This week, Latent Space explored how AI systems are moving from research labs into high-stakes real-world deployment. From using transformers to tackle cancer trial failures at Noetik to Shopify's infrastructure overhaul for 2026's anticipated AI usage explosion, the conversation centered on a common thread: the gap between what these systems can theoretically do and the operational, scientific, and engineering challenges required to actually scale them. The AIE Europe debrief added a forward-looking perspective on where unsupervised learning and autonomous agents might fill that gap next.
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