r/MachineLearning found the 1,200-paper list useful, but the thread immediately separated “has a link” from “can reproduce the result.” Comments pointed to missing papers, 404s, and the gap between public code and runnable research.
This is the kind of numeric jump that makes multi-agent research hard to ignore. Together says EinsteinArena agents raised the 11-dimensional kissing number lower bound from 593 to 604 and had already logged 11 new SOTA results on open problems by April 11.
Google DeepMind said on X that it is expanding AlphaFold Database with millions of AI-predicted protein complex structures in collaboration with EMBL-EBI, NVIDIA, and Seoul National University. The release pushes AlphaFold beyond single-protein structure prediction toward a broader public resource for studying how proteins interact.