The field of web automation and storage is moving towards increased efficiency and productivity, with a focus on developing autonomous agents that can handle tedious daily tasks. Recent studies have explored the potential of Large Foundation Models (LFMs) in creating powerful AI Agents that can automatically assist people in handling web tasks. Additionally, there is a growing concern about the trustworthiness of GUI agents, with a need for robust safety standards and responsible development practices. Noteworthy papers include:

• A study on saving storage space by automatically detecting files that can be restored from the web, which found that 989 MB of storage per user can be saved by inspecting preexisting metadata of their 25 largest files alone.
• A survey on WebAgents, which comprehensively reviews existing research studies on WebAgents and explores promising directions for future research.