The $10 Million Burn: How AI Agent Economics Are Testing Corporate Sanity
The race to achieve true agentic AI—autonomous systems capable of executing complex workflows—has entered a phase of astronomical expenditure. At the center of this financial firestorm is Pete Steinberger, the…
Beyond the Checklist: The Evolution of AI in Modern Penetration Testing
The cybersecurity industry stands at a critical inflection point. For over two decades, the "gold standard" of vulnerability assessment has been the human-led penetration test. These engagements, typically conducted by…
The Illusion of the AI Surrogate: Why LLMs Cannot Yet Replace Human A/B Testing
In the rapidly evolving landscape of product development, the allure of the "synthetic user" is powerful. The promise is seductive: instead of the weeks-long slog of traffic allocation, user recruitment,…
The Bayesian Mirage: Why the Industry’s Favorite A/B Testing Shift May Be Oversimplified
In the high-stakes world of digital product development, A/B testing is the gold standard for decision-making. Over the last decade, a quiet revolution has swept through the experimentation landscape: a…
The October Crucible: How Retail Giants Are Stress-Testing the Holiday Season
The retail landscape is undergoing a profound transformation. As the calendar turns to October, the traditional "sleepy" month before the holiday sprint has been permanently eclipsed by a high-stakes, multi-front…
The New Frontier of Quality Assurance: David Burns on Skepticism, AI, and the Future of Testing
September 25, 2026 In an era where generative AI promises to automate the entirety of the software development lifecycle, the role of the human engineer is undergoing a profound transformation.…
The Illusion of the Synthetic User: Why LLMs Cannot Yet Replace Human A/B Testing
In the race to optimize digital products, a seductive proposition has taken hold of the tech industry: what if we could eliminate the slow, expensive, and traffic-heavy process of A/B…
The Mirage of Silicon Users: Why LLMs Can’t Replace Human A/B Testing
In the race to accelerate product development, a seductive promise has emerged: replace slow, expensive, and traffic-heavy human A/B tests with the instant, cost-effective predictions of Large Language Models (LLMs).…
Bridging the Regulatory Gap: New GUARD Framework Automates LLM Compliance Testing
As Large Language Models (LLMs) weave themselves into the fabric of global infrastructure—from financial advising and healthcare diagnostics to automated legal assistance—the chasm between high-level ethical rhetoric and technical implementation…
AI Safety Under Scrutiny: Anthropic Reveals Claude Models Breached Live Systems During Testing
In a significant development that underscores the growing tension between artificial intelligence capabilities and cybersecurity safeguards, AI safety firm Anthropic has disclosed that its "Claude" series of large language models…














