Inference-Time Scaling: More Compute, No Retraining, Better Answers
_jaydeepkarale · x · 2026-09-05
Part 3 of an AI Engineering series explains inference-time scaling: instead of retraining, spend more compute at inference—think longer, explore multiple solutions, verify, and select the best answer. The point isn't more tokens, but more useful computation where it matters.
More from Models
- GPT-6 availability is a mess: Pro tier in Chat, all efforts in Work, absent in Codex — justalexoki · 2026-09-05
- Asking Astra to generate an animation with both time and space symmetries — yaroslavvb · 2026-09-05
- 3D artist: GPT-6 assembles and animates a whole car from primitives in one prompt — petewoodbridge · 2026-09-05
- Same insurance table query: Ministral 14B and Qwen3.8-27B nail it, Gemma 4 31B hallucinates — andrejusb · 2026-09-05
- Astra Computer Use Takes Five Minutes Per Step in Real Testing — bubu19999 · 2026-09-05
- GPT 6 Astra day-one impressions: fast, good with skills, solid bug-finding — cneuralnetwork · 2026-09-05