Research shows that 99.9% alignment accuracy per generation drops to around 60% after 500 generations, raising concerns over recursive self-improvement safety.
One-idea-per-email drip platform for developer onboarding
A developer-relations lead is testing a new email drip platform that delivers one technical idea per email to improve onboarding activation.
Data retention cleanup assistant for small law firms
A new data retention cleanup assistant for small law firms is set for initial testing, aiming to streamline old matter file reviews and improve compliance.
The Co-Founder’s Black Hole — A Structural Read on Jack Clark’s Automated AI R&D Essay
Jack Clark predicts over 60% chance of fully automated AI research by 2028, raising concerns about institutional capacity and future risks.
732 Bytes to Root. One Hour of Scan Time.
Theori disclosed a 732-byte Linux privilege escalation exploit that can achieve root access in seconds, surfacing via AI-driven scanning in one hour.
The 90-Day Window Closed. Nobody Sent a Notice.
The 90-day responsible disclosure period has closed without any notices from vendors, raising concerns about AI-driven vulnerabilities and security gaps.
Every Benchmark Launched 2023-2024 Has Fallen — The METR / SWE-Bench / CORE-Bench / MLE-Bench / PostTrainBench Sequence
Every major AI research benchmark launched between 2023-2024 has reached or is nearing saturation, signaling rapid progress in AI capabilities.
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.
The Skills Marketplace, Six Months Later: Predicted vs Actual
Six months after predictions, the skills marketplace has grown to over 4,200 skills, with significant fragmentation and top-tier dominance, shaping the AI agent economy.
The Compute Concentration Audit: When Sovereign Wealth Funds Notice Three Companies Own the Frontier
Global regulators are investigating the dominance of AWS, Microsoft Azure, and Google Cloud over AI compute infrastructure, impacting frontier AI labs.