- 012026-04-05ai6 min
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.
read → - 022026-02-22ai12 min
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.
read → - 032026-02-20economy12 min
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.
read → - 042026-02-19ai10 min
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.
read → - 052026-02-18ai14 min
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.
read → - 062024-01-15ai10 min
The Future of Large Language Models in Scientific Research
Exploring how LLMs are transforming the way we approach scientific discovery and research methodology.
read → - 072024-01-10ai12 min
Understanding Continual Learning in Neural Networks
A deep dive into catastrophic forgetting and modern approaches to lifelong learning in AI systems.
read → - 082023-12-20ai15 min
Multi-Modal Learning: Bridging Vision and Language
How modern AI systems learn to understand and connect visual and textual information.
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