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Make your AIs better at using computers with OSGym:
…Breaking out of the browser prison…
Academics with MIT, UIUC, CMU, USC, UVA, and UC Berkeley have built and released OSGym, software to make it easy to train AI systems to use computers. OSGym is software infrastructure to help people run hundreds to thousands of copies of operating systems simultaneously, providing a common standard by which they can set up the operating systems then run agents in them. Technology like this makes it possible to easily train AI agents to do tasks that involve manipulating software programs, including task that involve traversing multiple programs, like editing an image and then loading it in another program.
“OSGym can run and manage over 1000 parallel OS replicas efficiently, even under tight academic budgets, while supporting a wide variety of general computer tasks, from web browsing, document editing, software engineering, to complex multi-app workflows”, the authors write.

Design: OSGym provides a standardized way to run and evaluate agent performance in different operating systems. It has four main components:

• Configure: “Setting up necessary software, and preparing the OS environment with customized conditions”.

• Reset: “Before executing a task, the OS environment is reset to the initial conditions defined during the configuration, ensuring reproducibility and consistency between runs”.

• Operate: “The agent interacts with the OS through actions such as keyboard inputs, mouse movements, clicks, and potentially API-driven tool interactions, driven by observations typically captured through screenshots or additional metadata extracted from the OS”.

• Evaluate: “OSGym evaluates outcomes based on predefined criteria or metrics”.

Cost efficiency: The main reason to use OSGym, beyond scalability and standardization, is that it’s cheap - the software “only costs 0.2 to 0.3 USD per day per OS replica on easily accessible on-demand compute providers”. In one experiment, the researchers ran 1024 OS replicas to test out how well agents did at ~200+ distinct tasks, running each agent for 10 to 25 steps, and the total cost for generating the entire dataset was about $43.

Why this matters - software to give AI the ability to use our computers: Right now, AI systems are breaking out of the standard chat interface and into much broader domains using software ranging from web browsers to arbitrary ...