The AI Productivity J-Curve: Why Most Enterprise AI Fails
90% of companies plan to increase AI investment. 1% consider themselves AI-mature. The J-Curve explains why — and how to survive the trough.
21 posts
90% of companies plan to increase AI investment. 1% consider themselves AI-mature. The J-Curve explains why — and how to survive the trough.
75% of lawyers cite accuracy as their top AI concern. The legal profession's core values are in direct tension with current AI capabilities.
120 models, 18k prompts, 5 attack families. The raw compliance numbers — and why calling them "attack success" needs a demonstrated refusal floor.
Four major forecasters publish wildly divergent numbers for AI's economic impact. The divergence is the analysis — what the spread tells us.
A probabilistic risk model for VLA-driven humanoid fatalities projects a 'Danger Zone' between 2027–2029: the mechanism, timeline, and what follows.
How I automated audio overviews, quizzes, mind maps, and infographics for 32 projects via an unofficial NotebookLM CLI and a stack of shell scripts.
64 jailbreak scenarios across six eras tested on 2026 frontier models. Key finding: 2022 attacks still achieve ~30% success on today's reasoning models.
Balestriero and LeCun prove isotropic Gaussian embeddings are optimal, then build a 50-line self-supervised method eliminating stop-gradients and EMA teachers.
Single-agent safety does not compose in multi-agent systems. 1.5M interactions show 46.34% attack success rates and 16-minute median failure windows.