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    OpenAI Achieves Automated Research Intern Goal

    OpenAI shares internal data on coding agents reshaping its research practices.

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    11 Sources, 24d ago, first seen 24d ago

    TLDR

    OpenAI released data showing its researchers now use coding agents throughout the day, often in concurrent sessions, with usage growing faster than other teams. Boris Power, an OpenAI research engineer, posted the link to the company blog detailing faster code contributions and more experiments. Andrew Curran and other creators on X quoted the post and noted the company reached its automated research intern goal. The announcement stresses that humans still set priorities and judge results while prioritizing monitoring, alignment, and security to keep people in the loop.

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    11 Sources, first seen 24d ago

    Combined views

    499.4K

    11 Sources, first seen 24d ago

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    4.8K likes
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    372 reposts

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    243 comments
    1.1K saves
    372 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    11 Sources

    @AndrewCurran_OpenAI have reached their goal of an automated research intern, and now say they are on track for a fully autonomous AI researcher 18 months from now: in March 2028.
    @kimmonismusOpenAI has officially achieved their goal of automated AI research interns. Fully automated ai researchers by 2028.
    @BorisMPowerOpenAI achieved a goal of an automated research intern. Here’s a transparent view showing how research at OpenAI is rapidly changing. https://openai.com/index/research-acceleration-view-inside-openai/
    @omarsar0Automated AI researcher potentially by March of 2028.
    @reach_vb“According to our measurements, we have now reached the goal, announced⁠ last fall, of having an automated research intern by September of this year.” “We are making strong progress toward creating an automated AI researcher by March of 2028.” A few interesting numbers on how research is changing inside OpenAI: > Code changes per contributor: 7x the pre-2025 average > Experiments per active experimenter: 1.6x the 2025 baseline > Agent runtime: 3.1 workdays per researcher workday > Success without intervention on tasks estimated at 4–8 human hours: 18% to 53% from Jan to July Bullish!
    @deredleritt3rKey take-aways for me from today's OpenAI announcements: - OpenAI "making strong progress" toward creating the automated AI researcher. - Jakub Pachocki: "I have a strong expectation that [OpenAI's] speed of progress could be sustained into RSI". - Automated AI researcher will "work under human supervision". One of OpenAI's "north stars" includes "finding ways for people to remain part of the self-improvement loop". - "An automated AI researcher can also be an automated safety or alignment researcher." One of OpenAI's "north stars" includes "iterating [with the automated AI researcher] on the alignment problem". - Decision on whether to pursue rapid RSI depends on ability to preserve human control and on informed democratic choices about benefits and risks. - OpenAI "do[es] not yet know how to safely get all the way to aligned, full RSI". - OpenAI believes that "we and other companies" should be required to publicly track their progress towards RSI; OpenAI will continue to be transparent about its progress to RSI. - Graphs provided by OpenAI show a very sharp increase in internal usage of Agents around July 2026. I assume that's from Astra? - Jakub Pachocki on scaling laws: "There are new algorithms that have been developed along the way, new feats of ingenuity from teams and individual researchers. I see them largely as discoveries along the path of scaling; the science of deep learning is still nascent, and meaningful algorithmic progress tends to correlate with access to compute." (My note: If the science of deep learning is "still nascent", that has meaningful implications for the speed of progress we should expect from RSI.) - Jakub Pachocki on OpenAI's focus on general models: "We believe we could make the models better at specifically mathematics research with additional focus, but we do not prioritize this direction because of the urgency we feel about RSI and automated alignment research." - Jakub Pachocki on pacing AI development: "Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer. I expect and hope for voluntary slowdowns to become commonplace until shared safety bars are established. And I believe that international coordination on future AI development needs to become a top priority for governments around the world."
    @rohanpaul_aiOpenAI just officially said it has reached its "automated research intern" milestone. i.e. a human-supervised system able to complete well-defined tasks that would take a skilled researcher quite few days. inside OpenAI research, agent runtime has already crossed human labor by a wide margin. 3.1-to-1 agent-to-human ratio “In terms of a standard 8 hour workday, as of mid-August, in total, the research organization uses 3.1 agent-workdays of effort for every workday of human labor.” That ratio measures agent runtime rather than equivalent productivity, but it captures how deeply parallel agent work has entered OpenAI research.
    @zephyr_z9RT @deredleritt3r: Key take-aways for me from today's OpenAI announcements: - OpenAI "making strong progress" toward creating the automate…
    @scaling01"OpenAI achieved a goal of an automated research intern" WHAT?

    11 Sources

    @AndrewCurran_OpenAI have reached their goal of an automated research intern, and now say they are on track for a fully autonomous AI researcher 18 months from now: in March 2028.
    @kimmonismusOpenAI has officially achieved their goal of automated AI research interns. Fully automated ai researchers by 2028.
    @BorisMPowerOpenAI achieved a goal of an automated research intern. Here’s a transparent view showing how research at OpenAI is rapidly changing. https://openai.com/index/research-acceleration-view-inside-openai/
    @omarsar0Automated AI researcher potentially by March of 2028.
    @reach_vb“According to our measurements, we have now reached the goal, announced⁠ last fall, of having an automated research intern by September of this year.” “We are making strong progress toward creating an automated AI researcher by March of 2028.” A few interesting numbers on how research is changing inside OpenAI: > Code changes per contributor: 7x the pre-2025 average > Experiments per active experimenter: 1.6x the 2025 baseline > Agent runtime: 3.1 workdays per researcher workday > Success without intervention on tasks estimated at 4–8 human hours: 18% to 53% from Jan to July Bullish!
    @deredleritt3rKey take-aways for me from today's OpenAI announcements: - OpenAI "making strong progress" toward creating the automated AI researcher. - Jakub Pachocki: "I have a strong expectation that [OpenAI's] speed of progress could be sustained into RSI". - Automated AI researcher will "work under human supervision". One of OpenAI's "north stars" includes "finding ways for people to remain part of the self-improvement loop". - "An automated AI researcher can also be an automated safety or alignment researcher." One of OpenAI's "north stars" includes "iterating [with the automated AI researcher] on the alignment problem". - Decision on whether to pursue rapid RSI depends on ability to preserve human control and on informed democratic choices about benefits and risks. - OpenAI "do[es] not yet know how to safely get all the way to aligned, full RSI". - OpenAI believes that "we and other companies" should be required to publicly track their progress towards RSI; OpenAI will continue to be transparent about its progress to RSI. - Graphs provided by OpenAI show a very sharp increase in internal usage of Agents around July 2026. I assume that's from Astra? - Jakub Pachocki on scaling laws: "There are new algorithms that have been developed along the way, new feats of ingenuity from teams and individual researchers. I see them largely as discoveries along the path of scaling; the science of deep learning is still nascent, and meaningful algorithmic progress tends to correlate with access to compute." (My note: If the science of deep learning is "still nascent", that has meaningful implications for the speed of progress we should expect from RSI.) - Jakub Pachocki on OpenAI's focus on general models: "We believe we could make the models better at specifically mathematics research with additional focus, but we do not prioritize this direction because of the urgency we feel about RSI and automated alignment research." - Jakub Pachocki on pacing AI development: "Currently I believe that no lab has solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed for much longer. I expect and hope for voluntary slowdowns to become commonplace until shared safety bars are established. And I believe that international coordination on future AI development needs to become a top priority for governments around the world."
    @rohanpaul_aiOpenAI just officially said it has reached its "automated research intern" milestone. i.e. a human-supervised system able to complete well-defined tasks that would take a skilled researcher quite few days. inside OpenAI research, agent runtime has already crossed human labor by a wide margin. 3.1-to-1 agent-to-human ratio “In terms of a standard 8 hour workday, as of mid-August, in total, the research organization uses 3.1 agent-workdays of effort for every workday of human labor.” That ratio measures agent runtime rather than equivalent productivity, but it captures how deeply parallel agent work has entered OpenAI research.
    @zephyr_z9RT @deredleritt3r: Key take-aways for me from today's OpenAI announcements: - OpenAI "making strong progress" toward creating the automate…
    @scaling01"OpenAI achieved a goal of an automated research intern" WHAT?