OpenAI’s Symphony spec pushes coding agents from prompts to orchestration

OpenAI has released Symphony, an open-source specification for turning issue trackers such as Linear into control planes for Codex coding agents. Instead of asking an AI tool for help with one coding problem at a time, Symphony is designed to let agents pick up work from an issue tracker, run in separate workspaces, monitor CI,…

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Researchers propose a self-distillation fix for ‘catastrophic forgetting’ in LLMs

A new fine-tuning technique aims to solve “catastrophic forgetting,” a limitation that often complicates repeated model updates in enterprise deployments. Researchers at MIT, the Improbable AI Lab, and ETH Zurich have introduced a fine-tuning method designed to let models learn new tasks while preserving previously acquired capabilities. To prevent degrading existing capabilities, many organizations isolate…

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Databricks adds MemAlign to MLflow to cut cost and latency of LLM evaluation

Databricks’ Mosaic AI Research team has added a new framework, MemAlign, to MLflow, its managed machine learning and generative AI lifecycle development service. MemAlign is designed to help enterprises lower the cost and latency of training LLM-based judges, in turn making AI evaluation scalable and trustworthy enough for production deployments. The new framework, according to…

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