OY Labs Secures Top ARC-AGI-3 Public Score in Quest for World's Smartest AI
Yahoo Finance ·
On September 11, 2026, Warsaw-based AI research firm OY Labs announced that its OY1-AGI system achieved a perfect 100.0% public benchmark score on ARC-AGI-3, solving all 25 games and 183 levels. Revealed on September 9, the primary evaluation utilized 6,732 actions with a total API cost of $415.37, completing in 6 hours and 48 minutes while passing 37,704 evidence consistency checks. This performance surpasses OpenAI's high-reasoning public outcomes and NVIDIA NOOA's 85.1% score. Cofounder and CEO Laurin Bylica emphasized the mission to deliver affordable advanced intelligence, while CTO Loïc Bellez noted that the upcoming OY2-AGI will integrate ethical safeguards from inception. The benchmark harness has been open-sourced under the Apache 2.0 license.
AI 시장 분석
OY Labs announced that it achieved a perfect score of 100% on the public ARC-AGI-3 benchmark, solving all 25 games and 183 levels. It is drawing industry attention by proving top-tier performance at an innovative low cost of $415.37 in API fees. Investors should watch for intensified competition and market restructuring among related tech companies as AI inference efficiency and cost reduction accelerate.
상승 영향
- AI — OY Labs demonstrated innovation in AI inference efficiency by achieving a perfect ARC-AGI-3 score at a low cost of $415.37, raising expectations for the spread of related technologies.
하락 영향
- Semiconductors — As the computational efficiency of AI models improves rapidly, dependence on high-cost computing infrastructure decreases, which could put pressure on related chip demand.
DYAX 전담 분석
The achievement of a perfect ARC-AGI-3 score by OY Labs' OY1-AGI model at a low cost of $415.37 proves that AI inference efficiency is being maximized. This acts as a direct factor that drastically lowers the cost of building high-performance AI, accelerating its popularization and enterprise adoption.
The bullish scenario is a surge in demand for related hardware and software driven by the spread of cost-effective AI models, while the bearish scenario is margin compression due to excessive price competition. Key monitoring metrics are API usage cost trends and AI benchmark leaderboard rankings.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 70% · Bearish (Short) 30%
382 participants
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