WFGY 3.0 · Singularity Demo (S131 effective-layer pack)

[onestardao]

This release introduces WFGY 3.0 · Singularity Demo,
an effective-layer scientific framework candidate built around an S-class pack of 131 hard problems.

These problems span mathematics, physics, AI, biology, climate, economics, governance, and philosophy.
They are not presented as solved results, but as auditable, reproducible tension-encoded structures
designed to be inspected, challenged, and stress-tested by both humans and AI systems.

Entry here

https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md

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What is included

• S-class 131 problem pack (S131)
  A curated set of long-standing and cross-domain hard problems, each encoded at the effective layer.
  No base axioms are claimed, and no classical open problem is asserted as solved.

• WFGY 3.0 Singularity Demo (TXT)
  A single TXT pack that auto-boots when loaded into a capable LLM.
  It exposes a strict menu for:

  • Quick candidate checks (GO)
  • Manual or AI-assisted SHA-256 verification
  • Guided missions on individual S-class problems
  • Exploratory and story modes (clearly marked as conditional)

• Explicit verification workflow
  File authenticity is determined only by SHA-256 matching against the official GitHub repository.
  No hash values are hardcoded inside the TXT.
  If AI-based verification fails (common on platforms that do not expose raw bytes),
  users are instructed to run manual SHA-256 verification via a Colab notebook.

• Reproducibility first
  No fine-tuning, no model weight changes.
  Only encoding, scoring, and evaluation structures at the effective layer.
  AI is treated as the fastest testbed, not as an authority.

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What this release does NOT claim

• This is not a proof of any classical mathematical or physical conjecture.
• This is not a declaration of scientific consensus.
• This is not a closed system.
  Every component is designed to fail fast if it is wrong.

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Who this is for

• Researchers who want a falsifiable, structured way to stress-test hard problems.
• Engineers exploring auditable AI reasoning and failure modes.
• Anyone curious whether a single structural language can span many domains
  without collapsing into ad-hoc storytelling.

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Getting started (60s)

1. Download the TXT pack from the repository.
2. Upload it to a flagship / deep-reasoning LLM.
3. Let it auto-boot and start with GO.
4. If verification is inconclusive, run manual SHA-256 verification via Colab.

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If you find this interesting or worth attacking,
star the repo, open issues, or try to break it.
If it survives scrutiny, it earns its place.
If it fails, it should fail early and clearly.

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This discussion was created from the release WFGY 3.0 · Singularity Demo (S131 effective-layer pack).