FBI employees shared a PowerPoint presentation in the summer of 2025 covering the Epstein case, including a slide about 11 ...
Reading an Arabic newspaper, a book, or academic prose fluently, whether digital or in print, remains challenging for many ...
To help you explore these facets of your own psyche, I’ve developed a science-inspired assessment, The Anti-Hero Test. You can take it here to discover which iconic fictional antagonist mirrors your ...
Small creators are increasingly relying on website-based learning tools to share knowledge and build steady revenue streams. While features and ease of use matter, understanding how pricing works is ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on large datasets. Therefore, they produce strong accuracy. However, their ...
Neel Somani, whose academic background spans mathematics, computer science, and business at the University of California, Berkeley, is focused on a growing disconnect at the center of today’s AI ...
The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand those machines when they don't.
The capitalists driving financialization and promoting its results have become capitalism’s worst enemy. Every consumer and ...
Ahead of the 2026 High Limit Racing season, which begins next month at Las Vegas Motor Speedway on March 12-14, officials ...
Financialization is a grift, a rarified form of bookmaking, of no net value to workers and consumers, the economy, or society as a whole. Let’s treat it accordingly. Economists and the news media can ...
The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset available to the institution. Moving AI decisioning closer to this data ...
Opinion
Morning Overview on MSNOpinion

AI godfather warns LLM-based business tools are doomed to fail

Warnings from one of artificial intelligence’s most influential pioneers are colliding with a harsh business reality: most corporate AI projects already fail. When the so‑called “godfather of AI” ...