Poetiq has officially shattered the ARC-AGI-2 SOTA by achieving a verified 54% accuracy on the semi-private evaluation set.
Learn how to implement Poetiq HERE!! nov.link/skoolAI This landmark achievement surpasses the previous best score of 45% held by Gemini 3 Deep Think. Crucially, Poetiq did not train a new foundation model; instead, they built a revolutionary Meta-System that orchestrates existing frontier LLMs (like Gemini, GPT, and Claude) to write code and "think" iteratively at runtime. This breakthrough is hailed as a structural shift and the "Sputnik Moment" for AI, validating that intelligence can be decoupled from model scale. The Poetiq system proved intelligent orchestration is currently more capital-efficient than raw model scaling, achieving SOTA results at less than half the cost—$30.57 per problem versus the previous SOTA's $77.16. This marks a transition from the era of "Training Compute" to "Test-Time Compute". Learn how this Neuro-Symbolic architecture, which relies on explicit code generation and iterative self-verification, is changing the economic landscape of AI reasoning.
