---
format: "aidr-story-markdown/v1"
id: "3784d7aba9718af9aa1923cc7e21d6332b37aba7cf0db2607f02e2b6f30a7e79"
canonical_url: "https://aidr.today/3784d7ab?lang=en"
title: "Research acceleration: The view inside OpenAI"
lang: "en"
requested_lang: "en"
available_langs: ["en","vi"]
translation_fallback: null
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published_at: "2026-09-06T15:08:44.000Z"
category: "Research"
topics: ["openai","llm","research","agent","harness","inference"]
source_urls: ["https://openai.com/index/research-acceleration-view-inside-openai","https://news.ycombinator.com/item?id=49587217"]
summary: "Inside OpenAI, coding agents are reshaping AI research. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration."
---

# Research acceleration: The view inside OpenAI

> [Open the canonical story](<https://aidr.today/3784d7ab?lang=en>)

**Published:** 2026-09-06T15:08:44.000Z
**Category:** Research
**Topics:** openai, llm, research, agent, harness, inference

## Summary

Inside OpenAI, coding agents are reshaping AI research\. Explore early data on agent usage, experiment velocity, task complexity, and research acceleration\.

## Sources

- [Story source](<https://openai.com/index/research-acceleration-view-inside-openai>)
- [Discussion](<https://news.ycombinator.com/item?id=49587217>)