I love this idea, thanks for sharing! Btw, in case you revise these, I noticed a typo

This shift from training to inference compute is good news for hyperscalers and Nvidia.

In the ARC AGI eval (linked article in the first post), the ‘high compute’ mode results came from spending ~$350K in total on inference, giving the model more compute to search the solution tree.

These models excel at reasoning-heavy tasks like coding, summarisation, and can work through PhD-level problems with sufficient test time compute. Unlike their predecessors (4o/3.5-sonnet), these reasoning models get ‘smarter’ with inference compute.