Sebastien Rousseau

FEED

Articles

Page 3 of 5 · 24 visible

APPLIED AI

Stablecoins vs Tokenised Deposits in 2026: What Banks Actually Need to Defend

Stablecoins and tokenised deposits converge around programmable settlement but diverge on balance-sheet, legal, liquidity, and trust models. The 2026 strategic question for banks is design discipline — which money model carries which client workflow — and how to defend deposit franchise, settlement role, and regulated brand against private-issuer competition.

APPLIED AI

Programmable Liquidity in 2026: AI, Tokenised Deposits, and Real-Time Treasury Orchestration

Programmable liquidity in 2026 connects AI forecasting, tokenised deposits, real-time rails, virtual accounts, stablecoins, and TMS into one orchestration layer for working capital. The strategic question for banks is design discipline: which data, rails, controls, liabilities, and client workflows belong together — and how to evidence the orchestration to clients and supervisors.

APPLIED AI

Agentic Payments in Banking: Consent, Liability, and the New Payment UX in 2026

Agentic payments crossed from concept to live transaction in 2026 — Mastercard and Rabobank executed a Netherlands AI-agent payment via Agent Pay, AP2-style cryptographic mandates are emerging, and HM Treasury says payment-services regulation must adapt. The banking architecture question is consent, identity, liability, and pre-settlement evidence.

APPLIED AI

Quantum-Safe Payments: Why the Industry Must Act Now

Modern payment infrastructure relies on public-key cryptography. RSA, ECC, and Diffie-Hellman. To authenticate transactions, protect cardholder data, and secure messaging between financial…

APPLIED AI

Quantum Lattice Crypto: Bug in Chen's LWE Attack

Following my recent article on the [Challenges in Quantum Algorithms for Lattice-Based Cryptography][00], I am compelled to provide an update on the latest developments in [Yilei Chen's research…

APPLIED AI

Advancing AI with Multimodal LLMs: Insights from MM1

The integration of natural language processing and image recognition has resulted in the development of Multimodal Large Language Models (MLLMs). In their paper, Apple introduces the MM1, a…

No articles match the current filters.