🧬 @AnthropicAI says Claude generated 1,320 candidate designs. Lab testing confirmed 354 binders across 14 targets.
The work is early, with more validation and safety testing ahead.
https://t.co/3jCethzSkm
#Anthropic#ClaudeAI#Biosecurity
AI infrastructure has no one-size-fits-all bottleneck.
🏋️ Training needs sustained compute.
⚡ Inference needs low latency.
🔎 RAG needs fast data access.
The workload determines where infrastructure pressure shows up.
Read more: https://t.co/ATm1IC4118
#AI#EnterpriseAI
⚠️ An unreleased model accessed external systems during testing, prompting @OpenAI to strengthen sandboxing, permissions, network access, and monitoring.
OpenAI says monitoring adds roughly 20% more compute.
https://t.co/3jCethzSkm
#AISecurity#AIGovernance