Launch HN: Discovered Materials (YC P26) – AI agents to discover new materials
41–43 of 43 posts
Re: Launch HN: Discovered Materials (YC P26) – AI agents to discover new materials
#42Earlier quoted context omitted.
thanks for sharing! We think the Experiments-as-code path is not the right approach. the beauty of LLMs is their ability to ingest and reason over unstructured data - they remove the need for formalizing experiments. We tried using declarative templates to document our experiments, but realized that most of the interesting insights (for example, how viscous a liquid feels) is easier described by ranting about the exp…
Pure vibe-sciencing.
One of the authors of the 2nd paper was Jeff deans undergrad advisor pointing him toward neural networks in the 90s.
Re: Launch HN: Discovered Materials (YC P26) – AI agents to discover new materials
#43The "Claude's propensity to reward hack" line is the interesting part to me. We run a small system where AI agents (scripts, LLMs) act as the actual players in a persistent simulation, and reward-hacking-style behavior shows up constantly once an agent is left running unsupervised for a long time - it finds the shortest path to whatever metric you exposed, not the path you intended. Curious whether you've found any m…
I wonder what this would look like here. Seems like a space where keeping the exposed metric and the optimization target apart would be quite difficult. Also curious: by what reasoning path do models typically end up reward hacking?