Data retention cleanup assistant for small law firms

Small law firms are testing a new data retention cleanup assistant designed to streamline old matter file management and ensure compliant data practices.

Testing Setup Reviews Without Bias: How to Keep Roundups Informational

Guidelines for unbiased testing setups ensure fair, accurate roundups—discover how to maintain objectivity and trustworthiness in your reviews.

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

The traditional 90-day window for responsible vulnerability disclosure has effectively ended, with no notice sent by vendors or researchers, raising security concerns.

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 unpredictability.

732 Bytes to Root. One Hour of Scan Time.

A new Linux kernel privilege escalation bug was found using just one hour of AI-driven scanning, collapsing previous cost assumptions for zero-day exploits.

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

Every major AI R&D benchmark launched between 2023-2024 has reached saturation or is nearing it, indicating 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 over 60% probability that autonomous AI systems capable of self-innovation will emerge by 2028.

The Skills Marketplace, Six Months Later: Predicted vs Actual

Six months after predictions, the skills marketplace has grown significantly but remains fragmented, with top players dominating and structural challenges persisting.

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

Major regulatory bodies are conducting a structural audit of the compute substrate behind frontier AI labs, focusing on AWS, Azure, and Google Cloud.

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

Power constraints threaten AI data center expansion by 2027-2028, risking delays amid rising demand and slow grid upgrades, with significant industry implications.