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Source OpenAI · Published · Open the original ↗

Lab notes

What FDE means at OpenAI

What forward deployed engineering means at OpenAI

What we do, how we work, and how we solve enterprise’s toughest problems to deliver real impact. By: Colin Jarvis, Head of Forward Deployed Engineering at OpenAI

When Codex came out, someone on the team asked me, “What do we do when Codex can just one-shot the use cases we spent the last few months building?”

That question gets to the heart of what FDE means at OpenAI. We work alongside customers to understand their hardest problems and build solutions they can depend on. What we learn helps shape our products and gives Research concrete problems to solve.

That is progress. If we make ourselves obsolete every couple of months, our FDE team is doing its job.

The opening of the post, quoted unchanged from OpenAI. The full text continues at the source.

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