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Dobromir Popov
2026-07-13 18:14:21 +02:00
parent 180a7674e6
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.scratch/alpha-hardening/handoff.md
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## 1. Mission / where we are
neuron-tai is a volunteer-GPU, pipeline-parallel LLM inference network with a working routing layer and a **broken money/trust path**. Three independent audits agreed: unauthenticated gossip, free-credit faucet, double-pay risks, ephemeral bans, and node self-reported accounting undermine alpha release. The owner locked alpha scope (single settlement tracker, open node join, devnet mock-USDT, carried-forward reputation) and a fraud/verification design (TOPLOC adoption, adaptive audits, on-demand hop bisection, persisted graduated reputation, tracker-authoritative accounting). **Research and planning artifacts are complete** (ADRs 0016–0019, 22 issue files, README index). Next: implement Bucket 1 blockers test-first.
neuron-tai is a volunteer-GPU, pipeline-parallel LLM inference network with a working routing layer. Pre-release audits found the money/trust path was not alpha-ready; **Bucket 1 alpha blockers are implemented** (see `.scratch/alpha-hardening/README.md`). Remaining launch gates: issue **21** (human calibration run), post-alpha Bucket 2 (12–15), and active scratch tracks (NCA, perf, distributed GGUF).
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| Path | What it contains |
|---|---|
| `.scratch/alpha-hardening/README.md` | Issue/ADR index + implementation order |
| `.scratch/alpha-hardening/issues/` | 22 work items (Buckets 1–3) |
| `.scratch/alpha-hardening/issues/` | 25 work items (Buckets 1–3 + perf follow-ups) |
| `.scratch/alpha-hardening/research-verifiable-inference.md` | SOTA research, layered alpha scheme (§8), build-vs-adopt (§9) |
| `docs/adr/0016–0019` | Alpha scope, auth, fraud, multi-tracker design |
| `docs/agents/issue-tracker.md` | Issue file conventions |

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.scratch/alpha-hardening/issues/21-honest-noise-calibration-corpus.md
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**Launch context (why this is buildable now, not a research project):** first-launch nodes are hired VPS/VPC hosts under our own direct control (test infrastructure we pay for, not third-party volunteers) — not a long-term topology, but risk-free for calibration purposes since there's no external party to dispute a bad reading. Friends are client-side users of the API in this phase, not node operators. Run the calibration pass against this small, fully-controlled fleet first; hired hosts stay stake-free until it's done, then move to real staking once thresholds derive from their own hardware.
**Current gap (confirmed 2026-07-06 by code read):** none of the three pieces below exist yet.
**Current gap (historical — closed 2026-07-06):** the three engineering pieces below were missing when this issue was filed; all are now implemented and unit-tested. Remaining work is the human calibration run on the live hired-VPS fleet.
1. `verify_activation_proofs()` (`packages/validator/meshnet_validator/audit.py:94-127`) returns a **plain bool** — no raw TOPLOC divergence/distance value is ever computed or surfaced. Every "done" fraud-detection issue (06–10) currently runs on a guessed threshold baked into that bool, not a calibrated one.
2. Fleet dispatch exists but is the wrong shape: `_handle_benchmark_hop_penalty` / `_handle_benchmark_results` (`packages/tracker/meshnet_tracker/server.py:2998-3104`, from the old US-030 latency work) targets pinned 1–3-node *routes* and measures latency, not TOPLOC divergence across *every* registered node.