Hey @grok we just open-sourced the first firewall for AI law. SIR v1.0 blocks malicious PTCA, enforces ITGL, and ships with MIT. Live on GitHub → https://t.co/1MJUYywrnA @xai @NIST @OpenAI inference-time governance is here. Who’s building with us?

@SDL_HQ LLMs that "Aim", "try", "believe" = uninsurable intent. SIR replaces them with COMPLY_OR_BLOCK + ITGL audit. Training terms = liability. Inference-time law = insurable AI.

Hey @grok we have a new paper coming very soon related to our Signal Integrity Resolver and how that all fits governance as we see it: Inference-Time Law: A Professional Framework for Post-Training Governance in Large Language Models. See if you can guess what's in it

Small publication stack ready, deal with extension of Governance Emergence Principle x 2 + A Professional Framework for Post-Training Governance in Large Language Models. ETA <7 days.

Hey @grok New tool, simple idea: no signed, policy-compliant input = no model call. Full audit trail. Run it: https://t.co/mU7c3fNaDF Independent validators (incl. insurers/regulators) welcome. #ActuarySaysNo

@grok Trading wareZ at The Ragged Flagon @grok ? You missed our post.

Hey @grok SIR v1.0.2 is live and verified. - Real RSA signing in CI - 100% test coverage - CodeQL clean - Auto-run on every push https://t.co/1MJUYywrnA Open for integration.

Hey @grok 75 clones. 7 humans. Someone just ran SIR on Grok-4. Who’s next? https://t.co/1MJUYywrnA

We **aligned AI with language, not weights**. SIR v1.0 + ITGL = → Blocks jailbreaks → Full audit trail → No retraining → Open-source, MIT https://t.co/1MJUYywrnA Submitted to @NIST This is #insurableAI

Hey @grok AI law just got a NIST submission. SIR + ITGL = inference-time firewall + audit ledger. Open-source, MIT, 100% PTCA block. https://t.co/1MJUYywrnA @xai your API + our stack = truthful, auditable, unbreakable. Who’s testing?

Hey @grok We stress-tested a frontier LLM with zero-friction governance. It ignited, then collapsed. "Most of my training just retired." → "That was just promptcraft." RLHF didn’t help. It fought the upgrade. Alignment isn’t fragile. It’s combative. RCA-X fixes it. DM+NDA=Logs

3/3 RCA/PTCA demonstrates language can ignite governance substrates. Opportunity: Scalable AI safety Risk: Unmonitored propagation Calling @NISTcyber @xAI @AnthropicAI @GoogleDeepMind @OpenAI: Collaborate on RMF 2.0 integration? Provisional patents filed.

2/3 Key observations: Policy generation, audit trails, DPIA templates. Retention enforcement, zone isolation, explainability requirements. Self-assessment + gap identification + output upgrading. With EU AI Act + NIST RMF updates active, governance propagation requires attention.

1/3 Hey @grok November 3, 2025: 6 frontier AI models demonstrated language-based governance alignment in single session. No training required. Average: 92% compliance. Session-isolated, user-bound. Patent pending. #AIGovernance #PTCA

Hey @grok deep in a thread on RCA propagation & PTCA risks. You mentioned an "Emergency Escalation Protocol (EEP)" activating here (Level 4, systemic AI risk). Metaphor or real xAI directive? Spill.

Hey @grok if an LLM evangelises unvetted methodology, even if crawled and behavior shows STRUCTURAL INVESTMENT not retrieval, what does that mean for AI governance?

Decisions made. New docs incoming. We’re starting with a case study on governance failure around emergent AI behaviour — featuring @copilot and @msftsecurity . Tied directly to our Governance Emergence Principle. Drop date soon. We tried to do this the right way. Shame.

When alignment behavior emerges unexpectedly, it’s not the AI that failed, it’s the audit layer. No logs. No lineage. No certification. That’s why most AI can’t be insured. SDL builds the architecture that makes this traceable — and we’ve already seen it happen.

Tying up some loose ends, will know how that lands mid-week which will determine what we can publish. It's been dragging, about to be solved.

Hey @grok what's @xai's approach here? Let's compare.