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THE DAILY INDEX

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HEADLINES & LAUNCHES

TLDR AI

AN OFF SWITCH FOR DUAL USE KNOWLEDGE IN AI MODELS

GRAM (Gradient-Routed Auxiliary Modules) enables the benefits of training many separately-filtered models at the cost of training only one model. It gives models dedicated, removable compartments for each category of dual-use knowledge and only updates those compartments when learning from dual-use data. It allows parts of the model's knowledge to be deleted after training, providing a stronger framework for model safety.

SWE-1.7: FRONTIER INTELLIGENCE AT A FRACTION OF THE COST

SWE-1.7 reaches frontier-level intelligence at a much lower cost. It is the result of broad improvements across Cognition's RL pipeline, including better infrastructure, more stable training, higher-quality data, and new techniques for long-horizon tasks. The model is available now in Devin on the web, desktop, and CLI. This post contains details on the infrastructure, algorithms, and data work behind the model.

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