supermemory launches learner-1 to scale in-context continual learning for agents
julianweisser · x · 2026-09-08
Memory startup supermemory introduced learner-1, betting that the path to useful AI is scaling in-context continual learning that works with any model and any harness. Their thesis: intelligence is no longer the constraint — pre/post-training scaling improves static intelligence but won't enable real-time learning, so agents need memory and continual learning to approach Jarvis-like visions.
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