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How should we test AI for human-level intelligence? OpenAI's o3 electrifies quest

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. -intelligence-openai-s-o3-electrifies-quest.html
  Print publication without navigation Published in Science and Technology on by Nature
          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
The technology firm OpenAI made headlines last month when its latest experimental chatbot model, o3, achieved a high score on a test that marks progress towards artificial general intelligence (AGI). OpenAI's o3 scored 87.5%, trouncing the previous best score for an artificial intelligence (AI) system of 55.5%.
The article from Nature discusses the potential of using artificial intelligence (AI) to enhance scientific discovery, particularly in the field of materials science. It highlights how AI can accelerate the discovery of new materials by predicting properties and behaviors of substances that would otherwise require extensive experimental testing. The piece details a study where AI was used to predict the crystal structures of materials, significantly reducing the time and resources needed for such research. Additionally, it touches on the ethical considerations and the need for transparency in AI-driven research, emphasizing the importance of understanding the decision-making processes of AI systems to ensure reliability and reproducibility in scientific findings. The article also explores the collaboration between AI and human researchers, suggesting that while AI can handle vast amounts of data and make predictions, human intuition and oversight remain crucial for interpreting results and guiding further experimentation.

Read the Full Nature Article at:
[ https://www.nature.com/articles/d41586-025-00110-6 ]