Proposal: Open Cognitive Core Project - Pure Hardware AI Co-Processor

[mathcode220-math]

Hello Community,

We have officially launched an open-source hardware initiative protected under the GNU GPLv3 license: the "Open Cognitive Core Project" (OCCP).

Instead of relying on expensive, proprietary cloud GPUs or heavy local software wrappers, we are proposing a design for a low-cost, dedicated co-processor (ASIC/FPGA architecture) that hardwires pure abstract AI logic and mathematical foundations (like matrix multiplication and attention mechanisms) directly into silicon logic gates.

By decoupling the "Hardwired Logical Core" from the local "Software Personalization Layer," this architecture allows consumer-grade devices to run open models locally with zero-latency, minimal energy consumption, and 100% data privacy.

The core architecture overview and vision are live on GitHub:
https://github.com/mathcode220-math/open-cognitive-core/blob/main/README.md

We would highly value technical feedback, collaboration, or advice from hardware engineers and maintainers in this community on how to optimize this architecture for open-source silicon tools.

Best regards,
OCCP Core Team