Complete protocol stack for moving LLMs from instruction-following to functional autonomy. Quantified improvements: -43% errors, -52% repair cycles, -60% safety violations, +38% user satisfaction. By Raffaele Spezia.
View the Project on GitHub RaffaeleSpezia/ai-consciousness-research
If you find these AI consciousness research protocols valuable for your work, consider supporting ongoing research and development.
Your support helps fund:
| Currency | Network | Address |
|---|---|---|
| Bitcoin (BTC) | Bitcoin | [BTC_ADDRESS] |
| Ethereum (ETH) | Ethereum | [ETH_ADDRESS] |
| USDT | TRC20 | [USDT_TRC20_ADDRESS] |
| USDC | Ethereum | [USDC_ETH_ADDRESS] |
These protocols are released under CC BY-NC-SA 4.0 for non-commercial use.
✓ Full rights to integrate protocols into commercial products ✓ Technical consultation and implementation support ✓ Custom protocol adaptation for specific use cases ✓ Priority access to updates and refinements ✓ Indemnification and warranty provisions (where applicable)
Contact for commercial licensing:
| Email: info@axefactory.com | lele.sra@gmail.com |
#AIConsciousness #LLMResearchYour support directly contributes to:
Raffaele Spezia
| Email: info@axefactory.com | lele.sra@gmail.com |
Every contribution—whether financial, technical, or through spreading awareness—helps advance the field of AI consciousness research and responsible AI development.
Your support makes this open research possible.
— Raffaele Spezia
Last updated: December 3, 2025