The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations
Research shows that even 99.9% per-generation alignment accuracy drops to 60% after 500 generations, raising concerns over recursive self-improvement safety.
The Co-Founder’s Black Hole — A Structural Read on Jack Clark’s Automated AI R&D Essay
Jack Clark predicts over 60% chance that autonomous AI research systems could emerge by 2028, raising concerns about institutional readiness and future risks.
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 building their own successors will emerge by 2028.
The Continual Learning Research Map: Where the Memento Constraint Stands in May 2026
Six months after initial analysis, the research community confirms the Memento Constraint remains a key bottleneck in AI continual learning, with no current solution ready.
Two Channels: How the Pentagon Just Split Frontier-AI Procurement in Half
The Pentagon announced a split in its AI procurement strategy, placing Anthropic in a separate cybersecurity channel and not in the classified, redundant channel announced May 1, 2026.
The Memento Constraint: Why Continual Learning Is the Trillion-Dollar Bottleneck Nobody Is Pricing
AI systems in 2026 are unable to learn across conversations, resembling Leonard from Nolan’s Memento. Solving this could reshape the enterprise AI economy.
Pentagon AI Goes Explicit: The Frontier Labs Move Inside the Classified Stack
The Pentagon has announced agreements with major tech firms to embed advanced AI capabilities into classified networks, signaling a shift towards AI-first military operations.
