LINE Pay自推電子支付服務「LINE Pay Money」12/3上線，明年1/1起與「iPASS MONEY」分手 - TNL The News Lens 關鍵評論網

台灣行動支付市場迎來巨變！擁有超過千萬用戶的LINE Pay將於12月3日正式推出自營的電子支付服務「LINE Pay Money」，並將於2026年1月1日起，全面終止與一卡通公司「iPASS MONEY」在App內的合作。

Wealthfolio | Open-Source, Offline & Private Portfolio Tracker

Wealthfolio is an open-source, private, and offline desktop portfolio tracker. Keep your financial data safe on your computer. No subscriptions, no cloud storage - just a straightforward tool to manage your wealth.

LLM Output Drift: Cross-Provider Validation & Mitigation for Financial Workflows

Financial institutions deploy Large Language Models (LLMs) for reconciliations, regulatory reporting, and client communications, but nondeterministic outputs (output drift) undermine auditability and trust. We quantify drift across five model architectures (7B-120B parameters) on regulated financial tasks, revealing a stark inverse relationship: smaller models (Granite-3-8B, Qwen2.5-7B) achieve 100% output consistency at T=0.0, while GPT-OSS-120B exhibits only 12.5% consistency (95% CI: 3.5-36.0%) regardless of configuration (p<0.0001, Fisher's exact test). This finding challenges conventional assumptions that larger models are universally superior for production deployment. Our contributions include: (i) a finance-calibrated deterministic test harness combining greedy decoding (T=0.0), fixed seeds, and SEC 10-K structure-aware retrieval ordering; (ii) task-specific invariant checking for RAG, JSON, and SQL outputs using finance-calibrated materiality thresholds (plus or minus 5%) and SEC citation validation; (iii) a three-tier model classification system enabling risk-appropriate deployment decisions; and (iv) an audit-ready attestation system with dual-provider validation. We evaluated five models (Qwen2.5-7B via Ollama, Granite-3-8B via IBM watsonx.ai, Llama-3.3-70B, Mistral-Medium-2505, and GPT-OSS-120B) across three regulated financial tasks. Across 480 runs (n=16 per condition), structured tasks (SQL) remain stable even at T=0.2, while RAG tasks show drift (25-75%), revealing task-dependent sensitivity. Cross-provider validation confirms deterministic behavior transfers between local and cloud deployments. We map our framework to Financial Stability Board (FSB), Bank for International Settlements (BIS), and Commodity Futures Trading Commission (CFTC) requirements, demonstrating practical pathways for compliance-ready AI deployments.

Tokenization: BlackRock's Larry Fink Says 'We're At The Beginning Of The Tokenization Of All Assets,' Promotes Necessity Of Digital ID To Form A Social Credit Score

"Small merchants who rely more on cashless payments with detailed and traceable paper trails get better access to working-capital loans. In effect, digital footprints are the new credit scores."

Why We’re Never Using Wise Again – A Cautionary Tale from a Business Burned – Shaun’s Data Diaries

The Lottery-fication of Everything

Parlays, zero day options, and perpetuals have gone mainstream. The world is getting stranger.

J.P. Morgan's OpenAI loan is strange

In October, OpenAI secured a 4 billion dollar revolving credit facility from J.P. Morgan and several other banks. I was surprised when I heard this because OpenAI is a young company with no earnings. Shouldn't all their capital come from investors? Let's run some numbers. From first principles Let's

This is a detailed breakdown of a FinTech project from my consulting career.

Project Description

Tech Things: Financing my Klarna Doritos Locos Taco

It's like a mortgage. For a taco.