Scaffolded GPT-5.5 Thinks for Weeks
OpenAI Research Scientist Noam Brown shared insights asserting that scaffolded models like GPT-5.5 can reason continuously for weeks using test-time compute. This shift marks a transition from pre-training scaling to inference-time compute scaling, challenging traditional static benchmarks and safety protocols.
The AI arms race is pivoting from who has the biggest cluster to who has the smartest inference-time scaffolding, making raw pre-training benchmarks increasingly irrelevant.
* Test-time compute scaling is proving to be the primary driver of reasoning improvements for next-generation models.
* Evaluation frameworks must shift from measuring single-turn answers to graphing capability against compute budgets over extended durations.
* Safety and alignment protocols face a massive challenge in auditing models that are allowed to "think" and iterate autonomously for days or weeks.
DISCOVERED
2h ago
2026-06-28
PUBLISHED
3h ago
2026-06-28
RELEVANCE
AUTHOR
Eugluh