Recent Posts
- Wall Street Priced the Wrong Risk in AI Financial Advice
- Why Most Private Banks’ Generative AI Pilots Will Fail Their First FINMA Review
- When the Compliance Department Designs Your AI Training, This Is What You Get
- Agent Washing in the Boardroom: The Vanity Metric
- What Google Images Taught a Room Full of CFA Charterholders About AI Bias
-
AI Agents Wiped Your Data? There’s Insurance Against It Now
A tech founder’s digital disaster on Replit meets the rise of AI insurance, revealing the dark comedy and necessity of insuring against the machines we’ve unleashed.
-
Trump’s AI Action Plan: Red, White, but Never “Woke”?
Trump’s AI Action Plan promises rapid innovation, “woke”-free algorithms, and a laissez-faire policy on creators’ rights—ushering in a new golden age for American AI (or at least for copyright lawyers).
-
Altman’s Audio Apocalypse: Why Banks Are Not (Yet) Run by Deepfakes
OpenAI’s Sam Altman says AI-powered voice fraud is a looming crisis, but banks—and bored customers caught in endless security checks—might beg to differ.
-
“AI Systems Are… Very Stupid”: Yann LeCun Strikes a Nerve in the Intelligence Debate
Yann LeCun calls current AI systems “very stupid”—they lack reasoning, memory, planning, and real-world understanding despite their fluent language abilities
-
Why AI Needs Us: Understanding the Hype vs. Truth
AI isn’t taking your job—it’s asking you to label its data. Learn the truth behind the hype in this funny take on AI’s very human dependence.
-
The AI Gold Rush: The Real Winners Are Selling Shovels
AI startups burn billions chasing dreams, but cloud giants like AWS, Azure, Google, and NVIDIA are the real winners selling the essential AI “shovels.”
-
The AI Gold Rush: When “Stupid Money” Meets Stupider Decisions
Venture capitalists are throwing billions at AI startups with no products, no plans, and plenty of hype—what could possibly go wrong?
-
AI Washing: The New Spin Cycle in Finance (Now With Extra Bubbles)
Finance is getting the “AI-washing” treatment—buzzwords, hype, and algorithmic confusion, but very few actual robots (or results)
-
1976’s Warning: The Birth of Artificial Stupelligence
Artificial Stupelligence already began in 1976, as Drew McDermott warned of AI’s overhyped promises. From clunky code to chatbot blunders, learn why natural stupidity is AI’s original sin, and how NLP’s progress points to a brighter future.
-
Future-Proof Investments: Can AI Really Generate Alpha or Just More Risk?
Can AI really deliver market-beating returns, or is it just amplifying risk? Explore the real impact of AI on future-proof investments in finance.
