Emulated: The Data for Fully Autonomous Software Engineers and Companies — Joseph Wang
- Source
- youtube.com
- Author
- AI Engineer
- Date
Context
Training an to maintain a service requires problems that extend beyond changing its source code. Emulated, a company building training environments, describes surrounding a codebase with incident histories, customer and simulated operational failures. In its example, the agent must carry a change through deployment while dealing with failing nodes and keeping the simulated service available. This makes earlier decisions affect later conditions, resembling the continuing responsibility of infrastructure work. The company also argues for environments that provision real cloud resources when a single cannot represent the relevant behavior. These are environment designs intended to teach operational competence; the talk does not quantify a resulting reliability improvement.
- AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- sandbox — An isolated environment where AI-generated code or agent actions run without being able to touch anything real.
“we're headed towards a future where agents are able to perform useful work over longer and longer horizons with little to no supervision”
Joseph Wang
“the gap in models is usually a gap in data. Models typically are only as good at as data is.”
Joseph Wang
“Model capability has never uh regressed whenever you introduce more high-quality data.”
Joseph Wang
“the real world is very, very complex, um, and how we as a industry emulate the real world is incredibly contrived and low fidelity”
Joseph Wang
“in 2026, all of us are on an infra's comeback, and it's very sexy. Everybody wants to work on it, right?”
Joseph Wang
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