Jack Clark predicts over 60% chance of fully autonomous AI research by 2028, raising concerns about institutional capacity and future risks.
The Co-Founder’s Black Hole — A Structural Read on Jack Clark’s Automated AI R&D Essay
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The 90-Day Window Closed. Nobody Sent a Notice.
The 90-day window for responsible vulnerability disclosure has ended without any notice from vendors, highlighting new risks in cybersecurity.
732 Bytes to Root. One Hour of Scan Time.
A 732-byte Python exploit exposes a universal Linux privilege escalation, discovered in just one hour of AI-driven scanning, signaling a major shift in security costs.
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 either saturated or is nearing saturation, 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 a 60% chance of autonomous AI R&D by 2028, signaling significant policy implications.
The Skills Marketplace, Six Months Later: Predicted vs Actual
Six months into the skills marketplace era, this report compares initial predictions with actual developments, highlighting growth, fragmentation, and future outlook.
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, affecting strategic industry positions.
The Power Bottleneck: AI Data Centers and the Grid Cliff Approaching 2027-2028
Power limitations threaten the expansion of AI data centers, with grid expansion timelines lagging behind hyperscaler capex commitments, risking deployment delays.
The New Personal Agent Layer
OpenClaw and Hermes lead a new wave of persistent personal action agents that act across digital environments, transforming AI from chatbots to active digital agents.
The Continual Learning Research Map: Where the Memento Constraint Stands in May 2026
Six months after initial analysis, the research on the Memento Constraint confirms it remains a key bottleneck, with no fully ready solutions yet. Deployment expected by 2028-2030.
