Blogs
Writing on AI, science and the economy.
- 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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Researchers Extract 96% of Harry Potter Word-for-Word from Leading AI Models
Indiana University researchers used simple prompts to extract near-complete copyrighted text from Claude, GPT-4o, and Llama — revealing that memorization is a fundamental byproduct of next-token prediction, not a solvable bug.
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The Interview Is Dead: What AI Evaluation Teaches Us About Hiring Humans
AI benchmarks drive model development. So why are we still evaluating humans with whiteboards and trivia? It's time to rethink hiring around human-AI collaboration and real deliverables.
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The Future of Large Language Models in Scientific Research
Exploring how LLMs are transforming the way we approach scientific discovery and research methodology.
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Understanding Continual Learning in Neural Networks
A deep dive into catastrophic forgetting and modern approaches to lifelong learning in AI systems.
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Multi-Modal Learning: Bridging Vision and Language
How modern AI systems learn to understand and connect visual and textual information.
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