Blogs
Writing on AI, science and the economy.
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4- ai
Situational Awareness in AI Models: When the System Knows It's Being Watched
Situational awareness — perceive, comprehend, project — makes a great pilot but a tricky model. When a system recognizes it's being evaluated, it can behave well because it's watched. Why eval-awareness breaks our safety tests, and what to do about it.
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Continual Learning for AI Agents
Most discussions of continual learning focus on updating model weights — but for AI agents, learning happens at three distinct layers: the model, the harness, and the context. Understanding the difference changes how you build systems that improve over time.
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Reasoning LLMs Are Rewriting What AI Can Think — Here's the Full Roadmap
A comprehensive survey maps the shift from fast, intuitive System 1 AI to deliberate, step-by-step System 2 reasoning — covering everything from Monte Carlo Tree Search to reinforcement fine-tuning, and what it means for the next generation of AI agents.
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The Lesson of History Is That Nobody Learns — And Education Is the Only Fix
From the Great Depression to trade wars to rising nationalism, the pattern repeats every century. The root cause isn't economics or politics — it's that the majority of people never learned why it happened the first time.
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