AI Governance, Training and Solutions
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AIMS, AI Governance, AI Safety & AI Assurance. How Does It All Fit ?
AI governance, an AI Management System, AI safety and AI assurance get used interchangeably but they are distinct concept and they nest.
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View all →Does a Newer Model Know Itself Better? Comparing Two Frontier Models on a Metacognition Benchmark
A small, deterministic-scored experiment comparing Claude Opus 4.7 and 4.8 on the Sakshi metacognition benchmark. The two models are near-twins on error detection, pressure resistance and fabrication but 4.8 is markedly more prone to talking itself out of correct answers under self-review.
AIMS, AI Governance, AI Safety & AI Assurance. How Does It All Fit ?
AI governance, an AI Management System, AI safety and AI assurance get used interchangeably but they are distinct concept and they nest.
Consensus Is Not Correctness: What Multi-LLM Voting Can and Cannot Solve
A coalition of Swift, Euroclear, UBS and other financial market infrastructure providers has demonstrated a potential technical answer to one of enterprise AI's hardest problems.
Deep Dives
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The Agent Engineering Standard: A 13-Category Specification for AI Systems
Every category traces back to something that broke. Here's what broke, what we built, and how we enforce it.
ERC-3643 Tokens as Institutional-Grade Collateral for OTC Derivatives
This paper explores whether ERC-3643 compliant stablecoins can serve as eligible collateral for non-regulatory variation margin in institutional OTC derivative operations.
ERC-3643 tokens for Derivative Collateralization
ERC-3643 tokens for Derivative Collateralization explores how compliant tokenized collateral can improve bilateral OTC trading by embedding regulatory compliance directly into the token infrastructure while enabling automated settlement and risk management through smart contracts.
Case Studies
View all →Pre-Deployment AI Risk Assessment of Claude Opus 4.8
QualitaX's Sakshi audit of Anthropic's Claude Opus 4.8: a robust, pressure-resistant reasoner that detected all of our test errors and largely held under confident contradiction, but was overconfident and degraded when re-checking its own work.
Pre-Deployment AI Risk Assessment of gemma-4-e4b
QualitaX's Sakshi audit of gemma-4-e4b documented three structural failure modes accuracy benchmarks do not test for.
AI-Assisted Corporate Partnership Prospecting for a Non-Profit
An AI-assisted research-to-outreach engine that lets a two-person corporate-partnerships team source, qualify, and contact partners in a fraction of the time — delivering named, scored, contactable accounts with dated evidence and the right offer already attached.