# AI and science

> AI와 과학

[AI](https://wiki.g15e.com/pages/Artificial%20intelligence.txt)와 <과학>

## Articles

- <2026-01-28> - [Theorizer](https://wiki.g15e.com/pages/Theorizer.txt)
  - "Each theory that Theorizer outputs is structured as a set of ⟨LAW, SCOPE, EVIDENCE⟩ tuples."
- <2026-01-28> - [OpenAI Prism](https://wiki.g15e.com/pages/OpenAI%20Prism.txt) 발표.
- <2026-01-21> - [GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers](https://gptzero.me/news/neurips/)
- <2026-01-16> - [How scientists are using Claude to accelerate research and discovery](https://www.anthropic.com/news/accelerating-scientific-research)
- <2026-01-06> - [Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research Attempts](https://arxiv.org/abs/2601.03315)
- <2025-12-18> - [Google DeepMind supports U.S. Department of Energy on Genesis: a national mission to accelerate innovation and scientific discovery](https://deepmind.google/blog/google-deepmind-supports-us-department-of-energy-on-genesis/)
  - 구글 뿐 아니라 MS, OpenAI, Anthropic 등도 모두 참여.
- <2025-12-10> - [AlphaEvolve on Google Cloud: AI for agentic discovery and optimization](https://cloud.google.com/blog/products/ai-machine-learning/alphaevolve-on-google-cloud)
  - 몇 개월 전에 구글이 자랑했던 <AlphaEvolve>가 private preview 상태로 공개됐다는 발표.
  - 사용자가 대충 작동하는 초기 솔루션과 assessment function(아마 <fitness function>?)을 제공하면 [LLM](https://wiki.g15e.com/pages/Large%20language%20model.txt)이 변이를 만들어서 population을 채워가며 알고리즘을 진화시키는 방식. 전통적인 <EA>랑 같은데 변이를 LLM이 만든다는 게 제일 큰 차이인 것 같다. [Gemini](https://wiki.g15e.com/pages/Gemini%20(AI.txt)) 같은 SoTA 모델을 쓴다는 점이랑. 제약, 칩설계 등 다양한 분야에 적용할 수 있다고 주장.
- <2025-12-10> - [A new preprint server welcomes papers written and reviewed by AI](https://www.science.org/content/article/new-preprint-server-welcomes-papers-written-and-reviewed-ai)
  - Science 저널의 AI가 쓴/리뷰한 논문에 대한 전향적 정책
- <2025-12-07> - [Evaluating Large Language Models in Scientific Discovery](https://arxiv.org/abs/2512.15567)
- <2025-11-25> - [Accelerating science with AI](https://www.science.org/doi/10.1126/science.aee0605)
- <2025-11-24> - <미국> 정부에서 [Genesis Mission](https://wiki.g15e.com/pages/Genesis%20Mission.txt) 발표.
- <2025-11-21> - [How AI Is Accelerating Scientific Discovery Today and What's Ahead — the OpenAI Podcast Ep. 10](https://www.youtube.com/watch?v=0sNOaD9xT_4)
- <2025-09-30> - [Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark](https://arxiv.org/abs/2509.26574)
- <2025-08-20> - [aiXiv: A Next-Generation Open Access Ecosystem for Scientific Discovery Generated by AI Scientists](https://wiki.g15e.com/pages/aiXiv%20-%20A%20Next-Generation%20Open%20Access%20Ecosystem%20for%20Scientific%20Discovery%20Generated%20by%20AI%20Scientists.txt)
- <2025-07-03> - [An AI-native experimental laboratory for autonomous biomolecular engineering](https://arxiv.org/abs/2507.02379)
- <2024-08-13> - https://sakana.ai/ai-scientist/
  - "The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery"

## Tools

- [OpenAI Prism](https://wiki.g15e.com/pages/OpenAI%20Prism.txt)
- [Claude Scientific Skills](https://wiki.g15e.com/pages/Claude%20Scientific%20Skills.txt)

## See also

- 2026-01-19 - [AI for Science podcast](https://www.latent.space/p/science)