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Overlapping spectra from 2,000 simultaneous JWST targets can be disentangled with 99.9% redshift fidelity, transforming what was previously viewed as catastrophic spectral confusion into an ultra-dense cosmological survey strategy.
Prompt-based agent memory inevitably saturates the context window, but alternating fast in-context skill distillation with slow parametric consolidation turns ephemeral interaction traces into durable model competence.
LLMs can now write better stories, poems, and scripts, thanks to a new training method that uses AI to automatically generate its own writing feedback criteria.
