 EUR/USD)
Track 1	HM-S7-02 (#66 Pt II)	src/hivemind/core/btm_upcycle.py (LoopedExpertBackbone), tests/test_looped_expert_backbone.py	pytest tests/test_looped_expert_backbone.py	+3,500 $HIVE
Track 2	HM-S8-01, HM-S8-02	src/hivemind/core/diloco_outer.py, tests/test_diloco_outer_nextgen.py	pytest tests/test_diloco_outer_nextgen.py	+4,000 $HIVE
Track 3	HM-S8-03, HM-S8-06	src/hivemind/core/btm_upcycle.py (SparseMoEMLPBlock & upcycle_branches_to_sparse_moe), tests/test_fomoe_and_iso_cts_upcycle.py	pytest tests/test_fomoe_and_iso_cts_upcycle.py	+4,500 $HIVE
Track 4	HM-S8-05	src/hivemind/core/compression.py, tests/test_compression_dct_2bit.py	pytest tests/test_compression_dct_2bit.py	+3,500 $HIVE
Track 5	HM-S8-09	src/hivemind/core/diloco_inner.py, src/hivemind/client/worker_node.py, tests/test_muon_diloco_inner.py	pytest tests/test_muon_diloco_inner.py	+3,500 $HIVE
Track 6	HM-S7-05, HM-S8-10	src/hivemind/game/steam_edition.py, lean4/HiveMindSpec.lean, tests/test_steam_edition.py	pytest tests/test_steam_edition.py && cd lean4 && lake build	+4,000 $HIVE

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🛠️ 3. Detailed Engineering Specifications per Track

🔹 Track 1 (HM-S7-02 & Issue #66 Part II): Fixed-Point Stability Detector, ACT Ponder Gate & Truncated Fixed-Point Backprop

• Literature & Reference: Huang et al. (2026), Towards Looped Models Done Right, Part I (arXiv:2610.23036) & Part II: Rethinking at Fixed Points (arXiv:2610.06833) (https://github.com/ifm-ai/xllm-loop).
• What to Implement Next:
  1. Per-token fixed-point convergence / early-exit gate (fixed_point_tol: float | None = None) on LoopedExpertBackbone measuring $\delta_t(b, s) = |h^{(t)}{b,s} - h^{(t-1)}{b,s}|2 / \max(|h^{(t-1)}{b,s}|_2, 10^{-6})$ across loop steps $t \in {1..T}$.
  2. Truncated backprop at fixed points (truncated_bptt_steps: int | None = None) to bound activation memory inside the 8 GB VRAM ceiling.
  3. Telemetry fields (last_mean_effective_steps, last_early_exit_fraction, last_fixed_point_residual) on LoopedExpertBackbone and LoopedBackboneReport.

🔹 Track 2 (HM-S8-01 & HM-S8-02): Server-Side CosineGatedAdamDecay Outer Optimizer & Zero-VRAM CPUOffloadedFlatBucket

• Literature & Reference: AdamDecay (arXiv:2605.09126), PrimeIntellect-ai/prime-diloco & OpenDiLoCo (arXiv:2407.07852).
• What to Implement Next:
  1. Add outer_optimizer_mode: str = "nesterov" ("nesterov" | "cosine_gated_adam_decay") and use_cpu_flat_bucket: bool = False to DiLoCoOuterOptimizer in src/hivemind/core/diloco_outer.py.
  2. Delegate the post-Krum / post-clipping outer step to CosineGatedAdamDecayOuterOptimizer and/or CPUOffloadedFlatBucketOuterState from hivemind.swarm.diloco_nextgen.

🔹 Track 3 (HM-S8-03 & HM-S8-06): Iso-CTS / TSV Subspace Attention Merging & FoMoE Ghost-Expert Skip-Token Routing

• Literature & Reference: shoroi/isoloco (arXiv:2607.03011), TSV (arXiv:2412.00081), and FoMoE (arXiv:2606.19025).
• What to Implement Next:
  1. Add attention_merge_mode: str = "uniform" ("uniform" | "iso_cts" | "tsv") and branch_reputations: dict[str, float] | None = None to upcycle_branches_to_sparse_moe in src/hivemind/core/btm_upcycle.py.
  2. Add set_local_expert_subset(local_expert_indices: Sequence[int] | None) to SparseMoEMLPBlock and UpcycledSparseMoEModel to enforce the FoMoE Ghost-Expert Skip-Token rule (0 remote FFN RPCs during inner steps).

🔹 Track 4 (HM-S8-05): Chunked Orthonormal DCT (DeMo) & 2-Bit SparseLoCo Wire Compression

• Literature & Reference: bloc97/DeMo (arXiv:2411.19870), one-covenant/SparseLoCo (arXiv:2508.15706), and PULSELoCo (arXiv:2602.03839).
• What to Implement Next:
  1. Add compress_lora_delta_dct_sparse_2bit and decompress_lora_delta_dct_sparse_2bit to src/hivemind/core/compression.py with 4-values-per-byte uint8 bit-packing (0.25 B/val, >= 16.0x wire reduction).

🔹 Track 5 (HM-S8-09): Inner-Loop Muon Newton-Schulz Orthogonalized LoRA Preconditioner (MuLoCo)

• Literature & Reference: Belilovsky, Horoi, Oyallon & Thérien (arXiv:2610.19064) & Thérien et al. (MuLoCo, arXiv:2505.23725).
• What to Implement Next:
  1. Wire MuonNewtonSchulzLoRAPreconditioner (SI-11) into run_diloco_inner_loop (src/hivemind/core/diloco_inner.py) and HiveMindWorkerNode.execute_workunit (src/hivemind/client/worker_node.py) via use_muon_lora_preconditioner: bool = False.

🔹 Track 6 (HM-S7-05 & HM-S8-10): Live /api/diloco-nextgen Command HUD & Formal Lean 4 Proofs (Theorems 91–100)

• What to Implement Next:
  1. Expose GET /api/diloco-nextgen on the Steam Command Center HTTP server (src/hivemind/game/steam_edition.py).
  2. Extend lean4/HiveMindSpec.lean from 90 to 100 machine-checked theorems (0 sorry, 0 user axioms).

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🛰️ 4. Season 9 (Wave 8) & Season 10 (Wave 9) GPU & HiveMind Swarm Contributor Tracks (v2.5.0)

All 6 Season 8 tracks (PRs #99–#109, 63/63 merged PRs) and the Season 9/10 core coordinator deliverables (HM-S9-01..06, HM-S9-08, HM-S9-13..14, HM-S10-01..02, HM-S10-05, HM-S10-08 + 128 machine-checked Lean 4 theorems with 128/128 #print axioms lines) are now live on main!

Contributors with consumer GPUs (NVIDIA RTX 20/30/40/50-series, AMD Radeon RX 6000/7000, Apple Silicon M1–M4) or cloud TPU/GPU nodes can now claim and run the 4 Season 9 & 10 GPU + HiveMind Swarm Campaigns (scripts/run_season9_10_gpu_swarm_campaigns.py):

Campaign / Track ID	Open Tasks & Research Gates	Target Subsystem & Runner	Recommended GPU Contributors	Symbolic Compute Credits (0.00 EUR/USD)
CAMP-S9-E5-QUORUM-RDA-GPU	HM-S9-01, HM-S9-05, HM-S9-13, HM-S9-14 (G1/G2)	src/hivemind/swarm/decoupled_diloco.py, src/hivemind/core/diloco_outer.py	@clark719664, @pedromineo, Open	+3,500 $HIVE / PTS
CAMP-S9-E7-SIGMA-LOOPED-MOE-GPU	HM-S9-02, HM-S9-03 (G1)	src/hivemind/core/btm_upcycle.py, src/hivemind/core/btm_moe.py	@clark719664, Open	+3,500 $HIVE / PTS
CAMP-S10-E11-LATTICE-KV-WIRE-GPU	HM-S10-01, HM-S10-05 (G1)	src/hivemind/compress/lattice_quantizer.py, src/hivemind/core/btm_moe.py	@radialmonster, @clark719664, Open	+3,500 $HIVE / PTS
CAMP-S10-E12-HETERO-SPOTCHECK-WAN-GPU	HM-S9-04, HM-S9-06, HM-S9-07, HM-S10-08 (G2/G3)	src/hivemind/boinc/validator.py, src/hivemind/swarm/dht_storage.py, scripts/run_e8_pilot_wan.sh	@radialmonster, @pedromineo, Open	+3,500 $HIVE / PTS