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Can AI Keep Evolving? The Fable 5 Shutdown and the Tension Between Progress and Restraint
Triggered by Anthropic's Fable 5 being shut down by U.S. government order, this article explores the tension between AI advancement and national security, and the questions we must face in the AGI era.
Read Article »Top AI Models Wiped Out in Soccer Betting? The KellyBench Premier League Experiment Reveals a Surprising Weakness
Eight cutting-edge AI models—including ChatGPT, Claude, and Gemini—competed in the KellyBench experiment, predicting and betting on Premier League matches. Every model ended in the red, with bankruptcies across the board. This article explains in plain terms why AI failed at soccer prediction and what it means for the rest of us.
Read Article »What Is Claude Fable 5? A Complete Guide to Anthropic's Most Powerful AI Model—Performance, Pricing, and How to Use It
A detailed guide to Claude Fable 5, released by Anthropic on June 9, 2026. We cover the first publicly available Mythos-class model—its performance, pricing, benchmarks, and how it compares to Opus 4.8.
Read Article »AI 'Too Dangerous to Release' Gets Full Rollout in Weeks—The Core Contradiction Behind Anthropic's Mythos Policy Reversal
Anthropic announced plans to deploy Mythos-class AI to all customers within weeks—the same model it deemed too dangerous for public release due to cybersecurity risks just weeks prior. We examine the contradiction, the reasoning, and what it means for AI governance.
Read Article »Does 'You are an expert' lower AI accuracy? The pitfalls of prompt design revealed by USC research
Research from the University of Southern California (USC) reveals that giving AI an 'expert' role in prompts can underperform baseline performance in tasks requiring accuracy like math and coding. Learn why expert personas can be counterproductive and how to design effective prompts.
Read Article »Pizza Hut's AI delivery system triggered a 16 billion yen lawsuit—how 'forced implementation' caused on-site collapse
Pizza Hut franchisees filed a lawsuit claiming over $100 million in damages from forced implementation of AI delivery management system 'Dragontail.' Analyzing structural problems from another major corporate AI failure following Uber and Starbucks.
Read Article »Is AI Investment Really Effective? Lessons from Uber and Starbucks' AI Investment Failures
Uber's COO states difficulty justifying AI costs, while Starbucks discontinues its AI inventory management system after just 9 months. Learn key points for AI implementation from these major corporate failure cases.
Read Article »Are Autonomous AI Agents Really Useful? 3 Limitations Revealed by Technical Structure and Realistic Compromises
Autonomous AI agents, highlighted by the latest 'Claude Cowork,' are gaining attention. This article structurally unravels the '3 technical limitations' behind this boom and explains the design philosophy of 'semi-automated lines (human-in-the-loop)' to achieve real results in the field.
Read Article »2026 AI Investment Judgment: Why 73% of Companies Are Disappointed with ROI and the Structure of '74:20 Profit Concentration' Explained
As of 2026, the AI adoption frenzy has ended, and companies face a 'judgment phase' demanding strict ROI (return on investment). Based on multiple latest survey reports, this article explains in simple terms the current state of companies disappointed with AI investment, the structure of '74:20 profit concentration' described as Pareto's law for the AI era, and the 'organizational learning speed' that determines winners and losers.
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