The human writes a Markdown file. The AI runs 100 experiments overnight. The bottleneck isn’t compute, it’s your program.md. Karpathy open-sourced autoresearch: an AI agent that runs ~100 ML experiments on a single GPU overnight. The human never touches the code, just a Markdown file. From Ralph Wiggum bash loops to Gas Town’s 30-agent factory, […]
One GPU Into a Research Lab – Karpathy Just made it happen Read More »
Sure! Here’s a short WordPress blog post (~1000 words) on the topic **”Integrating World Models with Multimodal Learning”**: — **Title: Integrating World Models with Multimodal Learning: A Path Toward More Human-Like AI** In the rapidly evolving world of artificial intelligence, two prominent and complementary concepts—**world models** and **multimodal learning**—are shaping the next generation of intelligent
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**Title: Building Causal Understanding in AI World Models** In advancing AI, developing world models that understand causality is crucial. Unlike basic pattern recognition, causal understanding allows AI to predict *why* things happen—not just *what* happens next. By incorporating causal inference, AI learns to model real-world dynamics more accurately, leading to better decision-making and generalization. Techniques
Building Causal Understanding in AI World Models Read More »
AI world models reveal surprising, complex patterns through emergent behavior.
“Emergent Behavior in AI World Models” Read More »
