The 90-Day Window Closed. Nobody Sent a Notice.

The 90-day window for responsible vulnerability disclosure has effectively ended without any notices from vendors, raising concerns about security risks.

732 Bytes to Root. One Hour of Scan Time.

A new Linux kernel vulnerability, CVE-2026-31431, allows root access with a 732-byte script, discovered in just one hour by Theori’s AI system.

Every Benchmark Launched 2023-2024 Has Fallen — The METR / SWE-Bench / CORE-Bench / MLE-Bench / PostTrainBench Sequence

Every major benchmark launched in 2023-2024 measuring AI research capability has reached saturation or is nearing it, signaling rapid progress in AI development.

The Co-Founder’s Black Hole — A Structural Read on Jack Clark’s Automated AI R&D Essay

Jack Clark predicts a 60%+ chance of fully automated AI research by 2028, raising concerns about institutional readiness amid converging technical trends.

Jack Clark Says It Out Loud — Reading the Co-Founder’s 60%/2028 Estimate on Automated AI R&D

Anthropic’s co-founder Jack Clark publicly estimates a 60% probability that autonomous AI systems capable of self-improvement will emerge by 2028, signaling a major policy stance.

The Skills Marketplace, Six Months Later: Predicted vs Actual

An analysis of the skills marketplace six months after predictions, highlighting confirmed developments, structural complexities, and future outlooks.

The Compute Concentration Audit: When Sovereign Wealth Funds Notice Three Companies Own the Frontier

Global regulators are investigating the concentration of cloud infrastructure among AWS, Azure, Google Cloud, and Meta, impacting AI development and investment strategies.

The Power Bottleneck: AI Data Centers and the Grid Cliff Approaching 2027-2028

AI data center growth faces a power supply crunch as grid expansion delays clash with hyperscaler capex commitments, risking deployment delays by 2028.

The New Personal Agent Layer

OpenClaw introduces the Personal Agent Layer, enabling persistent, action-oriented AI agents that operate across digital environments, marking a shift in AI capabilities.

The Continual Learning Research Map: Where the Memento Constraint Stands in May 2026

Research on the Memento Constraint reveals ongoing challenges in achieving genuine continual learning in AI, with progress expected by 2028-2030.