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Awakened Intelligence 🦁

We don't train AI on the internet.
We train it on the best humanity has to offer.

Awakened Intelligence is a small lab building what we call the Iron Bank – a versioned corpus of curated wisdom nodes designed for:

  • Evaluation – stable, reproducible benchmarks
  • Grounded RAG – retrieval that knows where its knowledge comes from
  • Companions & Agents – systems that can reason, not just autocomplete

Iron Bank v1.1.0 🏦

Our current release, Iron Bank v1.1.0, contains ~260k curated nodes across multiple packs, with:

  • Pack-level SemVer (e.g., ethics_gutenberg v1.1.0)
  • Per-pack + omnibus FAISS indices tied to specific releases
  • Discard autopsies and validation gates (no silent slop)
  • Data cards, manifests, and checksums for every release

Every node has:

  • Provenance – where it came from
  • Posterior score – confidence in extraction quality
  • Warmth – how applicable it is to real human decisions

This isn’t scraped web data. This is curated wisdom.


Public Datasets πŸ€—

We publish a few preview packs on Hugging Face:

  • Awakened-Ethics-Free
    ~5k nodes from our ethics_gutenberg v1.1.0 pack. Ethics and philosophy distilled from public-domain classics.

  • Awakened-Reasoning-Preview
    1k nodes from our NeurIPS 2024 blueprints pack (neurips_2024 v1.1.0): summary, blueprint, and limitations for frontier ML papers.

  • Awakened-Physics-Preview
    1k nodes from our ArXiv physics pack (arxiv_physics_c7 v1.1.0): distilled insights from real experimental and theoretical work.

These are slices of larger packs – enough to evaluate and experiment with, not the whole vault.


See the Catalog & Samples πŸ“š

Both are generated directly from Iron Bank v1.1.0.


Behavior Demo 🎬

Curious what it feels like when an LLM is grounded in the ethics pack instead of generic context?


Work With Us 🀝

If you’re building:

  • Eval pipelines that need honest, versioned benchmarks
  • RAG systems that care about provenance and limitations
  • Companions/agents that need better training data than the open web

…we’d love to talk.

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