v1.0.0 - honest demotion to research proof-of-concept
This release is an honest repackaging, not a capability announcement.
What changed
- PROJECT_STATUS.md added at repo root: states plainly that ARC-AGI accuracy is ~2-5% on 100-task subsets, the symbolic reasoning engine does not yet perform, and this is NOT an ARC Prize submission.
- README rewritten to remove "solves ARC" / "AGI architecture" / "submission-ready" language. New framing: GPU compute-shader playground.
- Installable package
arc2-chimera(Apache-2.0) exposing the reusable shader primitives: matmul, GELU, diffusion, cellular automaton, holographic memory. - CLI:
arc2-chimera info(prints disclaimer),arc2-chimera evaluate(runs one ARC task; falls back to an identity baseline if the GPU engine is not available, rather than pretending to solve). - Offline pytest suite (12 tests, all passing).
CHIMERA/arc_chimera_submission.pymoved toarchive/submission_unverified.pywith aNOT VALID FOR ARC PRIZE 2025banner.- Windows cp1252 UnicodeEncodeError fixed in existing test.
What did NOT change
- The symbolic reasoning engine's accuracy. It is still ~2-5%.
- Existing code paths in CHIMERA_ARC_OpenGL v5-v10, CHIMERA_ENIGMA, CHIMERA_RIVER. They are kept for historical reference.
Reusable value
The GLSL compute kernels and the GPU-texture state loop. That part works.