arc-agi
Test-Time Training Lesson
Test-time training is the practice of updating a model's actual weights on the specific problem in front of it, at inference, rather than only running a forward pass -- turning each test example into a tiny training run.
The ARC-AGI-3 record going around is the wrong number and the wrong system News
The top ARC-AGI-3 entry on ARC Prize's public leaderboard is an NVIDIA-labelled agent scoring 85.1% on the public demo set at a cost of $332, self-reported and not independently verified, and it is not the AVO system that viral posts credited with a perfect run.
A 150M model set an ARC-AGI record for cost, not score News
Pathway's BDH-CQ solves reasoning puzzles by iterating in a latent workspace instead of writing out its thinking, reaching 29.5% on public ARC-AGI-1 at seven hundredths of a cent per task and setting a record in cost efficiency rather than accuracy.
Two API settings tripled OpenAI's ARC-AGI-3 score without touching the model News
OpenAI reported on July 29 that enabling retained reasoning and compaction lifted GPT-5.6 Sol from 13.3% to 38.3% on the ARC-AGI-3 public task set while using six times fewer output tokens, an identical model scoring three times higher because of harness settings.