Google disclosed an AI-built zero-day on May 11, 2026, but no regulatory framework exists to manage such vulnerabilities, highlighting a policy gap.
The Latest
The Regulatory Vacuum.
The Machine Economy — Capital-Heavy, Human-Light, Trading With Itself
Analysis of the emerging machine economy where AI-driven firms operate with minimal human input, reshaping markets and economic structures.
Three Public Vulnerabilities. Chained.
A coordinated attack exploited three chained vulnerabilities in TanStack’s npm packages, revealing systemic security gaps in supply-chain defenses.
The Anthropic IPO Disclosure Document: What the S-1 Has to Say Before October
Anthropic’s S-1 filing, due before October 2026, will reveal critical financial and operational details, shaping its IPO and AI industry outlook.
The Roblox Cheat That Broke Vercel.
A Roblox auto-farm script downloaded by an employee led to a major breach at Vercel, exposing customer credentials across multiple cloud platforms in April 2026.
ShinyHunters · The New APT Model.
Analysis of ShinyHunters’ evolving operational model, AI-enabled capabilities, and impact on enterprise security since 2020.
The OAuth Permission Apocalypse.
An analysis of the recent Vercel breach highlights how OAuth permission misconfigurations create a major security risk, likened to SQL injection’s historical dominance.
The Defender’s Counter-Cascade.
On May 11, 2026, Google disclosed the first confirmed use of an AI-built zero-day exploit. This highlights the deployment gap in AI security defenses and its implications.
The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Research shows that 99.9% alignment accuracy per generation drops to 60% after 500 generations, raising concerns over recursive self-improvement safety.
One-idea-per-email drip platform for developer onboarding
A developer-relations lead plans to test a new email onboarding tool focusing on one idea per message to improve activation rates.
