Post by National AI Research Lab (NAIRL)

We were delighted to host Minhyeong Lee, CEO of Asteromorph, for our Distinguished Scholar Seminar co-hosted by the National AI Research Lab (NAIRL) and KAIST AI at the Seoul AI Hub. With approximately 290 participants joining both on-site and online, the session explored one of the most ambitious frontiers in AI: the rise of the "AI Scientist" capable of autonomously conducting scientific discovery and accelerating innovation in the life sciences. Key Insights from "Accelerating Life Evolution with AI": • The Challenge of Open-ended Science: While today's large language models perform strongly on problems with clearly defined answers, scientific research requires identifying the right questions, evaluating valid hypotheses, and navigating vast bodies of complex knowledge. • Spacer and Scientific Reasoning: Asteromorph is developing Spacer, a general-purpose scientific reasoning language model. In "Frontier Science Research," a benchmark designed to evaluate the scientific research capabilities of LLMs, Spacer achieved first-place performance by a significant margin compared to global models such as OpenAI's GPT-5.2 and Anthropic's Opus 4.6. • Autonomous Science Systems: CEO Lee introduced Asteromorph's vision for an Autonomous Scientific System, in which AI can generate hypotheses, design experiments, analyze data, and iterate through feedback loops for specific scientific problem domains, with Spacer intended to serve as the system's brain. • Discovery and Invention: The lecture distinguished between "Discovery," which identifies previously unknown biological mechanisms, and "Invention," which combines existing knowledge in new ways to create therapeutic strategies or biotechnology methodologies. CEO Lee also noted that several new disease treatment strategies autonomously proposed by Asteromorph's AI have already entered the experimental validation stage in collaboration with external medical research institutes. • The Library Project: Asteromorph's long-term vision is to build a large-scale knowledge repository of biological mechanisms autonomously identified by AI, extending the kind of transformation brought by Google DeepMind's AlphaFold DB into the domain of biological mechanism understanding. We are deeply grateful to Minhyeong for sharing Asteromorph's bold vision and technical perspective on the future of AI-driven scientific discovery. We look forward to seeing how the "AI Scientist" era will reshape the future of life sciences. Read more: https://lnkd.in/ggzFWACC