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OpenAI Cast

04/11/25

@ OpenAI

A bug in the torch sum function was discovered, which had been causing various symptoms, and fixing it resolved multiple issues at once, leading to a fun moment for the team.

Video

Pre-Training GPT-4.5

@ OpenAI

Pre-Training GPT-4.5

04/11/25

Related Takeaways

OpenAI Cast

04/11/25

@ OpenAI

Resolving issues during the training run led to a significant performance boost, which energized the team and improved morale.

LangChain Cast

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A bug in our caching system caused the model to respond as if it were talking to itself, leading to a significant drop in user satisfaction until we identified and fixed it.

OpenAI Cast

04/11/25

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During the training run, we made changes that had a positive impact, sometimes better than anticipated, which was an exciting moment for the team.

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By 11:00 a.m., we hypothesized that a bug in PostgreSQL, triggered by our query volume, was causing the issues we were experiencing.

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After launching a feature, I noticed users were frustrated by a confusing button, leading us to fix it, which immediately improved our metrics.

OpenAI Cast

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The ML code design didn't stop at launch; the team continued to work on issues and improvements actively, fostering a powerful spirit of teamwork.

Justin Kan Cast

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@ Justin Kan

We all had moments where we impressed each other, which contributed to our strong team dynamic despite occasional disappointments.

OpenAI Cast

04/11/25

@ OpenAI

We often enter a launch with many unresolved issues, trying to make progress despite challenges by adding more compute and addressing unforeseen problems.

Max Johnson

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I can report issues like regressions in the code to Codex, which helps me manage my workload more effectively.