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The article argues that tech companies like Amazon are building AI and data center infrastructure to become essential public utilities before regulations are established, creating dependency to avoid accountability.
This paper introduces a discrete diffusion model with a novel 'germline absorbing' modification to improve conditional antibody sequence generation. It addresses germline bias in protein language models and demonstrates superior performance in optimizing antibody binding affinity and developability compared to existing methods like EvoProtGrad.
Anthropic and Amazon have expanded their partnership with a $100 billion commitment to secure up to 5 gigawatts of new compute capacity for training and deploying Claude, alongside a $5 billion investment from Amazon.