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poetiq-arc-agi-solver

(★ 1,281)

This repository allows reproduction of Poetiq's record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.

파일 탐색기

최종 버전 다운로드 (.zip)

- __init__.py
- config.py
- io.py
- llm.py
- prompts.py
- sandbox.py
- scoring.py
- solve.py
- solve_coding.py
- solve_parallel_coding.py
- types.py
- utils.py
- - arc-agi_evaluation_challenges.json
  - arc-agi_evaluation_solutions.json
  - arc-agi_test_challenges.json
  - arc-agi_training_challenges.json
  - arc-agi_training_solutions.json
  - sample_submission.json
- - arc-agi_evaluation_challenges.json
  - arc-agi_evaluation_solutions.json
  - arc-agi_test_challenges.json
  - arc-agi_training_challenges.json
  - arc-agi_training_solutions.json
  - sample_submission.json
.gitignore
arc2captured.png
arcagi1.png
arcagi2.png
LICENSE.txt
main.py
officialtable_boxed.png
README.md
requirements.txt

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/poetiq-ai/poetiq-arc-agi-solver

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd poetiq-arc-agi-solver

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

python -m venv .venv

파이썬 스크립트(또는 모듈)를 실행합니다.

pip install -r requirements.txt

requirements.txt 등에 명시된 파이썬 라이브러리를 설치합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

이 레포의 README에 적힌 실제 명령어를 그대로 가져왔습니다.

// repository documentation

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# [Poetiq](https://poetiq.ai): SOTA Reasoning on ARC-AGI

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.11+](https://img.shields.io/badge/python-3.11+-blue.svg)](https://www.python.org/downloads/)
[![ARC-AGI](https://img.shields.io/badge/Task-ARC--AGI-red)](https://arcprize.org/)

This repository allows reproduction of **Poetiq's** record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.

Full analysis is available in our launch post, **[Traversing the Frontier of Superintelligence](https://poetiq.ai/posts/arcagi_announcement/)**.

Our method is now on top of the official leaderboard. More information is in our follow-up post, **[Poetiq Shatters ARC-AGI-2 State of the Art at Half the Cost](https://poetiq.ai/posts/arcagi_verified/)**.

---

## 📊 Public Eval Results
You can recreate the Gemini 3 points from these charts using this repo.

<p align="center">
  <img src="arcagi1.png" width="45%" />
  <img src="arcagi2.png" width="45%" />
</p>

## 📊 Official Private Eval Results
These are our results on the official leaderboard from ARC Prize, but those problems are kept private.

<p align="center">
  <img src="officialtable_boxed.png" width="755%" />
</p>
<p align="center">
  <img src="arc2captured.png" width="60%" />
</p>

## 🛠️ Usage

### Prerequisites
- Python 3.11+
- API Keys for the models you wish to test (Gemini, OpenAI, etc.)

### Quick Start

1. Setup the environment:
   ```bash
   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   ```

2. Create a .env file in the root directory. You must include keys for the models you intend to run.

```bash
    GEMINI_API_KEY=...
    OPENAI_API_KEY=...
    ```

3. Modify the constants in main.py to set the problem set, number of problems, etc. Then run the script:

```bash
    python main.py
    ```

4. By default, the code runs the Poetiq 3 config described in the blog post. You can uncomment other ones or modify the config in config.py

## 📄 Contact
If you use this code or these results in your research, please cite our blog post:

Poetiq Team. (2025). *Traversing the Frontier of Superintelligence*. Poetiq AI. [https://poetiq.ai/posts/arcagi_announcement/](https://poetiq.ai/posts/arcagi_announcement/)

For questions or to discuss the future of reasoning, reach out to us at poetiq@poetiq.ai.

[![X (formerly Twitter)](https://img.shields.io/badge/X-000000?style=for-the-badge&logo=x&logoColor=white)](https://x.com/poetiq_ai)
[![LinkedIn](https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/company/poetiq/)
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