Every benchmark measuring AI R&D capability launched in 2023-2024 has either saturated or is nearing saturation, signaling accelerated AI development.
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Technology and Innovation
72 posts
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 autonomous AI research systems by 2028, raising concerns about institutional capacity 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 states there’s a 60%+ probability that AI systems can autonomously develop their own successors by the end of 2028, marking a significant policy forecast.
The Skills Marketplace, Six Months Later: Predicted vs Actual
Six months after predictions, the skills marketplace has grown to over 4,200 skills, with fragmentation and structural challenges. Here’s what’s confirmed and what remains unclear.
The Continual Learning Research Map: Where the Memento Constraint Stands in May 2026
Six months after initial analysis, the Memento Constraint remains a key bottleneck in AI continual learning research, with no ready solutions yet emerging.
The New Personal Agent Layer
OpenClaw and Hermes introduce a new layer of persistent personal action agents, transforming how AI interacts with digital environments.
One markdown file, publish-ready for every platform
A web tool now enables creators to convert a single markdown file into platform-specific formats, saving time and effort in content distribution.
The Skills Marketplace Nobody Is Building Yet
A comprehensive analysis of the emerging skills infrastructure layer in AI, highlighting the current lack of a dedicated marketplace and its implications.
The Forward-Deploy Pivot: Why Anthropic and OpenAI Are Becoming Consulting Firms in the Same Week
Anthropic and OpenAI are launching enterprise services firms backed by major investors, signaling a strategic move into AI-driven consulting for mid-market companies.
The Memento Constraint: Why Continual Learning Is the Trillion-Dollar Bottleneck Nobody Is Pricing
Exploring how the inability of current AI models to learn continually reshapes the enterprise AI landscape and trillion-dollar market potential.