Continual-ARC scores lifelong skill acquisition on ARC-AGI streams
Harness persistence rarely beats a demonstration cache on memorization, and no harness method gains on unseen tasks, unlike weight updates.
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Harness persistence rarely beats a demonstration cache on memorization, and no harness method gains on unseen tasks, unlike weight updates.
The 35M-parameter model predicts four in five held-out mechanics at 80% cell accuracy; half reach that within about 80 exposures.
Fine-tuning open models with specific rules and traces improves scores on ARC-AGI-2, with the best reaching 56.67.

Gemini 4 Argon scored 97.5% on ARC-AGI-3, near GPT-6 Astra but weaker in math and coding.
InfiLoop adds loop-native residuals so looped Transformers keep improving past 20,000 test-time steps.
Memento 3 lets a frozen LLM learn explicit world models through a revisable natural-language rulebook.
MIT's Alex Zhang discusses Recursive Language Models, GPU kernels, and multi-agent harnesses.
VISTA's visual-memory harness lifts Claude Opus 5.0 to a perfect ARC-AGI-3 score using 57.4% fewer actions.
Schema agent harness lifts ARC-AGI-3 RHAE from 58.7% to 99.2% via program induction.
Allspark transfers weak-model reasoning to stronger students via alternating chains of thought, including Kimi and Nemotron.

Opinion piece argues viral demos like one-prompt Minecraft recreations are overfit 'demo-benchmarks' measuring preparation, not true model capability.
OpenAI launches GPT-6 Astra, a frontier model scoring 99.9% on ARC-AGI 3, priced $10/$50 per million tokens, rolling out to ChatGPT and API.
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