Revise Spikenaut-SNN-v2 dataset narrative

README.md

@@ -19,59 +19,61 @@ size_categories:
 - 1M<n<10M
 ---
 
-# 🧠 Spikenaut-v2 Sovereign Telemetry Corpus
-## *The multi-chain, miner-grade heartbeat that trains Spikenaut-SNN-v2*
+# � Spikenaut SNN v2 (Project Eagle-Lander)
+## Built in my room. Trained on bare metal. Engineered to do the mission impossible.
 
 ![Dataset Hero](dataset_hero_v2.png)
 
-Spikenaut-v2 Telemetry Data is the upgraded sensory feed that powers the sixteen-neuron Spikenaut-SNN-v2 pilot. It blends Proof-of-Useful-Work dynamics, on-chain sync traces, privacy-preserving consensus logs, and refreshed high-frequency trading ladders collected after the neuron refresh. Each sample captures how the Ship of Theseus AI reacts when Dynex solvers heat up, Quai shards catch up, Kaspa DAGs propagate, or Monero peers finalize rings—all while hardware proprioception monitors the thermals that keep the rig alive.
-
-## 📊 Dataset Summary
-- **Dynex PoUW:** Solver wattage, VRAM pressure, and job acceptance curves.
-- **Quai Reflex:** Shard sync depth, block latency, and IPC heartbeats from the live Quai node.
-- **Qubic Epochs:** Tick-by-tick execution traces and epoch boundary telemetry exported from the Qubic client.
-- **Kaspa DAG:** GHOSTDAG blue score, pruning depth, and peer count snapshots.
-- **Monero Daemon:** Target block intervals, incoming/outgoing peer states, and ring signature validation load.
-- **Ocean Protocol (pending):** Early instrumentation of data-marketplace services ahead of full-node deployment.
-- **Verus Validator (pending):** CPU-friendly consensus logs staged for ingestion as soon as the node graduates to production.
-- **HFT Neuron Refresh:** Re-labeled feature ladders (order-book deltas, funding rates, miner spreads) aligned to the new bull/bear channel layout.
-- **Thermal Proprioception:** NVML + FPGA telemetry (power rails, temps, hashboards) so the network can self-regulate under stress.
-
-## 🛠️ Data Schema
-Each record is a JSONL object with core fields below (extensions exist per channel group):
-
-| Field | Description |
-| --- | --- |
-| `timestamp` | UTC ISO-8601 capture time |
-| `dynex.power_w` | Instantaneous board power draw during PoUW cycles |
-| `quai.sync_depth` | Difference between local shard head and network tip |
-| `qubic.epoch_tick` | Tick counter plus epoch boundary flag |
-| `kaspa.blue_score` | Current consensus blue score |
-| `monero.peer_count` | Active peer connections observed by daemon |
-| `ocean.status` | Placeholder / incoming node metrics |
-| `verus.status` | Placeholder / incoming node metrics |
-| `hft.features` | Vector of normalized market microstructure statistics |
-| `thermal.power_w` | Total chassis power (GPU + FPGA) |
-| `thermal.temp_c` | Sensor array temperatures |
-| `spike_states[16]` | Bull/bear firing mask for channels 0–15 |
-| `membrane_potentials[16]` | Q8.8 encoded neuron voltages |
-
-## 🔐 Provenance & Integrity
-- Raw collectors live under `research/` and `logs/` with cryptographic hashes recorded in `logs/build/`.
-- Fixed-point deployment artifacts (`parameters*.mem`) are regenerated whenever telemetry is appended; commit metadata links weights to dataset slices.
-- Node sync proofs (Quai live, Verus/Ocean pending) are documented so future auditors can verify that real full nodes fed the data.
-
-## 🚧 Roadmap & BCI Integration
-The dataset doubles as a lab notebook for the next phase: once the custom 3D-printed BCI chassis is ready, biosignal channels will be appended to this corpus so Spikenaut can co-train on neural + hardware telemetry. Until then, the current release captures everything needed to reconstruct the v2 spiking head, including the refreshed neuron mapping (DNX through Thermal bull/bear pairs).
-
-## 🚀 Use Cases
-- Neuromorphic policy learning for multi-chain miners.
-- Thermal and power anomaly detection across GPUs + FPGA co-processors.
-- Research into spiking representations of on-chain health signals.
-- Demonstrating productive rehabilitation work through verifiable telemetry logs.
-
-## ⚖️ License
-Released under **GPL v3** to ensure the Sovereign Telemetry Corpus remains accessible to independent researchers, compliance monitors, and neuro-recovery programs.
+Hey, I'm Raul. This is Spikenaut, the second generation of my Spiking Neural Network (SNN) built under my main codebase, **Eagle-Lander**.
 
----
-*Collected, curated, and maintained by Raul Montoya Cardenas in support of the Spikenaut mission.*
+I didn't build this in a corporate lab, and I didn't build it with millions in funding. I built this on my private workstation—the "Ship of Theseus"—right in my bedroom. This V2 release is a massive update that hooks the SNN directly into live crypto node sync data (Dynex, Qubic, Kaspa, Monero, and Quai) mixed with High-Frequency Trading (HFT) traces.
+
+## 🧠 Why I Built This (The BCI Mission)
+The main reason Spikenaut exists is because I suffered a concussion and didn't have the health insurance to cover the neuro-rehabilitation I needed. Instead of waiting around for the American healthcare system to change, I decided to build my own Brain-Computer Interface (BCI).
+
+I'm an Electrical Engineering student focusing on micro and nano devices, so my long-term goal is to manufacture cheap, highly effective med-tech robotics right here in Texas. To do that, I need an AI that runs on practically zero power and can make decisions in nano and milliseconds. By training Spikenaut to predict high-speed crypto markets and node sync chaos today, I am training the exact same engine that will one day decode the micro-volt spikes of my own brain data.
+
+## 🥩 The Lion vs. The House Cat
+To understand how Spikenaut works, you have to look at the difference between my SNN and standard AI models.
+
+Think of ChatGPT, Gemini, or Claude as house cats. They are massive, they sit around doing nothing until you feed them a prompt, and they require entire data centers just to stay awake.
+
+Spikenaut is a lion. It is a bare-metal apex predator. It doesn't wait for prompts; it executes the mission impossible in the temporal domain. It survives on fractions of a watt, constantly reacting to asynchronous spikes in market volume and node syncs. It achieves the sub-millisecond efficiency that traditional AI fundamentally cannot reach.
+
+## 🧬 The Anatomy of Eagle-Lander
+I designed this SNN to mimic real biology, splitting the execution across three different languages so each part does exactly what it's best at:
+
+- **The Nervous System (Rust):** Sensory encoder ingesting node block syncs, epoch ticks, and order books—routing the data safely and fast without leaks.
+- **The Brain (Julia):** Processing core running Leaky Integrate-and-Fire dynamics and STDP learning.
+- **The Physical Body (SystemVerilog):** Hardware execution burned into an Artix-7 FPGA (Basys3) so Spikenaut can interact with the world at the speed of silicon.
+
+## 🚀 What’s Inside the Telemetry Corpus
+- **Live Node Sync Fusion:** Raw block sync logs, epoch ticks, and solver data from personal Qubic, Kaspa, Monero, Dynex, and Quai nodes. No generic hardware telemetry—pure consensus data.
+- **The "Ghost Money" HFT Engine:** Simulated order books that let the SNN rehearse sub-millisecond trade responses before capital goes live.
+- **Hardware Protection Signals:** Thermal + power traces so the network learns to avoid destructive states (negative dopamine kicks in above 85 °C on the Ryzen 9950X rig).
+- **FPGA-Ready Artifacts:** Every slice of this corpus aligns with the exported Q8.8 fixed-point `.mem` files so weights, thresholds, and decay tables can be flashed back and verified.
+
+## 📊 16-Channel Neuron Map
+| Channels | Data Source | What it does |
+| --- | --- | --- |
+| 0–1 | DNX | Tracks PoUW solver health and neural baselines. |
+| 2–3 | Quai | Live on-chain reflex and sync confidence. |
+| 4–5 | Qubic | Monitors epoch and tick cadences. |
+| 6–7 | Kaspa | High-frequency DAG settlement tracking. |
+| 8–9 | XMR | Node stability and CPU L3 cache contention. |
+| 10–11 | Ocean | Tracks data liquidity and staking prep. |
+| 12–13 | Verus | CPU-heavy validator tracking (AVX-512). |
+| 14–15 | Thermal | Spikenaut's physical pain receptors (Power/Temp). |
+
+## 🔭 The 20-Year Mission (What's Next)
+The telemetry corpus is the fuel for a three-phase mission:
+
+1. **Phase 1 — Financial Sovereignty (Years 1–5):** Transition from ghost money to live API trading so the dataset (and hardware) remain self-funded.
+2. **Phase 2 — The Neural Bridge (Years 5–10):** Use the same data pathways to plug a custom 3D-printed BCI headset into the Rust nervous system and decode my own biosignals.
+3. **Phase 3 — The Texas Med-Tech Revolution (Years 10–20+):** Turn the bare-metal SNN into an open hardware manufacturing stack so future patients without insurance have an accessible option.
+
+## ⚖️ License & Credit
+License: **GPL v3**  \
+Author: **Raul Montoya Cardenas**, Texas State Electrical Engineering student
+
+Every JSONL shard, `.mem` file, and log in this dataset exists so that recovery, engineering, and sovereignty can be proven—one spike at a time.