THE SCALING WALL WAS A MIRAGE

Summary from the TLDR AI newsletter

Gemini 3 showed that models can still improve by adding more compute during scaling. It has the same parameter count as Gemini 2.5 but with massive performance improvements. Google credits the improvements to pre-training and post-training and says that there is still no limit in sight. The model release is the strongest evidence since OpenAI's o1 that pre-training scaling still works when algorithmic improvements meet better compute.