Microsoft’s SkillOpt Shows Optimized Agent Skill Artifacts Transfer Across Model Scales and Between Codex and Claude Code Harnesses
Skills trained on Codex transferred to Claude Code with varying success rates, improving spreadsheet tasks from 22.1 to 81.8 percent accuracy. Retention ranged from 102 percent on spreadsheets to 10 percent on math problems depending on task type.
Read full story →Meta enters the AI coding wars with Muse Spark 1.2 and Muse Code with persistent async background agents
Meta released Muse Code, a terminal-based AI coding agent in beta, alongside Muse Spark 1.2 models for handling complete software engineering tasks across large repositories. The system performs planning, code writing, and validation and is installable on macOS or Linux with a single curl command.
Meta AI Releases Muse Code (Beta): A Terminal Coding Agent Powered by the New Muse Spark 1.2 Model
A terminal coding agent called Muse Code plans, writes, and validates code across large repositories using the Muse Spark 1.2 model. The system maintains async background agents throughout sessions and uses a local append-only event log for crash recovery and exact runtime replay.
SkinBit Raises $6M Pre-Seed to Improve Early Skin Cancer Detection Through Full-Body Imaging
SkinBit secured $6 million in pre-seed funding to develop full-body skin imaging technology that creates consistent patient records of skin changes over time. The platform replaces single annual examinations with standardized imaging and computer analysis for early skin cancer detection.