Tag: LLM scaling laws
Laws That Break: Where Large Language Model Scaling Expectations Fail
Explore where LLM scaling laws fail. From Chinchilla's compute optimization to RL instability and exponential safety risks, discover why predictable AI growth is a myth.
- Jul 16, 2026
- Collin Pace
- 0
- Permalink
Scaling Behavior Across Tasks: How Bigger LLMs Actually Improve Performance
Larger LLMs improve performance predictably-but not uniformly. Scaling boosts efficiency, reasoning, and few-shot learning, but gains fade beyond certain sizes. Task complexity, data quality, and inference strategies matter as much as model size.
- Mar 17, 2026
- Collin Pace
- 7
- Permalink