Steering Agents is an Unsolved Problem, says OpenAI’s Alexander Embiricos

Codex proposes code changes at scale, but engineering teams still decide what gets merged
When OpenAI introduced Codex in August 2021 it was framed as a model that translates natural language into code. Today’s Codex has evolved: product lead Alexander Embiricos tells the AI+16z podcast that the product is meant to be “an agent working remotely”. A cloud teammate that can perform tasks in sandboxed environments and propose pull requests for review. Embiricos describes a development arc from small, single-file autocompletions to multi-file reasoning and background execution. “You can give Codex a description, and it will generate a pull request on its own,” he said, noting the product’s cloud-agent design and the safety tradeoffs that informed it.  OpenAI documents that each Codex task runs in its own sandboxed environment and that agents operate in repo-scop
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Picture of Mukundan Sivaraj
Mukundan Sivaraj
Mukundan covers the AI startup ecosystem for AIM Media House. Reach out to him at mukundan.sivaraj@aimmediahouse.com.
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