AI startup Hark unveils first product: an affordable, fast computer use agent Hark Handoff
A computer use agent called Handoff scores 97.7 on the Online-Mind2Web benchmark, outperforming OpenAI's GPT 5.4 at 92.8 and other competing models. The agent costs $0.18 per million input tokens and $2.37 per million output tokens with 0.8 seconds per-turn latency, and operates through a dedicated virtual computer with its own browser and file system.
Read full story →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.
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.