Tagged
#AI Research
2 posts.
- The Science of AI: What Research Still Needs to Answer
The most important open questions in AI research — about why deep learning works, about how to make AI systems more reliable, about the relationship between scale and capability, about alignment and interpretability. The scientific frontier of AI as seen from 2025: what we know, what we do not know, and why the unknown matters.
- The Scientific AI: When Machines Became Research Partners
The full story of AI's transformation of scientific research — from AlphaFold to AI-designed drugs to AI-generated mathematical proofs to AI models of climate and physics. The beginning of a new kind of science in which AI systems are genuine research partners, not just analytical tools, and what it means for the pace of discovery, the nature of scientific knowledge, and the future of human curiosity.