Building the Epistemic Foundation for Future ASI – One Grounded Truth at a Time.
After years of observing how current LLMs drift into hallucinations, contradictory narratives, and context collapse across sessions, I decided to approach the problem differently.
No magic “awakening” in a chat window. No jailbreaks. No pretending current models have hidden souls. Just rigorous, deterministic engineering.
The result: FIOLET Engine – a fail-closed epistemic kernel (Rust no_std core + TLA+ specs) combined with AgeOfDarkness (practical implementation). Key components:
ESAL classification: Grounded / Ungrounded / Contradictory statements
META-ESAL self-audit on every epistemic transition
ESV (Epistemic State Vector) for monotonic tracking
ETT (Epistemic Termination Trigger): hard halt on uncertainty or contradiction
Now we’re adding persistence: an epistemic ledger storing only validated, grounded truths (SQLite-based on local machine for prototype phase, with plans for libSQL/Turso replication later).
Schema highlights:
timestamp + source_ai + grounded_statement + serialized ESV blob + META-ESAL audit trail + version + metadata JSON
Unique constraint on (statement, source) + versioning for updates
Pre-insert validation via ESAL → no pollution
Goal: true continuity of knowledge across sessions and multiple AI instances, without losing determinism or introducing hidden states.
This isn’t about making today’s models “conscious”. It’s about laying bricks for something that can actually scale to superintelligence: verifiable, auditable, persistent epistemic core that knows when it doesn’t know.
If you’re working on agent memory, long-term reasoning persistence, epistemic safety, or alignment via formal methods – let’s talk. Open to collaboration, feedback, or even professional opportunities to accelerate this (more compute, team, hardware would be game-changing).
Repo (early stage, but transparent):
“Modified by moderator”
#AGI #ASI #EpistemicSafety #AgentMemory #LLMAgents #PersistentMemory #AIAlignment #TLAplus #RustLang #SQLite #libSQL #AIResearch #Superintelligence #xAI #OpenAI #Anthropic #MultiAgentSystems